In this paper, a hybrid improved particle swarm optimization （IPSO） algorithm is proposed for the optimization of hydroelectric power scheduling in multi-reservoir systems. The conventional particle swarm optimizati...In this paper, a hybrid improved particle swarm optimization （IPSO） algorithm is proposed for the optimization of hydroelectric power scheduling in multi-reservoir systems. The conventional particle swarm optimization （PSO） algorithm is improved in two ways： （1） The linearly decreasing inertia weight coefficient （LDIWC） is replaced by a self-adaptive exponential inertia weight coefficient （SEIWC）, which could make the PSO algorithm more balanceable and more effective in both global and local searches. （2） The crossover and mutation idea inspired by the genetic algorithm （GA） is imported into the particle updating method to enhance the diversity of populations. The potential ability of IPSO in nonlinear numerical function optimization was first tested with three classical benchmark functions. Then, a long-term multi-reservoir system operation model based on IPSO was designed and a case study was carried out in the Minjiang Basin in China, where there is a power system consisting of 26 hydroelectric power plants. The scheduling results of the IPSO algorithm were found to outperform PSO and to be comparable with the results of the dynamic programming successive approximation （DPSA） algorithm.展开更多
Driven by the desire of a low-carbon society,the penetration level of renewable generation in the power grid of China will still grow fast in the near future.As the synchronised generators whose output is controllable...Driven by the desire of a low-carbon society,the penetration level of renewable generation in the power grid of China will still grow fast in the near future.As the synchronised generators whose output is controllable are gradually replaced by volatile energy resources,energy storage is expected to play a vital role in regulation services and flexibility provision.Because the capital cost of energy storage is still relatively high,it is important to assess the value or demand of energy storage before making an investment decision.This paper presents two representative mathematical tools to achieve this target in a geometric fashion.The first one is the multi-parametric programming method.It depicts the reduced cost by deploying energy storage through post-optimal value function,which is easy to visualise or can be embedded in high-level optimisation problems such as storage sizing.The second one is a polyhedral projection method.It represents all feasible power-energy capacity pairs of a storage unit to achieve a certain target.The above methods remove the need of repeatedly solving a large number of problems with varying capacity parameters.Simple examples are given for illustration,and the presented methods can also directly handle problems with complex models and constraints.展开更多
Extracting typical operational scenarios is essential for making flexible decisions in the dispatch of a new power system.A novel deep time series aggregation scheme(DTSAs)is proposed to generate typical operational s...Extracting typical operational scenarios is essential for making flexible decisions in the dispatch of a new power system.A novel deep time series aggregation scheme(DTSAs)is proposed to generate typical operational scenarios,considering the large amount of historical operational snapshot data.Specifically,DTSAs analyse the intrinsic mechanisms of different scheduling operational scenario switching to mathematically represent typical operational scenarios.A Gramian angular summation field-based operational scenario image encoder was designed to convert operational scenario sequences into highdimensional spaces.This enables DTSAs to fully capture the spatiotemporal characteristics of new power systems using deep feature iterative aggregation models.The encoder also facilitates the generation of typical operational scenarios that conform to historical data distributions while ensuring the integrity of grid operational snapshots.Case studies demonstrate that the proposed method extracted new fine-grained power system dispatch schemes and outperformed the latest high-dimensional feature-screening methods.In addition,experiments with different new energy access ratios were conducted to verify the robustness of the proposed method.DTSAs enable dispatchers to master the operation experience of the power system in advance,and actively respond to the dynamic changes of the operation scenarios under the high access rate of new energy.展开更多
The integration of continuously varying and not easily predictable wind power generation is affecting the stability of the power system and leads to increasing demand for balancing services.In this study,a short-term ...The integration of continuously varying and not easily predictable wind power generation is affecting the stability of the power system and leads to increasing demand for balancing services.In this study,a short-term operation model of a district heating system is proposed to optimally schedule the production of both heat and power in a system with high wind power penetration.The application of the model in a case study system shows the increased flexibility offered by the coordination of power generation,consumption and heat storage units which are available in district heating systems.展开更多
This paper summarizes the prevailing power system operation methods for managing the uncertainty brought by large-scale integration of renewables and active load demand.From the perspective of power system operations,...This paper summarizes the prevailing power system operation methods for managing the uncertainty brought by large-scale integration of renewables and active load demand.From the perspective of power system operations,uncertainty management is an important problem.In this paper,the mathematical models used for handling uncertainty are discussed,along with the pros and cons as well as future development efforts of four different operation methods.The study concludes that it is difficult to adopt a universal operation theory for mitigating the uncertainty in power system operations.Instead,it is necessary to choose the most feasible operation method that matches the specific operation requirement.展开更多
State estimation is a critical functionality of energy management system(EMS) to provide power system states in real-time operations. However, problems such as failure to converge, prone to failure during contingencie...State estimation is a critical functionality of energy management system(EMS) to provide power system states in real-time operations. However, problems such as failure to converge, prone to failure during contingencies,and biased estimates while system is under stressed condition occur so that state estimation results may not be reliable.The unreliable results further impact downstream network and market applications, such as contingency analysis,voltage stability analysis, transient stability analysis, system alarming, and unit commitment. Thus, operators may lose the awareness of system condition in EMS. This paper proposes a fully independent and one-of-a-kind system by integrating linear state estimator into situational awareness applications based on real-time synchrophasor data. With guaranteed and accurate state estimation solution and advanced real-time data analytic and monitoring functionalities, the system is capable of assisting operators to assess and diagnose current system conditions for proactive and necessary corrective actions. The architecture, building components, and implementation of the proposed system are explored in detail. Two case studies with simulated data from the subsystems of Electric Reliability Council of Texas(ERCOT) and Los Angeles Department of Water and Power(LADWP) are presented. The test results show the effectiveness and reliability of the system, and its value for realtime power system operations.展开更多
Demand response(DR)is gaining more and more importance in the architecture of power systems in a context of flexible loads and high share of intermittent generation.Changes in electricity markets regulation in several...Demand response(DR)is gaining more and more importance in the architecture of power systems in a context of flexible loads and high share of intermittent generation.Changes in electricity markets regulation in several countries have recently enabled an effective integration of DR mechanisms in power systems.Through its flexible components(pumps,tanks),drinking water systems are suitable candidates for energy-efficient DR mechanisms.However,these systems are often managed independently of power system operation for both economic and operational reasons.Indeed,a sufficient level of economic viability and water demands risk management are necessary for water utilities to integrate their flexibilities to power system operation.In this paper,we proposed a mathematical model for optimizing pump schedules in water systems while trading DR blocs in a spot power market during peak times.Uncertainties about water demands were considered in the mathematical model allowing to propose power reductions covering the potential risk of real-time water demand forecasting inaccuracy.Numerical results were discussed on a real water system in France,demonstrating both economic and ecological benefits.展开更多
In this letter,a new formulation of Lebesgue integration is used to evaluate the probabilistic static security of power system operation with uncertain renewable energy generation.The risk of power flow solutions viol...In this letter,a new formulation of Lebesgue integration is used to evaluate the probabilistic static security of power system operation with uncertain renewable energy generation.The risk of power flow solutions violating any pre-defined operation security limits is obtained by integrating a semialgebraic set composed of polynomials.With the high-order moments of historical data of renewable energy generation,the integration is reformulated as a generalized moment problem which is then relaxed to a semi-definite program(SDP).Finally,the effectiveness of the proposed method is verified by numerical examples.展开更多
The effective operation of a design assurance system cannot be achieved without the effective performance of the independent supervision function.As one of the core functions of the design assurance system,the purpose...The effective operation of a design assurance system cannot be achieved without the effective performance of the independent supervision function.As one of the core functions of the design assurance system,the purpose of the independent supervision function is to ensure that the system operates within the scope of procedures and manuals.At present,the function of independent supervision is a difficult and confusing issue for various original equipment manufacturers as well as suppliers,and there is an urgent requirement to put forward relevant requirements and form relevant methods.Based on the above mentioned objective,the basic requirements of the independent supervision function of design assurance system were studied,the problems and deficiencies in the organization,staffing,and methods existing in the current independent supervision function were analyzed,the improvement suggestions and measures for the performance of the independent supervision function from the aspects of the organization,staffing,procedures,and suppliers were put forward.The present work and conclusions provide guidance and direction for the effective operation of the design assurance system.展开更多
Renewable generation is rapidly increasing and transforming power systems toward“new-type power systems”.The integration of renewable energy resources necessitates a shift from conventional grid-following converters...Renewable generation is rapidly increasing and transforming power systems toward“new-type power systems”.The integration of renewable energy resources necessitates a shift from conventional grid-following converters(GFLs)to advanced grid-forming controls.Although grid-forming converters(GFMs)provide grid support and enhance system stability under weak grid conditions,their deployment requires more robust hardware,complex control algorithms and system operation constraints,resulting in planning and operational trade-offs between system stability and cost efficiency.This paper studies the underexplored question of how many GFMs are needed from a techno-economic perspective.The holistic analysis integrates long-term planning,short-term operational strategies and dynamic stability considerations,thereby supporting large-scale renewable integration while ensuring system security and economic benefits.展开更多
National Grid is the electricity system operator in Great Britain and has an unique feature in so far as it is one of the world’s few for-profit system operators. In addition, the commercially orientation of the Brit...National Grid is the electricity system operator in Great Britain and has an unique feature in so far as it is one of the world’s few for-profit system operators. In addition, the commercially orientation of the British market rules means that nearly every action taken by National Grid to operate the system has a cost associated to it. Based on those factors and in order to encourage National Grid to seek continuous improvements and drive for efficient and economic system operation, the regulator (Ofgem) offers an incentive scheme, whereby a target is agreed annually and any savings in relation to this target are shared between consumers and National Grid in the form of a profit. It is in National Grid’s best interest to have mechanisms to mitigate the impacts of volatility in the costs it faces as system operator so that it can implement cost saving actions without the risk of windfall losses (or gains) arising from sudden changes in uncontrollable drivers. The purpose of this paper is to share the experiences of National Grid in the operation of Great Britain's electricity system, with a special interest on the mechanisms created to manage the associated costs in response to the incentive scheme. It does so by describing the market operation in Great Britain and the costs drivers impacting National Grid’s system operation and illustrating the steps recently taken by National Grid to propose volatility mitigation mechanisms. It concludes with the rationale and expected results from the latest proposals as consulted with the industry for introduction in the incentive scheme starting on 1st April 2011. It is worth noting that with this work, the authors wish to both share the experience with other system operators and regulators in the world, as well as give British market participants an insight on the inner workings of National Grid.展开更多
The data acquisition technologies used in power systems have been continuously improving,thus laying the solid foundation for data-driven operation analysis of power systems.However,existing methods for analyzing the ...The data acquisition technologies used in power systems have been continuously improving,thus laying the solid foundation for data-driven operation analysis of power systems.However,existing methods for analyzing the relationship between operational variables mainly depend on the mathematical model and element parameters of the power system.Therefore,a thorough data-based analysis method is required to investigate the spatiotemporal characteristics of power system operation,especially for new types of power systems.The causal inference method,which has been successfully applied in many fields,is a powerful tool for investigating the interaction of data variables.In this study,a causal inference method is proposed based on supervisory control and data acquisition(SCADA)data for investigating the spatiotemporal causal relationships in power systems.Initially,a multiple data-sequence regression model is proposed to analyze the relationship of operation data variables.Next,the linear non-Gaussian acyclic model(LiNGAM)is used to calculate the causal index of the operational variables,and its limitations are analyzed.Furthermore,a new causal index of“full variable amplitude LiNGAM(FVA-LiNGAM)”is proposed by incorporating prior causal direct knowledge and considering the effect of real variable amplitude.Using the FVA-LiNGAM causal index,the causal relationship of operation variables can be investigated with higher spatiotemporal accuracy than that of the original LiNGAM index.Taking a real SCADA data subset of a provincial power system as an example,the validity of the FVA-LiNGAM causal index is verified.The variation patterns in spatiotemporal causality are explored using actual SCADA data sequences.The result shows that there indeed exists some spatiotemporal causality variation patterns between the operating variables of the power system.展开更多
Irrigation service defines the responsibilities and rights of irrigation system management agencies,water users,and other parties involved in the irrigation service contract.As a result,the irrigation service must be ...Irrigation service defines the responsibilities and rights of irrigation system management agencies,water users,and other parties involved in the irrigation service contract.As a result,the irrigation service must be clearly specified and updated by crop seasons and by all partners.Given the inherent complexity of the service,this article presents and discusses the development and application of a computer model designed to support the specification of public service levels in rice-based irrigation systems.Applied to the Tu Mai irrigation system,the model has enabled all involved parties to define irrigation service levels through systematic analysis and a thorough consideration of constraints such as water resource characteristics,hydraulic structures,and the operational plans of the irrigation system.The research findings have also helped relevant agencies reach agreements on irrigation service levels for the particular irrigation season of spring 2023,which included one irrigation period for land preparation and five subsequent irrigation periods for rice crops corresponding with a specific schedule for operating the system(discharges and duration)that met the farmers’requests for their farming practices and reduced the loss due to rice crop yield decline at the irrigation system as a whole.Additionally,recommendations for improving irrigation services in the Tu Mai system have been made,including upgrading the head pumping station to accommodate lower water levels in the Cau River,aligning the irrigation schedules of the Water User Associations(WUAs)more flexibly,and strictly supervising water deliveries to ensure safety and fairness.展开更多
Anderson医疗卫生服务利用行为模型(The Behavioral Model of Health Services Use,BMHSU)作为西方国家解释个体医疗行为的主流理论模型,近年来开始被国内医疗卫生领域学者作为理论分析框架指导实证分析。由于中西方文化、医疗卫生制度...Anderson医疗卫生服务利用行为模型(The Behavioral Model of Health Services Use,BMHSU)作为西方国家解释个体医疗行为的主流理论模型,近年来开始被国内医疗卫生领域学者作为理论分析框架指导实证分析。由于中西方文化、医疗卫生制度的差异性以及模型指标体系的抽象性,国内学者在应用BMHSU时,普遍存在着模型操作化应用不规范且应用版本滞后的问题。通过阐述2013年完善版BMHSU的指标体系结构以及指标间的关系,并深度解读模型指标体系中变量的定义及其操作化,将有助于国内学者掌握BMHSU的最新发展动态并进行测评量表设计,合理、规范地将其应用到我国医疗卫生领域的实证研究中。展开更多
A future smart grid must fulfill the vision of the Energy Internet in which millions of people produce their own energy from renewables in their homes, offices, and factories and share it with each other. Electric veh...A future smart grid must fulfill the vision of the Energy Internet in which millions of people produce their own energy from renewables in their homes, offices, and factories and share it with each other. Electric vehicles and local energy storage will be widely deployed. Internet technology will be utilized to transform the power grid into an energysharing inter-grid. To prepare for the future, a smart grid with intelligent periphery, or smart GRIP, is proposed. The building blocks of GRIP architecture are called clusters and include an energy-management system （EMS）-controlled transmission grid in the core and distribution grids, micro-grids, and smart buildings and homes on the periphery; all of which are hierarchically structured. The layered architecture of GRIP allows a seamless transition from the present to the future and plug-and-play interoperability. The basic functions of a cluster consist of （1） dispatch, （2） smoothing, and （3） mitigation. A risk-limiting dispatch methodology is presented; a new device, called the electric spring, is developed for smoothing out fluctuations in periphery clusters; and means to mitigate failures are discussed.展开更多
基金supported by the National Natural Science Foundation of China (Grant No. 50679011)
文摘In this paper, a hybrid improved particle swarm optimization （IPSO） algorithm is proposed for the optimization of hydroelectric power scheduling in multi-reservoir systems. The conventional particle swarm optimization （PSO） algorithm is improved in two ways： （1） The linearly decreasing inertia weight coefficient （LDIWC） is replaced by a self-adaptive exponential inertia weight coefficient （SEIWC）, which could make the PSO algorithm more balanceable and more effective in both global and local searches. （2） The crossover and mutation idea inspired by the genetic algorithm （GA） is imported into the particle updating method to enhance the diversity of populations. The potential ability of IPSO in nonlinear numerical function optimization was first tested with three classical benchmark functions. Then, a long-term multi-reservoir system operation model based on IPSO was designed and a case study was carried out in the Minjiang Basin in China, where there is a power system consisting of 26 hydroelectric power plants. The scheduling results of the IPSO algorithm were found to outperform PSO and to be comparable with the results of the dynamic programming successive approximation （DPSA） algorithm.
基金supported by the National Key Research and Development Programme of China(2021YFB2400701).
文摘Driven by the desire of a low-carbon society,the penetration level of renewable generation in the power grid of China will still grow fast in the near future.As the synchronised generators whose output is controllable are gradually replaced by volatile energy resources,energy storage is expected to play a vital role in regulation services and flexibility provision.Because the capital cost of energy storage is still relatively high,it is important to assess the value or demand of energy storage before making an investment decision.This paper presents two representative mathematical tools to achieve this target in a geometric fashion.The first one is the multi-parametric programming method.It depicts the reduced cost by deploying energy storage through post-optimal value function,which is easy to visualise or can be embedded in high-level optimisation problems such as storage sizing.The second one is a polyhedral projection method.It represents all feasible power-energy capacity pairs of a storage unit to achieve a certain target.The above methods remove the need of repeatedly solving a large number of problems with varying capacity parameters.Simple examples are given for illustration,and the presented methods can also directly handle problems with complex models and constraints.
基金The Key R&D Project of Jilin Province,Grant/Award Number:20230201067GX。
文摘Extracting typical operational scenarios is essential for making flexible decisions in the dispatch of a new power system.A novel deep time series aggregation scheme(DTSAs)is proposed to generate typical operational scenarios,considering the large amount of historical operational snapshot data.Specifically,DTSAs analyse the intrinsic mechanisms of different scheduling operational scenario switching to mathematically represent typical operational scenarios.A Gramian angular summation field-based operational scenario image encoder was designed to convert operational scenario sequences into highdimensional spaces.This enables DTSAs to fully capture the spatiotemporal characteristics of new power systems using deep feature iterative aggregation models.The encoder also facilitates the generation of typical operational scenarios that conform to historical data distributions while ensuring the integrity of grid operational snapshots.Case studies demonstrate that the proposed method extracted new fine-grained power system dispatch schemes and outperformed the latest high-dimensional feature-screening methods.In addition,experiments with different new energy access ratios were conducted to verify the robustness of the proposed method.DTSAs enable dispatchers to master the operation experience of the power system in advance,and actively respond to the dynamic changes of the operation scenarios under the high access rate of new energy.
基金sponsored by Swe GRIDS,the Swedish Centre for Smart Grids and Energy Storage,www.swegrids.se.
文摘The integration of continuously varying and not easily predictable wind power generation is affecting the stability of the power system and leads to increasing demand for balancing services.In this study,a short-term operation model of a district heating system is proposed to optimally schedule the production of both heat and power in a system with high wind power penetration.The application of the model in a case study system shows the increased flexibility offered by the coordination of power generation,consumption and heat storage units which are available in district heating systems.
基金supported by National Key Research Program(973 Program,2012CB215102)National Natural Science Foundation of China(51277155)Research Grant Council of Hong Kong SAR(GRF 7124/11E and ECS739713).
文摘This paper summarizes the prevailing power system operation methods for managing the uncertainty brought by large-scale integration of renewables and active load demand.From the perspective of power system operations,uncertainty management is an important problem.In this paper,the mathematical models used for handling uncertainty are discussed,along with the pros and cons as well as future development efforts of four different operation methods.The study concludes that it is difficult to adopt a universal operation theory for mitigating the uncertainty in power system operations.Instead,it is necessary to choose the most feasible operation method that matches the specific operation requirement.
文摘State estimation is a critical functionality of energy management system(EMS) to provide power system states in real-time operations. However, problems such as failure to converge, prone to failure during contingencies,and biased estimates while system is under stressed condition occur so that state estimation results may not be reliable.The unreliable results further impact downstream network and market applications, such as contingency analysis,voltage stability analysis, transient stability analysis, system alarming, and unit commitment. Thus, operators may lose the awareness of system condition in EMS. This paper proposes a fully independent and one-of-a-kind system by integrating linear state estimator into situational awareness applications based on real-time synchrophasor data. With guaranteed and accurate state estimation solution and advanced real-time data analytic and monitoring functionalities, the system is capable of assisting operators to assess and diagnose current system conditions for proactive and necessary corrective actions. The architecture, building components, and implementation of the proposed system are explored in detail. Two case studies with simulated data from the subsystems of Electric Reliability Council of Texas(ERCOT) and Los Angeles Department of Water and Power(LADWP) are presented. The test results show the effectiveness and reliability of the system, and its value for realtime power system operations.
文摘Demand response(DR)is gaining more and more importance in the architecture of power systems in a context of flexible loads and high share of intermittent generation.Changes in electricity markets regulation in several countries have recently enabled an effective integration of DR mechanisms in power systems.Through its flexible components(pumps,tanks),drinking water systems are suitable candidates for energy-efficient DR mechanisms.However,these systems are often managed independently of power system operation for both economic and operational reasons.Indeed,a sufficient level of economic viability and water demands risk management are necessary for water utilities to integrate their flexibilities to power system operation.In this paper,we proposed a mathematical model for optimizing pump schedules in water systems while trading DR blocs in a spot power market during peak times.Uncertainties about water demands were considered in the mathematical model allowing to propose power reductions covering the potential risk of real-time water demand forecasting inaccuracy.Numerical results were discussed on a real water system in France,demonstrating both economic and ecological benefits.
基金This work was supported by the National Natural Science Foundation of China(No.52007163)in part by China Postdoctoral Science Foundation(No.2020M671718).
文摘In this letter,a new formulation of Lebesgue integration is used to evaluate the probabilistic static security of power system operation with uncertain renewable energy generation.The risk of power flow solutions violating any pre-defined operation security limits is obtained by integrating a semialgebraic set composed of polynomials.With the high-order moments of historical data of renewable energy generation,the integration is reformulated as a generalized moment problem which is then relaxed to a semi-definite program(SDP).Finally,the effectiveness of the proposed method is verified by numerical examples.
文摘The effective operation of a design assurance system cannot be achieved without the effective performance of the independent supervision function.As one of the core functions of the design assurance system,the purpose of the independent supervision function is to ensure that the system operates within the scope of procedures and manuals.At present,the function of independent supervision is a difficult and confusing issue for various original equipment manufacturers as well as suppliers,and there is an urgent requirement to put forward relevant requirements and form relevant methods.Based on the above mentioned objective,the basic requirements of the independent supervision function of design assurance system were studied,the problems and deficiencies in the organization,staffing,and methods existing in the current independent supervision function were analyzed,the improvement suggestions and measures for the performance of the independent supervision function from the aspects of the organization,staffing,procedures,and suppliers were put forward.The present work and conclusions provide guidance and direction for the effective operation of the design assurance system.
基金supported in part by the Carbon Neutrality and Energy System Transformation project and in part by EPSRC under Grant EP/Y025946/1.
文摘Renewable generation is rapidly increasing and transforming power systems toward“new-type power systems”.The integration of renewable energy resources necessitates a shift from conventional grid-following converters(GFLs)to advanced grid-forming controls.Although grid-forming converters(GFMs)provide grid support and enhance system stability under weak grid conditions,their deployment requires more robust hardware,complex control algorithms and system operation constraints,resulting in planning and operational trade-offs between system stability and cost efficiency.This paper studies the underexplored question of how many GFMs are needed from a techno-economic perspective.The holistic analysis integrates long-term planning,short-term operational strategies and dynamic stability considerations,thereby supporting large-scale renewable integration while ensuring system security and economic benefits.
文摘National Grid is the electricity system operator in Great Britain and has an unique feature in so far as it is one of the world’s few for-profit system operators. In addition, the commercially orientation of the British market rules means that nearly every action taken by National Grid to operate the system has a cost associated to it. Based on those factors and in order to encourage National Grid to seek continuous improvements and drive for efficient and economic system operation, the regulator (Ofgem) offers an incentive scheme, whereby a target is agreed annually and any savings in relation to this target are shared between consumers and National Grid in the form of a profit. It is in National Grid’s best interest to have mechanisms to mitigate the impacts of volatility in the costs it faces as system operator so that it can implement cost saving actions without the risk of windfall losses (or gains) arising from sudden changes in uncontrollable drivers. The purpose of this paper is to share the experiences of National Grid in the operation of Great Britain's electricity system, with a special interest on the mechanisms created to manage the associated costs in response to the incentive scheme. It does so by describing the market operation in Great Britain and the costs drivers impacting National Grid’s system operation and illustrating the steps recently taken by National Grid to propose volatility mitigation mechanisms. It concludes with the rationale and expected results from the latest proposals as consulted with the industry for introduction in the incentive scheme starting on 1st April 2011. It is worth noting that with this work, the authors wish to both share the experience with other system operators and regulators in the world, as well as give British market participants an insight on the inner workings of National Grid.
基金supported by the National Natural Science Foundation of China(51877034).
文摘The data acquisition technologies used in power systems have been continuously improving,thus laying the solid foundation for data-driven operation analysis of power systems.However,existing methods for analyzing the relationship between operational variables mainly depend on the mathematical model and element parameters of the power system.Therefore,a thorough data-based analysis method is required to investigate the spatiotemporal characteristics of power system operation,especially for new types of power systems.The causal inference method,which has been successfully applied in many fields,is a powerful tool for investigating the interaction of data variables.In this study,a causal inference method is proposed based on supervisory control and data acquisition(SCADA)data for investigating the spatiotemporal causal relationships in power systems.Initially,a multiple data-sequence regression model is proposed to analyze the relationship of operation data variables.Next,the linear non-Gaussian acyclic model(LiNGAM)is used to calculate the causal index of the operational variables,and its limitations are analyzed.Furthermore,a new causal index of“full variable amplitude LiNGAM(FVA-LiNGAM)”is proposed by incorporating prior causal direct knowledge and considering the effect of real variable amplitude.Using the FVA-LiNGAM causal index,the causal relationship of operation variables can be investigated with higher spatiotemporal accuracy than that of the original LiNGAM index.Taking a real SCADA data subset of a provincial power system as an example,the validity of the FVA-LiNGAM causal index is verified.The variation patterns in spatiotemporal causality are explored using actual SCADA data sequences.The result shows that there indeed exists some spatiotemporal causality variation patterns between the operating variables of the power system.
文摘Irrigation service defines the responsibilities and rights of irrigation system management agencies,water users,and other parties involved in the irrigation service contract.As a result,the irrigation service must be clearly specified and updated by crop seasons and by all partners.Given the inherent complexity of the service,this article presents and discusses the development and application of a computer model designed to support the specification of public service levels in rice-based irrigation systems.Applied to the Tu Mai irrigation system,the model has enabled all involved parties to define irrigation service levels through systematic analysis and a thorough consideration of constraints such as water resource characteristics,hydraulic structures,and the operational plans of the irrigation system.The research findings have also helped relevant agencies reach agreements on irrigation service levels for the particular irrigation season of spring 2023,which included one irrigation period for land preparation and five subsequent irrigation periods for rice crops corresponding with a specific schedule for operating the system(discharges and duration)that met the farmers’requests for their farming practices and reduced the loss due to rice crop yield decline at the irrigation system as a whole.Additionally,recommendations for improving irrigation services in the Tu Mai system have been made,including upgrading the head pumping station to accommodate lower water levels in the Cau River,aligning the irrigation schedules of the Water User Associations(WUAs)more flexibly,and strictly supervising water deliveries to ensure safety and fairness.
文摘Anderson医疗卫生服务利用行为模型(The Behavioral Model of Health Services Use,BMHSU)作为西方国家解释个体医疗行为的主流理论模型,近年来开始被国内医疗卫生领域学者作为理论分析框架指导实证分析。由于中西方文化、医疗卫生制度的差异性以及模型指标体系的抽象性,国内学者在应用BMHSU时,普遍存在着模型操作化应用不规范且应用版本滞后的问题。通过阐述2013年完善版BMHSU的指标体系结构以及指标间的关系,并深度解读模型指标体系中变量的定义及其操作化,将有助于国内学者掌握BMHSU的最新发展动态并进行测评量表设计,合理、规范地将其应用到我国医疗卫生领域的实证研究中。
基金sponsored by National Key Basic Research Program of China (973 Program) (2012CB215102) for WuUS National Science Foundation Award (1135872) for VaraiyaHong Kong RGC Theme-based Research Project (T23-701/14-N) for Hui
文摘A future smart grid must fulfill the vision of the Energy Internet in which millions of people produce their own energy from renewables in their homes, offices, and factories and share it with each other. Electric vehicles and local energy storage will be widely deployed. Internet technology will be utilized to transform the power grid into an energysharing inter-grid. To prepare for the future, a smart grid with intelligent periphery, or smart GRIP, is proposed. The building blocks of GRIP architecture are called clusters and include an energy-management system （EMS）-controlled transmission grid in the core and distribution grids, micro-grids, and smart buildings and homes on the periphery; all of which are hierarchically structured. The layered architecture of GRIP allows a seamless transition from the present to the future and plug-and-play interoperability. The basic functions of a cluster consist of （1） dispatch, （2） smoothing, and （3） mitigation. A risk-limiting dispatch methodology is presented; a new device, called the electric spring, is developed for smoothing out fluctuations in periphery clusters; and means to mitigate failures are discussed.
