Data-driven methods are widely recognized and generate conducive results for online transient stability assessment.However,the tedious and time-consuming process of sample collection is often overlooked.The functionin...Data-driven methods are widely recognized and generate conducive results for online transient stability assessment.However,the tedious and time-consuming process of sample collection is often overlooked.The functioning of power systems involves repetitive sample collection due to the constant variations occurring in the operation mode,thereby highlighting the importance of collection efficiency.As a means to achieve high sample collection efficiency following the operation mode change,we propose a novel instance-transfer method based on compression and matching strategy,which facilitates the direct acquisition of useful previous samples,used for creating the new sample base.Additionally,we present a hybrid model to ensure rationality in the process of sample similarity comparison and selection,where features of analytical modeling with special significance are introduced into data-driven methods.At the same time,a data-driven method can also be integrated in the hybrid model to achieve rapid error correction of analytical models,enabling fast and accurate post-disturbance transient stability assessment.As a paradigm,we consider a scheme for online critical clearing time estimation,where integrated extended equal area criterion and extreme learning machine are employed as analytical model part and data-driven error correction model part,respectively.Derived results validate the credible efficacy of the proposed method.展开更多
Because of the contradiction between the scale of new energy installations and the continuous load growth in the central and eastern regions of China,the balance problems of the electricity market are becoming increas...Because of the contradiction between the scale of new energy installations and the continuous load growth in the central and eastern regions of China,the balance problems of the electricity market are becoming increasingly prominent,and it is urgent to solve such problems through inter-provincial electricity spot markets.First,the development history and construction status of the inter-provincial electricity spot market are summarized;second,the mechanism design of the inter-provincial electricity spot market is sorted out in terms of the market operation framework,transaction declaration,and clearing methods;subsequently,the evaluation index system of the inter-provincial electricity spot market is constructed,including four themes of electricity mutual aid and support,new energy consumption,economic benefits of market-based allocation,and social benefits of market-based allocation;finally,the operation of the inter-provincial electricity spot market is comprehensively analyzed by the algorithm based on the market operation data of 2022,which proves the feasibility and practicality of the proposed index system.展开更多
Photovoltaic(PV)inverter,as a promising voltage/var control(VVC)resource,can supply flexible reactive power to reduce microgrid power loss and regulate bus voltage.Meanwhile,active power plays a significant role in mi...Photovoltaic(PV)inverter,as a promising voltage/var control(VVC)resource,can supply flexible reactive power to reduce microgrid power loss and regulate bus voltage.Meanwhile,active power plays a significant role in microgrid voltage profile.Price-based demand response(PBDR)can shift load demand via determining time-varying prices,which can be regarded as an effective means for active power shifting.However,due to the different characteristics,PBDR and inverter-based VVC lack systematic coordination.Thus,this paper proposes a PBDR-supported three-stage hierarchically coordinated voltage control method,including day-ahead PBDR price scheduling,hour-ahead reactive power dispatch of PV inverters,and realtime local droop control of PV inverters.Considering their mutual influence,a stochastic optimization method is utilized to centrally or hierarchically coordinate adjacent two stages.To solve the bilinear constraints of droop control function,the problem is reformulated into a second-order cone programming relaxation model.Then,the concave constraints are convexified,forming a penalty convex-concave model for feasible solution recovery.Lastly,a convex-concave procedure-based solution algorithm is proposed to iteratively solve the penalty model.The proposed method is tested on 33-bus and IEEE 123-bus distribution networks and compared with other methods.The results verify the high efficiency of the proposed method to achieve power loss reduction and voltage regulation.展开更多
The widespread penetration of wind power has introduced challenges in managing the rotor angle stability characteristics of the power system,affecting both small-and largedisturbance rotor angle stabilities due to its...The widespread penetration of wind power has introduced challenges in managing the rotor angle stability characteristics of the power system,affecting both small-and largedisturbance rotor angle stabilities due to its uncertain steadystate power output and inverter-based grid interfacing.Traditionally,the two stability criteria are separately analyzed and improved via preventive control,e.g.,generation rescheduling.However,they may have conflicting relationship during the preventive control optimization.Therefore,this paper firstly integrates both small-and large-disturbance rotor angle stabilities and proposes an optimization model for preventive generation rescheduling to simultaneously improve them while considering wind power uncertainty.The stability constraints are linearized using trajectory sensitivity analysis,while the wind power fluctuation is represented by employing a scenario-based Taguchi's orthogonal array testing(TOAT)method.An iterative solution method is proposed to efficiently solve the optimization model.The proposed optimization model is established on the New England 10-machine 39-bus system and a large Nordic system,demonstrating its robustness and effectiveness in addressing wind power fluctuations.展开更多
基金supported by Central China Branch of State Grid Corporation of China(Characteristics Analysis and Operation Control Technology Research on Power Grid Adapting to Large-scale and Strong Sparse New Energy)。
文摘Data-driven methods are widely recognized and generate conducive results for online transient stability assessment.However,the tedious and time-consuming process of sample collection is often overlooked.The functioning of power systems involves repetitive sample collection due to the constant variations occurring in the operation mode,thereby highlighting the importance of collection efficiency.As a means to achieve high sample collection efficiency following the operation mode change,we propose a novel instance-transfer method based on compression and matching strategy,which facilitates the direct acquisition of useful previous samples,used for creating the new sample base.Additionally,we present a hybrid model to ensure rationality in the process of sample similarity comparison and selection,where features of analytical modeling with special significance are introduced into data-driven methods.At the same time,a data-driven method can also be integrated in the hybrid model to achieve rapid error correction of analytical models,enabling fast and accurate post-disturbance transient stability assessment.As a paradigm,we consider a scheme for online critical clearing time estimation,where integrated extended equal area criterion and extreme learning machine are employed as analytical model part and data-driven error correction model part,respectively.Derived results validate the credible efficacy of the proposed method.
基金State Grid Jibei Electric Power Company Limited(no.SGJBJY00GPJS2310051)Natural Science Foundation of Beijing Municipality(no.9242015).
文摘Because of the contradiction between the scale of new energy installations and the continuous load growth in the central and eastern regions of China,the balance problems of the electricity market are becoming increasingly prominent,and it is urgent to solve such problems through inter-provincial electricity spot markets.First,the development history and construction status of the inter-provincial electricity spot market are summarized;second,the mechanism design of the inter-provincial electricity spot market is sorted out in terms of the market operation framework,transaction declaration,and clearing methods;subsequently,the evaluation index system of the inter-provincial electricity spot market is constructed,including four themes of electricity mutual aid and support,new energy consumption,economic benefits of market-based allocation,and social benefits of market-based allocation;finally,the operation of the inter-provincial electricity spot market is comprehensively analyzed by the algorithm based on the market operation data of 2022,which proves the feasibility and practicality of the proposed index system.
基金supported in part by the National Natural Science Foundation of China(No.52307091)in part by the Natural Science Foundation of Jiangsu Province(No.BK20230952)+1 种基金in part by the China Postdoctoral Science Foundation(No.2023M740976)in part by the Start Up Grant of City University of Hong Kong(No.9380163)。
文摘Photovoltaic(PV)inverter,as a promising voltage/var control(VVC)resource,can supply flexible reactive power to reduce microgrid power loss and regulate bus voltage.Meanwhile,active power plays a significant role in microgrid voltage profile.Price-based demand response(PBDR)can shift load demand via determining time-varying prices,which can be regarded as an effective means for active power shifting.However,due to the different characteristics,PBDR and inverter-based VVC lack systematic coordination.Thus,this paper proposes a PBDR-supported three-stage hierarchically coordinated voltage control method,including day-ahead PBDR price scheduling,hour-ahead reactive power dispatch of PV inverters,and realtime local droop control of PV inverters.Considering their mutual influence,a stochastic optimization method is utilized to centrally or hierarchically coordinate adjacent two stages.To solve the bilinear constraints of droop control function,the problem is reformulated into a second-order cone programming relaxation model.Then,the concave constraints are convexified,forming a penalty convex-concave model for feasible solution recovery.Lastly,a convex-concave procedure-based solution algorithm is proposed to iteratively solve the penalty model.The proposed method is tested on 33-bus and IEEE 123-bus distribution networks and compared with other methods.The results verify the high efficiency of the proposed method to achieve power loss reduction and voltage regulation.
基金supported in part by Ministry of Education(MOE),Republic of Singapore(No.AcRF TIER-1 RT11/22)。
文摘The widespread penetration of wind power has introduced challenges in managing the rotor angle stability characteristics of the power system,affecting both small-and largedisturbance rotor angle stabilities due to its uncertain steadystate power output and inverter-based grid interfacing.Traditionally,the two stability criteria are separately analyzed and improved via preventive control,e.g.,generation rescheduling.However,they may have conflicting relationship during the preventive control optimization.Therefore,this paper firstly integrates both small-and large-disturbance rotor angle stabilities and proposes an optimization model for preventive generation rescheduling to simultaneously improve them while considering wind power uncertainty.The stability constraints are linearized using trajectory sensitivity analysis,while the wind power fluctuation is represented by employing a scenario-based Taguchi's orthogonal array testing(TOAT)method.An iterative solution method is proposed to efficiently solve the optimization model.The proposed optimization model is established on the New England 10-machine 39-bus system and a large Nordic system,demonstrating its robustness and effectiveness in addressing wind power fluctuations.
