China has set carbon emission goals for 2030 and 2060.Renewable energy sources,primarily wind and photovoltaic power,are being considered as the future of power generation.The major limitation to the development of ne...China has set carbon emission goals for 2030 and 2060.Renewable energy sources,primarily wind and photovoltaic power,are being considered as the future of power generation.The major limitation to the development of new energies is the limited flexibility of regulations on power system resources,resulting in insufficient consumption capacity.Thus,the flexible resource costs for peak shaving as well as the reasonable coordinated development and operation optimization of regional renewable energy need to be considered.In this study,a renewable energy development layout configuration analysis method was established by considering the composite cost of a power system,comprehensively analyzing the potential of various flexibility regulation resources for the power system and its composite peak shaving cost,and combining renewable energy output characteristics,load forecasting,grid development,and other factors.For the optimization of various flexible resource utilization methods,a peak shaving cost estimation method from the perspective of the entire power system was established by combining the on-grid electricity prices and operating costs of different power sources.A collaborative optimization model of power system operation that aims at the lowest peak shaving cost and satisfies the constraints of operation,safety,and environmental protection was proposed.Finally,a certain area of Gansu Province was used as an example to perform detailed analysis and calculation,which demonstrated that the model has an optimal effect.This model can provide an analysis method for regional renewable energy development layout configurations and system optimization operations.展开更多
As the smart home is the end-point power consumer, it is the major part to be controlled in a smart micro grid. There are so many challenges for implementing a smart home system in which the most important ones are th...As the smart home is the end-point power consumer, it is the major part to be controlled in a smart micro grid. There are so many challenges for implementing a smart home system in which the most important ones are the cost and simplicity of the implementation method. It is clear that the major share of the total cost is referred to the internal controlling system network; although there are too many methods proposed but still there is not any satisfying method at the consumers＇ point of view. In this paper, a novel solution for this demand is proposed, which not only minimizes the implementation cost, but also provides a high level of reliability and simplicity of operation; feasibility, extendibility, and flexibility are other leading properties of the design.展开更多
As the share of renewable generations(RGs)in power systems grows,the demand for peak regulation has increased,leading to higher associated costs.In this paper,we propose a mechanism for allocating peak regulation cost...As the share of renewable generations(RGs)in power systems grows,the demand for peak regulation has increased,leading to higher associated costs.In this paper,we propose a mechanism for allocating peak regulation cost among RGs and distributing compensation among peak regulation resources(PRRs).This mechanism is integrated into a coordinated generation scheduling model to enhance the economic efficiency of independent system operators(ISOs)and incentivize PRRs.First,we propose a model for peak regulation cost of diverse PRRs.Next,we develop a method for constructing an RG output curve that facilitates peak regulation.The waveform difference between this constructed curve and the RG forecasted output curve is then calculated.In addition,we create a mechanism for peak regulation cost allocation and compensation distribution that incorporates the waveform difference,the peak regulation contribution of PRRs,and participant satisfaction as key indicators.We then establish a coordinated generation scheduling model using this mechanism,which is solved through the column-and-cut generation algorithm and rolling optimization.Finally,we conduct case studies based on an improved IEEE 30-bus test system and perform several comparative analyses to validate the effectiveness of the proposed mechanism and coordinated generation scheduling model.展开更多
基金the National Natural Science Foundation of China(No.71273088).
文摘China has set carbon emission goals for 2030 and 2060.Renewable energy sources,primarily wind and photovoltaic power,are being considered as the future of power generation.The major limitation to the development of new energies is the limited flexibility of regulations on power system resources,resulting in insufficient consumption capacity.Thus,the flexible resource costs for peak shaving as well as the reasonable coordinated development and operation optimization of regional renewable energy need to be considered.In this study,a renewable energy development layout configuration analysis method was established by considering the composite cost of a power system,comprehensively analyzing the potential of various flexibility regulation resources for the power system and its composite peak shaving cost,and combining renewable energy output characteristics,load forecasting,grid development,and other factors.For the optimization of various flexible resource utilization methods,a peak shaving cost estimation method from the perspective of the entire power system was established by combining the on-grid electricity prices and operating costs of different power sources.A collaborative optimization model of power system operation that aims at the lowest peak shaving cost and satisfies the constraints of operation,safety,and environmental protection was proposed.Finally,a certain area of Gansu Province was used as an example to perform detailed analysis and calculation,which demonstrated that the model has an optimal effect.This model can provide an analysis method for regional renewable energy development layout configurations and system optimization operations.
文摘As the smart home is the end-point power consumer, it is the major part to be controlled in a smart micro grid. There are so many challenges for implementing a smart home system in which the most important ones are the cost and simplicity of the implementation method. It is clear that the major share of the total cost is referred to the internal controlling system network; although there are too many methods proposed but still there is not any satisfying method at the consumers＇ point of view. In this paper, a novel solution for this demand is proposed, which not only minimizes the implementation cost, but also provides a high level of reliability and simplicity of operation; feasibility, extendibility, and flexibility are other leading properties of the design.
基金supported by the National Key R&D Program of China(No.2022YFB2403400).
文摘As the share of renewable generations(RGs)in power systems grows,the demand for peak regulation has increased,leading to higher associated costs.In this paper,we propose a mechanism for allocating peak regulation cost among RGs and distributing compensation among peak regulation resources(PRRs).This mechanism is integrated into a coordinated generation scheduling model to enhance the economic efficiency of independent system operators(ISOs)and incentivize PRRs.First,we propose a model for peak regulation cost of diverse PRRs.Next,we develop a method for constructing an RG output curve that facilitates peak regulation.The waveform difference between this constructed curve and the RG forecasted output curve is then calculated.In addition,we create a mechanism for peak regulation cost allocation and compensation distribution that incorporates the waveform difference,the peak regulation contribution of PRRs,and participant satisfaction as key indicators.We then establish a coordinated generation scheduling model using this mechanism,which is solved through the column-and-cut generation algorithm and rolling optimization.Finally,we conduct case studies based on an improved IEEE 30-bus test system and perform several comparative analyses to validate the effectiveness of the proposed mechanism and coordinated generation scheduling model.
