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An Energy Storage Capacity Configuration Method for a Provincial Power System Considering Flexible Adjustment of the Tie-Line

Bing Sun (), Zheng Zhang, Jing Hu, Zihan Meng, Bibin Huang and Nana Li
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Bing Sun: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Zheng Zhang: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Jing Hu: State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
Zihan Meng: State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
Bibin Huang: State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
Nana Li: State Grid Energy Research Institute Co., Ltd., Beijing 102209, China

Energies, 2024, vol. 17, issue 1, 1-26

Abstract: A high proportion of renewable generators are widely integrated into the power system. Due to the output uncertainty of renewable energy, the demand for flexible resources is greatly increased in order to meet the real-time balance of the system. But the investment cost of flexible resources, such as energy storage equipment, is still high. It is necessary to propose a method for determining the capacity of energy storage scientifically. An optimization and planning method of energy storage capacity is proposed. It is characterized by determining the optimal capacity of energy storage by carrying out 8760 hours of time series simulation for a provincial power grid with energy storage. Firstly, the current situation of power supply and demand for provincial power grids is analyzed. The difficulty of realizing a power balance at different time scales is analyzed. Then, the source load balancing solutions at different time scales are proposed. The difficulty of a long-term power balance can be alleviated by flexibly adjusting the power on the tie-line of the provincial power grid. And the difficulty of a short-term power balance can be met through energy storage. In addition, an optimal planning model of an energy storage system is established with the power supply cost as the objective function. The optimal capacity of the energy storage is determined by comparing the objective function of different planning schemes. Finally, a case study is carried out. It is found that flexible adjustment of interprovincial interconnection lines can reduce the maximum demand for electricity from 8.439 billion kWh to 2.299 billion kWh. At the same time, the curtailment ratio of renewable electricity can be decreased from 12.6% to 5.0% by using energy storage. However, the average power supply cost of the system gradually increases from 0.307 CNY/kWh to 0.485 CNY/kWh. It is necessary to fully tap into the various values of energy storage equipment.

Keywords: energy storage; new type of power system; power and energy balance; provincial power system; power supply cost (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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