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An energy storage configuration optimization method considering power probability distribution characteristics of renewable energy
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Bingyu Sang1, Bo Yang1, Yibin Tao1, Ketian Liu2
Renewable Energy Resources | 2024, 42(4) : 561 - 568
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Renewable Energy Resources | 2024, 42(4): 561-568
An energy storage configuration optimization method considering power probability distribution characteristics of renewable energy
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Bingyu Sang1, Bo Yang1, Yibin Tao1, Ketian Liu2
Affiliations
  • 1 Jiangsu Energy Storage Variable Current and Application Engineering Technology Research Center China Electric Power Research Institute Nanjing 210003 China
  • 2 School of Electric Power Engineering Nanjing Institute of Technology Nanjing 211167 China
Published: 2024-04-20
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In order to reduce the influences of renewable energy power fluctuations on power systems, an energy storage configuration optimization method considering renewable energy power probability distribution is proposed in this paper. Firstly, calculate and count the renewable energy power fluctuations at different time scales, and determine the probability distribution characteristics of renewable energy power. Secondly, according to the probability distribution characteristics and the gridconnected index of renewable energy, the configuration optimization model of energy storage considering the renewable energy timescale and power fluctuation is set up. Thirdly, based on the given constraints and time scale, calculate the minimum energy storage charging and discharging power where the fluctuations meet any set probability levels, thereby determining the rated power, capacity and initial state of the energy storage. At last, through calculation and analysis using the data measured from a 50 MW photovoltaic power station, the method is proved to be correct and effective. This method only compensates the fluctuated power that does not meet the fluctuation index, and has no impact on the power that has already satisfied.

renewable energy  /  power fluctuations  /  probability distribution  /  energy storage  /  configuration optimization
Bingyu Sang, Bo Yang, Yibin Tao, Ketian Liu. An energy storage configuration optimization method considering power probability distribution characteristics of renewable energy[J]. Renewable Energy Resources, 2024 , 42 (4) : 561 -568 .
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Article Info
  • Receive Date：2023-12-04
  • Online Date：2025-07-22
  • Published：2024-04-20
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  • Received：2023-12-04
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Affiliations
    1 Jiangsu Energy Storage Variable Current and Application Engineering Technology Research Center China Electric Power Research Institute Nanjing 210003 China
    2 School of Electric Power Engineering Nanjing Institute of Technology Nanjing 211167 China
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