Optimization of energy storage capacity allocation in multi-time scales cascaded hydro-wind-solar base

被引：0
|
作者：
Duanmu C. [1 ]
Shi L. [1 ]
Jian D. [2 ]
Ding R. [2 ]
Wu F. [1 ]
Li Y. [1 ]
机构：
[1] School of Electrical and Power Engineering, Hohai University, Nanjing
[2] Yalong River Basin Hydropower Development Co., Chengdu
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2024年 / 44卷 / 07期
基金：
中国国家自然科学基金;
关键词：
battery storage; capacity configuration; cascading hydropower; combined power generation; genetic algorithms; grouping control;
D O I：
10.16081/j.epae.202405011
中图分类号：
学科分类号：
摘要：
Clean energy base containing a high proportion of wind and solar power generation is an effective way to carbon neutrality,but the stochasticity and volatility of wind and solar power generation have serious influence on the security and stability of the grid. Therefore,a multi-time scales nested method for optimizing the allocation of energy storage capacity of clean energy base considering hydro-wind-solar complementation and battery grouping operation is proposed. Batteries are added to a clean energy base with cascaded hydro-wind-solar,and its three-group charge-discharge control operation strategy is investigated. A multi-time scales nested two-layer energy storage capacity allocation optimization model considering hydro-wind-solar complementarity is constructed,in which the inner layer takes advantage of the hydro-wind-solar complementarity to suppress large fluctuations of wind-photovoltaic output in large time scale and the outer layer takes into account the attenuation degree factor to optimize the energy storage in order to suppress small fluctuations of wind-photovoltaic output in small time scale. An example analysis shows that the proposed model can make full use of the complementary advantages of flexible hydropower regulation and fast response batteries to effectively smooth the power fluctuations of clean energy base and verifies the effectiveness of the proposed three-battery grouping strategy in cost saving and loss mitigation. © 2024 Electric Power Automation Equipment Press. All rights reserved.
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页码：173 / 179
页数：6
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