基于改进VIKOR算法的梯次利用电池电网储能场景适用性评价方法
TM912; 快速发展的电动汽车带来了巨量的退役动力电池,但其梯次利用场景缺乏科学的甄选方法.研究了梯次利用电池电网储能场景适用性评价方法.首先,从技术性能、经济性能和安全性能3个维度,构建了综合考虑电池运行状态、储能配置经济效益和梯次利用安全风险的梯次利用电池电网储能场景适用性评价指标体系.其次,采用多属性群决策方法优化设定评价维度权重,采用CRITIC法和熵权法形成组合赋权法对评价指标进行权重设置,设计了基于改进VIKOR算法的应用场景适用性评价算法.最后,针对峰谷套利、平抑可再生能源出力波动和调频辅助服务3种典型电网储能应用场景,量化计算了给定退役动力电池状态下电网储能应用场景的适用度....
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| Published in | 全球能源互联网 Vol. 7; no. 2; pp. 211 - 219 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
北京交通大学电气工程学院,北京市 海淀区 100044%北京交通大学电气工程学院,北京市 海淀区 100044
01.03.2024
国网河南省电力公司平顶山供电公司,河南省 平顶山市 467000%南方电网科学研究院有限责任公司,广东省 广州市 510663 Editorial Office of Journal of Global Energy Interconnection |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2096-5125 |
| DOI | 10.19705/j.cnki.issn2096-5125.2024.02.010 |
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| Abstract | TM912; 快速发展的电动汽车带来了巨量的退役动力电池,但其梯次利用场景缺乏科学的甄选方法.研究了梯次利用电池电网储能场景适用性评价方法.首先,从技术性能、经济性能和安全性能3个维度,构建了综合考虑电池运行状态、储能配置经济效益和梯次利用安全风险的梯次利用电池电网储能场景适用性评价指标体系.其次,采用多属性群决策方法优化设定评价维度权重,采用CRITIC法和熵权法形成组合赋权法对评价指标进行权重设置,设计了基于改进VIKOR算法的应用场景适用性评价算法.最后,针对峰谷套利、平抑可再生能源出力波动和调频辅助服务3种典型电网储能应用场景,量化计算了给定退役动力电池状态下电网储能应用场景的适用度.提出的梯次利用电池电网储能场景适用性评价方法可为给定状态的退役动力电池甄选出适用场景,为实际工程相关决策人员提供决策依据. |
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| AbstractList | 快速发展的电动汽车带来了巨量的退役动力电池，但其梯次利用场景缺乏科学的甄选方法。研究了梯次利用电池电网储能场景适用性评价方法。首先，从技术性能、经济性能和安全性能3个维度，构建了综合考虑电池运行状态、储能配置经济效益和梯次利用安全风险的梯次利用电池电网储能场景适用性评价指标体系。其次，采用多属性群决策方法优化设定评价维度权重，采用CRITIC法和熵权法形成组合赋权法对评价指标进行权重设置，设计了基于改进VIKOR算法的应用场景适用性评价算法。最后，针对峰谷套利、平抑可再生能源出力波动和调频辅助服务3种典型电网储能应用场景，量化计算了给定退役动力电池状态下电网储能应用场景的适用度。提出的梯次利用电池电网储能场景适用性评价方法可为给定状态的退役动力电池甄选出适用场景，为实际工程相关决策人员提供决策依据。 TM912; 快速发展的电动汽车带来了巨量的退役动力电池,但其梯次利用场景缺乏科学的甄选方法.研究了梯次利用电池电网储能场景适用性评价方法.首先,从技术性能、经济性能和安全性能3个维度,构建了综合考虑电池运行状态、储能配置经济效益和梯次利用安全风险的梯次利用电池电网储能场景适用性评价指标体系.其次,采用多属性群决策方法优化设定评价维度权重,采用CRITIC法和熵权法形成组合赋权法对评价指标进行权重设置,设计了基于改进VIKOR算法的应用场景适用性评价算法.最后,针对峰谷套利、平抑可再生能源出力波动和调频辅助服务3种典型电网储能应用场景,量化计算了给定退役动力电池状态下电网储能应用场景的适用度.提出的梯次利用电池电网储能场景适用性评价方法可为给定状态的退役动力电池甄选出适用场景,为实际工程相关决策人员提供决策依据. |
| Abstract_FL | The rapid development of electric vehicles has brought a huge amount of retired power batteries,but there is a lack of scientific selection methods for the scenarios of their second-life.This thesis carries out the research on the evaluation method of the applicability of grid energy storage scenarios for the second-life of batteries.Firstly,from the three dimensions of technical performance,economic performance and safety performance,an evaluation index system for the applicability of grid energy storage scenarios of second-life batteries is constructed,which comprehensively considers the battery operation status,economic benefits of energy storage configuration and safety risks of second-life.Secondly,the multi-attribute group decision-making method is adopted to optimally set the evaluation dimension weights;the CRITIC method and entropy weight method are used to form a combined assignment method to set the weights of the evaluation indexes.Then,an evaluation algorithm for the applicability of application scenarios based on the improved VIKOR algorithm is designed.Finally,for the three typical grid energy storage application scenarios of peak/valley arbitrage,flattening of renewable energy output fluctuation and FM auxiliary service,the applicability of grid energy storage application scenarios for a given retired power battery state is quantitatively calculated.The applicability evaluation method of grid energy storage scenarios proposed in this paper can select the applicable scenarios for a state-given retired power batteries,and provide a basis for relevant decision-makers in actual projects. |
| Author | 刘哲 雷博 谢桦 孔德鹏 |
| AuthorAffiliation | 北京交通大学电气工程学院,北京市 海淀区 100044%北京交通大学电气工程学院,北京市 海淀区 100044;国网河南省电力公司平顶山供电公司,河南省 平顶山市 467000%南方电网科学研究院有限责任公司,广东省 广州市 510663 |
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| Author_FL | XIE Hua LEI Bo LIU Zhe KONG Depeng |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| Keywords | evaluation indicators 梯次利用 储能场景 适用性评价 退役动力电池 energy storage scenario second-life applicability evaluation 评价指标 retired power battery |
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| SubjectTerms | 储能场景 梯次利用 评价指标 退役动力电池 适用性评价 |
| Title | 基于改进VIKOR算法的梯次利用电池电网储能场景适用性评价方法 |
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