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1.上海电力大学自动化工程学院,上海发电过程智能管控工程技术研究中心,上海市 200090
2.上海明华电力科技有限公司,上海市 200090
刘志成(1996—),男,硕士研究生,主要研究方向:智能发电、电力储能和综合智慧能源。E-mail:mr_liuzhch@163.com
彭道刚(1977—),男,通信作者,博士,教授,硕士生导师,主要研究方向:综合智慧能源与能源互联网。E-mail:pengdaogang@shiep.edu.cn
赵慧荣(1990—),女,博士,硕士生导师,主要研究方向:智能发电、火电信息安全防护。E-mail:hrzhao@shiep.edu.cn
收稿:2021-12-01,
修回:2022-02-11,
网络出版:2022-04-15,
纸质出版:2023-01-25
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刘志成,彭道刚,赵慧荣等.基于改进权重因子的火储联合调频综合性能评估[J].电力系统自动化,2023,47(2):154-163.
LIU Zhicheng,PENG Daogang,ZHAO Huirong,et al.Comprehensive Performance Evaluation of Combined Thermal-Energy Storage Frequency Regulation Based on Improved Weight Factors[J].Automation of Electric Power Systems,2023,47(2):154-163.
刘志成,彭道刚,赵慧荣等.基于改进权重因子的火储联合调频综合性能评估[J].电力系统自动化,2023,47(2):154-163. DOI: 10.7500/AEPS20211201009.
LIU Zhicheng,PENG Daogang,ZHAO Huirong,et al.Comprehensive Performance Evaluation of Combined Thermal-Energy Storage Frequency Regulation Based on Improved Weight Factors[J].Automation of Electric Power Systems,2023,47(2):154-163. DOI: 10.7500/AEPS20211201009.
随着新能源在电力系统中渗透率逐渐升高,电网的调频需求和对火电机组的调频要求越来越高。储能是缓解电网和机组调频压力的重要手段,但缺乏有效评价储能调频过程的方法。针对此,提出一种基于改进权重因子的火储联合调频综合性能评估方法。通过重构火储联合调频的性能指标体系,引入关联分析法和熵权法,从根本上解决专家经验矩阵的主观性影响,以保证权重因子分布的客观性和合理性;同时,采用模糊方式与时间尺度相适应方法构造判断矩阵,并通过主成分分析判据综合评价调节过程优劣。实验结果表明,所提方法能有效判别不同时间尺度下火储联合调频的调节性能优劣,有助于建立储能系统参与电力系统调频的新辅助补偿标准。
With the increasing penetration of renewable energy resources in the power system
the frequency regulation requirements of the power grid and thermal power units are getting higher and higher. Energy storage can relieve the pressure on frequency regulation of the power grid and unit
but there are no effective methods to evaluate the frequency regulation process of energy storage. A comprehensive performance evaluation method for combined thermal-energy storage frequency regulation based on improved weight factors is proposed. To ensure the objectivity and rationality of the distribution of weight factors
the frequency regulation performance index system is reconstructed
and the subjectivity problem of experts is fundamentally solved by introducing the relation analysis and the entropy weight method. The fuzzy judgment matrix is constructed by using the method of adapting fuzzy method to time scales
and the quality of regulation process is comprehensively evaluated by criteria of the principal component analysis. The experimental results show that the proposed method can effectively judge the adjustment performance of frequency regulation with different time scales
and help energy storage system establish auxiliary compensation standards to participate in the frequency regulation of the power system.
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