考虑风光互补的储能优化配置研究

doi:10.19595/j.cnki.1000-6753.tces.L90536

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摘要

该文在考虑风光互补的情况下,研究交直流电网中的储能优化配置。首先,基于相关系数,利用模型预测控制算法分析储能集中式和分散式并网对其配置的影响;再者,分析不同风光类型、不同采样间隔、不同电站数量对储能配置的影响;最后,通过算例分析不同风光互补形式下的储能优化配置情况,以促进储能在可再生能源发电中的应用。

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	陈泽西
	孙玉树
	张妍
	李美成
	张德隆
	肖万芳

关键词 ：交直流电网, 风光互补, 相关系数, 波动率, 储能配置

Abstract：

The complementarity of wind power and PV is considered to study the optimal configuration of energy storage in AC/DC power grids in this paper. First, Pearson's correlation coefficient is used to analyze the impacts of energy storage centralized and decentralized grid connection on its size with model predictive control algorithm. In addition, the impacts of different types of wind power and PV, different sampling intervals, and different number of power stations on the energy storage size are analyzed. Finally, the optimal energy storage size with different complementary forms of wind power and PV are analyzed through a case study, which can promote the application of energy storage in renewable energy.

Key words： AC/DC power grid complementary of wind power and PV correlation coefficient fluctuation rate energy storage size

收稿日期: 2020-07-17

PACS:

TM614

基金资助:

国家自然科学基金（71974055）、北京节能与电力技术开发基金会（2019BJ0294）和中国科学院洁净能源先导科技专项（XDA21050000）资助项目

通讯作者: 孙玉树男,1987年生,博士研究生,助理研究员,研究方向为新能源发电、电力储能及微电网等。E-mail: yushusun@mail.iee.ac.cn

作者简介: 陈泽西男,1990年生,博士研究生,工程师,研究方向为可再生能源发电、电网稳定运行控制等。E-mail: 3178955859@qq.com

引用本文:

陈泽西, 孙玉树, 张妍, 李美成, 张德隆, 肖万芳. 考虑风光互补的储能优化配置研究[J]. 电工技术学报, 2021, 36(zk1): 145-153. Chen Zexi, Sun Yushu, Zhang Yan, Li Meicheng, Zhang Delong, Xiao Wanfang. Research on Energy Storage Optimal Allocation Considering Complementarity of Wind Power and PV. Transactions of China Electrotechnical Society, 2021, 36(zk1): 145-153.

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[1] 李欣然, 邓涛, 黄际元, 等. 储能电池参与电网快速调频的自适应控制策略[J]. 高电压技术, 2017, 43(7): 2362-2369.
Li Xinran, Deng Tao, Huang Jiyuan, et al.Battery energy storage systems self-adaptation control strategy in fast frequency regulation[J]. High Voltage Engin- eering, 2017, 43(7): 2362-2369.
[2] Zarrilli D, Giannitrapani A, Paoletti S, et al.Energy storage operation for voltage control in distribution networks: a receding horizon approach[J]. IEEE Transactions on Control Systems Technology, 2018, 26(2): 599-609.
[3] 周强, 汪宁渤, 何世恩, 等. 高弃风弃光背景下中国新能源发展总结及前景探究[J]. 电力系统保护与控制, 2017, 45(10): 146-154.
Zhou Qiang, Wang Ningbo, He Shien, et al.Summary and prospect of China’s new energy development under the background of high abandoned new energy power[J]. Power System Protection and Control, 2017, 45(10): 146-154.
[4] 郭玲娟, 魏斌, 韩肖清, 等. 基于集合经验模态分解的交直流混合微电网混合储能容量优化配置[J]. 高电压技术, 2020, 46(2): 527-537.
Guo Lingjuan, Wei Bin, Han Xiaoqing, et al.Capacity optimal configuration of hybrid energy storage in hybrid AC/DC micro-grid based on ensemble empirical mode decomposition[J]. High Voltage Engineering, 2020, 46(2): 527-537.
[5] 桑丙玉, 姚良忠, 李明杨, 等. 基于二阶锥规划的含大规模风电接入的直流电网储能配置[J]. 电力系统保护与控制, 2020, 48(5): 86-94.
Sang Bingyu, Yao Liangzhong, Li Mingyang, et al.Research on energy storage system planning of DC grid with large-scale wind power integration[J]. Power System Protection and Control, 2020, 48(5): 86-94.
[6] 张释中, 裴玮, 杨艳红, 等. 基于柔性直流互联的多微网集成聚合运行优化及分析[J]. 电工技术学报, 2019, 34(5): 1025-1037.
Zhang Shizhong, Pei Wei, Yang Yanhong, et al.Optimization and analysis of multi-microgrids inte- gration and aggregation operation based on flexible DC interconnection[J]. Transactions of China Electro- technical Society, 2019, 34(5): 1025-1037.
[7] 杨茂, 陈郁林. 风电功率波动特性定量刻画及应用研究[J]. 太阳能学报, 2019, 40(6): 1771-1779.
Yang Mao, Chen Yulin.A study for quantitative characterization of wind power fluctuations and its applications[J]. Acta Energiae Solaris Sinica, 2019, 40(6): 1771-1779.
[8] 葛晓琳, 郝广东, 夏澍, 等. 高比例风电系统的优化调度方法[J]. 电网技术, 2019, 43(2): 390-399.
Ge Xiaolin, Hao Guangdong, Xia Shu, et al.An optimal system scheduling method with high pro- portion of wind power[J]. Power System Technology, 2019, 43(2): 390-399.
[9] 崔杨, 曲钰, 王铮, 等. 基于Daubechies6离散小波的风电集群功率汇聚效应的时频特性分析[J]. 中国电机工程学报, 2019, 39(3): 664-674.
Cui Yang, Qu Yu, Wang Zheng, et al.Time- frequency characteristic analysis of clustering effect of wind power based on Daubechies6 discrete wavelet[J]. Proceedings of the CSEE, 2019, 39(3): 664-674.
[10] 夏泠风, 黎嘉明, 赵亮, 等. 考虑光伏电站时空相关性的光伏出力序列生成方法[J]. 中国电机工程学报, 2017, 37(7): 1982-1992.
Xia Lingfeng, Li Jiaming, Zhao Liang, et al.A PV power time series generating method considering temporal and spatial correlation characteristics[J]. Proceedings of the CSEE, 2017, 37(7): 1982-1992.
[11] 卢锦玲, 於慧敏. 基于混合Copula的风光功率相关结构分析[J]. 太阳能学报, 2017, 38(11): 3188-3194.
Lu Jinling, Yu Huimin.Dependence structure analysis of wind and PV power based on hybrid Copula[J]. Acta Energiae Solaris Sinica, 2017, 38(11): 3188-3194.
[12] 李树林, 戴嘉彤, 董海鹰, 等. 考虑相关性的风光抽蓄互补发电系统优化运行[J]. 电力系统及其自动化学报, 2019, 31(11): 92-102.
Li Shulin, Dai Jiatong, Dong Haiying, et al.Optimal operation of wind power-photovoltaic-pumped storage joint power generation system considering correlations[J]. Proceedings of the CSU-EPSA, 2019, 31(11): 92-102.
[13] Shi Jie, Lee Weijen, Liu Xiaofei.Generation schedu- ling optimization of wind-energy storage system based on wind power output fluctuation features[J]. IEEE Transactions on Industry Applications, 2018, 54(1): 10-17.
[14] Lin F J, Chiang H C, Chang J K, et al.Intelligent wind power smoothing control with BESS[J]. IET Renewable Power Generation, 2017, 11(2): 398-407.
[15] Nazaripouya H, Chu C C, Pota H R, et al.Battery energy storage system control for intermittency smoothing using an optimized two-stage filter[J]. IEEE Transactions on Sustainable Energy, 2018, 9(2): 664-675.
[16] 雷鸣宇, 杨子龙, 王一波, 等. 光/储混合系统中的储能控制技术研究[J]. 电工技术学报, 2016, 31(23): 86-92.
Lei Mingyu, Yang Zilong, Wang Yibo, et al.Study on control technology of energy storage station in photovoltaic/storage system[J]. Transactions of China Electrotechnical Society, 2016, 31(23): 86-92.
[17] Sun Yushu, Zhao Zhenxing, Yang Min, et al.Over- view of energy storage in renewable energy power fluctuation mitigation[J]. CSEE Journal of Power and Energy Systems, 2020, 6(1): 160-173
[18] Sun Yushu, Tang Xisheng, Sun Xiaozhe, et al.Model predictive control and improved low-pass filtering strategies based on wind power fluctuation miti- gation[J]. Journal of Modern Power Systems and Clean Energy, 2019, 7(3): 512-524.