考虑多模式融合的光储充电站储能系统优化运行策略

doi:10.11930/j.issn.1004-9649.202210009

中国电力 ›› 2023, Vol. 56 ›› Issue (3): 144-153,161.DOI: 10.11930/j.issn.1004-9649.202210009

• 储能系统控制策略研究 • 上一篇下一篇

考虑多模式融合的光储充电站储能系统优化运行策略

时珊珊¹, 魏新迟¹, 张宇¹, 王育飞², 方陈¹, 王皓靖¹

1. 国网上海市电力公司电力科学研究院，上海 200437;
2. 上海电力大学电气工程学院，上海 200090

收稿日期:2022-10-07 修回日期:2023-02-14 出版日期:2023-03-28 发布日期:2023-03-28
作者简介:时珊珊(1985-),女,从事储能技术、电动汽车技术、新能源发电技术等研究,E-mail:sss3397@163.com
基金资助:
上海市青年科技启明星项目（20QB1400300）

Optimal Operation Strategy of Energy Storage System in Photovoltaic-Storage Charging Station Considering Multi-mode Integration

SHI Shanshan¹, WEI Xinchi¹, ZHANG Yu¹, WANG Yufei², FANG Chen¹, WANG Haojing¹

1. State Grid Shanghai Electric Power Research Institute, Shanghai 200437, China;
2. College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Received:2022-10-07 Revised:2023-02-14 Online:2023-03-28 Published:2023-03-28
Supported by:
This work is supported by Shanghai Youth Science and Technology Star Project (No.20QB1400300).

摘要/Abstract

摘要： 针对储能系统单一运行模式难以满足光储充电站多类技术需求的问题，提出一种考虑多模式融合的光储充电站储能系统优化运行策略。首先，分析光储充电站储能系统典型运行模式，在此基础上进行储能系统多模式融合设计；其次，建立不同模式下光储充电站储能系统运行模型，进一步提出多模式融合的光储充电站储能系统优化运行策略；最后，基于上海某光储充电站24 h运行曲线，对所提策略进行仿真与实验分析。结果表明：所提策略可降低光储充电站并网负荷波动和储能系统能量平衡用电成本，提升光储充电站运行效益。

关键词: 光储充电站, 储能系统, 功率平滑, 负荷整形, 分时电价, 多模式融合

Abstract: A single operation mode of the energy storage system is difficult to meet various technical requirements of a photovoltaic-storage charging station. In view of this problem, this paper proposes an optimal operation strategy of the energy storage system in a photovoltaic-storage charging station considering multi-mode integration. Firstly, typical operation modes of the energy storage system in a photovoltaic-storage charging station are analyzed, and multi-mode integration of the energy storage system is designed on this basis. Secondly, operation models of the energy storage system in the photovoltaic-storage charging station under different modes are established to further propose an optimal operation strategy of the energy storage system in the photovoltaic-storage charging station with multi-mode integration. Finally, the proposed strategy is simulated and experimentally analyzed based on 24 h operation curves of a photovoltaic-storage charging station in Shanghai. The results show that the proposed strategy can reduce load fluctuation and energy-balance cost of the energy storage system, thus improving operating benefits of the photovoltaic-storage charging station.

Key words: photovoltaic-storage charging station, energy storage system, power smoothing, load shaping, time-of-use tariff, multi-mode integration

时珊珊, 魏新迟, 张宇, 王育飞, 方陈, 王皓靖. 考虑多模式融合的光储充电站储能系统优化运行策略[J]. 中国电力, 2023, 56(3): 144-153,161.

SHI Shanshan, WEI Xinchi, ZHANG Yu, WANG Yufei, FANG Chen, WANG Haojing. Optimal Operation Strategy of Energy Storage System in Photovoltaic-Storage Charging Station Considering Multi-mode Integration[J]. Electric Power, 2023, 56(3): 144-153,161.

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参考文献

[1] 蔡海青, 代伟, 赵静怡, 等. 基于多参数规划的电动汽车充电站有效容量评估方法[J]. 中国电力, 2022, 55(11): 175–183
CAI Haiqing, DAI Wei, ZHAO Jingyi, et al. Available capacity evaluation method of electric vehicle charging stations based on multi-parametric programming[J]. Electric Power, 2022, 55(11): 175–183
[2] 毕悦, 方思瑞, 于舒祺. 含光伏并网的弱交流系统低频振荡协调控制策略[J]. 电力科学与技术学报, 2021, 36(4): 59–65
BI Rui, FANG Sirui, YU Shuqi. Coordinated control strategy for low frequency oscillations of weak AC grid connected PV systems[J]. Journal of Electric Power Science and Technology, 2021, 36(4): 59–65
[3] 胡福年, 徐伟成, 陈军. 含可再生能源与CAES电站的电热综合能源系统调度策略[J]. 中国电力, 2020, 55(11): 129–141
HU Funian, XU Weicheng, CHEN Jun. Dispatching strategy for integrated electric and heating energy system including renewable energy and CAES power station[J]. Electric Power, 2020, 55(11): 129–141
[4] 薛贵挺, 汪柳君, 刘哲, 等. 考虑碳排放的光储充一体站日前运行策略[J]. 电力系统保护与控制, 2022, 50(7): 103–110
XIE Guiting, WANG Liujun, LIU Zhe, et al. Day-ahead operation strategy of an integrated photovoltaic storage and charging station considering carbon emissions[J]. Power System Protection and Control, 2022, 50(7): 103–110
[5] 李大祥, 张新松. 用户侧电池储能系统运行策略优化与效益分析[J]. 智慧电力, 2021, 49(12): 31–36
LI Daxiang, ZHANG Xinsong. Operation strategy optimization and benefits analysis of user side battery energy storage systems[J]. Smart Power, 2021, 49(12): 31–36
[6] 付张杰, 王育飞, 薛花, 等. 基于NSGA-Ⅲ与模糊聚类的光储式充电站储能系统优化运行方法[J]. 电力建设, 2021, 42(3): 27–34
FU Zhangjie, WANG Yufei, XUE Hua, et al. Optimal operation method of energy storage system in PV-integrated EV charging station applying NSGA-Ⅲ and fuzzy clustering[J]. Electric Power Construction, 2021, 42(3): 27–34
[7] 胡珏, 韦钢, 袁洪涛, 等. 电动汽车充换储一体站的建模[J]. 电力建设, 2020, 41(6): 44–51
HU Jue, WEI Gang, YUAN Hongtao, et al. Modeling of EV charging-swapping-storage integrated station[J]. Electric Power Construction, 2020, 41(6): 44–51
[8] 胡代豪, 郭力, 刘一欣, 等. 计及光储快充一体站的配电网随机-鲁棒混合优化调度[J]. 电网技术, 2021, 45(2): 507–519
HU Daihao, GUO Li, LIU Yixin, et al. Stochastic/robust hybrid optimal dispatching of distribution networks considering fast charging stations with photovoltaic and energy storage[J]. Power System Technology, 2021, 45(2): 507–519
[9] 陈亭轩, 徐潇源, 严正, 等. 基于深度强化学习的光储充电站储能系统优化运行[J]. 电力自动化设备, 2021, 41(10): 90–98
CHEN Tingxuan, XU Xiaoyuan, YAN Zheng, et al. Optimal operation based on deep reinforcement learning for energy storage system in photovoltaic-storage charging station[J]. Electric Power Automation Equipment, 2021, 41(10): 90–98
[10] 桂强, 史一炜, 周云, 等. 考虑储能动态运行特性的充电站光储容量优化配置模型[J]. 电力建设, 2021, 42(5): 90–99
GUI Qiang, SHI Yiwei, ZHOU Yun, et al. Optimal configuration model of photovoltaic and energy storage capacity of charging station considering battery dynamic characteristics[J]. Electric Power Construction, 2021, 42(5): 90–99
[11] 李湘旗, 禹海峰, 李欣然, 等. 考虑储能系统动态全寿命周期特性的多功能应用需求规划方法[J]. 电力建设, 2020, 41(1): 45–54
LI Xiangqi, YU Haifeng, LI Xinran, et al. Planning method for multi-functional application demand considering dynamic life cycle characteristics of energy storage[J]. Electric Power Construction, 2020, 41(1): 45–54
[12] DENG Y J, ZHANG Y X, LUO F J, et al. Operational planning of centralized charging stations utilizing second-life battery energy storage systems[J]. IEEE Transactions on Sustainable Energy, 2021, 12(1): 387–399.
[13] 王育飞, 叶俊斌, 薛花, 等. 基于改进雨流计数法的梯次利用电池储能系统优化控制[J]. 电力系统自动化, 2022, 46(8): 39–49
WANG Yufei, YE Junbin, XUE Hua, et al. Optimal control for energy storage system with echelon utilization batteries based on improved rain-flow counting method[J]. Automation of Electric Power Systems, 2022, 46(8): 39–49
[14] 李辉, 郭忠涵, 李肇汉, 等. 基于几何加权移动平均滤波算法的改进储能平滑控制策略[J]. 中国电力, 2018, 51(3): 105–112
LI Hui, GUO Zhonghan, LI Zhaohan, et al. Improved energy storage smoothing control strategy based on geometric weighted moving average filter algorithm[J]. Electric Power, 2018, 51(3): 105–112
[15] VERMA A, SINGH B. AFF-SOGI-DRC control of renewable energy based grid interactive charging station for EV with power quality improvement[J]. IEEE Transactions on Industry Applications, 2021, 57(1): 588–597.
[16] 孟娅, 李欣然, 黎淑娟, 等. 电池储能参与配电网削峰填谷的变功率控制策略[J]. 电力建设, 2018, 39(4): 45–50
MENG Ya, LI Xinran, LI Shujuan, et al. Variable power control strategy of battery energy storage system participating in distribution network peak load shifting[J]. Electric Power Construction, 2018, 39(4): 45–50
[17] TRAN V T, MUTTAQI K M, SUTANTO D. A robust power management strategy with multi-mode control features for an integrated PV and energy storage system to take the advantage of ToU electricity pricing[J]. IEEE Transactions on Industry Applications, 2019, 55(2): 2110–2120.
[18] 傅质馨, 李紫嫣, 李寒兵, 等. 基于分时电价和激励补贴机制的家庭能量双层优化模型[J]. 电力建设, 2021, 42(11): 108–116
FU Zhixin, LI Ziyan, LI Hanbing, et al. Two-tier optimization model of home energy considering time-of-use electricity price and incentive subsidy mechanism[J]. Electric Power Construction, 2021, 42(11): 108–116
[19] 许寅, 王佳璇, 吴翔宇, 等. 水光互补发电系统超低频振荡抑制控制策略研究[J]. 天津大学学报(自然科学与工程技术版), 2021, 54(12): 1248–1257
XU Yin, WANG Jiaxuan, WU Xiangyu, et al. Suppression control strategy of ultra-low frequency oscillation in hydro-PV complementary generation system[J]. Journal of Tianjin University (Science and Technology), 2021, 54(12): 1248–1257
[20] 余苏敏, 杜洋, 史一炜, 等. 考虑V2B智慧充电桩群的低碳楼宇优化调度[J]. 电力自动化设备, 2021, 41(9): 95–101
YU Sumin, DU Yang, SHI Yiwei, et al. Optimal scheduling of low-carbon building considering V2B smart charging pile groups[J]. Electric Power Automation Equipment, 2021, 41(9): 95–101
[21] 全慧, 李相俊, 张杨, 等. 快充电站多类型应用方式的并网影响及控制技术综述[J]. 中国电力, 2021, 54(1): 89–95,103
QUAN Hui, LI Xiangjun, ZHANG Yang, et al. A review of grid-connection impact and control technology of FCS multi-type application modes[J]. Electric Power, 2021, 54(1): 89–95,103
[22] 严干贵, 蔡长兴, 段双明, 等. 考虑电池储能单元分组优化的微电网运行控制策略[J]. 电力系统自动化, 2020, 44(23): 38–46
YAN Gangui, CAI Changxing, DUAN Shuangming, et al. Operation control strategy of microgrid considering grouping optimization of battery energy storage units[J]. Automation of Electric Power Systems, 2020, 44(23): 38–46

考虑多模式融合的光储充电站储能系统优化运行策略

Optimal Operation Strategy of Energy Storage System in Photovoltaic-Storage Charging Station Considering Multi-mode Integration

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考虑多模式融合的光储充电站储能系统优化运行策略

Optimal Operation Strategy of Energy Storage System in Photovoltaic-Storage Charging Station Considering Multi-mode Integration

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