市场机制下面向电网的储能系统优化配置

doi:10.19595/j.cnki.1000-6753.tces.181304

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Abstract With the advancement of the marketization process in China and the decline in the cost of battery energy storage system (BESS), it is possible for BESS to participate in the electricity market as an independent operator. In this paper, from the view of the power grid configuration BESS, a method for optimization of BESS locating and sizing under the market mechanism is proposed. Firstly, from the aspects of direct income and indirect income, the cost-benefit system of BESS participation in the electricity market is analyzed. Consequently, a multi-objective, two-tier model for optimal allocation of BESS considering planning and operation is established. The outer goal is to maximize comprehensive benefits of BESS, the saving income of operating cost for conventional units, the reducing income of curtailed renewable energy, and the decreasing income of network loss of systems. The inner goal is to minimize the cost of coordinated operation of BESS, renewable energy and conventional units. In addition, considering the impact of charge-discharge strategy on the life cycle of BESS, the interaction of BESS planning and operation is introduced into the model based on the equivalent life loss. Finally, the improved particle swarm optimization algorithm is used in the improved 39-node system. The results verify the effectiveness of the proposed model and method.

Key words： Battery energy storage system multi-objective two-tier decision equivalent life loss particle swarm optimization

Received: 31 July 2018 Published: 18 November 2019

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TM711

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	Articles by authors
	Jiang Xin
	Zheng Xueyuan
	Hu Guobao
	Chen Genyong
	Zeng Qingshan

Cite this article:

Jiang Xin,Zheng Xueyuan,Hu Guobao等. Optimization of Battery Energy Storage System Locating and Sizing for the Grid under the Market Mechanism[J]. Transactions of China Electrotechnical Society, 2019, 34(21): 4601-4610.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.181304 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/I21/4601

[1] Dunn B, Kamath H, Tarascon J M.Electrical energy storage for the grid: a battery of choices[J]. Science, 2011, 334(658): 928-935.
[2] Akhavan-Hejazi H, Mohsenian-Rad H.Optimal operation of independent storage systems in energy and reserve markets with high wind penetration[J]. IEEE Transactions on Smart Grid, 2014, 5(2): 1088-1097.
[3] 陶琼, 桑丙玉, 叶季蕾, 等. 高光伏渗透率配电网中分布式储能系统的优化配置方法[J]. 高电压技术, 2016, 42(7): 2158-2165.
Tao Qiong, Sang Bingyu, Ye Jilei, et al.Optimal configuration method of distributed energy storage systems in distribution network with high penetration of photovoltaic[J]. High Voltage Engineering, 2016, 42(7): 2158-2165.
[4] 吴小刚, 刘宗歧, 田立亭, 等. 基于改进多目标粒子群算法的配电网储能选址定容[J]. 电网技术, 2014, 38(12): 3405-3411.
Wu Xiaogang, Liu Zongqi, Tian Liting, et al.Energy storage device locating and sizing for distribution network based on improved multi-objective particle swarm optimizer[J]. Power System Technology, 2014, 38(12): 3405-3411.
[5] 李秀磊, 耿光飞, 季玉琦, 等. 考虑实际运行的配电网电池储能系统的优化配置研究[J]. 电力系统保护与控制, 2017, 45(9): 88-94.
Li Xiulei, Geng Guangfei, Ji yuqi, et al. Study on optimal allocation of battery energy storage in distribution network considering the actual operation[J]. Power System Protection and Control, 2017, 45(9): 88-94.
[6] 赵书强, 王扬, 徐岩, 等. 基于机会约束目标规划的高风电接入比例下大规模储能与火电协调调度[J]. 中国电机工程学报, 2016, 36(4): 969-977.
Zhao Shuqiang, Wang Yang, Xu Yan, et al.Coordinated dispatch of large scale energy storage system and thermal generation in high wind power penetration level system based on chance constrained goal programming[J]. Proceedings of the CSEE, 2016, 36(4): 969-977.
[7] 刘建平, 王旭斌, 吴岩, 等. 含风电和储能的电力系统安全约束机组组合问题研究[J]. 现代电力, 2015, 32(5): 48-55.
Liu Jianping, Wang Xubin, Wu Yan, et al.Research on security-constrained unit commitment of power systems with wind farm and energy storage[J]. Modern Electric Power, 2015, 32(5): 48-55.
[8] 易林, 娄素华, 吴耀武, 等. 基于变寿命模型的改善风电可调度性的电池储能容量优化[J]. 电工技术学报, 2015, 30(15): 53-59.
Yi Lin, Lou Suhua, Wu Yaowu, et al.Optimal battery capacity based on life time predication for improving the schedulability of the wind power[J]. Transactions of China Electrotechnical Society, 2015, 30(15): 53-59.
[9] 李建林, 郭斌琪, 牛萌, 等. 风光储系统储能容量优化配置策略[J]. 电工技术学报, 2018, 33(6): 1189-1196.
Li Jianlin, Guo Binqi, Niu Meng, et al.Optimal configuration strategy of energy storage capacity in wind/pv/storage hybrid system[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1189-1196.
[10] 郑乐, 胡伟, 陆秋瑜, 等. 储能系统用于提高风电接入的规划和运行综合优化模型[J]. 中国电机工程学报, 2014, 34(16): 2533-2543.
Zheng Le, Hu Wei, Lu Qiuyu, et al.Research on planning and operation model for energy storage system to optimize wind power integration[J]. Pro- ceedings of the CSEE, 2014, 34(16): 2533-2543.
[11] 中华人民共和国国家发展和改革委员会经济体制综合改革司. 中共中央国务院关于进一步深化电力体制改革的若干意见(中发〔2015〕9号)[EB/OL]. [2015-03-15]. http://tgs.ndrc.gov.cn/zywj/201601/ t20160129_773852.html.
[12] 国家能源局. 国家能源局关于印发《完善电力辅助服务补偿(市场)机制工作方案》的通知[EB/OL]. [2017-11-15]. http://zfxxgk.nea.gov.cn/auto92/201711/ t20171122_3058.htm.
[13] 宋艺航, 谭忠富, 李欢欢, 等. 促进风电消纳的发电侧、储能及需求侧联合优化模型[J]. 电网技术, 2014, 38(3): 610-615.
Song Yihang, Tan Zhongfu, Li Huanhuan, et al.An optimization model combining generation side and energy storage system with demand side to promote accommodation of wind power[J]. Power System Technology, 2014, 38(3): 610-615.
[14] 崔强, 王秀丽, 刘祖永. 市场环境下计及储能电站运行的联动电价研究及其效益分析[J]. 中国电机工程学报, 2013, 33(13): 62-68.
Cui Qiang, Wang Xiuli, Liu Zuyong.Study on linkage electricity price and benefit analysis considering energy storage station operation in market environment[J]. Proceedings of the CSEE, 2013, 33(13): 62-68.
[15] 韩晓娟, 王丽娜, 高僮, 等. 基于成本和效益分析的并网光储微网系统电源规划[J]. 电工技术学报, 2016, 31(14): 31-39, 66.
Han Xiaojuan, Wang Lina, Gao Tong, et al.Generation planning of grid-connected micro-grid system with PV and batteries storage system based on cost and benefit analysis[J]. Transactions of China Electrotechnical Society, 2016, 31(14): 31-39, 66.
[16] Dubarry M, Liaw B Y.Identify capacity fading mechanism in a commercial LiFePO₄ cell[J]. Journal of Power Sources, 2009, 194(1): 541-549.
[17] Teleke S, Baran M E, Bhattacharya S, et al.Optimal control of battery energy storage for wind farm dispatching[J]. IEEE Transactions on Energy Con- version, 2010, 25(3): 787-794.
[18] 李伟, 杨强华, 张宏图, 等. 基于合作博弈的区域电力市场中消纳弃风激励机制研究[J]. 可再生能源, 2014, 32(4): 475-480.
Li Wei, Yang Qianghua, Zhang Hongtu, et al.Incentive mechanism research on accommodation of wind power inregional electricity market based on cooperative game[J]. Renewable Energy Resources, 2014, 32(4): 475-480.
[19] 甘伟, 艾小猛, 方家琨, 等. 风-火-水-储-气联合优化调度策略[J]. 电工技术学报, 2017, 32(增刊1): 11-20.
Gan Wei, Ai Xiaomeng, Fang Jiakun, et al.Coor- dinated optimal operation of the wind, coal, hydro, gas units with energy storage[J]. Transactions of China Electrotechnical Society, 2017, 32(S1): 11-20.
[20] 高戈, 胡泽春. 含规模化储能系统的最优潮流模型与求解方法[J]. 电力系统保护与控制, 2014, 42(21): 9-16.
Gao Ge, Hu Zechun.Formulation and solution method of optimal power flow with large-scale energy storage[J]. Power System Protection and Control, 2014, 42(21): 9-16.
[21] Cao Bin, Zhao Jianwei, Lü Zhihan, et al.Distributed parallel particle swarm optimization for multi- objective and many-objective large-scale optimi- zation[J]. IEEE Access, 2017, 5(99): 8214-8221.
[22] 熊虎, 向铁元, 陈红坤, 等. 含大规模间歇式电源的模糊机会约束机组组合研究[J]. 中国电机工程学报, 2013, 33(13): 36-44.
Xiong Hu, Xiang Tieyuan, Chen Hongkun, et al.Research of fuzzy chance constrained unit com- mitment containing large-scale intermittent power[J]. Proceedings of the CSEE, 2013, 33(13): 36-44.