参与调峰的储能系统配置方案及经济性分析

doi:10.19595/j.cnki.1000-6753.tces.200678

摘要
图/表
参考文献
相关文章 (7)

全文: PDF (1986 KB) HTML
输出: BibTeX | EndNote (RIS)

摘要配置储能系统是减少机组调峰负担、增加风电接纳空间的有效手段。该文提出一种储能辅助电网调峰的配置方案。该方案外层模型为优化配置模型,以储能系统净收益、火电机组出力标准差改善量以及新增风电接纳量指标构成多因素优化模型,采用迭代计算的方法得到配置备选集内所有方案的多因素指标,选取最优值作为兼顾技术性及经济性的储能系统配置结果。外层模型各指标依靠内层模型输出参数进行计算,内层模型为优化调度模型,综合考虑储能系统运行成本、火电机组运行成本以及弃风惩罚成本,以系统调峰运行成本最小为目标,优化系统风电接纳量,并得到储能系统充放电功率及火电机组出力。最后,基于某局部电网实测数据,验证了配置方案的有效性,并对储能系统全寿命周期内的经济性进行分析。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	李军徽
	张嘉辉
	李翠萍
	陈国航
	张昊天

关键词 ：储能调峰, 火电深度调峰, 配置方案, 调度策略, 经济性分析

Abstract：The configuration of energy storage system was an effective means to reduce the load of load shifting and increased the space of wind power acceptance. This paper proposed a configuration scheme of energy storage auxiliary power grid peak regulation. The scheme of outer model for optimal allocation model, the net gain in energy storage system, thermal power unit output standard errors improved the quantity and the new wind power acceptance indexed constitute a multi-factor optimization model, adopted the method of iterative calculation configured for all solutions in the selection of multi-factor index, selected the optimal value as a result of both technical and economical energy storage system configuration. Outer model output parameters to calculate each index on the inner model, the inner model for optimal operation model, considered energy storage system operation cost, operated cost of thermal power unit, and abandoned the wind punishment cost, the minimum cost of peak load regulating operation system as the goal, to optimize system wind quantity, and got the energy storage system to charge and discharge power and thermal power unit output. Finally, based on the measured data of a local power grid, the effectiveness of the configuration scheme was verified, and the economy of the energy storage system was analyzed in the whole life cycle.

Key words： Energy storage peak regulation thermal power depth peak shaving allocation plan scheduling strategy economic analysis

收稿日期: 2020-06-20

PACS:	TM611
	TM715

基金资助:中央引导地方科技发展资金吉林省重点实验室基础研究专项资助项目（202002005JC）

通讯作者: 李翠萍女,1982年生,博士,硕士生导师,研究方向为新能源发电与运行控制、电动汽车设计与控制。E-mail：licuipingabc@163.com

作者简介: 李军徽男,1976年生,博士,教授,研究方向为新能源发电联网运行关键技术和储能技术的应用。E-mail：lijunhui@neepu. edu.cn

引用本文:

李军徽, 张嘉辉, 李翠萍, 陈国航, 张昊天. 参与调峰的储能系统配置方案及经济性分析[J]. 电工技术学报, 2021, 36(19): 4148-4160. Li Junhui, Zhang Jiahui, Li Cuiping, Chen Guohang, Zhang Haotian. Configuration Scheme and Economic Analysis of Energy Storage System Participating in Grid Peak Shaving. Transactions of China Electrotechnical Society, 2021, 36(19): 4148-4160.

链接本文:

https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.200678 https://dgjsxb.ces-transaction.com/CN/Y2021/V36/I19/4148

[1] 国家能源局. 2020年上半年风电并网运行情况[R]. [2020-07-31]. . 2020年上半年风电并网运行情况[R]. [2020-07-31]. http://www.nea.gov.cn/2020-07/31/c_ 139254298.htm.
[2] 麻秀范, 王戈, 朱思嘉, 等. 计及风电消纳与发电集团利益的日前协调优化调度[J]. 电工技术学报, 2021, 36(3): 579-587.
Ma Xiufan, Wang Ge, Zhu Sijia, et al.Coordinated day-ahead optimal dispatch considering wind power consumption and the benefits of power generation group[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 579-587.
[3] 鲁宗相, 李海波, 乔颖. 高比例可再生能源并网的电力系统灵活性评价与平衡机理[J].中国电机工程学报, 2017, 37(1): 9-20.
Lu Zongxiang, Li Haibo, Qiao Ying.Flexibility evaluation and supply/demand balance principle of power system with high- penetration renewable electricity[J]. Proceedings of the CSEE, 2017, 37(1): 9-20.
[4] 舒印彪, 张智刚, 郭剑波, 等. 新能源消纳关键因素分析及解决措施研究[J]. 中国电机工程学报, 2017, 37(1): 1-9.
Shu Yinbiao, Zhang Zhigang, Guo Jianbo, et al.Study on key factors and solution of renewable energy accommodation[J]. Proceedings of the CSEE, 2017, 37(1): 1-9.
[5] 林俐, 邹兰青, 周鹏, 等. 规模风电并网条件下火电机组深度调峰的多角度经济性分析[J]. 电力系统自动化, 2017, 41(7): 21-27.
Lin Li, Zou Lanqing, Zhou Peng, et al.Multi-angle economic analysis on deep peak regulation of thermal power units with large-scale wind power integration[J]. Automation of Electric Power Systems, 2017, 41(7): 21-27.
[6] 林俐, 田欣雨. 基于火电机组分级深度调峰的电力系统经济调度及效益分析[J]. 电网技术, 2017, 41(7): 2255-2263.
Lin Li, Tian Xinyu.Analysis of deep peak regulation and its benefit of thermal units in power system with large scale wind power integrated[J]. Power System Technology, 2017, 41(7): 2255-2263.
[7] 姜欣, 郑雪媛, 胡国宝, 等. 市场机制下面向电网的储能系统优化配置[J]. 电工技术学报, 2019, 34(21): 4601-4610.
Jiang Xin, Zheng Xueyuan, Hu Guobao, et al.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.
[8] 李建林, 牛萌, 周喜超, 等. 能源互联网中微能源系统储能容量规划及投资效益分析[J]. 电工技术学报, 2020, 35(4): 874-884.
Li Jianlin, Niu Meng, Zhou Xichao, et al.Energy storage capacity planning and investment benefit analysis of micro-energy system in energy interconnection[J]. Transactions of China Electrotechnical Society, 2020, 35(4): 874-884.
[9] 沈冠冶, 李琛, 徐冰亮, 等. 考虑风电并网系统的储能优化配置[J]. 东北电力大学学报, 2018, 38(4): 27-34.
Shen Guanye, Li Chen, Xu Bingliang, et al.Economic allocation for energy storage system considering wind power[J]. Journal of Northeast Electric Power University, 2018, 38(4): 27-34.
[10] 李相俊, 王上行, 惠东. 电池储能系统运行控制与应用方法综述及展望[J]. 电网技术, 2017, 41(10): 3315-3325.
Li Xiangjun, Wang Shangxing, Hui Dong.Summary and prospect of operation control and application method for battery energy storage systems[J]. Power System Technology, 2017, 41(10): 3315-3325.
[11] 李建林, 修晓青, 吕项羽, 等. 储能系统容量优化配置及全寿命周期经济性评估研究综述[J]. 电源学报, 2018, 16(4): 1-13.
Li Jianlin, Xiu Xiaoqing, Lü Xiangyu, et al.Review on capacity optimization configuration and life cycle economic evaluation method for energy storage system[J]. Journal of Power Supply, 2018, 16(4): 1-13.
[12] 陈伟, 刘成, 储欣, 等. 基于遗传-梯度法的配电网储能最优配置方法的研究[J]. 电工技术, 2019(18): 100-102, 106.
Chen Wei, Liu Cheng, Chu Xin, et al.Research on optimal allocation method for energy storage in distribution-network based on genetic-gradient method[J]. Electric Engineering, 2019(18): 100-102, 106.
[13] 贾云辉, 张峰. 考虑分布式风电接入下的区域综合能源系统多元储能双层优化配置研究[J]. 可再生能源, 2019, 37(10): 1524-1532.
Jia Yunhui, Zhang Feng.A bi-level optimal configuration of multiple storage in reginal integrated energy system with distribution wind power inclusion[J]. Renewable Energy Resources, 2019, 37(10): 1524-1532.
[14] 麻秀范, 陈静, 余思雨, 等. 计及容量市场的用户侧储能优化配置研究[J]. 电工技术学报, 2020, 35(19): 4028-4037.
Ma Xiufan, Chen Jing, Yu Siyu, et al.Research on user side energy storage optimization configuration considering capacity market[J]. Transactions of China Electrotechnical Society, 2020, 35(19): 4028-4037.
[15] 许周, 孙永辉, 谢东亮, 等. 计及电/热柔性负荷的区域综合能源系统储能优化配置[J]. 电力系统自动化, 2020, 44(2): 53-59.
Xu Zhou, Sun Yonghui, Xie Dongliang, et al.Optimal configuration of energy storage for integrated region energy system considering electric/thermal flexible load[J]. Automation of Electric Power Systems, 2020, 44(2): 53-59.
[16] 罗仕华, 胡维昊, 黄琦, 等. 市场机制下光伏/小水电/抽水蓄能电站系统容量优化配置[J]. 电工技术学报, 2020, 35(13): 2792-2804.
Luo Shihua, Hu Weihao, Huang Qi, et al.Optimization of Photovoltaic/ small hydropower/ pumped storage power station system sizing under the market mechanism[J]. Transactions of China Electrotechnical Society, 2020, 35(13): 2792-2804.
[17] 蔡霁霖, 徐青山, 袁晓冬, 等. 基于风电消纳时序场景的电池储能系统配置策略[J]. 高电压技术, 2019, 45(3): 993-1001.
Cai Jilin, Xu Qingshan, Yuan Xiaodong, et al.Configuration strategy of large-scale battery storage system orienting wind power consumption based on temporal scenarios[J]. High Voltage Engineering, 2019, 45(3): 993-1001.
[18] 尤毅, 刘东, 钟清, 等. 主动配电网储能系统的多目标优化配置[J]. 电力系统自动化, 2014, 38(18): 46-52.
You Yi, Liu Dong, Zhong Qing, et al.Multi-objective optimal placement of energy storage systems in an active distribution network[J]. Automation of Electric Power Systems, 2014, 38(18): 46-52.
[19] 赵乙潼, 王慧芳, 何奔腾, 等. 面向用户侧的电池储能配置与运行优化策略[J]. 电力系统自动化, 2020, 44(6): 121-128.
Zhao Yitong, Wang Huifang, He Benteng, et al.Optimization strategy of configuration and operation for user-side battery energy storage[J]. Automation of Electric Power Systems, 2020, 44(6): 121-128.
[20] 黎静华, 汪赛. 兼顾技术性和经济性的储能辅助调峰组合方案优化[J]. 电力系统自动化, 2017, 41(9): 44-50.
Li Jinghua, Wang Sai.Optimal combined peak -shaving scheme using energy storage for auxiliary considering both technology and economy[J]. Automation of Electric Power Systems, 2017, 41(9): 44-50.
[21] 徐国栋, 程浩忠, 方斯顿, 等. 用于提高风电场运行效益的电池储能配置优化模型[J]. 电力系统自动化, 2016, 40(5): 62-70.
Xu Guodong, Cheng Haozhong, Fang Sidun, et al.An optimization model of battery energy storage system configuration to improve benefits of wind farms[J]. Automation of Electric Power Systems, 2016, 40(5): 62-70.
[22] 陆立民, 褚国伟, 张涛, 等. 基于改进多目标粒子群算法的微电网储能优化配置[J]. 电力系统保护与控制, 2020, 48(15): 116-124.
Lu Limin, Chu Guowei, Zhang Tao, et al.Optimal configuration of microgrid energy storage based on improved multi-objective particle swarm algorithm[J]. Power System Protection and Control, 2020, 48(15): 116-124.
[23] 郑恩泽, 顾洁, 刘波, 等. 基于双层优化模型的多能互补微网储能优化配置[J]. 电气自动化, 2017, 39(3): 45-48.
Zheng Enze, Gu Jie, Liu Bo, et al.Optimal configuration of multi-energy complementary microgrid energy storage based on two-layer optimization model[J]. Electrical Automation, 2017, 39(3): 45-48.
[24] 王良缘, 江岳文, 王杰. 考虑参与多市场交易的电网侧储能优化配置[J]. 电网与清洁能源, 2020, 36(11): 30-38.
Wang Liangyuan, Jiang Yuewen, Wang Jie.Optimal configuration of grid-side energy storage considering participation in multi-market transactions[J]. Power Grid and Clean Energy, 2020, 36(11): 30-38.
[25] 何俊强, 师长立, 马明, 等. 基于元模型优化算法的混合储能系统双层优化配置方法[J]. 电力自动化设备, 2020, 40(7): 157-167.
He Junqiang, Shi Changli, Ma Ming, et al.Two-tier optimal configuration method for hybrid energy storage system based on meta-model optimization algorithm[J]. Electric Power Automation Equipment, 2020, 40(7): 157-167.
[26] 孙冰莹, 杨水丽, 刘宗歧, 等. 辅助单台火电机组AGC的电池储能系统双层优化配置方法[J]. 电力系统自动化, 2019, 43(8): 69-76, 157.
Sun Bingying, Yang Shuili, Liu Zongqi, et al.Double-layer optimization configuration method of battery energy storage system assisting single thermal power unit AGC[J]. Automation of Electric Power Systems, 2019, 43(8): 69-76, 157.
[27] Xia Yuanxing, Xu Qingshan, Qian Haiya, et al.Bilevel optimal configuration of generalized energy storage considering power consumption right transaction[J/OL]. International Journal of Electrical Power & Energy Systems, 2021, DOI: 10.1016/j.ijepes.2020.106750.
[28] Dong Houqi, Wang Liying, Wei Xuan, et al.Capacity planning and pricing design of charging station considering the uncertainty of user behavior[J]. International Journal of Electrical Power & Energy Systems, 2021, 125(3): 106521.
[29] 李建林, 马会萌, 田春光, 等. 基于区间层次分析法的电化学储能选型方案[J]. 高电压技术, 2016, 42(9): 2707-2714.
Li Jianlin, Ma Huimeng, Tian Chunguang, et al.Selection scheme of electrochemical energy storage based on interval analytic hierarchy process method[J]. High Voltage Engineering, 2016, 42(9): 2707-2714.
[30] 邹兰青. 规模风电并网条件下火电机组深度调峰多角度经济性分析[D]. 北京: 华北电力大学, 2017.
[31] 由浩宇. 大连液流电池储能调峰电站总平面布置[J]. 吉林电力, 2018, 46(2): 29-31.
You Haoyu.General layout of Dalian redox flow cell energy storage & peak shaving power station[J]. Jilin Electric Power, 2018, 46(2): 29-31.