基于灵活性提升的电力系统储能装置定容方法

doi:10.16182/j.issn1004731x.joss.201801030

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (1): 235-241.doi: 10.16182/j.issn1004731x.joss.201801030

基于灵活性提升的电力系统储能装置定容方法

孙伟卿¹, 李臻¹, 谈一鸣¹, 吕风磊², 邱文平³, 李宏仲⁴

1.上海理工大学光电信息与计算机工程学院,上海 200093;
2.国网山东省电力公司东营供电公司,山东东营 257000;
3.国网福建省电力有限公司南平供电公司,福建南平 353000;
4.上海电力学院电气工程学院,上海 200090

收稿日期:2015-11-19 发布日期:2019-01-02
作者简介:孙伟卿(1985-), 男, 上海, 博士, 副教授,研究方向为电力系统优化; 李臻(1991-), 男, 山东, 硕士, 研究方向为电力系统安全分析; 谈一鸣(1993-), 男, 上海, 硕士, 研究方向为电力系统优化。
基金资助:
国家自然科学基金(51407117, 51777126)

Method of Power System Energy Storage Configuration Based on Flexibility Promotion

Sun Weiqing¹, Li Zhen¹, Tan Yiming¹, Lü Fenglei², Qiu Wenping³, Li Hongzhong⁴

1.School of Optical-Electrical and Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China;
2.Dongying Power Supply Company, State Grid Shandong Electric Power Company, Dongying 257000, China;
3.Nanping Power Supply Company, State Grid Fujian Electric Power Company, Nanping 353000, China;
4.School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Received:2015-11-19 Published:2019-01-02

摘要/Abstract

摘要： 为更好地解决可再生能源并网问题,针对系统应对短时不确定性的响应能力,定义电力系统灵活性及其评估指标,并基于此提出一种储能优化配置方法。分析电源侧的不确定性,定义电力系统灵活性,针对可再生能源出力不确定性,定义电源灵活性评估指标。从选址和定容的角度,阐述储能配置的原理和方法,并基于电源灵活性评价,综合考虑系统灵活性需求和新建储能成本,建立储能配置模型并求解。以IEEE-118节点测试系统验证方法的有效性。

关键词: 可再生能源, 不确定性, 灵活性提升, 储能配置

Abstract: To solve the problem of renewable energy access and aiming at system’s response capability to short-term uncertainty, power system flexibility and its evaluation index are defined. A method of energy storage configuration based on flexibility evaluation is proposed. The uncertainty from power supply is analyzed. Aiming at the uncertainty of renewable energy, a source flexibility evaluation index is defined. The principle and method of energy storage configuration are presented from the aspect of siting and sizing. The energy storage configuration model is created and solved considering both the system flexibility requirements and energy storage costs based on the evaluation of power flexibility. Finally, case study on IEEE 118-bus test system shows that the proposed method is effective.

Key words: renewable energy, uncertainty, flexibility promotion, energy storage configuration

中图分类号:

TM743

孙伟卿, 李臻, 谈一鸣, 吕风磊, 邱文平, 李宏仲. 基于灵活性提升的电力系统储能装置定容方法[J]. 系统仿真学报, 2018, 30(1): 235-241.

Sun Weiqing, Li Zhen, Tan Yiming, Lü Fenglei, Qiu Wenping, Li Hongzhong. Method of Power System Energy Storage Configuration Based on Flexibility Promotion[J]. Journal of System Simulation, 2018, 30(1): 235-241.

参考文献

[1] 张昭遂, 孙元章, 李国杰, 等. 计及风电功率不确定性的经济调度问题求解方法[J]. 电力系统自动化, 2011, 35(22): 125-130.Zhang Z S, Sun Y Z, Li G J, et al. A solution of economic dispatch problem considering wind power uncertainty[J]. Automation of Electric Power Systems, 2011, 35(22): 125-130.
[2] 薛禹胜, 雷兴, 薛峰, 等. 关于风电不确定性对电力系统影响的评述[J]. 中国电机工程学报, 2014, 34(29): 5029-5040. Xue Y S, Lei X, Xue F, et al. A Review on Impacts of Wind Power Uncertainties on Power Systems[J]. Proceedings of the Csee, 2014, 34(29): 5029-5040.
[3] 严干贵, 冯晓东, 李军徽, 等. 用于松弛调峰瓶颈的储能系统容量配置方法[J]. 中国电机工程学报, 2012, 32(28): 27-35. Yan G G, Feng X D, Li J H, et al. Optimization of Energy Storage System Capacity for Relaxing Peak Load Regulation Bottlenecks[J]. Proceedings of the CSEE, 2012, 32(28): 27-35.
[4] 张丽英, 叶廷路, 辛耀中, 等. 大规模风电接入电网的相关问题及措施[J]. 中国电机工程学报, 2010, 30(25): 1-9. Zhang L Y, Ye T L, Xin Y Z, et al. Problems and measures of power grid accommodating large scale wind power[J]. Proceedings of the CSEE, 2010, 30(25): 1-9.
[5] 迟永宁, 刘燕华, 王伟胜, 等. 风电接入对电力系统的影响[J]. 电网技术, 2007, 31(3): 77-81. Chi Y N, Liu Y H, Wang W S, et al. Study on Impact of Wind Power Integration on Power System[J]. Power System Technology, 2007, 31(3): 77-81.
[6] Bouffard F, Ortega-Vazquez M.The value of operational flexibility in power systems with significant wind power generation[C]//Proceedings of the Power and Energy Society General Meeting. San Diego California, USA: IEEE, 2011: 24-29.
[7] UlBig A, Andersson G. On operational flexibility in power systems[C]// Proceedings of the Power and Energy Society General Meeting. San Diego California, USA: IEEE, 2012: 22-26.
[8] 沈枢, 张沛超, 李中豪, 等. 平抑长短期风电功率波动的风储协调运行方法[J]. 电力系统自动化, 2015, 39(8): 12-18. Shen S, Zhang P C, Li Zhonghao, et al. A Coordination Operation Method of Wind Power and Energy Storage Hybrid System for Smoothing Short-term and Long-term Wind Power Fluctuations[J]. Automation of Electric Power Systems, 2015, 39(8):12-18.
[9] 肖白, 丛晶, 高晓峰, 等. 风电-抽水蓄能联合系统综合效益评价方法[J]. 电网技术, 2014, 38(2): 400-404. Xiao B, Cong J, Gao X F, et al. A method to evaluate comprehensive benefits of hybrid wind power-pumped storage system[J]. Power System Technology, 2014, 38(2): 400-404.
[10] 王承民, 孙伟卿, 衣涛, 等. 智能电网中储能技术应用规划及其效益评估方法综述[J]. 中国电机工程学报, 2013, 33(7): 33-41. Wang C M, Sun W Q, Yi Tao, et al. Review on Energy Storage Application Planning and Benefit Evaluation Methods in Smart Grid[J]. Proceedings of the CSEE, 2013, 33(7): 33-41.
[11] 张文亮, 丘明, 来小康. 储能技术在电力系统中的应用[J]. 电网技术, 2008, 32(7): 1-9. Zhang W L, Ming Q, Lai X K. Application of Energy Storage Technologies in Power Grids[J]. Power System Technology, 2008, 32(7): 1-9.
[12] Masaud T M, Keun L, Sen P K.An overview of energy storage technologies in electric power systems: what is the future[C]// proceedings of the North American Power Symposium (NAPS). Arlington, Texas, USA: IEEE, 2010: 26-28.
[13] Bludszuweit H, Dominguez-Navarro J A. A probabilistic method for energy storage sizing based on wind power forecast uncertainty[J]. IEEE Trans. on Power Systems (S0885-8950), 2011, 26(3): 1651-1658.
[14] Opathella C, Venkatesh B.Managing uncertainty of wind energy with wind generators cooperative[J]. IEEE Trans. on Power Systems (S0885-8950), 2013, 28(3): 2918-2928.
[15] 江知瀚, 陈金富. 计及不确定性和多投资主体需求指标的分布式电源优化配置方法研究[J]. 中国电机工程学报, 2013, 33(31): 34-42. Jiang Z H, Chen J F. Optimal Distributed Generator Allocation Method Considering Uncertainties and Requirements of Different Investment Entities[J]. Proceedings of the Csee, 2013, 33(31): 34-42.
[16] 肖定垚, 王承民, 曾平良, 等. 电力系统灵活性及其评价综述[J]. 电网技术, 2014, 38(3): 1569-1576. Xiao D Y, Wang C M, Zeng P L, et al. A Survey on Power System Flexibility and Its Evaluations[J]. Power System Technology, 2014, 38(3): 1569-1576.
[17] GB/T 19963-2011, 风电场接入电力系统技术规定[S].
[18] Zimmerman R D, Murillo-Sanchez C E, Gan D Q. MATPOWER [EB/OL]. [2016-03-16]. http://www.pserc. cornell.edu/matpower/

基于灵活性提升的电力系统储能装置定容方法

Method of Power System Energy Storage Configuration Based on Flexibility Promotion

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