基于储能SOC优化控制的风储电站实时跟踪发电计划控制策略

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摘要随着风力发电的快速发展,提高风力发电的可调度性受到了越来越多的关注。针对目前跟踪发电计划控制策略存在的问题,研究基于储能SOC优化控制的风储电站实时跟踪发电计划控制策略,提出保证在误差允许范围内实时跟踪发电计划的前提下,以降低储能系统电量波动范围和放电深度为控制目标、采用实时滚动优化方法的控制策略,建立了储能SOC优化控制模型,并采用基于动态规划的优化算法进行求解。最后以北方某风光储输联合发电示范工程中的实测数据为例编程仿真,并与普通控制策略对比分析,验证了本文方法的可行性与有效性。

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	罗煜
	黄梅
	鲍谚
	张维戈
	严乙桉

关键词 ：风力发电, 实时跟踪发电计划, 电池储能系统, 储能SOC优化控制

Abstract：With the rapid development of wind power generation, improving the dispatch ability of wind power generation has received more and more attention. Aiming at the problems existing in the present strategy of tracking generation schedule, the real-time control strategy of tracking generation schedule for wind power and battery energy storage combined system based on state of charge (SOC) optimal control for battery energy storage was studied at first. The control target of reducing the energy fluctuation and depth-of-discharge of energy storage system under the premise of tracking generation schedule within the allowed range of error was then proposed. In the control strategy, the real-time rolling optimization was adopted, and the SOC optimal control model for energy storage is developed. The solution of this optimization problem was realized based on dynamic programming optimization algorithm. Finally, the measured data of a combined power generation demonstration project in the north of China are used to take as an example, and the simulation results of this example were compared with those of the general control strategy. The feasibility and validity of the proposed method were verified.

Key words： Wind power generation, tracking wind power schedule output in real time, battery energy storage system, SOC optimal control for energy storage

出版日期: 2017-01-04

PACS:

TM614

作者简介: 罗煜男,1992年生,硕士研究生,研究方向为新能源及新型发电技术等。E-mail: 15121450@bjtu.edu.cn（通信作者）黄梅女,1959年生,教授,硕士生导师,从事风力发电系统建模及接入系统分析、电动汽车充电机（站）电力系统建模及应用、继电保护的教学与科研工作等。E-mail: mhuang@bjtu.edu.cn

引用本文:

罗煜, 黄梅, 鲍谚, 张维戈, 严乙桉. 基于储能SOC优化控制的风储电站实时跟踪发电计划控制策略[J]. 电工技术学报, 2016, 31(增刊): 214-220. Luo Yu, Huang Mei, Bao Yan, Zhang Weige, Yan Yian. Tracking Power Generation Real-Time Schedule Strategy for Wind Power and Battery Energy Storage Combined System Based on SOC Optimal Control of Battery Energy Storage. Transactions of China Electrotechnical Society, 2016, 31(增刊): 214-220.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2016/V31/I增刊/214

[1] 何世恩, 董新洲. 大规模风电机组脱网原因分析及对策[J]. 电力系统保护与控制, 2012, 40(1): 131-137, 144. He Shien, Dong Xinzhou. Cause analysis on large- scale wind turbine tripping and its countermeasures[J]. Power System Protection and Control, 2012, 40(1): 131-137, 144.
[2] 蒋程, 刘文霞, 张建华, 等. 含风电接入的发输电系统风险评估[J]. 电工技术学报, 2014, 29(2): 260-270. Jiang Cheng, Liu Wenxia, Zhang Jianhua, et al. Risk assessment of generation and transmission systems considering wind power penetration[J]. Transactions of China Electrotechnical Society, 2014, 29(2): 260- 270.
[3] 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 Yusheng, Lei Xing, Xue Feng, et al. A review on impacts of wind power uncertainties on power systems [J]. Proceedings of the CSEE, 2014, 34(29): 5029-5040.
[4] 戚永志, 刘玉田. 风光储联合系统输出功率滚动优化与实时控制[J]. 电工技术学报, 2014, 29(8): 265-273. Qi Yongzhi, Liu Yutian. Output power rolling optimiza- tion and real-time control in wind-photovoltaic-storage hybrid system[J]. Transactions of China Electrotechnical Society, 2014, 29(8): 265-273.
[5] 施琳, 罗毅, 涂光瑜, 等. 考虑风电场可调度性的储能容量配置方法[J]. 电工技术学报, 2013, 28(5): 120-127, 134. Shi Lin, Luo Yi, Tu Guangyu, et al. Energy storage sizing method considering dispatchability of wind farm[J]. Transactions of China Electrotechnical Society, 2013, 28(5): 120-127, 134.
[6] 袁小明, 程时杰, 文劲宇. 储能技术在解决大规模风电并网问题中的应用前景分析[J]. 电力系统自动化, 2013, 37(1): 14-18. Yuan Xiaoming, Cheng Shijie, Wen Jinyu. Prospects analysis of energy storage application in grid integration of large-scale wind power[J]. Automation of Electric Power Systems, 2013, 37(1): 14-18.
[7] 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 lifetime predication for improving the schedulability of wind power[J]. Transactions of China Electrotechnical Society, 2015, 30(15): 53-59.
[8] 李蓓, 郭剑波. 平抑风电功率的电池储能系统控制策略[J]. 电网技术, 2012, 36(8): 38-43. Li Bei, Guo Jianbo. A control strategy for battery energy storage system to level wind power output[J]. Power System Technology, 2012, 36(8): 38-43.
[9] 靳文涛, 李建林. 电池储能系统用于风电功率部分“削峰填谷”控制及容量配置[J]. 中国电力, 2013, 46(8): 16-21. Jin Wentao, Li Jianlin. BESS for wind power “peak shaving” control and capacity configuration[J]. Electric Power, 2013, 46(8): 16-21.
[10] 高明杰, 惠东, 高宗和, 等. 国家风光储输示范工程介绍及其典型运行模式分析[J]. 电力系统自动化, 2013, 37(1): 59-64. Gao Mingjie, Hui Dong, Gao Zonghe, et al. Presenta- tion of national wind/photovolatic/energy storage and transmission demonstration project and analysis of typical operation modes[J]. Automation of Electric Power Systems, 2013, 37(1): 59-64.
[11] 刘艳芬, 白恺, 张彩萍, 等. 风储电站实时跟踪发电计划控制策略研究[J]. 可再生能源, 2015, 33(3): 363-368. Liu Yanfen, Bai Kai, Zhang Caiping, et al. Research on tracking power generation schedule strategy of wind power and battery energy storage combined system in real-time[J]. Renewable Energy Resources, 2015, 33(3): 363-368.
[12] 闫鹤鸣, 李相俊, 麻秀范, 等. 基于超短期风电预测功率的储能系统跟踪风电计划出力控制方法[J]. 电网技术, 2015, 39(2): 432-439. Yan Heming, Li Xiangjun, Ma Xiufan, et al. Wind power output schedule tracking control method of energy storage system based on ultra-short term wind power prediction[J]. Power System Technology, 2015, 39(2): 432-439.
[13] 靳文涛, 李蓓, 谢志佳. 电池储能系统在跟踪风电计划出力中的需求分析[J]. 储能科学与技术, 2013, 2(3): 294-299. Jin Wentao, Li Bei, Xie Zhijia. An analysis for the need of a battery energy storage system in tracking wind power schedule output[J]. Energy Storage Science and Technology, 2013, 2(3): 294-299.
[14] Wei C, Zheng L, Xu C. Variable charge/discharge time-interval control strategy of BESS for wind power dispatch[J]. Turkish Journal of Electrical Engineering & Computer Sciences, 2015, 23(6): 1645-1659.
[15] 娄素华, 吴耀武, 崔艳昭, 等. 电池储能平抑短期风电功率波动运行策略[J]. 电力系统自动化, 2014, 38(2): 17-22, 58. Lou Suhua, Wu Yaowu, Cui Yanzhao, et al. Operation strategy of battery energy storage system for smoothing short-term wind power fluctuation[J]. Automation of Electric Power Systems, 2014, 38(2): 17-22, 58.
[16] 袁铁江, 陈洁, 刘沛汉, 等. 储能系统改善大规模风电场出力波动的策略[J]. 电力系统保护与控制, 2014, 42(4): 47-53. Yuan Tiejiang, Chen Jie, Liu Peihan, et al. Strategy of improving large-scale wind farm output fluctuation based on energy storage system[J]. Power System Protection and Control, 2014, 42(4): 47-53.
[17] 马速良, 蒋小平, 马会萌, 等. 平抑风电波动的混合储能系统的容量配置[J]. 电力系统保护与控制, 2014, 42(8): 108-114. Ma Suliang, Jiang Xiaoping, Ma Huimeng, et al. Capacity configuration of the hybrid energy system for wind power smoothing[J]. Power System Protection and Control, 2014, 42(8): 108-114.
[18] 张川, 杨雷, 牛童阳, 等. 平抑风电出力波动储能技术比较及分析[J]. 电力系统保护与控制, 2015, 43(7): 149-154. Zhang Chuan, Yang Lei, Niu Tongyang, et al. Comparison and analysis of energy storage technology to balance fluctuation of wind power output[J]. Power System Protection and Control, 2015, 43(7): 149-154.
[19] Li X, Hui D, Lai X. Battery energy storage station (BESS) based smoothing control of photovoltaic (PV) and wind power generation fluctuations[J]. IEEE Transactions on Sustainable Energy, 2013, 4(2): 464- 473.
[20] Jiang Q, Wang H. Two-time-scale coordination control for a battery energy storage system to mitigate wind power fluctuations[J]. IEEE Transactions on Energy Conversion, 2013, 28(1): 52-61.
[21] 华北电监局. 华北区域并网发电厂辅助服务管理及发电厂并网运行管理实施细则（华北电监市场[2008]112号）[Z].2008.