Research on Capacity Optimization of Pumped-Storage Power Station with Wind Farm

doi:10.11930/j.issn.1004-9649.201612076

Abstract

Abstract: Pump-storage capacity optimization is very important to improve wind farm operation economics. According to wind farm characteristics, an operation strategy of wind power-pumped storage system is proposed to reduce effect of wind fluctuations and randomness on system stability. A model is proposed to calculate reference value of wind farm output power, which is used by dispatcher to formulate generation plans. A stochastic optimization model for determining pumped-storage capacity is presented, which aims to minimize total cost of wind farm operation and pumped-storage installation and maintenance. The model is solved by chaotic particle swarm optimization algorithm. Analysis of examples show the effectiveness of proposed scheduling strategy.

Key words: wind farm, pumped-storage power station, capacity optimization, stochastic programming, chaotic particle swarm optimization algorithm

CLC Number:

TM715

YI Chen, REN Jianwen, YU Jia. Research on Capacity Optimization of Pumped-Storage Power Station with Wind Farm[J]. Electric Power, 2018, 51(2): 99-104,124.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201612076

https://www.electricpower.com.cn/EN/Y2018/V51/I2/99

References

[1] 裴哲义,范高锋. 中国风电运行消纳相关问题研究[J]. 中国电力,2014,47(4):1-4.
PEI Zheyi, FAN Gaofeng. Research on wind power operation and accommodation problems in China [J]. Electric Power, 2014, 47(4): 1-4.
[2] 谢国辉,李琼慧. 全球能源互联网技术创新重点领域及关键技术[J]. 中国电力,2016,49(3):18-23.
XIE Guohui, LI Qionghui. Important fields and key technologies of innovation for global energy interconnection [J]. Electric Power, 2016, 49(3): 18-23.
[3] 韩勇,郑翔宇,彭生江,等. 大规模风电集中接入的电力系统储能容量配置策略[J]. 中国电力,2015,48(6):26-31.
HAN Yong, ZHENG Xiangyu, PENG Shengjiang, et al. Configuration of energy storage in power system with wind power integration [J]. Electric Power, 2015, 48(6): 26-31.
[4] 李强,袁越,李振杰,等. 考虑峰谷电价的风电-抽水蓄能联合系统能量转化效益研究[J]. 电网技术,2009,33(6):13-18.
LI Qiang, YUAN Yue, LI Zhenjie, et al. Research on energy shifting benefits of hybrid wind power and pumped hydro storage system considering peak-valley electricity price[J]. Power System Technology, 2009, 33(6): 13-18.
[5] 胡泽春,丁华杰,孔涛. 风电-抽水蓄能联合日运行优化调度模型[J]. 电力系统自动化,2012,36(2):36-41,57.
HU Zechun, DING Huajie, KONG Tao. A joint daily operational optimization model for wind power and pumped-storage plant[J]. Automation of Electric Power Systems, 2012, 36(2): 36-41, 57.
[6] 张鹏,刘继春,吕林,等. 基于风蓄协调的节能调度方法[J]. 电力系统保护与控制,2011,39(2):29-34.
ZHANG Peng, LIU Jichun, LV Lin, et al. The energy-saving dispatch based on the coordination between pumped storage hydro and wind energy[J]. Power System Protection and Control,2011, 39(2): 29-34.
[7] JAVIER G G, ROCIO M R M, LUZ M S, et al. Stochastic joint optimization of wind generation and pumped-storage units in an electricity market [J]. IEEE Trans on Power Systems, 2008, 23(2): 460-468.
[8] 潘文霞,范永威,朱莉,等. 风电场中抽水蓄能系统容量的优化选择[J]. 电工技术学报,2008,23(3):120-124.
PAN Wenxia, FAN Yongwei, ZHU Li, et al. The optimal sizing for pumped storage system in wind farm [J]. Transactions of China Electrotechnical Society, 2008, 23(3): 120-124.
[9] 王睿,张粒子,张丽娟,等. 含风电场系统风电与抽水蓄能匹配容量研究[J]. 太阳能学报,2012,33(6):1038-1043.
WANG Rui, ZHANG Lizi, ZHANG Lijuan, et al. Research on optimal capacity between wind power and pumped-storage power station [J]. Acta Energiae Solaris Sinica, 2012, 33(6): 1038-1043.
[10] KARKI R, THAPA S, BILLINTON R. A simplified risk-based method for short-term wind power commitment[J]. IEEE Transactions on Sustainable Energy, 2012, 3(3): 498-505.
[11] ZUGNO M, PINSON P, MADSEN H. Impact of wind power generation on european cross-border power flows[J]. IEEE Transactions on Power Systems, 2013, 28(4): 3566-3575.
[12] JIANG Q, HONG H. Wavelet-based capacity configuration and coordinated control of hybrid energy storage system for smoothing out wind power fluctuations[J]. IEEE Transactions on Power Systems, 2013, 28(2): 1363-1372.
[13] ISLAM F, AL-DURRA A, MUYEEN S M. Smoothing of wind farm output by prediction and supervisory-control-unit-based FESS[J]. IEEE Transactions on Sustainable Energy, 2013, 4(4): 925-933.
[14] BUENO C, CARTA J A. Technical-economic analysis of wind- powered pumped hydrostorage systems. Part I: model development[J]. Solar Energy, 2005, 78(3): 382-395.
[15] 汪宁渤. 大规模风电送出与消纳[M]. 北京：中国电力出版社,2012:16-36.
[16] 邱威,张建华,刘念. 含大型风电场的环境经济调度模型与解法[J]. 中国电机工程学报,2011,31(19):8-16.
QIU Wei, ZHANG Jianhua, LIU Nian. Model and solution for environmental economic dispatch considering large-scale wind power penetration [J]. Proceedings of the CSEE, 2011, 31(19): 8-16.
[17] 刘宝碇,赵瑞清. 随机规划与模糊规划[M]. 北京：清华大学出版社,2004:74-94.
[18] 李惕先,季云,刘启钊. 抽水蓄能电站[M]. 北京：水利电力出版社,1995:29-31.
[19] 王凌,刘波. 微粒群优化与调度算法[M]. 北京：清华大学出版社,2008:36-39.
[20] 于佳,任建文,周明. 基于机会约束规划的风-蓄联合动态经济调度微粒群优化与调度算法[J]. 电网技术,2013,37(8):2116-2122.
YU Jia, REN Jianwen, ZHOU Ming. A chance-constrained programming based dynamic economic dispatch of wind farm and pumped-storage power station[J]. Power System Technology, 2013, 37(8): 2116-2122.