基于鲁棒优化的网架重构机组恢复顺序优化

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Abstract Current power systems mainly consist of thermal units, the length of units’ recovery time after blackout determines the effect of network reconfiguration significantly. In response to this problem, aiming at the possible delay when units prepare to start and start up. In this paper, the robust optimization model for units’ restoration sequence is set up which considers uncertain units start time, and treat insufficient electricity as optimization goal during minimum reconfiguration period. Then, crossover particle swarm algorithm and CPLEX optimization solution are combined to solve this model. Based on this, a units’ recovery sequence which can quantitative characterization effort of recovery and operation reliability can be received. Providing the reference for dispatcher to cope with the worst possible restore hysteretic scene. Further, for the proposed units’ recovery sequence given by dispatcher, they can get the probability of successful implementation estimated by operating experience and obtained the key steps by CPLEX to ensure recovery effect. The outcome of its application on the New England 10-unit 39-bus power system and a region grid indicate the validity of the method proposed.

Key words： Network reconfiguration unit recovery uncertain time of thermal units startup robust optimization

Received: 06 July 2016 Published: 20 June 2017

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TM732

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	Jiao Jie
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Cite this article:

Jiao Jie,Liu Yan. Optimization of Units’ Restoration Sequence during Network Reconfiguration Process Based on Robust Optimization[J]. Transactions of China Electrotechnical Society, 2017, 32(11): 77-86.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I11/77

[1] Fink L H, Lion K L,Liu C C.From generic restoration to specific restoration strategies[J].IEEE Transactions on Power Systems,1995,10(2):745-752.
[2] Ancona J J.A framework for power system restoration following a major power failure[J].IEEE Transactions on Power Systems,1995,10(3):1480-1485.
[3] 代文章.电力系统的安全性及防治措施[J].电气技术,2011(12):85-89.
Dai Wenzhang.Power system security and its prevention[J].Electrical Technology,2011(12):85-89.
[4] 李振坤,周伟杰,钱啸,等.有源配电网孤岛恢复供电及黑启动策略研究[J].电工技术学报,2015,30(21):67-75.
Li Zhenkun,Zhou Weijie,Qian Xiao,et al.Distribution network restoration and black start based on distributed generators[J].Transactions of China Electrotechnical Society,2015,30(21):67-75.
[5] 顾雪平,王大江,梁海平,等.电力系统扩展黑启动方案动态综合评估[J].电工技术学报,2015,30(3):44-52.
Gu Xueping,Wang Dajiang,Liang Haiping,et al.Dynamic comprehensive assessment of power system extended black-start plans[J].Transactions of China Electrotechnical Society,2015,30(3):44-52.
[6] 顾雪平,王大江,李少岩,等.电力系统扩展黑启动方案的后效性研究[J].电工技术学报,2015,30(8):238-246.
Gu Xueping,Wang Dajiang,Li Shaoyan,et al.Investigation on aftereffect of power system extended black-start schemes[J].Transactions of China Electrotechnical Society,2015,30(8):238-246.
[7] 董张卓,焦建林,孙启宏.用层次分析法安排电力系统事故后火电机组恢复的次序[J].电网技术,1997,21(6):48-51.
Dong Zhangzhuo,Jiao Jianlin,Sun Qihong.Arrangement of priority sequence of thermal unit restoration on analytical Hierarchy process model[J].Power System Technology,1997,21(6):48-51.
[8] 刘强,石立宝,周明,等.电力系统恢复中机组恢复的优化选择方法[J].电工技术学报,2009,24(3):164-170.
Liu Qiang,Shi Libao,Zhou Ming,et al.Optimal strategy for units start-up during power system restoration[J].Transactions of China Electrotechnical Society,2009,24(3):164-170.
[9] Sun Wei,Liu C C,Zhang Li.Optimal generator start-up strategy for bulk power system restoration[J].IEEE Transactions on Power Systems,2011,26(3):1357-1366.
[10] 曾顺奇,文福栓,薛禹胜,等.计及操作时间不确定性的电力系统网架重构策略优化[J].电力系统自动化,2011,35(23):16-21.
Zeng Shunqi,Wen Fushuan,Xue Yusheng,et al. Optimization of network reconfiguration strategy for power systems considering operating time uncertainty[J].Automation of Electric Power Systems,2011,35(23):16-21.
[11] 孙磊,刘伟佳,林振智,等.计及线路投运风险的电力系统恢复路径优化[J].电力系统自动化,2015,39(23):68-83.
Sun Lei,Liu Weijia,Lin Zhenzhi,et al.Determination of optimal restoration paths for power systems considering failure risk of restoring transmission lines[J].Automation of Electric Power Systems,2015,39(23):68-83.
[12] 王江宇,刘艳.基于重构方案线路投运风险最小的机组恢复顺序优化[J].电力系统保护与控制,2016,44(11):68-75.
Wang Jiangyu,Liu Yan.Optimization of unit’s restora-tion sequence based on minimizing of lines’ restoration risk corresponding to reconfiguration scheme[J].Power System Protection and Control,2016,44(11):68-75.
[13] 张雪丽,梁海平,朱涛,等.基于模糊机会约束规划的电力系统网架重构优化[J].电力系统自动化,2015,39(14):68-74.
Zhang Xueli,Liang Haiping,Zhu Tao,et al.Optimization of power network reconfiguration based on fuzzy chance constrained programming[J].Automation of Electric Power Systems,2015,39(14):68-74.
[14] 刘艳,张凡,顾雪平.大停电后的机组投运风险评估[J].中国电机工程学报,2013,33(31):106-112.
Liu Yan,Zhang Fan,Gu Xueping.Risk assessment for restoring units following large-scale blackout[J].Proceedings of the CSEE,2013,33(31):106-112.
[15] 刘艳,张华.基于失电风险最小的机组恢复顺序优化方法[J].电力系统自动化,2015,39(14):46:53.
Liu Yan,Zhang Hua.Optimization of units’ restoration sequence based on minimizing risk of electrical energy loss[J].Automation of Electric Power Systems,2015,39(14):46-53.
[16] Adibi M M, Martins N.Power system restoration dynamics issues[C]//Power and Energy Society General Meeting,2008:1-8.
[17] 艾小猛,韩杏宁,文劲宇,等.考虑风电爬坡时间的鲁棒机组组合 [J].电工技术学报,2015,30(24):188-195.
Ai Xiaomeng,Han Xingning,Wen Jinyu,et al. Robust unit commitment considering wind power ramp events[J].Transactions of China Electrotechnical Society,2015,30(24):188-195.
[18] 梅生伟,郭文涛,王莹莹,等.一类电力系统鲁棒优化问题的博弈模型及应用实例[J].中国电机工程学报,2013,33(19):47-56.
Mei Shengwei,Guo Wentao,Wang Yingying,et al. A game model for robust optimization of power systems and its application[J].Proceedings of the CSEE,2013,33(19):47-56.
[19] Bertsimas D, Thiele A. Robust and data-driven optimization modern decision making under uncertainty[EB/OL].[2012-10-15].http://web.mit.edu/dbertsim/www/papers/Robust%20Optimization/Robust%20and%20data-driven%20optimization-%20 modern%20decision-making%20under%20uncertainty.pdf.
[20] Bertsimas D, Sim M.The price of robustness[J].Operations Research,2004,52(1):35-53.