考虑发电计划的电网阻塞疏导UPFC配置研究

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Abstract Power grid operation is a complex dynamic process, the intense competition of electricity market and the randomness of load may lead to the phenomenon of power blockage in some period, and cause security hidden troubles. The Unified Power Flow controller (UPFC) can control the line powers flow and stabilize the node voltage, and effectively alleviate the problem of electrical congestion. In order to adjust the power generation schedule as little as possible, in view of the shortcoming of the existing UPFC configuration method has not fully considered the uncertainty of system operating state, this article establishes a various screens UPFC configuration model based on power system generation schedule, and divides the load according to the quarterly power generation plan, takes the minimum average value of maximum load rate of each line in each scene as the objective function, and uses the genetic algorithm to solve the optimal scheme of UPFC configuration. An analysis of IEEE-39 node system is presented to verify the correctness and effectiveness of the model and algorithm.

Key words： power blockage unified power flow controller allocation schemes scenario analysis

Received: 19 December 2017 Published: 19 June 2018

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	Articles by authors
	Zhang Dabo
	Zhu Zhipeng
	Lian Shuai

Cite this article:

Zhang Dabo,Zhu Zhipeng,Lian Shuai. Allocation schemes research of UPFC based on relieving power blockage considering the power generation schedule[J]. Electrical Engineering, 2018, 19(6): 14-19.

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http://dqjs.cesmedia.cn/EN/Y2018/V19/I6/14

[1] 高赐威, 程浩忠. 电力市场环境下电网规划的若干问题研究[J]. 华东电力, 2005, 33(3): 5-10.
[2] Wang R, Lasseter R H.Re-dispatching ration to increase power security margin and support low voltage bus[J]. IEEE Transactions on system Power, 2000, 15(4): 496-501.
[3] 姚建刚. 区域电力市场竞价交易结构与模式的探讨[J]. 电力系统自动化, 2003, 27(22): 23-25, 55.
[4] 肖宏飞, 李卫东, 魏立明. 基于阻塞支路潮流变化量的阻塞成本分摊[J]. 中国电机工程学报, 2004, 24(2): 83-87.
[5] 王秀丽, 甘志, 雷兵, 等. 输电阻塞管理的灵敏度分析模型及算法[J]. 电力系统自动化, 2002, 26(4): 10-13, 22.
[6] 何大阔, 王福利, 毛志忠. 基于改进遗传算法的电力系统经济负荷分配[J]. 控制与决策, 2007, 22(2): 230-232, 237.
[7] Fang R S, David A K.Optimal dispatch under transmission contracts[J]. IEEE Transactions on Power Systems, 1999, 14(2): 732-737.
[8] 孙元章, 焦晓红, 申铁龙. 电力系统非线性鲁棒控制[M]. 北京: 清华大学出版社, 2007.
[9] 卢强, 王仲鸿, 韩英铎. 输电系统最优控制[M]. 北京: 科学出版社, 1982.
[10] Gyugyi L A.Unified power flow control concept for flexible AC transmission systems[J]. IEEE Proceedings, 1992, 139(4): 323-331.
[11] Ba A, Tao P, Lefebvre S.Rotary power-flow controller for dynamic performance evaluation-part I: RPFC modeling[Z]. 2009.
[12] Yuan Z C, Song Q, Liu W H, et al.Nonlinear controller for unified power flow controller[J]. Automation of Electric Power Systems, 2005, 29(19): 36-39.
[13] 刘黎明, 康勇, 陈坚, 等. UPFC的交叉耦合控制及潮流调节能力分析[J]. 中国电机工程学报, 2007, 27(10): 42-48.
[14] 庄海军. UPFC的选址及网损优化计算[J]. 黑龙江电力, 2014, 36(6): 491-495, 501.
[15] 葛洪伟, 王银年. 遗传算法的研究与应用[D]. 无锡:江南大学, 2009.
[16] 周开乐, 杨善林, 丁帅, 等. 聚类有效性研究综述[J]. 系统工程理论与实践, 2014, 34(9): 2417-2431.