Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6595
Title: 市场环境下计及无功源停运的年度无功购买策略
Other Titles: Annual procurement of reactive power capacity considering outage of VAR sources in an electricity market environment
Authors: Zhang, F
Wen, F
Ngan, HW
Yu, CW
Chung, CY 
Wong, KP
Keywords: Reactive power
Capacity procurement
Outage
Differential evolution algorithm
Monte-Carlo simulation
Electricity market
Issue Date: 25-Aug-2009
Publisher: 電力工業部南京自動化硏究所
Source: 电力系统自动化 (Automation of electric power systems), 25 Aug. 2009, v. 33, no. 16, p. 44-49 How to cite?
Journal: 电力系统自动化 (Automation of electric power systems) 
Abstract: 无功需求容量的适当确定和获取,对维持系统电压稳定、降低网损和缓解电力市场环境下的无功市场势力至关重要。研究了电力市场环境下计及无功源停运的年度无功容量购买策略问题;发展了计及多个无功源可能同时停运时确定无功容量需求的数学模型,以最小化购买无功容量的成本、切负荷成本和发电再调度成本之和的总成本为目标。发展了蒙特卡罗模拟和差异进化算法相结合的方法来求解这一优化问题。最后,用算例对所提出的模型和方法做了说明。
Appropriate determination of reactive power requirements is an important issue for maintaining voltage stability, decreasing transmission losses, and mitigating the potential exercise of reactive market power. A model is developed for annual procurement of reactive power capacity considering the possible outage of multiple VAR sources in an electricity market environment. The objective is to minimize the total cost, including the cost of purchasing reactive power capacity, load shedding and generation redispatch. A method based on the Monte-Carlo simulation and differential evolution algorithm is used for solving the established optimization problem. Simulation results from case studies demonstrate the essential features of the developed model and the solution method.
This work is jointly supported by Special Fund of the National Basic Research Program of China (No . 2004CB217905) and National Natural Science Foundation o f China (No . 70673023) .
URI: http://hdl.handle.net/10397/6595
ISSN: 1000-1026
Rights: © 2009 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2009 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.
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