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含分布式发电的配电网无功优化
引用本文:陈琳,钟金,倪以信,甘德强,熊军,夏翔.含分布式发电的配电网无功优化[J].电力系统自动化,2006,30(14):20-24.
作者姓名:陈琳  钟金  倪以信  甘德强  熊军  夏翔
作者单位:1. 浙江大学电气工程学院,浙江省,杭州市,310027
2. 香港大学电机系,香港
3. 清华港大深圳电力系统研究所,广东省,深圳市,518055
4. 杭州市电力公司,浙江省,杭州市,310007
基金项目:浙江省电力公司科技计划资助项目;香港政府研究资助局(RGC)资助项目(HKU 7201105E);香港大学基础研究种子计划项目.
摘    要:研究了含风力发电的无功优化模型,介绍了包含分布式发电的配电网无功优化。当大量风力发电注入电力系统时,风力发电机随机输出功率引起配电网潮流大小、方向频繁变化,干扰了系统原有电压调节装置正常运行。为克服电压波动,保证系统电能质量,文中引入静止无功补偿器(SVC)作为配电网补偿设备,并考虑配电网中可控制无功输出的柴油发电机的无功贡献,以有功能耗费用、SVC安装费用、柴油发电机无功生产费用为目标函数,建立了含分布式发电的配电网无功优化模型。针对由蒙特卡罗仿真得到的不同风力发电状态,在实际算例中应用遗传算法确定各状态下SVC最优安装位置、输出以及可控制无功输出的分布式电源的最优输出结果。

关 键 词:无功优化  分布式发电  风力发电  静止无功补偿器  Monte-Carlo仿真  无功生产费用
收稿时间:2005-10-26
修稿时间:2005-10-262006-02-23

Optimal Reactive Power Planning of Radial Distribution Systems with Distributed Generation
CHEN Lin,ZHONG Jin,NI Yixin,GAN Deqiang,XIONG Jun,XIA Xiang.Optimal Reactive Power Planning of Radial Distribution Systems with Distributed Generation[J].Automation of Electric Power Systems,2006,30(14):20-24.
Authors:CHEN Lin  ZHONG Jin  NI Yixin  GAN Deqiang  XIONG Jun  XIA Xiang
Affiliation:1. Zhejiang University, Hangzhou 310027, China;2. The University of Hong Kong, Hong Kong, China;3. HKU and Tsinghua Shenzhen Power System Research Institute, Shenzhen 518055, China;4. Hangzhou Electric Power Company, Hangzhou 310007, China
Abstract:A method for optimal reactive power planning of radial distribution systems with distributed generation is proposed. The wind power generation units installed in distribution systems may cause reverse power flow and voltage variations due to the random-like output of wind power generation units. To conquer that disturbance, an optimal reactive power planning model is proposed to combine the reactive power support from SVC and distributed diesel units, and the optimal object is consist of power loss cost, SVC installation cost, reactive power production cost of diesel units. With the genetic algorithm as the optimization method and using Monte-Carlo simulation, the location and the output of SVC and distributed diesel units are determined. The proposed model is applied to a sample system.
Keywords:optimal reactive power planning  distributed generation  wind power generation  SVC  Monte-Carlo simulation  reactive power production cost
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