华南理工大学学报(自然科学版) ›› 2016, Vol. 44 ›› Issue (2): 97-106.doi: 10.3969/j.issn.1000-565X.2016.02.015

• 动力与电气工程 • 上一篇    下一篇

基于时段解耦的含特殊负荷的配电网动态无功优化

欧阳森 杨家豪 安晓华 陈欣晖   

  1. 华南理工大学 电力学院//广东省绿色能源技术重点实验室,广东 广州 510640
  • 收稿日期:2015-06-01 修回日期:2015-10-10 出版日期:2016-02-25 发布日期:2016-01-04
  • 通信作者: 欧阳森(1974-) ,男,博士,副研究员,主要从事电能质量、节能技术与智能电器研究. E-mail:ouyangs@scut.edu.cn
  • 作者简介:欧阳森(1974-) ,男,博士,副研究员,主要从事电能质量、节能技术与智能电器研究.
  • 基金资助:
    国家自然科学基金重点项目( 50937001 ) ; 华南理工大学中央高校基本科研业务费专项资金资助项目( 2012ZM0018)

Dynamic Reactive Power Optimization of Distribution Network Containing Special Load Based on Time Decoupling

OUYANG Sen YANG Jia-hao AN Xiao-hua CHEN Xin-hui   

  1. School of Electric Power//Key Laboratory of Clean Energy Technology of Guangdong Province,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2015-06-01 Revised:2015-10-10 Online:2016-02-25 Published:2016-01-04
  • Contact: 欧阳森(1974-) ,男,博士,副研究员,主要从事电能质量、节能技术与智能电器研究. E-mail:ouyangs@scut.edu.cn
  • About author:欧阳森(1974-) ,男,博士,副研究员,主要从事电能质量、节能技术与智能电器研究.
  • Supported by:
    Supported by the National Natural Science Foundation of China( 50937001)

摘要: 针对特殊负荷的扩大化趋势导致配电网中潮流分布不确定、电压波动范围增大、无功电压调控困难的问题,提出一种含特殊负荷的配电网动态无功优化方法. 基于随机潮流计算对含特殊负荷的配电网潮流不确定性进行描述; 针对离散控制设备动作次数约束造成动态无功优化问题的时空强耦合性,提出一种时段解耦策略来实现原问题的解耦并将其转化为逐时段连续优化决策; 基于电压概率分布信息及设备调节能力分别设计了电压质量和设备动作罚函数,优化目标充分计及网损、电压概率分布以及设备调节能力的共同作用,根据优化进程中的控制变量及状态变量信息实现配电网无功电压的趋优控制. 最终,以IEEE33 节点配电网进行实例分析,验证了文中所提方法的有效性.

关键词: 配电网, 动态无功优化, 时段解耦, 特殊负荷, 随机潮流, 多种群遗传算法

Abstract: The expansion of special loads in power distribution networks results in uncertain power flow distribution,great voltage fluctuation and difficulties in the control of reactive power.In order to solve this problem,a dynamic reactive power optimization method of the distribution network containing special loads is proposed.In the investigation,first,the uncertainty of power flow in the distribution network containing special loads is described via the calculation of probabilistic load flow.Next,in order to overcome the strong space-time coupling of dynamic reactive power optimization issue created by the action constraints of the discrete control equipment,a time decoupling strategy is proposed,which transforms the original problem into a continuous optimization decision in each period.Then,a voltage quality penalty function and an equipment switch penalty function are designed based on the probabilistic voltage distribution information and the equipment adjustment ability.The optimization goal fully considers the network loss,the probabilistic voltage distribution and the equipment adjustment ability,so that the reactive voltage of the distribution network can be optimized according to the optimization process of control variables and state variables.Finally,a case study on IEEE 33-bus system is performed to verify the effectiveness of the proposed method.

Key words: power distribution network, dynamic reactive power optimization, time decoupling, special load, probabilistic load flow, multi-population genetic algorithm