基于量子混合蛙跳算法的含分布式电源配电网无功优化  

Reactive Power Optimization in Distribution Network with Distributed Generators Based on Quantum Shuffled Frog Leaping Algorithm

作　　者：陈光宇[1] 何健[2] 施蔚锦[3] 赵威[4] 

机构地区：[1]河海大学能源与电气学院,江苏南京211100 [2]国网河北省电力公司检修分公司,河北石家庄050070 [3]国网福建省电力有限公司泉州供电公司,福建泉州362000 [4]国网河北省电力公司沧州供电公司,河北沧州061600

出　　处：《电网与清洁能源》2015年第5期36-41,46,共7页Power System and Clean Energy

摘　　要：将分布式电源(DG)的无功调节能力与传统的电压调节手段相结合,研究了含DG的配电网无功优化问题。建立以降低系统网损、抑制电压波动为综合目标的配电网模糊无功优化模型。通过蒙特卡罗仿真对配电网系统进行无功补偿选址,采用量子混合蛙跳算法求解含DG的配电网无功优化问题。最后,通过IEEE 33节点系统进行仿真计算,表明在配电网接入DG的基础上进行无功优化能较大程度地改善系统电压水平和降低系统网损,并且证明了所提算法的快速性和有效性。Considering the reactive power regulation capability of distributed generation and traditional voltage regulation method,this paper studies the reactive power optimization of distribution network with distributed generators. A model for fuzzy reactive power optimization model is presented with a comprehensive objective function of reducing the network loss and restricting node voltage variations of distribution network.The location of reactive power compensation device for distri-bution network is determined by Monte Carlo simulation. Quantum shuffled frog leaping algorithm is used to solve reactive power optimization. Simulation is carried out based on IEEE33-bus system. The result shows that it can improve the voltage profiles of distribution network and reduce the network loss greatly when reactive power optimization is adopted by distri-bution network with distributed generators. In addition, the rapidness and efficiency of the proposed algorithm in verified.

关 键 词：分布式电源 配电网 蒙特卡罗仿真 量子混合蛙跳算法 无功优化 

分 类 号：TM714.3[电气工程—电力系统及自动化]