Multi Objective Optimization for Optimal Power Flow with IPFC Using PSO

被引：0

作者：

Praveen, J. ^{[1
]}

Rao, B. Srinivasa ^{[2
]}

机构：

[1] DVR Dr HS MIC Coll Technol, Dept Elect & Elect Engn, Kanchikacherla-521180, Krishna District, AP, India

[2] VR Siddhartha Engn Coll, Dept Elect & Elect Engn, Kanuru-520007, Krishna District, AP, India

来源：

2016 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS (ICEES) | 2016年

关键词：

IPFC; PSO; OPF; MOOPF; PARTICLE SWARM OPTIMIZATION; COST;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Unlike Single objective optimization Multi objective optimization has the major advantage of selecting the control variables with the help of Pareto front. The objectives considered in this paper are cost of generation, transmission losses and L-index. Weighted summation method is taken as the technique for Multi objective Optimization Optimal Power Flow (MOOPF) with and without FACTS. Whereas Particle Swarm Optimization (PSO) is used for optimizing the objective values. The FACTS device used in this paper is Interline power flow controller (IPFC) which is a VSC based multi type FACTS device. The device is placed in IEEE 30-bus test system and the results arc compared for two dimensional multi objective optimization optimal power flow with and without FACTS.

引用

页码：85 / 90

页数：6

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