Design of Experiments to Parameter Setting in a Genetic Algorithm for Optimal Power Flow with TCSC Device

被引：0

作者：

Apribowo, Chico Hermanu Brillianto ^{[1
]}

Hadi, Sasongko Pramono ^{[2
]}

Sarjiya ^{[2
]}

机构：

[1] Sebelas Maret Univ, Dept Elect Engn, Surakarta, Indonesia

[2] Gadjah Mada Univ, Dept Elect Engn & Informat Technol, Yogyakarta, Indonesia

来源：

2016 2ND INTERNATIONAL CONFERENCE OF INDUSTRIAL, MECHANICAL, ELECTRICAL, AND CHEMICAL ENGINEERING (ICIMECE) | 2016年

关键词：

Optimal Power Flow; TCSC; Genetic Algorithm; Design Of Experiment Techniques; OPTIMAL LOCATION; SYSTEMS;

D O I：

暂无

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

With ever-increasing demand for electricity and complexity of power system, optimal power system operation issue becomes important. Optimal power flow (OPF) with optimal placement and rating of thyristor controlled series capacitor (TCSC) is a solution to determine the economic operating costs and power flow analysis with in constraint stated below. This paper mainly concerned to minimize total cost of generation with location and rating of TCSC are optimized using genetic algorithm-design of experiment (GA-DOE). To validate the proposed method, simulations are performed on IEEE 30 bus system. The simulation results for IEEE-30 bus system, total cost of generation reduced 0,244 $/hour (0,03%) compared to OPF without TCSC. And active power losses are reduced 0,078 MW (0,84 %) compared to OPF without TCSC.

引用

页码：73 / 78

页数：6

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