A Comparative Analysis on Reactive Power Optimization Using Various Techniques in Deregulated Power System

被引：0

作者：

Rekha, R. ^{[1
]}

Kannan, G. ^{[1
]}

机构：

[1] Sri Muthukumaran Inst Technol, EEE Dept, Madras, Tamil Nadu, India

来源：

2013 INTERNATIONAL CONFERENCE ON ENERGY EFFICIENT TECHNOLOGIES FOR SUSTAINABILITY (ICEETS) | 2013年

关键词：

Genetic Algorithm; Particle Swarm Optimization; Deregulation; Ancillary services; Reactive power cost; PARTICLE SWARM OPTIMIZATION; GENETIC ALGORITHM;

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：

The power transmission capability available from a transmission line design is limited by technological and economical constraints. Therefore, in order to maximize the amount of real power, reactive power flows must be minimized. Consequently, sufficient reactive power should be provided locally in the system to keep the bus voltages within nominal ranges in order to satisfy customer's equipments voltage ratings. In this paper, a mathematical model of reactive power optimization and its algorithm are set up and studied, and algorithms like GA and PSO are proposed for reactive power optimization in deregulated electricity market. Gauss-seidel method for the power is used in conjunction with PSO to obtain the optimal value of reactive power. To enhance the voltage profile of the overall power system, FACTS devices are used. The effectiveness of the proposed method is demonstrated on an IEEE 30-bus benchmark system in MATLAB. Results are also compared with those value obtained using GA.

引用

页数：6

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