Study on Electric Automation with Reactive Optimization Based on TSGA in Power System

Author:

Zhao Jing1,Shi Wei1,Xu Chun Xiang1

Affiliation:

1. Zhongzhou University

Abstract

Focusing on electric automation with the reactive optimization for power system which is a nonlinear object with multiple variables and constraint conditions, the paper presents an optimal method based on Taboo Search and Genetic Algorithm, which inherits and develops the advantages of multiple search and high robust performance of Genetic Algorithm, and the high climbing ability of Taboo Search to improve the convergence performance and speed. The simulation for IEEE30 node system proves that the method introduced in the paper is appropriate and efficient in the field of electric automation.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference6 articles.

1. Qiu J, Shahidehpour S M. A New Approach for Minimizing Power Loss and Improving Voltage Profile. IEEE Trans on Power Systems, 2(5) (1987) pp.287-295.

2. Shen Rugang. Reactive Power Optimization in Power System Quadratic Programming Method. Proceedings of the CSEE, 6(5) (1986) pp.40-47.

3. Liu Mingbo, Cheng Jinhui. Linear Programming Interior Point Method of Reactive Power Comprensive Optimization in Power Sytems. Proceedings of the CSU-EPSA, 11 (1999) 88-92.

4. Song Cushi, Shi Weiguo. TS-GA for Solving Multi-craft Job-Shop Scheduling, Computer Engineering and Applications, 44(26) (2008) pp.227-229.

5. Ling Xiaodong, Wu Xiaoyue. Study of Gats Algorithm for Multi-satellite TT&C Scheduling Problem,Journal of Astronautics, 30(5) (2009) pp.2133-2139.

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