Study of Available Transfer Capability Based on Real-Coded Mind Evolution Algorithm

Author

Li Guoqing ; Dai Lili ; Sun Yan ; Zhang Jian

Author_Institution

Northeast Dianli Univ., Jilin, China

Volume

3

fYear

2010

fDate

13-14 March 2010

Firstpage

543

Lastpage

547

Abstract

This paper indepth study the related issues of Available Transfer Capability (ATC). Real-coded Mind Evolution Algorithm (RMEA) model is constructed which is fit for the characteristics of ATC. It improves the accuracy and effectiveness of the results of ATC. Real-coded method is used to improve the computational efficiency of the algorithm and avoid the mapping error caused by binary code. The handling of inequality constraints uses the method of non-stationary multi-stage assignment penalty function. IEEE-30 bus system is used in simulation calculation. Comparing with results gained by Benders decomposition and Improved Particle Swarm Optimization (IPSO), the results prove the rationality and validity of this proposed algorithm.

Keywords

binary codes; evolutionary computation; particle swarm optimisation; power markets; Benders decomposition; IEEE-30 bus system; available transfer capability; binary code; electricity market; mapping error; multistage assignment penalty function; particle swarm optimization; real-coded mind evolution algorithm; Automation; Binary codes; Computational efficiency; Computational modeling; Mechatronics; Paper technology; Particle swarm optimization; Reactive power; Robustness; Sun; available transfer capability; electricity market; non-stationary multi-stage assignment penalty function component; real-coded mind evolution algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.47

Filename

5459013