Title :
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
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;
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
DOI :
10.1109/ICMTMA.2010.47
