Title :
CSO and PSO to solve optimal contract capacity for high tension customers
Author :
Hwang, Jong-Ching ; Chen, Jung-Chin ; Pan, J.S. ; Huang, Yi-Chao
Author_Institution :
Dept. of Electr. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
Abstract :
The aim of this research is to study the optimal demand contract decision for the Taiwanese industries through CSO and PSO algorithm. Yet CSO algorithm can be proposed to select optimal contract capacity and drop the basic electricity cost. Results indicated that the CSO algorithm is highly helpful to Taiwanese industries on the optimal demand contract decision. Also the CSO is superior to PSO in the fast convergence and better performance to find the global best solution.
Keywords :
contracts; particle swarm optimisation; power markets; Taiwanese industries; cat swarm optimisation; high tension customers; optimal contract capacity; particle swarm optimisation; Ant colony optimization; Cats; Contracts; Cost function; Electricity supply industry; Energy consumption; Load management; Packaging; Particle swarm optimization; Production; Cat swarm optimization (CSO); Load management; Optimal demand contract; Particle swarm optimization (PSO); Peak loading; Swarm intelligence;
Conference_Titel :
Power Electronics and Drive Systems, 2009. PEDS 2009. International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-4166-2
Electronic_ISBN :
978-1-4244-4167-9
DOI :
10.1109/PEDS.2009.5385703
