| Summary: | 博士 === 國立高雄應用科技大學 === 電機工程系 === 99 === The aim of this research is to study the load management (LM) and economic dispatch decision for the Taiwanese industries through Cat Swarm Optimization (CSO) algorithm. CSO algorithm can be proposed to select optimal demand contract and drop the basic electricity cost.
Results indicated that the CSO is superior to Particle Swarm Optimization (PSO) in the fast convergence and better performance to find the global best solution, considering the same iteration time. Also the CSO algorithm is highly helpful to Taiwanese industries on the optimal LM decision.
From the view point of demand side management, this research is to apply SCADA system and a feasible LM options for the Taiwanese industries to reduce the power cost. Also this study refers to provide decision-makers with useful LM strategies as reference.
Finally, it is suggested that future research might explore in nonlinear optimization problem through CSO algorithm, as well as in engineering and power system.
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