| Summary: | 碩士 === 雲林科技大學 === 電機工程系碩士班 === 96 === This thesis includes three problems. First, distribution companies consider the expansion of substation facilities is not simple, and the power demand keeps on raise. The distribution system planners are using distributed generation to expand the system capacity. They need to decide optimal sitting and sizing of distributed generation. Second, due to the reactive power demands exist in the power system, there are reactive power flows on the transmission lines. Therefore the system voltage drop and line loss problems will be appeared. The distribution system planners decide optimal sitting of capacitors that can advance bus voltage, reduce transmission line loss and improve the reliability. Finally, the above of two problems have to consider at the same time. The distribution system planners decide optimal sitting and sizing of distributed generation and capacitor. Using distributed generation to expand the system capacity and capacitor could compensate the reactive power. This thesis presents a method called memetic algorithm for the above three problems. Its feature is that combine with local search heuristics. By exchange the good information between every individual of a population then the solution can be achieved the global minima simply. It is shown in experiments that apply many kinds of local search methods to decide the best one then used to determine the optimal sitting and sizing of distributed generation and capacitor. Numerical results show that memetic algorithm is an effective and fast method than other heuristics.
|
|---|
