Application of Particle Swarm Optimization for Loading Balance of Main Transformers and Distribution Feeders

• Main Authors: Ci-Zong Wang, 王啟宗
• Other Authors: Chia-Hung Lin
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/77245821419812766256

碩士 === 國立高雄應用科技大學 === 電機工程系 === 97 === In this thesis, a particle swarm optimization based on weighting selection as a decision maker is proposed to solve the desired switching operations such that the loading balance of feeder and main transformer can be achieved. A Taipower distribution system in Siaogang with 34 feeders is selected for computer simulation to demonstrate the effectiveness of the proposed methodology for solving the optimal switching operation of distribution systems to enhance the loading balance of distribution feeders and main transformers. It is used to solve the optimal switching problem by considering the customer load characteristics for the normal operation and the overload contingency of the distribution system. The result of this thesis will provide an important reference for distribution automation in Taipower.