Capacitor Placement Optimization via Sexualized Genetic Algorithm

• Main Authors: WU, YEN-HUNG, 吳彥宏
• Other Authors: HSIAO, YING-TUNG
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/2hsh42

碩士 === 國立臺北教育大學 === 資訊科學系碩士班 === 106 === Power System consists of generation, transmission and distribution systems to deliver the power service to customers. Typical distribution systems operate in a radial configuration which is supplied from substations and feeds to distribution transformers. Distribution systems cover a very wide area with components such as main transformers, primary feeders, laterals, distribution transformers, low tension lines and meters. All these components contribute distribution line loss to deteriorate system operation efficiency. Numerous shunt capacitors are installed along distribution feeders to compensate for reactive power to regulate the voltage, reduce energy, correct the power factor, and release system capacity. This dissertation presents a Sexualized Genetic Algorithm to solve the capacitor placement optimization. The Sexualized Genetic Algorithm simulates the operating relationship between the man and woman. Finally, to demonstrate the effectiveness of the proposed method, comparative studies are conducted on an actual system with rather encouraging results. To find out the changes of each objective function between before and after the placement of capacitors, IEEE 9 Bus distribution system is used to test in this method. It proves that the proposed method is the most effective method to solve the optimal capacitor placement problem.