Determination of the Installation Locations for Static Transfer Switches in Distribution Systems by Genetic Algorithms

• Main Authors: Hong-Ming Hsieh, 謝宏明
• Other Authors: Ying-Yi Hong
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/11787500046390345969

碩士 === 中原大學 === 電機工程研究所 === 92 === Abstract Voltage sag is one of important power quality problems for the high-tech customers in Taiwan. Static Transfer Switches (STS) are considered one of the efficient remedy approaches for the voltage sags. Therefore, determination of the installation locations for STS must consider the minimal voltage sags and total number of switching operations, and maximal sensitive load voltages. In this thesis, three methods of fuzzy multi-objective, goal programming and combine fuzzy set with goal programming based on the Genetic algorithms and decision making for multi-objective programming problems to study the are proposed to feeder reconfiguration in distribution systems for minimal voltage sags and total number of switching operations, and maximal sensitive load voltages. The Prufer number is used for encoding the chromosomes (strings) in the Genetic algorithms. The Prufer number ensures that the system structure is radial for the distribution system.