OPTIMAL UNIT COMMITMENT SCHEDULING FOR COGENERATION BY GENETIC ALGORITHMS

• Main Authors: Shun-Hsien Huang, 黃舜賢
• Other Authors: Bin-Kwie Chen
• Format: Others
• Language: en_US
• Published: 1999
• Online Access: http://ndltd.ncl.edu.tw/handle/58368871050506905003

碩士 === 大同工學院 === 電機工程研究所 === 87 === The main purpose of this thesis is to find the optimal unit commitment schedule during off-peak period in non-summer season by using "Genetic Algorithms", and to find the optimal economic operation mode by using "Real-Code Modified Genetic Algorithms". This thesis includes solving the economic dispatch of units at each hour and the unit commitment schedule during specified period, and finding how many hours are needed in the off-peak period that is worth of considering the unit commitment in cogeneration system. At which hour the unit should be shut down and at which hour the unit should be started up in the unit commitment also included in this thesis. Besides, the variation of fuel price in the unit commitment problem is analyzed in this thesis. The major advantages of using GA are that it can replace the shortcomings of mathematical programming approaches more efficiently. Through the proposed improvement method in this thesis, we can rapidly increase search speed. A real cogeneration system will be used as an example to verify the feasibility of the proposed scheme.