Summary: | 碩士 === 國立臺灣海洋大學 === 電機工程學系 === 98 === As the global economic recovery and the rising of the hi-tech industry, the power demand is more and more high. The uncertainty of global economic development has been increased significantly since the 2007 financial tsunami has been happen, the entry into force of the 2005 Kyoto Protocol, and sharp rise in energy prices, will make the future electricity production plans developed is more difficult. In the past, most of the Unit Commitment (UC) simulated takes always one week as the simulation period, and takes the first day simulation results as the basis for the day ahead system operation. If a middle term generation schedule to be developed, UC will be executed separately along the time-axis to find the results needed, lacks a complete model for analysis.
UC is an integer programming problem, the solution speed affected seriously by the size of integer variables. So a fast UC algorithm developed in this thesis, the integer variable combinations reduced significantly using the continuous variable model and fuzzy logic concept, is to speed up the solution process. A UC model developed in this thesis, in addition to the traditional constraints of UC, the power interchange, monthly fuel contracts, unit’s capacity factors and the start/stop number of IPP will be also considered. This algorithm can be applied to the monthly power production plan developed.
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