| Summary: | 碩士 === 國立臺北科技大學 === 自動化科技研究所 === 98 === In recent years, due to the rapid economic growth in Taiwan, the consumption of electric energy has increased year by year. Apart from the period of 2008 to 2009, affected by the global financial tsunami, the peak load showed a decline in consumption of all time. For the rest of other years, consumption has increased steadily. According to the Taiwan Power Research Institute, the average load growth rate is 3.6%. Therefore, the supply of stable and reliable power is the prerequisite to the competition of power companies after the liberalization of the power industry. However, under the circumstances of the focus of the environmental consideration, and the difficulty in building new power plants, how to adjust existing generators to produce the energy with the greatest efficiency, proper maintenance schedule planning is essential. This article uses genetic algorithms, with objective function of levelized spinning reserve, and consider the maintenance manpower, continuous maintenance period, repair starting time, system loads, spinning reserve constraints, etc. Testing of 32 nuclear and fossil power generators unit maintenance scheduling is conducted to obtain the optimal solution. The analysis results showed that this method can obtain multiple sets of generator maintenance scheduling in a short period of time, that can help the program staff to develop the generator maintenance plan.
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