| Summary: | 碩士 === 國立臺灣科技大學 === 電機工程系 === 99 === With the increasing international concern about carbon dioxide (CO2) emissions, it is no longer adequate to plan spinning reserves taking only the lowest production cost into account. Therefore, the purpose of this thesis was to present an optimal spinning reserve planning scheme considering CO2 emissions and the variations in the system reliability index while incorporating renewable energy in the power dispatch selection. First, we introduced two different objective scheduling modes of production costs and CO2 emissions, and then solved the unit commitment problem in different spinning reserve values and wind penetrations. Owing to the large-scale non-linear programming problem of generation scheduling, the issues were hard to solve by a general mathematical programming method. This study applied a particle swarm algorithm with a global search capability to the generation scheduling problem. Furthermore, in order to obtain a higher probability of the global optimum, the simulation process used appropriate coding techniques to meet the constraints. Secondly, we utilized the state duration sampling of the Monte Carlo simulation to acquire the reliability assessment of these unit commitment solutions. The salient feature of the simulation strategy was that the decision-maker could make a proper spinning reserve level involving environmental, economic and reliability factors simultaneously.
Finally, taking the 27-unit system of the Tai-power as a test example, the simulation results showed that the proposed approach could indeed assist the power industry in setting the value of the spinning reserve.
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