| Summary: | 碩士 === 元智大學 === 電機工程學系 === 106 === Smart grid is a rising trend of the future power grid, nowadays, continuous innovation in electric vehicles (EVs) benefits the growth of its market share. Therefore, in the foreseeable future, its power system will have a tremendous impact on the scheduling of the overall electricity grid. Most of the optimization strategies only consider either the service revenue of the power supply terminal or the peak of the optimized power grid load. Due to the contradiction between them, most of the optimal scheduling strategies cannot effectively satisfy both aspects. The background of this research is involed in the intergration of a variety of electric vehicles into the grid. We studied the current development of the smart grid and electric vehicles all over the world, and established a mathematic model of charging and discharging for all kinds of electric vehicles. Besides, we systematically analyzed present scheduling strategies related to electric vehicles. This article focuses on electric vehicle charging and swapping station on the basis of primary power system. It is inevitable requirements of smart grid to ensure the load stability for the primary power supply end. In addition, to guarantee the income of primary power supply service with time-of-use price is also vital interests of the suppliers. Therefore, this paper presents a multi-objective optimization solution, which is expected to increase the daily load factor of electric vehicle charging and swapping stations, and at the same time, to ensure the service income of charging electric vehicles within an acceptable range.
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