停車場電動車充電及放電最佳控制

Optimal Charging and Discharging Control for Electric Vehicles in Parking Lot

鄭弘偉(Hung-Wei Cheng)

指導教授 ： 姚立德

國立臺北科技大學/機電學院/自動化科技研究所/碩士(2014年)

https://doi.org/10.6841/NTUT.2014.00547

摘要

近日許多能源需求的相關議題，例如核能的使用與電費的調漲等等，突顯出環保意識以及能源需求之間的問題，如何有效的使用能量成為重要的議題，電動車是結合環保以及有效能源利用的最佳代表，有鑑於此，本文將利用電動車的最新技術V2G(vehicle-to-grid)，讓能量可以回饋電網，同時滿足電力公司、停車場業者、用戶三者的需求，並利用模糊推理系統(Fuzzy Inference System)計算權重因子，以及線性規劃(linear programming)找出最佳解，與目前許多論文不同的地方，在於本文提出模糊理論解決電動車充電及放電問題，並且用於即時系統，能合理的解釋每輛電動車的充放電優先次序，同時滿足電力公司、停車場業者、用戶的需求

關鍵字

電動車 ； 模糊理論 ； V2G ； 線性規劃 ； 額定容量

並列摘要

Recently, there are a lot of issues regarding energy demand. For example, Some issers related to the nuclear and electricity, etc, is it an important to effectively use energy. Electric cars are the best representatives of environmental protection and the effective of energy. In this paper, we use the latest V2G(vehicle-to-grid) technology. So that the energy can contribute to the grid , and the solution will satisfy the power companies, car industry, and users .We use fuzzy inference system (Fuzzy Inference System) to calculate weighting factors and linear programming (linear programming) to find the optimal solution, It is different with other papers. In this paper, we design fuzzy theory to solve the problem of electric vehicle charging and discharging in a real-time systems, and we can reasonably explain that electric vehicles charging priorities or discharging priorities, and the solution satisfy the power companies, car industry, and the users.

並列關鍵字

Electric vehicle ； fuzzy theory ； vehicle-to-grid ； linear programming ； rated capacity

參考文獻

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