智能電網中電動車充電策略之規畫

Charging Strategy for Electric Vehicle in Smart Grid

陳治璿(Chih-Hsuan Chen)

指導教授 ： 姚立德

國立臺北科技大學/電資學院/電機工程系研究所/碩士(2013年)

摘要

近年來，由於石油危機及空氣污染等嚴重問題，使電動車的發展逐漸受到各國的高度重視。本文以電力公司之營運獲利為設計目標，制定三種類型之電價方案作為充電優先權之依據，分別為高電價方案、一般電價方案和低電價方案，其中高電價方案以滿足用戶之便利性為設計目標，而一般電價方案和低電價方案則以降低電力公司之發電成本作為設計目標，規劃各車輛於低發電成本進行充電。此外，本文亦考量大量電動車同時進行充電時對電力系統造成過載之情形，並根據各用戶之居家負載設計充電排程，提出最佳化之充電策略，從模擬結果中可得知本文設計之充電策略可在不影響用戶之必要性負載運作下，對電動車進行充電排程，並依照各用戶選擇之電價方案，盡可能地滿足各電動車之充電需求。

關鍵字

充電優先權 ； 電價 ； 居家負載 ； 電動車 ； 充電需求

並列摘要

In recent years, since the serious problems such as the oil crisis, the air pollution etc., the development of electric vehicles (EVs) have been got the highly attention by each country. The designed goal in this thesis aims to increase the operating income for the power company. According to the charging priority, there are three types of electricity price have been drawn up, that is, the high electricity price scheme, the normal electricity price scheme, and the low electricity price scheme, where the designed objective for the high electricity price scheme is to satisfy the customer's convenience, while the designed objectives of the normal electricity price and the low electricity price schemes are to reduce the cost of generating electricity for the power company, so that each vehicle can be charged at the lower cost of generating electricity. Furthermore, this thesis also takes into account the overloading event occurs on power systems when charging for extensive EVs simultaneously, and propose the optimal charging strategy for the charging scheduling according to the residential load of each customer. Simulation results show that the optimal charging strategy can effectively charging for EVs under the premise that not impact on the residential load of customer, and to satisfy the charging demand of each EV as much as possible depends on the electricity price choose by each customer.

並列關鍵字

Charging Priority ； Electricity Price ； Residential Load ； Electric Vehicle ； Charging Demand

參考文獻

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