从成本和排放的角度对插电式汽车和可再生能源进行了全面的分析

H. Karimi, Javad Ansari, A. Gholami, A. Kazemi
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引用次数: 12

摘要

近年来,温室气体排放已成为国际社会关注的热点问题。在这方面,交通运输和电力工业作为这一污染的主要来源已被广泛考虑。建议提高设备效率,使用和开发新技术,如电动汽车(ev)、具有车辆到电网能力的电动汽车(称为“电网汽车”(gv))和可再生能源(RESs),作为解决排放问题的解决方案。电动汽车从电网充电会增加电网负荷,尤其是峰值负荷。负荷的增加将导致能源损失、发电燃料成本、初始投资需求和电厂排放的增加。因此,对于任何决策,同时研究和分析所有重要的影响因素是很重要的。本文从经济/环境的角度对电动汽车和RESs在电力系统中的渗透进行了研究。将多目标优化方法应用于一个十单元系统,以同时找到最优的成本和井轮排放。为了获得更准确、更接近实际的调查结果,在电力调度计算中采用了风电场成本函数的扩展模型。
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A comprehensive well to wheel analysis of plug-in vehicles and renewable energy resources from cost and emission viewpoints
In recent years, greenhouse gas emission has become a critical issue for the international community. In this regard, transportation and electricity industries as main sources of this pollution have been taken into consideration widely. Increase in equipment's efficiency and using and developing new technologies such as Electric Vehicles (EVs), EVs with vehicle-togrid capability, referred to as “gridable vehicles” (GVs), and Renewable Energy Sources (RESs) are recommended as solutions for solving the emission problem. Charging EVs from grid increases grid load, especially the peak load. This increase in load will consequently increase the amount of energy losses, fuel cost of power generation, need for initial investment, and power plant emissions. Thus, to any decision making, it is important to study and analyze all important effective factors simultaneously. In this paper, EVs and RESs penetration in power system is investigated in terms of economics/environment. A multi-objective optimization is applied to a ten-unit system to find the optimal cost and well to wheel emission simultaneously. In order to have a more accurate and close to realistic survey, an extended model of Wind Farm (WF) cost function is employed in power dispatch calculations.
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