Prosumer-Based Optimization of Educational Building Grid Connected with Plug-in Electric Vehicle Integration using Modified Firefly Algorithm

Yusdiar Sandy, Ardyono Priyadi, Vita Lystianingrum
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Abstract

Educational buildings have the potential to support government programs in efforts to reduce carbon emissions. Installing photovoltaics and providing charging stations can reduce the use of fossil fuels and increase the number of electric vehicle users. This paper aims to optimize educational buildings when implementing a prosumer scheme and integrating Plug-in Electric Vehicles (PEV) to meet building electricity demands. Optimization is carried out through two case studies, namely the application of a prosumer scheme with independent photovoltaic generators with and without PEV integration. The optimization process uses the Modified Firefly Algorithm. The results obtained by applying the prosumer scheme to educational buildings, the two case studies can produce LCOE cheaper than just buying electricity from the grid. Optimizing results show that photovoltaic installation and charging stations in educational buildings can be beneficial when implementing a prosumer scheme.
基于改进萤火虫算法的插电式电动车集成教育建筑电网产消优化
教育建筑具有支持政府减少碳排放项目的潜力。安装光伏和提供充电站可以减少化石燃料的使用,增加电动汽车用户的数量。本文旨在通过实施产消方案和集成插电式电动汽车(PEV)来优化教育建筑,以满足建筑的电力需求。优化是通过两个案例研究进行的,即一个产消方案的应用,独立的光伏发电机有和没有PEV集成。优化过程采用改进的萤火虫算法。通过将产消方案应用于教育建筑获得的结果,这两个案例研究可以产生比仅仅从电网购买电力更便宜的LCOE。优化结果表明,在实施产消方案时,在教育建筑中安装光伏和充电站是有益的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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