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首页> 外文期刊>Energy Conversion & Management >Feasibility study of an islanded microgrid in rural area consisting of PV, wind, biomass and battery energy storage system
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Feasibility study of an islanded microgrid in rural area consisting of PV, wind, biomass and battery energy storage system

机译：由光伏，风能，生物质和电池储能系统组成的农村地区孤岛微电网的可行性研究

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摘要

Renewable energy systems are proving to be promising and environment friendly sources of electricity generation, particularly, in countries with inadequate fossil fuel resources. In recent years, wind, solar photovoltaic (PV) and biomass based systems have been drawing more attention to provide electricity to isolated or energy deficient regions. This paper presents a hybrid PV-wind generation system along with biomass and storage to fulfill the electrical load demand of a small area. For optimal sizing of components, a recently introduced swarm based artificial bee colony (ABC) algorithm is applied. To verify the strength of the proposed technique, the results are compared with the results obtained from the standard software tool, hybrid optimization model for electric renewable (HOMER) and particle swarm optimization (PSO) algorithm. It has been verified from the results that the ABC algorithm has good convergence property and ability to provide good quality results. Further, for critical case such as the failure of any source, the behavior of the proposed system has been observed. It is evident from the results that the proposed scheme is able to manage a smooth power flow with the same optimal configuration. (C) 2016 Elsevier Ltd. All rights reserved.
机译：事实证明，可再生能源系统是有希望的，环境友好的发电来源，特别是在化石燃料资源不足的国家。近年来，以风能，太阳能光伏（PV）和生物质为基础的系统已越来越引起人们的关注，以向孤立或能源匮乏的地区提供电力。本文提出了一种混合光伏-风力发电系统以及生物质和储能，可满足小区域的电力负荷需求。为了优化组件的大小，应用了最近引入的基于群体的人工蜂群（ABC）算法。为了验证所提出技术的强度，将结果与从标准软件工具，可再生能源的混合优化模型（HOMER）和粒子群优化（PSO）算法获得的结果进行比较。从结果证明，ABC算法具有良好的收敛性和提供高质量结果的能力。此外，对于诸如任何来源的故障之类的紧急情况，已经观察到所提出系统的行为。从结果可以明显看出，所提出的方案能够以相同的最佳配置来管理平稳的功率流。 （C）2016 Elsevier Ltd.保留所有权利。

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