微电网混合太阳能/风能/柴油和电池储能发电系统:在泰国南部苏梅岛的应用

Rawit Khamharnphol, I. Kamdar, J. Waewsak, Weerasak Chaichan, Sakrapee Khunpetch, Somphol Chiwamongkhonkarn, C. Kongruang, Y. Gagnon
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引用次数: 3

摘要

本文介绍了一个10兆瓦的太阳能/风能/柴油发电系统与电池储能系统(BESS)的优化,该系统用于泰国南部苏梅岛配电系统的一个馈线。主要目标是最大限度地部署基于可再生能源的发电,并尽量减少能源的平准化成本(LCOE)。采用HOMER Pro软件对太阳能光伏、风力发电机、柴油发电机(DiG)、双向并网充电逆变器(CONV)和BESS组成的可再生能源混合发电系统进行了仿真研究。本研究访问了美国国家航空航天局(NASA)的地表气象和太阳能(SSE)数据库,以获取全球太阳辐射和温度,以及现代研究与应用回顾性分析(MERRA-2)风数据库。模拟结果表明,方案1 (PV/Wind/DiG/BESS/CONV)和方案3 (PV/DiG/BESS/CONV)是经济指标(即最低净当前成本(NPC)为4.38亿美元,LCOE为0.20美元/千瓦时)和环境指标(即最低温室气体(GHG)减排(6,339吨/年)和最高可再生比例(RF)为89.4%)的最佳配置。此外,敏感性分析表明,方案3提供了具有最大年发电量(AEP)的最优系统类型。除了为微电网混合电力系统优化方法的知识体系做出贡献外,这项工作的结果将有助于区域能源从业者和政策制定者在苏梅岛发展绿岛概念时对微电网混合系统的最佳配置进行研究。
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Microgrid Hybrid Solar/Wind/Diesel and Battery Energy Storage Power Generation System: Application to Koh Samui, Southern Thailand
This paper presents the optimization of a 10 MW solar/wind/diesel power generation system with a battery energy storage system (BESS) for one feeder of the distribution system in Koh Samui, an island in southern Thailand.  The main objectives are to maximize the deployment of renewable energy-based power generation and to minimize the levelized cost of energy (LCOE).  A hybrid renewable energy-based power generation system, consisting of solar PV, wind turbine generators, diesel generator (DiG), bi-directional grid-tied charging inverter (CONV) and BESS, was simulated using HOMER Pro®. This study accessed the database of the National Aeronautics and Space Administration (NASA) for the Surface meteorology and Solar Energy (SSE) for the global solar radiation and temperature, along with the Modern-Era Retrospective analysis for Research and Applications (MERRA-2) wind database. The simulations show that Scenario 1 (PV/Wind/DiG/BESS/CONV) and Scenario 3 (PV/DiG/BESS/CONV) are the optimal configurations regarding the economic indicators (i.e. minimum net present costs (NPC) of 438 M$ and LCOE of 0.20 $/kWh) and the environmental indicators (i.e. lowest greenhouse gases (GHG) emission avoidances of 6,339 tonnes/year and highest renewable fraction (RF) of 89.4%). Furthermore, the sensitivity analysis illustrates that Scenario 3 offers the optimal system type with the largest annual energy production (AEP). Besides contributing to the body of knowledge of optimization methodologies for microgrid hybrid power systems, the outcome of this work will assist the regional energy practitioners and policy makers regarding optimal configurations of microgrid hybrid systems in the development of a Green Island concept for Koh Samui.
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来源期刊
CiteScore
4.50
自引率
16.00%
发文量
83
审稿时长
8 weeks
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