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首页> 外文期刊>Journal of Power and Energy Engineering >High Wind Power Penetration Large-Scale Hybrid Renewable Energy System Design for Remote Off-Grid Application
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High Wind Power Penetration Large-Scale Hybrid Renewable Energy System Design for Remote Off-Grid Application

机译:远程离网应用的高风电渗透率大型混合可再生能源系统设计

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This study looks into the resource assessment, technology economics and modeling of different energy alternatives and proposes a rechargeable battery storage-based large-scale wind/photovoltaic hybrid power system to meet an average electrical load demand of 2.4 MW and peak load of 2.9 MW for a remote rural district in Ethiopia called Geladin. The district is 682 km away from nearby grid. The site enjoys high solar and wind resources that can be harnessed for electric power generation to electrify the community. HOMER simulation software is used for optimal sizing and techno-economic analysis. The diesel generator is used as back up to fill the gaps in case both resources are out. Average monthly solar irradiation data of 6.2 kWh/m~(2) is determined from measured sunshine duration data by implementing a suitable specific model for the site. NASA satellite based estimated wind speed data of 10 years average at hub height of 50 m for the site in question is extracted from the SWERA (Solar and Wind Energy Resource Assessment) database (with annual average of 6.1 m/s) and its weigh-bull distribution parameter, k of 1.98 is estimated which indicates a fair wind speed distribution of the site to generate electric power using wind turbine. The proposed optimal system results electricity generation indicates that 92% from wind turbine, 3% from photovoltaic, 5% from diesel generator and managed to obtain a much lower cost of energy (COE = 0.11USD/kWh) than other alternatives investigated in this study such as grid extension and diesel generator.
机译:这项研究调查了资源评估,技术经济学和不同能源替代方案的模型,并提出了一种基于可充电电池存储的大型风/光混合动力系统,该系统可满足2.4兆瓦的平均电力负荷需求和2.9兆瓦的峰值负荷埃塞俄比亚的一个偏僻的农村地区,叫做盖拉丁。该地区距离附近的网格682公里。该地点拥有丰富的太阳能和风能资源,可利用这些资源发电来使社区电气化。 HOMER仿真软件用于优化尺寸和技术经济分析。如果两种资源都用完了,则可以使用柴油发电机作为备用以填补空白。通过针对现场实施合适的特定模型,根据测得的日照时间数据确定平均每月6.2 kWh / m〜(2)的日照量。从SWERA(太阳能和风能资源评估)数据库(年平均6.1 m / s)中提取NASA基于卫星估算的有关站点在中心高度50 m处平均10年的风速数据(年均6.1 m / s),公牛分布参数k估计为1.98,表示使用风力涡轮机发电的站点的风速分布合理。拟议的最佳系统结果发电表明,与本研究中研究的其他替代方案相比,风力涡轮机占92%,光伏发电占3%,柴油发电机占5%,并且设法获得了更低的能源成本(COE = 0.11USD / kWh)。如电网扩展和柴油发电机。

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