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Optimal Sizing and Placement of Renewable DGs using GOA Considering Seasonal Variation of Load and DGs

机译:考虑负荷和DG季节性变化的GOA优化可再生DG的尺寸和位置

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A methodology for the optimum allocation and sizing of Distributed Generation (DG) using grasshopper optimization (GOA) technique is presented in this work. In order to enhance the voltage profile, reliability, and economic benefit a multi-objective function has been introduced (MOF). This MOF also reduces the active power losses and greenhouse gas emissions. The said work comprises renewable energy resources based DG techniques like wind and solar DGs. In the system seasonal variations of load, wind DG and solar DG is considered. The said work has been executed on 94-bus Portuguese practical radial distribution system. This work includes different types of loading in 94-bus Portuguese practical radial distribution system. Maximum benefits have observed when both the renewable DG simultaneously allocated. The results obtained of the presented work have been compared with other methods and hence the proposed method gives the better result.
机译:在这项工作中提出了一种使用蚱hopper优化(GOA)技术对分布式发电(DG)进行最佳分配和规模确定的方法。为了提高电压曲线,可靠性和经济效益,引入了多目标函数(MOF)。该MOF还减少了有功功率损耗和温室气体排放。所述工作包括基于可再生能源资源的DG技术,例如风能和太阳能DG。在系统的负荷季节性变化中,考虑了风能DG和太阳能DG。上述工作已在94辆葡萄牙实用的径向分配系统上完成。这项工作包括在94辆巴士的葡萄牙实用径向配电系统中装载不同类型的货物。当同时分配两个可再生能源DG时,可以看到最大的收益。所提出的工作获得的结果已与其他方法进行了比较,因此所提出的方法给出了更好的结果。

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