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Selection of suitable strategy with peak load shifting based DSM strategy of standalone integrated renewable energy system for a remote rural area

机译:基于峰值负荷转移的DSM策略选择合适的策略,用于偏远农村地区的独立集成可再生能源系统

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The present work focuses on an optimal sizing of an integrated renewable energy (IRE) system comprises of locally available renewable energy sources with battery system to meet the load demand of cluster of five un-electrified villages in Karnataka State of India. Hourly load demand have been simulated using HOMER software based on three scenarios; high investment with low rating (HILR) appliances; medium investment with moderate rating (MIMR) appliances and low investment with high rating (LIHR) appliances. Simulation results of optimal sizes cost of energy (COE) and total net present cost (TNPC) has been obtained using genetic algorithm (GA) based on considered scenarios with and without DSM strategy. Obtained results of peak load shifting based DSM strategy compared with results of without DSM strategy. Based on comparison results; three scenarios based results with peak load shifting based DSM strategy found to be possible configuration. Out of these three scenarios; HILR scenario with peak load shifting based DSM strategy was found to be most feasible for the proposed remote rural area.
机译:目前的工作重点是优化集成可再生能源(IRE)系统的规模,该系统包括带有电池系统的本地可再生能源,以满足印度卡纳塔克邦五个未电气化村庄的集群的负载需求。已使用HOMER软件基于以下三种情况模拟了每小时的负载需求:低评级(HILR)设备的高投资;具有中等评级(MIMR)设备的中等投资和具有较高评级(LIHR)设备的低投资。基于遗传算法(GA)和有无DSM策略,使用遗传算法(GA)获得了最佳规模能源成本(COE)和总净现值(TNPC)的仿真结果。与没有DSM策略的结果相比,获得了基于峰值负载转移的DSM策略的结果。根据比较结果;发现三种基于场景的结果以及基于峰值负载转移的DSM策略可能是配置。在这三种情况中;对于建议的偏远农村地区,基于峰值负载转移的DSM策略的HILR方案被认为是最可行的。

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