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Optimal sizing of off-grid hybrid energy system based on minimum cost of energy and reliability criteria using firefly algorithm

机译:基于萤火虫算法的最小能量成本和可靠性准则,优化离网混合能源系统的规模

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摘要

Solar and wind energy based hybrid energy system (HES) have received considerable global attention for remote applications where extension of grid supply is infeasible. This paper attempts to develop an optimal hybrid energy system model using available solar and wind energy resources with battery storage for fulfilling the electrical needs of three un-electrified remote villages located in Senapati district of Manipur, India. A Firefly algorithm based approach is used to find the optimal hybrid system configuration based on minimum cost of energy (COE) while satisfying a specified reliability criteria identified with loss of load probability (LOLP) reliability index. Further, system investigation has been carried out for optimal system feasibility at various values of LOLP. The optimal hybrid energy system is able to provide feasible solutions for LOLP values lying between 0 and 0.03. For LOLP value above 0.03, the system becomes infeasible as the COE increase with increase in LOLP.
机译:基于太阳能和风能的混合能源系统(HES)在无法扩展电网供应的远程应用中受到了全球的广泛关注。本文尝试开发一种利用现有的太阳能和风能资源以及电池存储的最佳混合能源系统模型,以满足印度曼尼普尔邦Senapati区三个未电气化偏远村庄的电力需求。基于Firefly算法的方法用于基于最小能量成本(COE)找到最佳混合系统配置,同时满足通过负载概率(LOLP)可靠性指标确定的指定可靠性标准。此外,已经进行了系统研究以在各种LOLP值下获得最佳系统可行性。最佳混合能源系统能够为介于0到0.03之间的LOLP值提供可行的解决方案。对于高于0.03的LOLP值,随着COE随着LOLP的增加而增加,系统将变得不可行。

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