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TLBO based cost analysis of Renewable mix in island mode accounting employment creation and human development index

机译:基于TLBO的海岛模式会计创造就业和人类发展指标的可再生能源成本分析。

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Here main goal of the paper is to consider maximization of employment creation (EC) and human development index (HDI) along with optimal sizing of renewable mix in island mode consist of solar power (SP), wind power (WP) and diesel generator power (DGP) generation units. Battery energy power (BEP) is also in role to mitigate load demand. Surplus energy generated and supplied by hybrid system may increase HDI, as HDI depends on usages of electricity. Employment creation will depends on various configuration of generating units of hybrid system and varies accordingly. The methodology was constructed by using meteorological data from Renewable Energy laboratory of Electrical Engineering department, MANIT Bhopal situated in Madhya Pradesh, India. Three different crystalline Silicon PV modules are considered: ASE-300 (mi-Si based EFG), Kyocera-120 (mc-Si based wafer) and Astro-Power AP-120 (thin-film Si). Teaching Learning based optimization (TLBO) has been applied for optimization of the considered system. Results show that AP-120 gives better result as compared with other two for PV-Wind-battery-DG combination.
机译:本文的主要目标是考虑创造就业机会(EC)和人类发展指数(HDI)的最大化,以及在岛模式下由太阳能(SP),风能(WP)和柴油发电机组组成的可再生能源组合的最佳规模(DGP)生成单位。电池能量(BEP)还可减轻负载需求。混合动力系统产生和提供的多余能源可能会增加HDI,因为HDI取决于电力的使用。创造就业机会将取决于混合动力系统发电机组的各种配置,并因此而变化。该方法是利用位于印度中央邦的MANIT Bhopal电气工程系可再生能源实验室的气象数据构建的。考虑了三种不同的晶体硅PV模块:ASE-300(基于mi-Si的EFG),Kyocera-120(基于mc-Si的晶圆)和Astro-Power AP-120(薄膜Si)。教学基于学习的优化(TLBO)已应用于所考虑系统的优化。结果表明,与其他两种PV-Wind-Battery-DG组合相比,AP-120的效果更好。

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