Techno-Economic-Environment Analysis of Solar PV Smart Microgrid for Sustainable Rural Electrification in Agriculture community

A. Desai, I. Mukhopadhyay, A. Ray
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引用次数: 5

Abstract

Still in many countries due to lack of electricity and not available of electrical infrastructure people is still using Diesel Genset (DG) for Agriculture activity. This DG set uses a diesel which is producing green house gases. Solar PV Smart Microgrid(SSM) system is best option of this DG set and it solve the energy and environment issue for this isolated community. This paper aims at analysing the techno-economic-environment sustainability of Solar PV Smart Microgrid(SSM) for sustainable rural electrification in Agriculture community. Modelling is used to perform optimization and sensitivity analysis. The analysis showed that SSM consist of solar photovoltaics (PV) is the least cost optimal system. This system ensures a reliable power supply without Conventional power and achieves 100% CO2 emissions reduction compared to a conventional power. Moreover, the study demonstrated that the most economical SSM depends strongly on the potential energy sources available at a location and power plant's remoteness from the beneficiary. The existing power supply configuration has also been compared to the best system after analyzing and investigating all technical and economic feasibility. The results show that the current diesel-based system is not viable for the village’s people, but rather a heavy burden to them due to the high cost of per unit electricity. In contrast, a Solar PV Smart Microgrid appeared to be the most feasible system. The proposed system is found to be around 33% inexpensive considering the net present cost and cost of energy, respectively, with a 100% share of renewable energy which reduces 63,750 kg carbon dioxide per year.
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面向农业社区可持续农村电气化的太阳能光伏智能微电网技术经济环境分析
在许多国家,由于缺乏电力和电力基础设施,人们仍在使用柴油发电机组(DG)进行农业活动。这台DG机组使用的柴油会产生温室气体。太阳能光伏智能微电网(SSM)系统是该DG机组的最佳选择,它解决了这个孤立社区的能源和环境问题。本文旨在分析太阳能光伏智能微电网(SSM)在农业社区可持续农村电气化中的技术、经济和环境可持续性。建模用于优化和灵敏度分析。分析表明,由太阳能光伏组成的SSM系统是成本最低的最优系统。该系统在没有传统电源的情况下确保了可靠的供电,与传统电源相比,实现了100%的二氧化碳减排。此外,研究表明,最经济的SSM在很大程度上取决于一个地点的潜在能源和发电厂离受益者的距离。在分析和调查了所有技术和经济可行性后,还将现有的电源配置与最佳系统进行了比较。结果表明,目前以柴油为基础的系统对该村的人们来说是不可行的,而且由于单位电力的高成本,对他们来说是沉重的负担。相比之下,太阳能光伏智能微电网似乎是最可行的系统。考虑到净当前成本和能源成本,该系统的成本分别约为33%,其中100%的可再生能源份额每年可减少63,750公斤二氧化碳。
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