Optimal techno-economic analysis of a renewable based hybrid microgrid incorporating gravity energy storage system in Indian perspective using whale optimization algorithm,International Transactions on Electrical Energy Systems

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Optimal techno-economic analysis of a renewable based hybrid microgrid incorporating gravity energy storage system in Indian perspective using whale optimization algorithm
International Transactions on Electrical Energy Systems ( IF 1.9 ) Pub Date : 2021-07-14 , DOI: 10.1002/2050-7038.13025
Pinaki Dhar ₁ , Niladri Chakraborty ₁

Affiliation

A grid connected renewable energy based hybrid microgrid, incorporating solar PV, biomass generators, and Gravity Energy storage system (GESS) has been proposed in this article. This is done to provide uninterrupted energy to a hilly village of North-East India. A bi-directional energy transaction with the central grid is considered for handling uncertainties and to gain monetary benefit through energy sale. The GESS is only charged through solar PV and biomass generators, to reduce the carbon footprint. The outward energy transaction with the central grid helps in reducing the energy cost for consumers inside the microgrid. Transaction price of energy from the central grid is considered from historical data available in the website of Indian Energy Exchange Limited (IEX). For different combinations of loading pattern and GESS initial storage, the Levelized cost of energy (LCOE) is found to vary in between INR 2.71/kWh to INR 3.41/kWh, which is lower than the current Nagaland state government approved tariff of INR 3.55/kWh. Any subsidy from governmental or non-governmental organizations has not been considered in the present study while calculating the installation cost of Solar PV and Biomass generators to portray the actual scenario. Whale optimization algorithm (WOA) has been used to find the optimal solution of the proposed system.

中文翻译：

使用鲸鱼优化算法对印度视角下结合重力储能系统的可再生混合微电网进行优化技术经济分析

本文提出了一种基于并网可再生能源的混合微电网，它结合了太阳能光伏、生物质发电机和重力储能系统 (GESS)。这样做是为了为印度东北部的一个丘陵村庄提供不间断的能源。考虑与中央电网进行双向能源交易以处理不确定性并通过能源销售获得货币收益。GESS 仅通过太阳能光伏和生物质发电机充电，以减少碳足迹。与中央电网的向外能源交易有助于降低微电网内消费者的能源成本。来自中央电网的能源交易价格是根据印度能源交易所有限公司 (IEX) 网站上提供的历史数据考虑的。对于加载模式和 GESS 初始存储的不同组合，发现平准化能源成本 (LCOE) 在 2.71 印度卢比/千瓦时至 3.41 印度卢比/千瓦时之间变化，低于目前那加兰邦政府批准的 3.55 印度卢比/千瓦时电价。在计算太阳能光伏和生物质发电机的安装成本以描绘实际情况时，本研究未考虑政府或非政府组织的任何补贴。鲸鱼优化算法（WOA）已被用于寻找所提出系统的最优解。在计算太阳能光伏和生物质发电机的安装成本以描绘实际情况时，本研究未考虑政府或非政府组织的任何补贴。鲸鱼优化算法（WOA）已被用于寻找所提出系统的最优解。在计算太阳能光伏和生物质发电机的安装成本以描绘实际情况时，本研究未考虑政府或非政府组织的任何补贴。鲸鱼优化算法（WOA）已被用于寻找所提出系统的最优解。

更新日期：2021-09-16

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