Assessment of Viability of Battery Storage with Residential Solar PV System using System Advisor Model

2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pub Date : 2022-08-26 DOI:10.1109/ASIANCON55314.2022.9909236

Anshul Amin, Nirav D. Karelia, V. Shukla, Gaurav Patel

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Abstract

Growing interest in renewable energy sources has proliferated the installation of residential solar PV systems all over India, with support from the government in the form of subsidies. The Indian government plans to achieve 450GW of solar energy by 2030. This requires implementing battery energy storage systems (BESS) for grid and load management. This research focuses on the financial and technical viability of implementing hybrid solar PV systems on the residential level by implementing a proper model on SAM (System Advisor Model) software and analyzing parameters to check the system's feasibility. Various simulations are run to check the cases of models and do a systematic analysis. Proper input parameters have been taken to make it as close to actual life systems as possible. The results are then analyzed, and proper objective conclusions are made for the solar PV systems with BESS/ hybrid PV systems. The work done in this paper can be perused for raising awareness and incentivizing the public to invest in BESS and solar PV systems.

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基于系统顾问模型的住宅太阳能光伏系统电池储能可行性评估

在政府补贴的支持下，对可再生能源日益增长的兴趣使得印度各地的住宅太阳能光伏系统的安装激增。印度政府计划到2030年实现450亿瓦的太阳能发电。这就需要实施用于电网和负荷管理的电池储能系统(BESS)。本研究通过在SAM (System Advisor model)软件上实现适当的模型，并分析参数来检查系统的可行性，重点研究在住宅层面实施混合太阳能光伏系统的财务和技术可行性。通过各种仿真来验证模型的情况，并进行系统的分析。采用适当的输入参数，使其尽可能接近实际生活系统。然后对结果进行分析，对BESS/混合光伏系统的太阳能光伏系统做出了适当的客观结论。本文所做的工作可以用来提高公众的意识，激励公众投资于BESS和太阳能光伏系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 2nd Asian Conference on Innovation in Technology (ASIANCON)

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