Seasonal Impact on the Storage Capacity Sizing in a Renewable Energy System Under the Condition of Safe Operation

2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC) Pub Date : 2023-03-08 DOI:10.1109/ICEPECC57281.2023.10209523

S. Javaid, Yuto Lim, Yasuo Tan

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Abstract

Renewable energy sources (RESs) are now increasing as an essential portion of the power generation system. The main advantage of these RESs is environmental friendliness. However, the instability of power generation by weather conditions can highlight power quality and stability issues when connected to the main power grid. To accommodate the effects of power fluctuations, the energy storage system is an important addition to any power system with renewable power generators and dynamic power loads. Energy storage systems can help in supplying/absorbing power in a situation of excess/shortage of power. The seasonal patterns of power demand have reduced the stability of the power grid even leading to power blackouts. As a result, the optimal size of the storage system is required for efficient storage utilization. This paper proposes an optimization problem that identifies the optimal storage capacity for each season while preserving the safety conditions of the power system. Finally, the feasible solution of the optimization problem is found using Linear Programming Solver in MATLAB.

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安全运行条件下季节对可再生能源系统储能规模的影响

可再生能源(RESs)作为发电系统的重要组成部分正在增加。这些RESs的主要优点是环境友好。然而，受天气条件影响的发电不稳定，在与主电网连接时，会突出电能质量和稳定性问题。为了适应电力波动的影响，储能系统是任何具有可再生能源发电机组和动态电力负荷的电力系统的重要补充。储能系统可以帮助在电力过剩/短缺的情况下提供/吸收电力。电力需求的季节性模式降低了电网的稳定性，甚至导致了停电。因此，为了有效地利用存储空间，需要存储系统的最优大小。提出了在保证电力系统安全运行的前提下，确定各季节最优储能容量的优化问题。最后利用MATLAB中的线性规划求解器求出优化问题的可行解。

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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2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)

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