Battery Integrated Optimal Power Smoothing of Solar PV Output Using Meta-Heuristic Optimization

Ammar Atif, K. Khan, M. Khalid
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引用次数: 2

Abstract

The share of renewable energy (RE) sources is drastically increasing as they prove to be environmentally secure power sources. Nevertheless, excessive RE penetration leads to grid problems that can be solved by integrating battery energy storage system (BESS). Accordingly, the techno-economic significance of BESS needs to be maintained. This paper formulates a meta-heuristic optimization to smooth the solar power fluctuations by BESS through determining the optimal filtering time constant that yields an optimum smoothed dispatched solar power and BESS constraints using harmony search algorithm. The proposed optimization technique is tested and validated on a solar integrated test system highlighting its robustness within feasible number of iteration and time limit.
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基于元启发式优化的电池集成太阳能光伏输出最优功率平滑
可再生能源(RE)的份额正在急剧增加,因为它们被证明是环境安全的能源。然而,过度的可再生能源渗透会导致电网问题,这可以通过集成电池储能系统(BESS)来解决。因此,BESS的技术经济意义需要保持。本文通过和声搜索算法确定最优的滤波时间常数和BESS约束,提出了一种利用BESS平滑太阳能发电波动的元启发式优化方法。在太阳能综合测试系统上进行了验证,验证了该优化方法在可行迭代次数和时间限制内的鲁棒性。
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