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

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.