Cuckoo-search optimized fuzzy-logic control of stationary battery storage systems

Energy storage systems are acknowledged as key components for transforming the power system towards low-carbon technology. The performance and resulting benefit of energy storage systems are determined by their operation strategies. We present a generic and adaptive control algorithm, based on fuzzy-logic and optimized by a meta heuristic search method. The performance of the algorithm is demonstrated in a solar home context, with the aim to alleviate the voltage rise in the low-voltage distribution grid caused by renewable energy generation. This is achieved by reducing the household's peak feed-in of each day. The obtained results show that the proposed algorithm performs similarly well as a rule-based reference algorithm, specifically designed to reduce the daily feed-in peak. At the same time, the generic structure of the proposed controller is by far more versatile, as it allows its application in a variety of scenarios just by modifying the objective function for the search algorithm.