Capacity allocation of HESS in microgrid based on fuzzy control and ABC algorithm

Hybrid energy storage system (HESS) is a key component for smoothing fluctuation of power in microgrid. Appropriate configuration of energy storage capacity for microgrid can effectively improve system economy. A new method for HESS capacity allocation in microgrid based on fuzzy control and ABC algorithm is proposed. The method proposed a power allocation strategy based on low pass filter (LPF) and fuzzy control. The strategy coordinates battery and supercapacitor operation and improves battery operation environment. The fuzzy control takes the state of charge (SOC) of battery and supercapacitor as the input, and the correction coefficient of the time constant of the LPF filter as the output. The filter time constant of the LPF is adjusted in real time, and the SOC of the battery and supercapacitor is stable within the limited range, so that the overcharge and over-discharge of the battery can be avoided, and the lifetime of the battery is increased. This method also exploits sub-algorithms for supercapacitor and battery capacity optimisation. Besides, Monte Carlo simulation of the statistic model is implemented to eliminate the influence of uncertain factors such as wind speed, light intensity and temperature. The artificial bee colony (ABC) algorithm is used to optimise the capacity allocation of hybrid energy storage, which avoids the problem of low accuracy and easy to fall into the local optimal solution of the supercapacitor and battery capacity allocation sub-algorithms, and the optimal allocation of the capacity of the hybrid energy storage system is determined. By using this method, the number of supercapacitor required for the HESS is unchanged, and the number of battery is reduced from 75 to 65, which proves the rationality and economy of the proposed method.