Application of Fuzzy Control in Hybrid Wind/PV Microgrid with Energy Storage

Wind and solar power generation have such characteristics as randomness and intermittent, so the stability and reliability of microgrid can be improved significantly by the applying of the energy storage system. Hybrid energy storage system combines the high power density of super capacitors with high energy density of batteries. A kind of hybrid wind/PV microgrid with Energy Storage model is presented in this paper as well as relative control strategies. For the shortage of weighted moving average filtering algorithm, power allocation efficiency can be improved by taking advantage of the fuzzy control based on power balance and the charge state of energy storage system to optimize sliding time constant T. A hybrid wind/PV microgrid with Energy Storage model is built based on Matlab/Simulink platform, and the effects of power allocation obtained by using fuzzy control or not are compared. The results show that fuzzy control can be used to more effectively allocate hybrid energy storage power based on the above control strategy, and the power allocation efficiency is improved more significantly, which reduce the depth of charge and discharge, and extend the service life of the energy storage system.