Robust control of Hybrid Wind / Energy Storage power generation system considering statistical wind characteristics

Abstract

This paper presents controller design and simulation studies of a Hybrid Wind Turbine (WT)/ Battery Energy Storage power generation interface to control of active and reactive power in distribution systems. First, the modeling of grid-connected hybrid power system has been illustrated. A probabilistic model by taking into consideration the stochastic nature of the wind has been considered. Unlike conventional approaches, in the present model, the probability of stochastic wind power is considered as a constraint. So the Weibull distribution considered in order to estimate the wind speed. Then markov chain (MC) method has been used in order to generate the wind power. The hybrid system needs power electronic converters to interface with the AC system. Then fuzzy sliding mode controller (FSMC) for the voltage source converter has been presented to control reactive and active powers in the utility grid. Then, to verify the proper operation of the proposed controller, a load profile has been implemented. Finally, simulation results have been illustrated to show power flow control capability of the developed control strategy in distribution system.