Generation Scheduling of Thermal Units Integrated with Wind-Battery System Using a Fuzzy Modified Differential Evolution Approach

This paper presents a fuzzy methodology for solving thermal unit commitment problem integrated with wind power system using differential evolution approach. Wind power facility is coupled with an equivalent battery to compensate with frequency and voltage fluctuations. Wind energy system is integrated with the system due to lower electric cost and positive effect on the environment. But due to the uncertainty of wind speed and hence wind power generation and load forecasting, a crisp optimization method may fail short providing the effective solution. Therefore, to solve the problem effectively, this model handles such imprecision by fuzzyflcation. Then the unit commitment problem is solved by using a modified differential evolution approach. Trivial differential evolution method is modified to work with thermal scheduling problem which is a mixed-integer problem requiring discrete optimization. Several simulations are presented in order to demonstrate the effectiveness of the proposed method.