Multi-objective dispatch planning of power system considering the stochastic and fuzzy wind power

This paper presents a novel dispatch planning of the power system considering the stochastic and fuzzy characteristics and multiple uncertainties of large-scale wind power. Firstly, based on the actual uncertainty of power system integrating wind power, wind speed is modeled as random fuzzy variable, and the fluctuation of the load forecast uncertainty is expressed by the interval. Secondly, considering the multi-attribute uncertainty of wind power and load, a novel multi-objective unit commitment model which minimizes both the power purchase cost and emission of atmospheric pollutants of thermal generators is proposed. Then the initial optimization populations of genetic algorithm are fuzzed by inequality interval constraint of load. The probability density distribution is used to describe the stochastic and fuzzy characteristics of the solution. Therefore, the solution set of multi-objective considering multiple uncertain characteristics can be achieved. Finally, the proposed generation dispatch method is tested on a provincial grid containing ten thermal generators and a large wind farm. The results show the effectiveness of the proposed model and the approach.