Dynamic Economic Dispatch for Wind Farms Integrated Power System Based on Credibility Theory

Since membership functions have no self-duality,it is difficult to make a decision for economic dispatch with fuzzy confidence level.Based on credibility theory and fuzzy chance constrained programming,this paper investigates dynamic economic dispatch problems considering fuzziness of wind power prediction errors.Firstly,based on credibility theory,we establish the credibility distribution function model of wind power forecast errors.And a fuzzy credibility index is presented to develop a fuzzy chance constrained model considering valve point effect for dynamic economic dispatch integrated wind farm.To solve the model,we employ an intelligence algorithm called chaotic particle swarm optimization method.Lastly,based on proposed approach,optimal solutions and analysis by testing a 10-units system contained a wind farm are shown.