Fuzzy modeling and optimization based on unit commitment of a power system intergrated with wind power.

With the drive of environmental protection and the trend of progressive exhaustion of traditional fossil energy sources, the interest is increased on integrating renewable energy sources into existing power systems.Among various renewable energy sources, wind energy is one of the most promising renewable energy sources.However, the intermittency and unpredictability of the wind power generation poses difficulty in control of frequency and scheduling of generation, which causes problems in the renewable-energy based hybrid power system.In views of this point, a fuzzy unit commitment model including wind farms is proposed.Primary energy emission and the risk are synthetically considered in the paper.Through defining the membership function, the deterministic problem is transformed into a fuzzy problem.Then it is reformulated into a nonlinear problem by means of the fuzzy satisfaction maximum-minimum.Genetic algorithm(GA) is used to solve this optimization problem.The simulation results of a 10 unit system demonstrate the feasibility of the proposed method.It can compromise the primary energy consumption with the risk according to the decision-maker's will.This paper provides some valuable information in both operation and planning in future.