| Recently, the scale of new-style wind power plants with large capacity is increasing in the power system. But this situation brings in some disadvantages, such as a series of problems in the plan and optimal operation of the power system. Especially the uncertainty may cause the unsteadiness of the power system. Therefore, research on the optimal operation in the power system with wind power plants is very important. In consideration of the wind power's uncertainty, the fuzzy theory has been used in this dissertation for modeling and simulation, and this paper makes use of hybrid fuzzy-genetic algorithm to solve dynamic economic dispatch and AGC unit optimal operation in the power system with wind power plants. The economy and feasibility was verified in the improved sample in the dissertation.Firstly, a new mathematic model of the optimal diapatch strategy is presented. A object function is built by minimizing the total diapatch cost and the economic and security constrains from generators and power system are included in the model. At the same time, in order to solve the uncertainty of wind power forecasting of the optimal dispatch model, the model is changeed into fuzzy chance constrained programming model.Secondly, a fuzzy-genetic algorithm is adopted for obtaining the reasonable solution.Thirdly, in consideration of the wind power's uncertainty, the AGC capacity is determined by using a fuzzy number. At the same time, its Chance constrained programming model is been built and is solved by fuzzy-genetic algorithm reasonably.Finally, based on the research of optimal diapatch in the power system with wind farm, a system design scheme is present in this dissertation. |