Low-carbon And Emission-reduction Of Multi-objective Dynamic Unit Commitment Optimization With Wind Power

The traditional unit commitment was what each unit pre-arranged in a scheduling cycle start-stop state and output distribution,so as to achieve the lowest economy optimal target like the lowest coal-cost and so on.The concept of low carbon emission reduction gradually deeply into all walks of life results from the a large series of pollution pollution problem which from huge coal and other fossil energy consumption.The new energy power generation technology with low pollution,low consumption,renewable began to widely applied to the production of electric energy and the wind power is a typical representatives.As the randomness and fluctuation characteristics owed by all new energy,then the wind power accessing will certainly result in uncertainty influence of unit commitment.So,the study of how to deal with the unit commitment with the wind farm problem has very important practical significance.Firstly,paper describes the research-background and significance of the topic,introduce the development of wind power industry and the traditional unit commitment,summarize the wind wind power resources in China;then take deeply analysis to the unit commitment study situation of both domestic and overseas from the wind power uncertainty in power system,method of modeling and solution of unit commitment with wind-farm problem these three aspects;on this basis,paper took a short-term wind speed forecasting by using a fact wind farm 29 day wind speed data as training samples,and made the simulation wich predict the wind speed for 48 hours based on support vector machine.In order to differ the traditional single target unit commitment problem,introducing the concept of low carbon reduction and pollution emissions to construct multi-objective function with CO2 and SO2 minimum,and described in detail to the mathematical concept of multi-objective optimization and Pareto optimal solution;in many developed modern intelligent-algorithm wich for solving multi-objective problems,NSGA-II algorithm was very representative and superiority.Paper described in detail the solution process of the algorithm,and cross by three classical multi-objective test functions to verify the performance of algorithm.Paper propose the improved NSGA-II algorithm solving strategy by two-layer optimization for with mixed integer variables and time coupling characteristics in multi-objective unit commitmentproblems,self nested invocations in algorithm,fuzzy decision to take priority to solve the optimization problem.By constructing model that multi-objective unit commitment with wind farm,took a simulation analysis for 24 hours periodic scheduling of the system that composed of 10 units and wind farm,verify the feasibility and effectiveness of the method wich solved the problem by compare the solve the target value between different schemes.In this paper,the math-model and solving-strategy were based on the actual production of power generation,it has a certain practical value and guiding significance.