Study On Multi-objective Optimization Dispatch Of Wind Energy Integrated Power Systems

With the depletion of fossil energy and the increase of the environment pollutionproblem, development and utilization of clean and green wind energy to generate electricityhas been an inperative trend. The large-scale integration of wind farms bring good economicbenefits and environmental benefits to the society, however, the randomness and fluctuationand non-schedulability of wind power makes the uncertainty characteristics of wind poweroutput. As a result, the large-scale integration of wind farms will bring a lot of problems toeconomic optimization dispatch and reliable operation of power systems. The economicoptimization dispatch issue in wind power integrated system have been investigated in thispaper.Firstly, this paper simply introduces three kinds mathematical model of electric powersystems optimization dispatch, considering the spinning reserve single objective optimizationdispatch model, the constraints of up spinning reserve and down spinning reserve areintroduced to deal with the influence of wind power forecast errors on economic dispatch ofpower systems, and the valve point effect is also considered in generating cost function.Considering the pollution emission of the power grid multi-objective optimization economicdispatch model takes into account not only the generation cost function, also taking intoaccount the objective function of environmental pollution, and then the economic andenvironmental dispatch optimization model for power systems with large-scale wind farms isformulated. Considering the reliability of the power grid multi-objective optimizationeconomic dispatch model in based on the first model and the second model, the economic andreliability dispatch optimization model for power systems with large-scale wind farms isformulated, meanwhile it is the main model in this paper.Based on considering the reliability of the power grid multi-objective optimizationeconomic dispatch model, the probabilistic density functions of load forecast errors and windpower output forecast errors are introduced to describe the uncertainty of wind power inpower systems, the spare costs which causes by the risk of wind power plan than the actualoutput too much or too little are also included in the economic objective function, thus thispaper tries to study the economic optimization dispatch model for power systems withlarge-scale wind farms.Finally, in order to validate the practicability of considering the reliability of the powergrid multi-objective optimization economic dispatch model, a Non-dominated SortingDifferential Evolution Algorithm which based on Non-dominated Sorting Genetic Algorithmand Differential Evolution Algorithm is proposed, and according to the defects of the Non-dominated Sorting Differential Evolution Algorithm is improved to solve the model. TheImproved Differential Evolution Algorithm(INSDE) has been tested on a six units, simulationresult demonstrate that the scheme of multi-objective optimization dispatch of wind energyintegrated power systems can be more comprehensive and reasonable, at the same time alsocan reflect the actual operation of the power systems of cost and reliability requirements.