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Research On Multi-objective Optimal Operation Strategy Of Wind Farm Incorporated System

Posted on:2014-08-01Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y YangFull Text:PDF
GTID:2252330401957350Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
New energy has been developed very well because of the growth of the demand for electric power and the improvement of environmental protection consciousness. Wind power becomes the fastest developed power generation mode in renewable energy with good development prospects because wind power technology has been basically mature and its economy has already been close to conventional energy. With the constant expansion of wind farm merged into grid, the impact of wind power output’s intermittent and volatility on system operation is more and more obvious. This is the most important factor restricting the development of wind power. In order to use of wind power fully and effectively, it is necessary to do research on the optimal operation strategies of wind farm incorporated system.The optimal operation strategies of wind farm incorporated system are studied in this paper considering the characteristic of wind power and the requirements of optimal operation. The dynamic economic dispatch model of wind farm incorporated system considering environmental protection is established. The up spinning reserve and the down spinning reserve constraints considering wind power prediction error are included to deal with the influence of wind power’s prediction error on ED. Taking the IEEE30-bus system for instance, the rationality of the ED model is verified. The optimal power flow model of wind farm incorporated system considering operation risk is established. The model consideres the positive and negative rotation reserve constraints and other safety operation constraints. Taking the RTS-79system for instance, the feasibility of the OPF model is proved.Dynamic economic dispatch and optimal power flow calculation in power system are both high-dimension, none-convex and multi-constrained optimization problems. Two improvement strategies are introduced to improve the optimization ability of differential evolution for multi-objective optimization. The algorithm is used to find the Pareto optimal solutions of the example calculation in the dynamic economic dispatch and optimal power flow. The results of simulation example show that the algorithm in this paper has efficient optimization ability.
Keywords/Search Tags:wind power, optimal operation, operation risk, economic dispatch, optimalpower flow, differential evolution for multi-objective optimization
PDF Full Text Request
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