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Differential Evolution Algorithm For Solving Dynamic Economic Dispatch Considering Wind Power Penetration

Posted on:2011-06-17Degree:MasterType:Thesis
Country:ChinaCandidate:S XiaFull Text:PDF
GTID:2132360305453132Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Dynamic economic dispatch (DED) is a high-dimensional, non-convex, multi-constrained optimization problem. With the increase of wind power in power systems, DED problem becomes more difficult. In the mathematical model, both the ramping constraint of wind farm output and the constraint of spinning reserve are proposed to deal with the fluctuation and randomness of wind power. In the power system with large-scale wind farm, wind power should be limited according to the maximum reserve capacity. To improve the searching capability of binary differential evolution (BDE) algorithm, sharing fitness and adaptive control parameters are adopted. At the same time, some new strategies for constraints are used, which can make all the particles feasible and the searching efficiency is greatly improved. The method presented proves to be fast and effective by some examples.
Keywords/Search Tags:wind power, dynamic economic dispatch, differential evolution algorithm, improved methods, modification strategies
PDF Full Text Request
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