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The Research Of Urban Medium-Voltage Distribution Network Planning Based On The Ant Colony Algorithm

Posted on:2009-07-29Degree:MasterType:Thesis
Country:ChinaCandidate:J LuFull Text:PDF
GTID:2132360272985899Subject:Pattern Recognition and Intelligent Systems
Abstract/Summary:PDF Full Text Request
Distribution network planning is an important component of power system planning. The great economic and social benefits will be achieved by the aid of scientific planning and optimal power network investment decision. In order to supply abundant and high-qualified power to customers, mid-voltage (MV) distribution network planning needs to provide a powerful and flexible scheme based on the substation capacity and the load capacity. To sum up, distribution network planning is a nonlinear, multi-objective, multi-constraint optimal problem, and is associated with the radiate power line routing, network-loss and power supply reliability etc.After analyzing the radiate and connective characters of distribution network, this paper reformulates the existing Ant Colony Algorithm (ACA), on which a new approach for the MV distribution network planning applied in real streets is created.(1) The universality and flexibility of our developed software for distribution network planning is enhanced by combining the database design. So when any additional loads or street paths are encountered, our proposed approach can work well after slightly adjusting the related parameters.(2) Found on the specialties of urban MV distribution network, the ACA is reformulated including the state transfer principles, the pheromone initialization and pheromone update. The reformulated method can obtain a satisfied solution in extending searching scope and better computing speed for distribution network planning.(3) Using real streets as the basis of conceiving distribution network, a novel approach of urban MV distribution network planning subject to the radiate restriction is proposed. In this strategy, directive factor is introduced when the ant choices a street path that can improve the distribution network planning effectively. Different from the existing design which adopted the point to point way, our proposed distribution network planning method has much more meanings for actual planning work.Theoretical analysis and experiments show that our proposed method, which combines the directive factor with the ACA, can be applied to the practical situations, and contributes a better design to the urban MV distribution network planning.
Keywords/Search Tags:Distribution network planning, Ant Colony Algorithm, Pheromone, directive factor
PDF Full Text Request
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