Reconfiguration Of Distribution Network Based On Ecology Evolutionary Algorithm Of Food Chain

A new distribution network reconfiguration method employing ecology evolutionary algorithm of food chain as optimal means has been presented. The algorithm, which simulates the competitive evolutionary approach of diverse stocks of ecological food chain and enhances the diversity of individuals and the levels of evolution, has a good overall and local search capability and overcomes the immature convergence of some other bionic algorithms. According to the characteristics of distribution network, a real number encoding method is proposed for reducing the dimension of decision variable. On the basis of that describes the operating manner of switches in four states of open, close, incident close and long-term close, the incident close manner of switches is further divided into direct incident close and indirect incident close, and the different measure is taken to ensure that all the found solutions in iterative process meet the requirements of radial network and non-isolated island. Crossing Node extraction is made to check the variety of complicated situation of need indirect incident close. Encoding method and operating manner of switches are combined organically to avoid unfeasible solution appearing in the optimization process, to improve the efficiency of the search algorithm. To verify the effectiveness of the proposed method, comparative studies are conducted on IEEE 16 bus, IEEE 33 bus and IEEE 69 bus sample systems, and rather encouraging results are attained. IEEE16 test system is improved to dynamic load. On the basis of In-depth analysis to distribution network static reconfiguration, dynamic reconfiguration of the distribution network is discussed with the dynamic system.