The Application For Self-adaptation Parallel Evolutionary Strategies In The Reconfiguration Of Distribution Networks

With the development of urban electric wire netting, electric enterprises require higher and higher in mixing the dependability and economy of operation of power netwoks. In the power system , probably 5%-13% of the electric energy is wasted in the comprehensive line loss of the electric wire netting at all levels of distribution system in form with lost circuit, the line loss of the low-voltage distribution network in China (this text referred to 10 kV distribution network ) has taken very large proportion. So in recent years, the optimization which mixes the scheme of operation of power netwoks is being paid attention to China's pressing, on terms that press and mix dependability of operation of power netwoks while meeting, it is a subject for research that has economic benefits very much how to optimize and recombinate and reduce the line loss through network structure.From the point of view of mathematics, the distribution network constructs again and makes the question of optimizing up extensivly and non-linearly. Because distribution network construct variable of issue a lot of, restrain condition from to be complicated , with linear programming , dynamic planning mathematics optimize algorithm ask and solve again, usually face making the problem of exploding up .Evolve tactics (Evolutionary Strategies , abbreviate ES as, its main characteristic is that gauss makes a variation and the determinacy is chosen, proposed while studying the fluid motive force knowledge question in 1964 by Rechenbe. . Its appearance, has offered a strong tool for the fact that people solve the optimization problem of many variable and complicated functional relation, so it is widely applied to such respects as neural network , pattern process , pattern recognition , computer vision ,etc.Evolve calculation time of tactics depend on population count, roughly present the direct radio with scale of the system mainly, the index of such algorithms as this and dynamic planning ,etc. increases very big and different (?)U,Evolve tactics is it is it solve on a large scale mixing network construct the issue again to ask to suitable for very.Because of the above research current situation, this text has proposed the tactics algorithm runs side by side and evolves in a kind of self-adaptation; Decrease the network of mixing and construct the mathematics model again after studying the minimum network; Analyse and set up many population not to walk abreast model of evolving; Then applied this model to the distribution network and carried on emulation to verify. Mainly including work:1. Have proposed a kind of evolution model- the tactics run side by side andevolve in the self-adaptation The basic thought stems from biological knowledge. Biology go to, manycommunity that population make up can utilize environmental resources , keephigher productivity , have a stability than single population community lastingeffectively. Moreover, because the gene part hunting zone is big in manypopulation's evolution course, the change of adaptation natural environment that it can be better, regulates oneself. Just because of this, this text is it is it is it change the thought combined together with adaptive parameter to evolve to walk abreast many population to put forward.2. Carry on the research of a certain degree to the network mathematics model of the distributionIt is under the satisfied safe and reliable prerequisite of supplying power that the distribution network constructs again, through changing the switch state in the network, namely choose different power supply routes , the sum that the comprehensive network decreases is minimum when reaching peak load and minimum load. For is it mix network construct issue again , this text design a typical one keep the distribution network to prove, and provide the mathematics model according to this distribution network.3. The model runs side by side and evolves from many populations setting up distribution network and constructing againEvolve and calculate that has already succeeded and implemented in the planning and operation of network of transmitting electricity, need on the basis of application of the distribution network to optimize and functioning . This text turn on according to distribution network ring operate demand this , for accelerate speed of evolving just, is it evolve many population tactics apply to distribution network is it pay to construct again to walk abreast.Finally, this text made the summary and looked into the distance to the work made and further direction of studying.