Network Reconfiguration In Distribution Power System With Distributed Generations

With the concept of energy saving and sustainable development developed, distributed generations(DG) as the renewable energy have been paid more and more attention, which have broad prospects for development; network reconfiguration is one of the effective methods to make the distribution power system economic and safe. This paper describes the types of DG, analysis the influence of DG to distribution power system. And this paper gives a effective solution to the network reconfiguration for distribution power system with DG in order to achieve the purpose of reducing the network loss.In this paper, we simplify the DG and use different power flow model to different DG. We use a hierarchical encoding based on loop and introduce the tabu criterion, which can greatly reduce the probability of feasible solution and improve the efficiency of this algorithm.In this paper, we use a composite algorithm which contains the improved binary particle swarm optimization(BPSO) and genetic algorithm to search the best scheme of network reconfiguration. We classify the random particles according to the fitness variance,use different evolutionary strategies for different types of particles and use the corresponding dynamic inertia weight to improve the convergence speed; as well we introduce the mutation of genetic algorithm in order to overcome the precocity of PSO and make the composite algorithm converge to the global optimal solution in a higher probability.As load and DG output is changing continuously in the real distribution power system with DG, so we build a network reconfiguration model in which three kinds of load mode is considered. By doing this we can simulate the output change of the load and DG. For each load mode we make a network reconfiguration and obtain the corresponding scheme, then compare the comprehensive network loss of every scheme. By doing this we can make the scheme closer to the reality.According to the simulation of the IEEE-16 nodes distribution power system with DG and IEEE-33 nodes distribution power system with DG, we verify the correctness of the proposed algorithm. And this composite algorithm may in effect solute the network reconfiguration problem for distribution power system with DG.