Reconfiguration Optimization Methods Of Distribution Networks With Distributed Generators

Smart grid is the latest change trends of power system development in the today’s world, it was considered a major technological innovation and the development trend of the power system in the21st century. In construction of the smart grid, this requires that the grid can compatible with the ever-increasing distributed generation(DG). DG is a new power generation technology, it can effectively reduce the pollution of the environment, improve the economic efficiency of the grid, it is a effective way to improve the flexibility and security of modern power system. DG combined to the grid will produce a significant impact on operation, protection and control with distribution network system, distribution network reconfiguration is an important issue. Study of optimal network reconfiguration for the distribution system with distributed generators, it can security system safe and reliable power supply, reduce line losses, and give full play to the role of the DG, it has a major role and significance of distribution automation, and construction of the smart grid. The main work and research fruits are as follows:1. Study of the basic theory of Quantum-inspired Evolutionary Algorithm. On this basis, we proposed a Comprehensive learning Quantum-inspired Evolutionary Algorithm (CLQEA), CLQIEA by introducing the philosophy of comprehensive learning into quantum-inspired evolutionary algorithms. Extensive experiments carried out on knapsack problems with various items show that CLQEA outperforms several QIEAs recently reported in the literature.2. Research on Distribution Network Reconfiguration optimization model and optimization method, given the optimization model for distribution network reconfiguration, combined with the network layer structural characteristics to topology identification, and using the hierarchical back/forward sweep distribution load flow algorithm, through CLQIEA to efficient distribution network reconfiguration. And write a MATLAB program, IEEE-33node system and PG&E69node system for example to verify the effectiveness and feasibility of the method.3. Study of containing DG in Distribution System Reconfiguration optimization method, research on the influence to distribution system after DG combined to the grid, establishment the model of optimal network reconfiguration for the distribution system with distributed generators, Focuses on the analysis of DG to distribution network reconfiguration problem in different injected power and the different locations. Application of CLQIEA to search the optimal solution, discussed the changes network loss before and after the reconfiguration in the distribution network with DG, And write a MATLAB program, IEEE-33node system and PG&E69node system for example to verify the effectiveness and feasibility of the method.This work was supported by the National Natural Science Foundation of China (61170016) and the Fundamental Research Funds for the Central Universities (SWJTU11ZT07, SWJTU09ZT10).