Annealing Algorithm Based On Clonal Genetic Distribution Network Reconfiguration

Distribution network system is an important part in power system which connect power production to consumer. Distribution network reconfiguration is an important aspect of distribution network system automation and optimization. The aim of reconfiguration is that it has big economy and society benefit for enhancing system's security and economy and reliability by changing the open/close status of the tie and subsection switches under both normal and abnormal operating conditions.Firstly, it analyses the significance, some common objective functions and the research actuality of the distribution network reconfiguration in this paper, and it expatiates the forward/backward sweep method for distribution network power flow calculation, it lays the foundation for the next step of the research.Then it discusses the principium of the Genetic Algorithm(GA), Simulated Annealing(SA) and Clonal Genetic Algorithm(CGA), proposes the Clonal Genetic Simulated Annealing Algorithm(CGSA), which combines CGA and SA, and put the Metropolis sample rule of the SA into the CGA, so the generated chromosome of CGA will be more and more excellent and it can be convergented quickly, simultaneously it cannot fall into to local optimal solutions, it not only combines the advantages of the newly CGA and the traditional SA, but also can offset the disadvantage of a single algorithm.An optimization model of distribution network reconfiguration is established, in which the minimum network loss is taken as objective function, the restrictions to the decline of voltage and current are taken as constraint conditions. Based on the features of distribution network, the CGSA is used in 2 distribution network examples for reconfiguration. Reconfiguration results show that the algorithm is efficient and practical.Finally, it discusses the CGSA which is used in distribution network fault service restoration reconfiguration, takes the maximal number of interrupted customers, the minimum network loss and number of switching operations as objective function, it is applied in a distribution network example for multi-objective fault service restoration reconfiguration. Besides, a distribution network reconfiguration experimental device is developed, which using low voltage components is the realistic simulation of high voltage distribution system. It can simulate practical problems in the distribution system, such as overcurrent, overload and network loss, and achieve distribution network reconfiguration with best reliability, minimization network losses and so on. It will provide a reliable platform to the study of distribution network reconfiguration and the achievement of the relational data.