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A Research on Modifying Parthenon Genetic Algorithm-Based to Carry out the Reconstruction of Distributing Network

Author: ZhuGuangPing
Tutor: WangTongQing
School: Chongqing University
Course: Precision instruments and machinery
Keywords: Distribution Network Reconfiguration Genetic Algorithms Single parent genetic algorithm Reliability
CLC: TP18
Type: Master's thesis
Year: 2008
Downloads: 81
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Abstract


Distribution Network Reconfiguration is normal or abnormal operating conditions by changing the state of the switch of the switch to change the topology of the network . With the conduct of urban and rural power grid construction and transformation of urban power grid network degree is getting higher and higher , running more and more flexible way , as with human experience has not well managed and reconstruction of a modern distribution network Thus the automation of the distribution network is mentioned in a very important position . In recent years, with the development of the means of communication and computer technology , the level of distribution automation has made ??great progress . Traditional distribution system planning requirements for a year or a quarter once network reconfiguration , however , on the one hand, due to the dynamic characteristics of the load , on the other hand in order to make full use of the distribution network reconfiguration , real-time distribution network reconstruction potential in must be carried out to study the real-time reconfiguration of distribution network with potential significance of . The purpose of this research is to explore a new distribution network reconfiguration algorithm - Fixed single parent genetic algorithm ( PGA ) , the operator or the system can the reference algorithm results switch operation , greatly improving the efficiency and quality of operations , resection supply failure and recovery time is greatly reduced , greatly improving the reliability of power supply . This article first study to learn the theories and methods of the previous Distribution Network Reconfiguration , then select the operator to make improvements , elitist strategy selection method and the combination of the two competing early adoption in single parent genetic smaller gene recombination rates , so that the individual search of a small area in their own area , so that the groups converge to achieve the optimal solution , the best individual to maintain the minimum number of iterations as termination criteria for the convergence criteria , take full advantage of this convergence criteria accumulation of knowledge in the process of evolution of a single parent genetic algorithm , the number of iterations than conventional maximum single-parent genetic criterion is more reasonable iteration time is shorter , easier operation . By a numerical example shows that the The PGA algorithm has high computational efficiency , the study method is feasible and effective , and has some practical value .

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