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The Application of Genetic Algorithm with Adaptive Population Size in Distribution Network

Author: JinZuo
Tutor: HuangJiaDong
School: North China Electric Power University
Course: Proceedings of the
Keywords: Distribution Network Reconfiguration Genetic Algorithms Population size Adaptive
CLC: TM727
Type: Master's thesis
Year: 2011
Downloads: 54
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Abstract


The rapid development of modern urban power distribution network , the increasing complexity of network structure , the power supply has become tighter , user requirements of power quality and reliability of power supply has been increasing . Distribution network reconfiguration to improve the reliability and economy of the system running , with great economic and social benefits . In this paper, the comparative analysis of traditional genetic algorithm and population size adaptive genetic algorithm based on traditional genetic algorithm using a fixed population size which exist in the distribution network reconfiguration applications prone \proposed population size adaptive genetic algorithm for distribution network reconfiguration . This algorithm running process from both the macro and micro control population size , making the algorithm in each generation of the evolutionary process can adaptively adjust the population size , can effectively prevent the occurrence of the phenomenon of \In this paper, the minimum network loss goal to reconstruct the distribution network , and using loop - based coding strategy according to the structural characteristics of the distribution network , to avoid the generation of infeasible solutions in the initial population . Corresponding crossover and mutation operation to repair loop - based method and this process infeasible solutions to improve the efficiency of operations . In this paper, the reconstruction of basic steps and flowchart adaptive genetic algorithm based on population size and distribution network , using MATLAB software written procedures and using the IEEE standard example to verify the feasibility and effectiveness of the proposed algorithm . The example of the results showed that the population size adaptive genetic algorithm has better convergence performance than general genetic algorithm and global optimization ability .

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CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Transmission and distribution technology > The power grid
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