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Distribution Network Reconfiguration Based On Optimized Quantum Particle Swarm Optimization

Posted on:2019-12-27Degree:MasterType:Thesis
Country:ChinaCandidate:M Q XieFull Text:PDF
GTID:2382330545957673Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
With the development of society and economy,the demand for electricity from users has been increasing,and the network structure of distribution networks has become increasingly complex.As the distribution network is mainly dominated by overhead lines and there are many branch lines,its failure rate and line loss rate are high and the power quality is poor.The distribution network reconfiguration can effectively help the power system maintain a safe and economical operating state.On the one hand,it can effectively reduce the network loss of the distribution network and improve the economical operation of the distribution network.On the other hand,the distribution network reconfiguration can also play an important role in balancing load,eliminating overload,and improving power quality.Distribution network reconfiguration as a NP problem in power systems is a nonlinear,multi-objective combinatorial optimization problem.In this paper,the quantum particle swarm optimization algorithm and gravitational search method are introduced.Since the quantum particle swarm optimization algorithm is relatively simple and can converge to the global optimal solution,it is difficult to achieve ideal optimization results in discrete space.Gravitational search method is easy to fall into local convergence due to parameter setting and other reasons,but its calculation ability is strong and its convergence speed is fast.This paper introduces the optimization steps and flow of the quantum particle swarm optimization algorithm and the search steps of the gravitation search method,and analyzes the basic principles and advantages and disadvantages of the two methods.Therefore,this paper combines these two algorithms to form a new hybrid algorithm.While improving the convergence speed,this hybrid algorithm guarantees a global optimization and a wide range of applications.Based on the analysis of the power flow calculation method and the characteristics of the distribution network network structure,Through the analysis of the power flow calculation method and mathematical model,the radiation type judgment basis of the distribution network is introduced.This paper adopts the method of stratified zoning and forward-coming generation to calculate the power flow of the distribution network.The basic principles of the two algorithms are further studied.The hybrid algorithm used in this paper takes the minimum network loss as the objective function,and reconstructs the IEEE33 node distribution network system and the US PG&E69 node distribution network system,and applies it to other algorithms in the distribution network reconfiguration.The comparison of the effects shows the superiority of the hybrid algorithm used in this paper and the feasibility in the actual operation.It can effectively reduce the network loss and improve the stability of the power grid operation.
Keywords/Search Tags:distribution network, distribution network reconfiguration, quantum particle swarm optimization algorithm, gravitational search method
PDF Full Text Request
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