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Research On The Multi-period Dynamic Reconfiguration Of Distribution Network Considering Demand Response

Posted on:2018-11-29Degree:MasterType:Thesis
Country:ChinaCandidate:L J QiFull Text:PDF
GTID:2322330542456765Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The load changes dynamically with time in the actual operation of distribution network,which leads to the change of distribution network operation state.In order to ensure the safe and economic operation of power system,the dynamical optimization of distribution network operation mode is needed.In recent years,our country is gradually implementing TOU.TOU is used to guide users to participate in power market by electricity price and to maintain the safe and reliable operation of distribution network.The intelligent and real-time operation of distribution network is strengthened with the continuous improvement of smart grid construction and the universal application of distribution automation equipments,such as intelligent switch,smart meters and so on.It provides the technical basis for dynamic optimization of distribution network.Therefore,this paper studies the dynamic reconfiguration of distribution network based on the demand response of users to TOU.First,this paper studies the demand response to price incentives for different user types.This paper compares the demand before and after the load curve response analysis to prove that the demand response can improve the reliability of distribution network operation,reduce power loss and achieve the preliminary optimization of network running without changing the network structure.Then,this paper considers how to change the grid structure by distribution network reconfiguration,and realize the optimal operation of distribution network.Aiming at the shortcomings of the existing static reconstruction algorithm,an improved multiobjective binary particle swarm optimization algorithm whose bjective function includes the lowest network power loss rate,the minimum node voltage offset,and the minimum switching operation is used to multi-target static reconstruction.Some reconstruction schemes that meet the requirements of the objective function can be obtained at one time by Pareto multi-objective optimization method.In this paper,we design the comprehensive evaluation model to sort the plan according to the needs of the decision maker,and choose the optimal scheme which accord with the needs of the decision maker.In addition,through the improvement of the coding rules and the basic parameters of the algorithm,the convergence speed of the algorithm can be improved,and the search results can be achieved quickly.Finally,on the basis of the load curve after the demand response,a dynamic reconfiguration algorithm is proposed,which is based on the lowest cost of network operation.In this paper,we use the dynamic link between the loss reduction effect and the number of switching operations to optimize the reconstruction time period for the second time,avoiding the reconstruction of multiple times in a short time to reduce the reconstruction cost and operation difficulty.The dynamic reconfiguration problem is decomposed into a series of static reconstruction problems,which can effectively solve the problem of when and where to carry out the distribution network reconfiguration.Regarding the IEEE33 node distribution network as an example to do the power flow calculation,the results show that the reconstruction method has better global optimality,practical value,and certain theoretical significance and practical value for the construction of the safe,economical and reliable distribution network.
Keywords/Search Tags:Demand response, TOU price, Distribution network reconfiguration, Binary particle swarm optimization, Multi-objective optimization, Time division
PDF Full Text Request
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