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Research On The Technology Of Power Supply Capacity Improvement Of Active Distribution Network

Posted on:2019-03-23Degree:MasterType:Thesis
Country:ChinaCandidate:C S YongFull Text:PDF
GTID:2392330623462402Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the gradual advancement of coal-to-electricity,electricity substitution,and new electricity reform policies,renewable energies are developing rapidly and user loads are gradually participating in the regulation of the power grid.However,the large amount of renewable energy sources access to the distribution network the distribution network,and the concentration of electric vehicles in the distribution network have brought many problems to the distribution network.To cope with these problems,the active distribution network(ADN)technology comes into being.However,the power supply capability analysis in the context of the existing active distribution network is insufficient,including how to calculate the power supply capacity and the power supply control strategy under the active distribution network.In addition,the impact of uncertainty in the ADN is ignored.In order to compensate for the shortcomings of the existing researches,this paper analyzes the characteristics of the source-network-load of the ADN,and studies the power supply capacity and the power supply control strategy of the ADN under the coordination of the source-network-load.The main contributions are as follows:(1)The ADN control strategy based on source network load coordination optimization is studied.The characteristics of source network load in ADN are analyzed and the corresponding solution model is established.The uncertainty of the renewable distributed power supply and the demand side load response are considered.(2)Aiming at the power supply capability evaluation under the background of controllable source-network-load in power system,a multi-objective power supply capability evaluation method for active distribution network considering the active control cost is proposed.Firstly,the uncertain factors such as renewable distributed generations' output and demand response in power market are modeled.Then,the maximization of regional power supply capacity and the minimization of active control costs are taken as the optimization objective with the influence of uncertainty.Considering the constraints of distributed generations output ability,the network topology,load controllable levels,and so on,a multi-objective optimization uncertainty model for the active distribution network is constructed.In addition,the crossover operator and the se-lection strategy of NSGA-II are improved based on the non-uniform arithmetic crossover and phase-out strategy,which is used to solve the proposed optimization model.Finally,the effectiveness of the proposed evaluation method and the performance of improved algorithm are verified.(3)To solve the problem of source–network–load coordination scheduling,a multiobjective scheduling model for the ADN is proposed in this paper.The operating cost,renewable energy utilization rate,and user satisfaction are considered as the optimization objectives,and the distributed generation output power,switch number,and incentive price for the responsive load are set as the decision variables.Then the probabilistic power flow based on Monte Carlo sampling and the chance-constrained programming are used to deal with the uncertainty.Moreover,the reference point–based many-objective evolutionary algorithm(NSGA3)is used to solve this nonlinear,multiperiod,and multiobjective optimization problem.The effectiveness of the proposed method is verified in the modified IEEE 33-bus distribution system.
Keywords/Search Tags:Active distribution network, Power supply capability, Distributed generation, Network reconfiguration, Demand-side management, Multi objective optimization, Uncertainty
PDF Full Text Request
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