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Performance Analysis Of Coupling Power Grid And Transportation Networks Under Complex Network Theory

Posted on:2021-02-09Degree:MasterType:Thesis
Country:ChinaCandidate:J PanFull Text:PDF
GTID:2492306305953979Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
Due to the advantages of low-carbon environment,lower use cost,simple maintenance,electric vehicles show a good momentum of development。Electrified transportation network is forming gradually.This makes the connection between the power network and the transportation network more closer.Electric vehicles is a bridge between the energy flow of coupling network.Due to the uncertainty of driving behavior,the charging location and time affect the road condition around stations,and increase of power grid voltage deviation,so far as to unforeseen impact on coupling network.Therefore,it is necessary to study the coupling network performance of electric traffic,and put forward reasonable methods to ensure safe,stable and economic operation of power grid and smooth traffic network.First of all,most studies have been conducted on the impact of ev charging behavior on single-stage network,while ignoring that ev charging behavior lead to the energy flow between multiple networks.Therefore,a performance analysis model under the spatio-temporal characteristics is proposed.Through the complex network theory,the power network and the transportation network are modeled,and the spatial-temporal characteristics of evs in the network are analyzed.The energy flow mode of charging behavior is studied,and the energy flow architecture is established.In order to reduce the impact of ev network on the coupling network,the random charging model and the optimal time distribution charging model are respectively.Monte carlo method is used to simulate the spatial-temporal characteristics of evs in the coupled network,then a reasonable random charging model is established.Through the improved algorithm,the network performance index is optimized,the charging time is planned reasonably,and the optimal charging time distribution model is established.The influence of energy flow on coupling power network under two charging models is studied.By analyzing the characteristics of IEEE-33 node distribution network model and electrified traffic network,the coupling network model is established.Based on this model,the influence of the energy flow model on the coupling network is simulated and compared.The experimental results show that compared with uncontrolled random charging model,power grid voltage deviation is small by the optimal charging time model,traffic of charge nodes in the network more evenly split in each period of time.This can make the coupling network more secure,stable and economic operation.
Keywords/Search Tags:power network, electrified transportation network, electric vehicles, wolves algorithm
PDF Full Text Request
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