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Research On Reconfiguration Of Distribution Network Containing Micro Grid Based On Ant Colony Algorithm

Posted on:2015-12-05Degree:MasterType:Thesis
Country:ChinaCandidate:X YangFull Text:PDF
GTID:2272330452463937Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Since the21st century, global energy crisis and environmental problems begin toappear, people pay more and more attention to new energy. Micro grid is an importantsupplement of centralized power grid, which can be regarded as distributionnetwork containing distributed generation, with higher self-control ability, so thatrenewable resources can be made the maximum extent of use. Compared with the powergrid, micro grid is a controllable unit, but for users, it maximally guarantees the powersupply, and reduces the operation cost. Due to the access of distributed power supply,distribution network becomes an active network from a passive network, so that theoriginal distribution and the trend of network loss get changed, which contribute greatinfluence on the safety and economic operation of power distribution system. Throughoperation of distribution circuit breaker, grid reconfiguration can effectively reduce thenetwork loss and improve the voltage quality, which in all improve the reliability of powergrid operation and economy. Therefore, how to reconfigure the micro grid, has importantpractical significance on safe and economic operation of the micro grid system. In thispaper, distributed power network access and reconfiguration are studied, the main researchwork is as follows:First, several widely used distributed generation and artificial intelligence algorithmsare introduced, and the characteristics of distributed power supply and advantages anddisadvantages of artificial intelligence algorithms are analyzed as well.Second, a method to simplify the distribution network is introduced, andNewton-Raphson method is used to make the basic flow calculation, in whichIEEE33nodes standard system is taken as an example. The results shows theeffectiveness of this algorithm.Third, the related literatures are studied to summarize the influence when distributedpower distribution network accesses. The influence mainly focuses on the network lossand power quality, the relay protection and the influence of power grid planning, etc. Dueto the characteristics of distributed power supply in the micro power grid, the traditional power flow calculation method is not applicable, the characteristics of different distributedgeneration should be taken into account to establish proper flow calculation model. In thispaper, the capacity of the distributed generation and access location are set out to makeanalysis. IEEE30and IEEE34node standard system are used for typical analysis.Finally, the basic principle of ant colony algorithm is introduced on the backgroundof TSP problem. The detailed process of how the ant colony travels to form anoptimization tree structure during grid reconfiguration is presented in the process of antcolony traversal tree, the minimum network loss and load balancing as the objectivefunction for network reconfiguration of distribution network model is established as well.IEEE33node standard system is used in network simulation and modeling. The simulationresults demonstrate that the algorithm is correct and shows the feasibility of the method.
Keywords/Search Tags:Distribution network, Network reconfiguration, Ant algorithm, Distributed generation
PDF Full Text Request
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