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Research On Optimal Allocation And Fault Restoration Of Distribution Network With DG

Posted on:2017-03-04Degree:MasterType:Thesis
Country:ChinaCandidate:S C ChenFull Text:PDF
GTID:2272330488460426Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In recent years, with coal, oil, natural gas and other non-renewable energy sources depleting and people continue to strengthen the awareness of saving energy make scholars studying on wind, solar and other renewable energy distributed generator(DG)technology.But distribution network with DG makes network topology structure and mode of operation have undergone a great change, and the impact of different power distribution system of producing location and capacity of DG is unpredictable. For example, reducing system power loss, and may also reduce the system voltage stability, so a reasonable position and capacity of DG is particularly important.To study distribution network with DG, the improved IWOPSO is used to determine distribution network access number of DG and size of optimal allocation of capacity. And because of modern power system reliability, economy and safety and other aspects of the increasingly, so when the power distribution system containing DG fails, how to ensure continued supply of critical loads and rapid non-power failure region to restore power is an important subject of research.This paper analyzes the advantages and disadvantages of invasive weed optimization algorithm(IWO) and particle swarm optimization algorithm(PSO) based on the respective advantages of the combination of fusion and chaos concept proposes an improved hybrid algorithm, the algorithm can not only improve the mixed global optimization capability but expand the population diversity, and through the test function to verify the validity and superiority.Then distribution network losses and voltage stability as the objective function of the mathematical model, the improved hybrid algorithm applied to the power distribution system with DG,determining the locating and sizing optimization process of DG, and then through the network loss and the node voltage distribution curves were analyzed to verify the rationality and effectiveness of the proposed algorithm.Finally, power distribution network comprising a fault recovery strategy with DG,divided into islands, and reconstruction of the distribution network based on improved IWOPSO.Based on the first phase of the depth-first algorithm divided island, ensure the islands near the important load DG continuous power supply after power failure,which improve system reliability and security of supply.The second phase of the establishment of a multi-objective optimization mathematical model, the improved hybrid algorithm is appliedto the distribution network to quickly restore power outage non-fault region after failure,and the IEEE33 node distribution system is made as an example, the simulation results show that the hybrid algorithm can effectively solve the fault restoration of distribution network with DG.
Keywords/Search Tags:distributed generator, distribution network reconfiguration, invasive weed optimization algorithm, particle swarm optimization algorithm, depth first search, divided island
PDF Full Text Request
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