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Research On The Loss Of Distribution Network In Yu Xi District Based On Neyman

Posted on:2017-04-24Degree:MasterType:Thesis
Country:ChinaCandidate:J L LiuFull Text:PDF
GTID:2272330503479808Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The lexicographically stratified method for multi-object optimal electric power network planning is presented according to the problem encountered in the research on multi-object electric power network planning. It can greatly reduce the quantity of calculation and avoid the difficulty of dealing with the multi-object functions. The improved model of optimal load curtailment is also presented to make the calculation of cost of outage easier than the old ones. It benefits the changing from reliability index to economic index.Renewable energy, can effectively solve the energy depletion and environmental pollution problems, distributed generation sources of energy is renewable energy. This chapter describes the distribution system and the kind of distributed generation, power distribution system also outlined the advantages and disadvantages associated with various characteristics of renewable energyThe method using the forward and back to get the solution of the power flow,combined with the basic principles of particle swarm algorithm AFSA, to determine the best location for the size and capacity of distributed generation, power distribution feeder system for restructuring proposed improved heuristic algorithm to determine the switch state distribution system for distributed power distribution network coordination with excellent operational problems, analyze the distribution network reconfiguration, network of distributed power loss and power allocation between economic, reaching feeder loss and minimize cost.The establishment of a distribution network reconfiguration and optimization of distributed power to run the model. distributed power generation costs and the cost of the call active load combined costs as the objective. Finally, to verify the validity of the proposed method with IEEE 33 bus system.
Keywords/Search Tags:Distribution network, Grid planning, Neyman Distribution, Generation loss
PDF Full Text Request
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