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Study On Siting And Sizing Of Distributed Generation Based On Multi-objective Optimization

Posted on:2016-06-02Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y FengFull Text:PDF
GTID:2272330470474872Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With more national attention to renewable energy and the increasingly serious environmental pollution problems,the distributed generation has been widely used as it has clean, environmental protection, flexible and many other advantages, and plays an important role to improve the efficiency of the power system environment benefits.Reasonable power grid planning can make the grid structure more reasonable and the reliability of the power supply higher,in order to achieve the goal of the sustainable development in the region.Firstly,the paper introduces the research background and significance of the planning of distribution network with distributed generation, the research status of distributed generation planning at home and abroad, different types of distributed generation technology, the impact on power system planning, the location of distributed generation in distribution network planning and classify the mathematical models that suitable for distribution network planning.Secondly, for the problem of the location and capacity of distributed generation,this article has presented a multi-objective planning for distributed generation,in which the environment benefit will be as one of the factors affecting in this paper.The minimal objective function which included power-purchase, operating expense, active power loss, power outage cost and penalties of equivalent carbon dioxide output was established.Thirdly,The proposed model is solved by improved genetic algorithm taking the IEEE-33 nodes system as an example. Finally, comparing the results of multi-objective optimization of distribution network with distributed generation in this paper with the calculation results without DG and the results using standard genetic algorithm(ga) and particle swarm optimization(pso) to concluded the feasibility and superiority of the algorithm in this paper.The calculation results demonstrates that the planning method is feasible and effective to solve the siting and sizing problem of the distributed generation.The investment returns and performance indicators of the distribution network can be improved, pollutant emission from plants can be reduced by using this method.There will be certain practical value in locating and sizing problem of distributed generation during the planning stage.
Keywords/Search Tags:distributed generation, siting and sizing, low carbon, genetic algorithm, Multi-objective optimization
PDF Full Text Request
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