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Research On Multi - Objective Micro - Network Cooperative Scheduling

Posted on:2016-07-29Degree:MasterType:Thesis
Country:ChinaCandidate:X G XuFull Text:PDF
GTID:2132330479492168Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the increasingly serious environmental pollution and intensified energy crisis,the distributed generation is get more and more attention. However, the distributed generation also brought a lot of problems. In order to solve the contradiction between the grid and distributed generation, we proposed the concept of Microgrid. Microgrid is composed by the load and micro power. The Microgrid technology can integrate a variety of distributed power and combines distributed power, power grid and users. The economic dispatch is one of the key technologies of microgrid. Microgrid promote micro-grid development and applications.This paper studies the economic dispatch of microgrid with multi-objective, the main contents are as follows:First, it introduces the basic concepts of micro-grid, including the definition and structure, mathematical model of microgrid and so on.This paper according to the principle of minimize the generation cost,emission cost and reserve capacity cost, a novel model environmental and economic dispatch of Microgrid was presented.The model is solved by iteration particle swarm optimization with time varying acceleration coefficients Finally, a calculation simulation proves that the model can make the Microgrid operation optimization more reasonable and reduce the generation cost,emission cost and reserve capacity cost, and the result also provide reference for the environmental and economic dispatch of the Microgrid system.This paper proposed a multi-objective economic dispatching model of Microgrid include of minimize generation cost,emission cost and power loss cost. Then detailed analysis of the variables and parameters of the model. Using a multi-objective particle swarm algorithm to solve the model. Simulation results show that the model can achieve higher reliability and environmental effects with smaller output costs. It also shows that the feasibility and rationality of the model algorithm.
Keywords/Search Tags:Micro grid, Economic dispatch, Envieonmental costs, Reliability, Multi-objective particle swarm optimization algorithm
PDF Full Text Request
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