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Optimal Scheduling For Distributed Energy Resource

Posted on:2011-06-14Degree:MasterType:Thesis
Country:ChinaCandidate:W YangFull Text:PDF
GTID:2132360308473721Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Distributed Generation (DG), Such as photovoltaic power and wind power, have the advantages of clean non-polluting, and is one important way of solving energy and environmental issues in the future. The distributional electricity resources (DER) and the load can be seen as a controlled system, forming a regional MicroGrid (MG). Such idea has achieved a higher penetration goal of uncontrollable DG,and so greatly promoted the development of DG. At present MG is regarded as the future direction for the development of smart power grids worldwide. The research on the models, scheduling strategies and algorithm of distributional generation system energy optimal management is helpful to improve economy and the efficiency of the system, to reduce CO2 emissions, to improve the offering of custom-made electrical utility service.Economic operation is one of the key factors whether MG can participate in market competition. The component models of MG have been carried out a great deal of research work, but system optimization for MG has not been comprehensively investigated yet. This paper adopted the idea of centralized hierarchical control, based on the analysis of generation characteristics for wind turbines, photovoltaic system, fuel cell, diesel generator etc, and built steady-state calculation models of several distributed energy resource, explored characteristics of grid scheduling. Based on interconnected and isolated mode with grid, energy optimal management models and scheduling strategies of MG have been proposed, and an advanced genetic algorithm has been used to solve these models for minimum operating cost, greatest environmental benefits and best comprehensive benefits. Operation modes of MG, the competitiveness of renewable sources, market policies factors and demand-side managements have been focused on for energy optimal scheduling results. A relevant example ascertains the feasibility of the models, strategies and algorithm.Relying on Hefei University of Technology Laboratory of Distributed Generation, adopting the idea of centralized hierarchical control, this paper develops the preliminary the MicroGrid Energy Management System (MG-EMS).The structure of the designed MG laboratory can be changed freely according to the experimental needs, in order to study MG interconnected and islanded operation, the role of energy storage unit, and so on, four kinds of typical MG-EMS hardware structure are proposed. Conforms to international standards such as IEC 61970,a software supporting platform for MG-EMS has been designed and developed, using some advanced technologies such as CORBA, Integrative Graphic Model Library, ActiveX. The software platform mainly includes distributed network communication layer, database layer and public services layer. Considering the characteristics of MG, this paper presents the design methodology of the advanced application softwares, which have been developed partially. The accuracy of the supporting platform and related advanced applications software are verified by normal operation of some MG subsystems. The experiment and its result have laid a solid foundation for the MG follow-up theory research and engineering practice.
Keywords/Search Tags:distributed generation, micrgrid, energy optimal management, genetic algorithm, dynamic programming, software supporting platform, advanced applications software
PDF Full Text Request
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