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Energy-saving Diagnosis Research Of Dedicated Users Based On Demand Side Management

Posted on:2017-01-18Degree:MasterType:Thesis
Country:ChinaCandidate:C X ZhuFull Text:PDF
GTID:2272330485478458Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Demand side management (DSM) can enhance both the flexibility of load response and interaction between power suppliers and users, as well as reduce peak demand and make the whole system more efficient and reliable. Meanwhile, DSM can balance demand side with supply side more effectively and save power by improving energy efficiency and optimizing the resources, finally, achieve the purpose of saving energy. Industrial users consumed most electricity from power grid, so energy-saving reconstruction research for dedicated users under the framework of DSM can supplement DSM with a microscopic aspect and has great contribution for building a clean, low carbon, efficient modern energy system to a safe and resource-saving society.A comprehensive research on the background, histrioy and current ststus of domestic and foreign DSM and dedicated users in energy-saving reconstruction were made. The artificial intelligence theories and the main content of demand response (DR) were analyzed. DR is the most economic part of DSM and would be classified into three types based on evolutionary algorithms, artificial neural network (ANN) and multi-agent system theories. Classified DR technologies have diffirerent impact and effect in enerey-saving. Simulation models were built by Gridlab software and the results show that DR had positive impact for energy-saving management.The basic technology and theoretical formulas of dedicated users in energy-saving diagnosis were analysed, including:Fourier transformation for data acquisition and processing, relatived electric power parameters, main electrical equipment such as transformer and eleetrict motor.etc. with energy-saving technologies. Relevant processes and equipment requirements for dedicated users in energy-saving diagnosis were illustrated. On this basis, energy-saving diagnoses were made for the dedicated user entrpraise A, electrical parameters and related information were measured in scene. The final energy-saving proposal was determined by parameters analysis, theoretical calculation and energy efficiency assessment. The economic benefits of the proposal proved the validity and feasibility of the energy-saving diagnosis model, which can be used and popularized in the practical projects.With the energy-saving diagnosis case and DSM progress status in our country, a few suggestions were proposed to supply and enrich the connotation of DSM from a microscopic aspect. As an implemented subject, power supply enterprises can improve their management mechanism and enhance the DSM services to promote dedicated user with the energy-saving diagnostic work.Meawhile, Energy management system and efficiency evaluation system should be built for enterprise, and energy efficiency management results should be indexed performance assessment in stuffs.
Keywords/Search Tags:Demand Side Mariagement, Demand Response, Artificial Intelligence, Dedicated User, Energy-saving Diagnosis
PDF Full Text Request
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