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Multi-Energy Coordination Assessment Of The Smart Grid

Posted on:2017-05-02Degree:MasterType:Thesis
Country:ChinaCandidate:L LiFull Text:PDF
GTID:2272330488483566Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In recent years, with the haze problem intensifying, and the development economic entering the condition of "new normal", China is facing an increasingly urgent pressure from environment and economy. The distributed generation, such as wind power, photovoltaic and cooling-heating-power which have the advantages of green, efficient, flexible and close to the users, has been receiving an increasing attention. With the rapid development of smart home, electric cars, mobile Internet, smart meters and other technologies, The demand-side resources play an important part in the energy conservation and emission reduction of the power grid. Nonetheless, the interconnection of distributed generation and demand side resources will bring a lot of challenges, such as large random fluctuation of output, high of difficulty of adjustment, low level of interaction. In view of this, China has established a number of smart grid demonstration projects to explore how to use multi-energy to protect the power supply and provide quality services. Thus, it is necessary to establish multi-energy coordinate evaluation system of the smart grid to evaluate the demonstration, using these efficient, green and economic energy to provides users with the best energy experience.Firstly, this paper analyzed the advantages and disadvantages influence on the power grid by the distributed energy resources integration and demand side resource transfer in terms of economy, environmental protection and reliability. And it introduced the main technology of distributed energy resources integration on smart grid. Then, the evaluation index system of multi-energy coordinate smart grid including economic and environmental protection, safe reliability and interactive efficiency is preliminarily established. And it considers the influence of practicability and scientificity. Furthermore, the indicators are empowered by triangular fuzzy AHP, variation coefficient method and gray correlation weighting method, respectively. And the multi-objective optimized combination weighting mode is build based on the maximum entropy and the minimum distance to the ideal point. Finally, the effectiveness of assessment Model is verified through the evaluation of the three actual smart grid demonstration projects, and the evaluation results are analyzed in this paper.
Keywords/Search Tags:smart grid, multi-energy coordination, combination weight, comprehensive evaluation
PDF Full Text Request
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