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Research On Load Prediction And Optimized Dispatching Of Distributed Generation Grid

Posted on:2016-09-19Degree:MasterType:Thesis
Country:ChinaCandidate:Z B ChenFull Text:PDF
GTID:2272330482982700Subject:Systems analysis and integration
Abstract/Summary:PDF Full Text Request
Under pressure of energy crisis, environmental protection and substantial growth in electricity, the development and utilization of new energy draw more and more attention all over the world. With the rapid development of machinery manufacturing industry, microelectronic technology and computer control technology, distributed generation centered on wind power generation and solar electrical energy generation may be the effective supplement of the traditional power grid, has received extensive attention and rapid development. The paper describes research results all over the world, and point out the problem,and analysis the trend of development. The paper study actual problems and the trend of development.The main content of the paper can roughly divided into the following parts:To the problem of the variety of distributed generation and the statement of mathematical model is not comprehensive, the paper discuss the system composition and the mathematical model of distributed generation, and provide the architecture of the distributed power grid and the control bases of power grid hardware. Due to the small capacity of distributed generation, multi-type of user load and high random load fluctuation, this paper investigates forecast tracking problem. According to the nonlinear characteristics of various parameters in the distributed power system, this paper proposed a multi-model smooth switching control method based on an advanced strategy and prediction, which is the theoretical basis for the smooth transition of power supply and load, good quality and good economic benefits. Most of the distributed generations are new energy power generations, which have characteristics of randomness and volatility and cannot directly provide active power and reactive power, so it poses a challenge for the distributed power of local reactive power compensation.This paper investigated the problems about the distribution power supply network. By predicting user load and generation supply and choosing the optimization strategy and optimization calculation, this paper explored how to realize the optimization of scheduling, proposed the theory analysis, and gave simulation experiments to verify the feasibility of the strategies and methods. In order to meet the power balance, an objective function for optimization is put forward in the first. According to this index function, five working modes of power grid are set up, and the switching rules between different modes are also proposed, which can make the electricity of the distributed generations used as much as possible. Some simulation experiments are completed by MATLAB, which demonstrate that the proposed methods have much value. The thesis finally summarizes the research work and gives the prospect of future work.
Keywords/Search Tags:Distributed generation, Load prediction, Reactive power compensation, RBF neural network, Optimized dispatching
PDF Full Text Request
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