Research Of Optimal Configuration For Dispersed Wind Generation Friendly To Distribution Network

In recent years, Chinese economy has maintained rapid development. In the process of industrialization and urbanization, China has gradually surpassed U.S. to be the largest fossil energy consumer of the word. At the same time, due to the unreasonable use of energy, the problem of the environment pollution is becoming serious. To solve the problem, the government of China put forward to developing green and sustainable economy. The smart grid is an important support for the sustainable development of energy, while the power generation using renewable energy in the form of dispersed generation is an important characteristic of the smart grid.Dispersed generation has gained a lot of attractions in the power sector due to its ability in power loss reduction and pollution reduction, voltage distribution improvement, reliability augment and so on. On the basis of summarizing the research results at home and abroad, this thesis focuses on the factors such as economy, technology and environment, the optimal configuration of dispersed wind power generation is studied, including two-sub problems of the dispersed wind turbine's location and the capacity of wind turbines respectively.This thesis first analyzes the influence on power loss, voltage distribution and voltage static stability caused by the location and capacity of dispersed wind generators. On this basis, combined with environmental factors it proposed a multi-objective optimization mode for the optimal configuration of friendly dispersed wind power generation in this thesis. Net loss, voltage deviation, voltage static stability, greenhouse gas emissions and other factors are contained so that the impact on distribution network can comprehensively reflected in this model. An expression is given that dispersed generation is economic friendly, technology friendly and environmental friendly to the distribution network.Then the randomicity of wind power generation is analyzed and the output calculation method of wind turbine is given in this thesis. Based on the structure of asynchronous motor, a method is proposed to deal with the wind power generator in the power flow calculation. On this basis, the allocation model is optimized using the genetic-simulated annealing algorithm and the feasibility of this method is proved through a standard system. However, it is so difficult to set up the parameters of the algorithm as the number of the parameters in this method is huge and they can not easily cooperate well.In view of the shortcomings above, combined with the artificial fish algorithm and the cat swarm algorithm, a new optimization algorithm is proposed named M-C algorithm in this thesis. This algorithm retains the advantages of the insensitivity to parameters in artificial fish algorithm, and its shortcoming of precocity can be avoided because of the join of the competitive species. It verifies the feasibility and the superiority of the algorithm though analyzing of the optimization results.In conclusion, the influence of dispersed wind generation on power grid is studied in this thesis. The method for optimal allocation of dispersed wind power friendly to distribution network is proposed, and the feasibility of the method is validated by simulations.