Research And System Development Of Dispersed Wind Farm Micro-siting

In recent years, the economy of china has maintained rapid development. 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. Wind power generation 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 wind power generation in recent years.Wind farm site selection should be top consideration in the practical application of wind power. The selection of the site plays a crucial role in utilization and economy of wind energy. The micro-sitting which comes after macro-sitting is to arrange the wind turbines in the small area selected, so that the wind farm has maximum power generation and better economic benefits. Starting from view of economy, technology and environment, the optimal micro-sitting method of dispersed wind farm is studied, and software system suitable for the micro-sitting is developed.Based on the basic knowledge introduction of wind resources in the thesis initially, how to use the Weibull distribution of wind speed to calculate wind energy assessment parameters and the estimation of Weibull distribution parameter have been analyzed in detail. Jensen wake model is established to figure out the wind speed for any location of the wind farm under the condition of wind turbines interacting with each other.Then the micro-sitting selection method of dispersed wind farm has been studied. Adaptive harmony search algorithm and parameter adjustment strategy is proposed for the micro-siting in discrete space, at the same time, the objective function of power generation is established. The feasibility of the method is validated by simulation and contrast; then the limitation of adaptive harmony search algorithm is analyzed, on this basis, dynamic harmony particle swarm algorithm is proposed for the micro-siting the continuous space. By analyzing the optimization results, the feasibility and superiority of this algorithm are verified.Then the software for dispersed wind farm micro-siting is developed using the dynamic harmony particle swarm algorithm above. It is achieved through ArcGIS Engine in the programming environment of Visual Studio 2010. The software achieves various function of wind turbines micro-siting, including dispersed wind farm wind atlas mapping, wind turbines optimization positioning and other functions. The feasibility and superiority of this software are validated through comparing with the micro-sitting result from WAsP software.Finally, the work content has been summarized and the future visions of the theory research and software development have been made.