Design And Implementation Of Software System For Power Optimization Of Wind Farm Based On The Model Of Spinning Reserve

With the rapid development of modern industry, human almost runs out the conventional energy available on earth. In order to achieve sustainable development, the world begins to use clean energy. The utilization rate of wind power is increasing. We know that wind power refers to a large number of air flow generated by the kinetic energy of the earth’s surface and its resource depends on the wind and the cumulative number of hours. Wind power is a kind of clean energy and wind energy is very rich, nearly endless. Wind energy has now been converted into a variety of other forms of energy, it is currently one of the most promising energy. Wind energy can be a good solution to the problem of the shortage of energy resources especially in remote and inaccessible areas.With issues of the energy and environment being more prominent, wind power energy is used widely at an increasing speed. However the randomness and intermittence of wind power has brought some risks to power system and affects the power systems’ s stability. Because electric power scheduling is complex and is difficult for human beings to control, it is urgent to develop optimization software for power scheduling decision.In this paper we introduced the impact of scheduling problems caused by wind farms and we established the probability density function of the wind power forecasting errors. In dealing with the uncertainty of wind power and the load of wind farms, we use confidence level to find the size of reserved capacity. Based on the total reserved capacity of the power system, we established the reserved scheduling model and the optimal scheduling model. In addition to the above models we also created the optimal spinning reserved scheduling model.In this paper, on the basis of the above scheduling models, combined the technology of MFC application framework and XML data storage technology, we analyzed the system requirements and determined the system’s two main function modules: parameters configuration module and scheduling policy module. After analyzing the system, we implemented the power scheduling optimization software. At the end of the article, we proposed the system’s test plan and tested all the functions of the system, including the parameters configuration module(basic parameters configuration module, the wind farm configuration module, unit parameters configuration module) and scheduling policy module(such as scheduling strategy and spinning scheduling strategy). To demonstrate the effectiveness of the system, we used the real parameters in our test cases. The experimental results show that the system is helpful for electric power scheduling.