A Research On Peak Regulation And Unit Commitment Of Power System Integrated With Wind Power

The environmental pollution and energy crisis caused by the modern industrial development have become major issues and grand challenges in human society, and it is the only way for social development to make full use of clean and renewable energy. It is a great choice to develop wind power for the construction of resource saving and environment friendly society, and it becomes the inevitable trend that large wind farms connect to grid and generate power. But it is difficult to change the structure of the grid and power supply and storage capacity in a short term, so facing the wind power output stochastic volatility, analysis of the peaking demand and obtaining a reasonable scheduling become the most direct and effective means of promoting wind power consumptive and achieving the safe and economic operation of wind power integrated power system.Based on the results of research on peaking and unit commitment in power system with wind farms, the following work has been carried out. The method for dividing the types of wind power fluctuation is proposed considering the statistical properties of fluctuation of wind farm output power. Based on the wind power probability density function, a fluctuation interval model of wind power is built under a certain confidence level. And a probability model of wind farm output is built based on prediction errors to lay the foundation for peaking and unit commitment. From the perspective of correlation between changes in wind power and system load, a peaking load demand capacity model in a system with wind farms is built. According to peaking capacity of the conventional units in the system, both the unit scheduling and the acceptance capacity of wind power are studied in different peaking demand scenarios.In the study of unit commitment and system scheduling problems, a unit commitment optimization model for the operation of a combination system of wind power, thermal power and hydropower is established. Under different scenarios of wind power and in combination with system operation constraints, using the combined algorithm of ant colony algorithm and harmony search particle swarm algorithm, a comprehensive and feasible solving process is completed with the method of coordinating the states of conventional units outside and optimizing economic load allocation inside. Finally, in the test system based on the regional power grid, the optimization scheme and reasonable operating strategies for practical Scheduling problems in a system with wind farms are given he proposed model solving strategy to verify The practicability and validity of this method.