The Impact Factors Modeling of WPREs in Electric Power System Based on Orthogonal Test Method

Abstract

In an electric power system with a high penetration of wind power, wind power ramps events (WPREs) has been an important factor of wind power integration and development. To predict them accurately and adopt a timely response, it is important to understand their characteristics. Wind power ramps are affected by various factors and in a complicated way that differ in different wind farms. To give insight into wind power ramps and their dependencies, an impact factors model of wind power ramps has been developed based on orthogonal test theory. By classifying the possible impact factors of wind power ramps into several grade levels and comparing the difference of orthogonal test results brought by each factor, the model enables: compare the effect strength of factors quantitatively; and determine the dominant factors, as well as grade level combinations of these factors with the highest risk of wind power ramps. A wind farm from China is used to illustrate the analysis and verify its feasibility. The main advantage of this model is shown to be: (1) The model can be generalized to any wind farm to explore the factors affecting the wind power ramps; (2) Not only the impact of factors themselves but also the interaction among the factors can be assessed; (3) Any parameter of wind power ramps could be analyzed as experimental index, realizing the analysis of wind power ramps from various aspects.