随着以风光为代表的间歇性可再生能源在电网中渗透率的不断提高，微网、分布式电源、电动汽车等新技术的快速发展，使得电力系统的不确定性显著增强和安全稳定运行问题更加突出，传统的确定性小干扰稳定分析和控制方法不能考虑不确性的影响从而导致结果不准确。针对上述问题，本项目将充分考虑多类型间歇性可再生能源发电引起的不确定性和相关性因素，提出一种基于离散点估计的含多类型间歇性可再生能源的电力系统实用概率小扰动稳定分析，基于灵敏度法研究了不确定性输入变量的确定方法，该方法无需输入变量的概率分布函数、能够考虑输入变量的相关性、计算量小、精度高和实现简单，然后根据概率分析结果提出基于线性参数变化鲁棒控制理论设计概率阻尼控制器以增强系统概率小扰动稳定性的方法，最后通过数字仿真和实时仿真对所提分析和控制方法进行验证。本项目为进行含多类型间歇性可再生能源电力系统的概率小扰动稳定性分析和控制提供了一种新思路和方法。

With the increasing penetration of uncertainty renewable energy sources (e.g. wind power and photovoltaic) into grid and the development of the new techniques (e.g. micro-grid, distributed power and electric vehicles), these significantly enhances the uncertainties of power system. Therefore, secure and stable operation issues of power system become more prominent. Traditional deterministic small signal analysis and control methods, which do not consider the uncertainties scene, cause results to be too conservative. To address the above problems, this project will consider the correlations and uncertainty caused by the intermittent renewable energy sources, then study the method of determining the uncertainty of input variables based on the sensitivity method , later analyze the accuracy of the different estimation methods, a practical probability small signal stability analysis method is obtained based on discrete point estimate method, the method do not need the probability distribution function of the input variables, and can consider the correlation of input variables, high accuracy and simple features. Then, a damping controller based on linear parameter varying (LPV) robust control theory is designed to enhance the probabilistic small signal stability of the power system, the proposed analysis and control methods will be validated through both digital simulation and real-time simulation. This project will provide a new idea and method to improve the operation stability of power system with multiple types of uncertainty renewable energy sources integration.