基于风电随机性新模型的概率最优潮流和小扰动稳定控制研究

项目名称： 基于风电随机性新模型的概率最优潮流和小扰动稳定控制研究

项目编号： No.51307124

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 电工技术

项目作者： 柯德平

作者单位： 武汉大学

项目金额： 24万元

中文摘要： 现有风力发电随机性建模（或近似建模）方法均不能兼顾两点：一是准确地描述风电功率的概率分布；二是兼容快速解析性的概率计算（如概率潮流）。受制于此，目前包含风电的概率最优潮流和小扰动稳定控制研究仍存在各种不足。因此，本项目将以提出具有合理精度的风电随机性近似建模方法、并据此推导随机变量（如线路潮流、特征根等）概率密度函数的解析计算式为基础，推进和完善上述两类研究工作，主要内容包括：研究在概率最优潮流模型中定义实用目标函数的方法以及对网络概率潮流的机会约束问题；研究强（风电）随机性环境下新的可观、可控性指标的定义方法；从概率性稳定和控制代价最优的角度研究区域间功率振荡阻尼控制器的协调设计方法；研究在双馈风力发电机上安装附加阻尼控制器参与区域间功率振荡抑制时优化双馈风力发电机动态的方法。本项目的工作将有助于提升现有风电并网的研究水平，为含大规模风电的电网的发电调度决策和安全稳定控制提供理论依据。

中文关键词： 风电；随机模型；最优潮流；小扰动稳定控制；优化

英文摘要： The currently available modeling (or approximated modeling) methods for randomness of wind power generation (WPG) cannot give consideration to the following two points simultaneously: one is the accuracy of describing the probability distribution of WPG; another is the compatibility to the fast analytic probabilistic computation (i.e. probabilistic load flow). Because of this, current researches on probabilistic optimal power flow (P-OPF) and small-signal stability control with consideration of WPG still have many deficiencies. Therefore, this project will promote and improve above mentioned two types of researches based on a novel modeling approach for randomness of WPG with reasonable accuracy and further deduced analytic probability density functions of some random variables (i.e. line flow, eigenvalue, et al.). The major contents of this project include: studying the practically-useful definitions of objective function in the P-OPF model as well as the chance constraints on the probabilistic load flow of network; studying the novel definitions of observability and controllability indexes under the circumstance with strong (WPG) randomness; studying the coordinated design methods for damping controllers to suppress inter-area oscillations from the viewpoint of probabilistic stability and optimal control effor

英文关键词： wind power；stochastic model；optimal power flow；small signal stability control；optimization