项目名称: 不确定强时变强时滞复杂电网环境下混合模型轨迹系统稳定性分析理论及协调控制策略研究
项目编号: No.51277193
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 电工技术
项目作者: 马静
作者单位: 华北电力大学
项目金额: 80万元
中文摘要: 我国初步形成的弱互联、大规模、远距离输电系统,是一个具有强随机性、强时变性以及强时滞性的复杂动力系统,其稳定控制难度之大世界范围内较为罕见。同时,考虑到快速、高增益励磁技术的引进,电力负荷高速增长,以及经济、环保等因素制约,低频振荡现象频繁发生,小干扰稳定问题日益凸显。这种情况下,如何保障复杂大电网安全稳定是一项颇具挑战性的课题。本项目拟从全局信息出发,首先建立考虑强随机、强时变及强时滞因素的参数化模型,并将该模型与实际受扰轨迹相结合,构建一体化混合模型轨迹系统。在此基础上,利用Finsler理论与乘子矩阵,推导分段线性化系统特征根的解析估算公式及其时间序列,并据此建立混合模型轨迹系统稳定性分析理论。同时,对包含各控制单元的混合模型轨迹系统进行Youla参数化处理,并借助分类回归树搜索混合模型轨迹系统在参数空间位置及其稳定域在参数空间的滑动轨迹,最终构建低频振荡鲁棒、自适应、协调控制方案。
中文关键词: 复杂大系统;能量稳定域;跳变时滞稳定性;在线辨识;自适应控制
英文摘要: The weakly-interconnected large-scaled long-distance power grid of China is a time delay dynamic system with time-varying, strong random. The stability control of this system is a worldwide problem. Meanwhile, the power system oscillation occurred often because of the application of fast and high gain of excitation, the growth of load, economic and environment and so on. Small signal stability problem is more and more apparent. At this situation, how to guarantee the stability of complicated system is a changeling project. Therefore, Strong time-varying, delays and randomness parameterization models are proposed in this fund to form mixed model trajectory system with perturbed trajectory. The analysis formula and time series of eigenvalues of piece-wise linearization system are deduced using Finsler theory and multiplier matrix, and form the stability analysis theory for mixed model trajectory system. Observer based controller with robust tracking are designed for Youla parameterization. Classify and regression tree are used to search the location of mixed model trajectory system and its stability region in the parameter space. Finally, the adaptive coordinated damping control scheme for power system low-frequency oscillation is formed.
英文关键词: Complicated large power systems;Energy stability domain;stabilization for jump system with time-delay;On-line identification;Adaptive control