电力系统自动化Issue(3)：21-26,6.DOI:10.7500/AEPS20150402011
基于连续马尔可夫模型的时变电力系统自适应控制策略
Adaptive Control Strategy Based on Continuous Markov Model for Time-varying Power System
摘要
Abstract
An adaptive control strategy based on continuous Markov model for time-varying power system is proposed to deal with the large variation in operating condition of power system caused by the wind generator output fluctuation.First, Lyapunov functional containing a continuous Markov model of time-varying power system is developed and Dynkin lemma is used to deduce the robust stochastic stabilization theorem with H ∞ norm boundγ.On this basis,Schur complement lemma is used to deduce robust stochastic stabilization linear matrix inequalities (LMI) meeting decay rate γ and minimum variance constraints considering steady-state variance constraints of various operating conditions.Then it is turned into a minimization problem of linear objective function to obtain the sub-controllers.The operating condition is identified online with the stochastic gradient method and the weighted coefficient of each condition is determined to construct the adaptive control strategy.Time-domain simulation results show that the strategy has efficiently solved the problem that fixed fault sets cannot be matched with current operating condition reasonably.关键词
电力系统/鲁棒随机稳定/连续马尔可夫模型/自适应控制/时变/系统辨识Key words
power systems/robust stochastic stability/continuous Markov model/adaptive control/time-varying/system identification引用本文复制引用
马静,高翔,李益楠,邱扬..基于连续马尔可夫模型的时变电力系统自适应控制策略[J].电力系统自动化,2016,(3):21-26,6.基金项目
国家自然科学基金资助项目(50907021,51277193) （50907021,51277193）
国家重点基础研究发展计划(973计划)资助项目(2012CB215200) （973计划）
中央高校基本科研业务费专项资金资助项目(2014ZZD02)。This work is supported by National Natural Science Foundation of China(No.50907021,No.51277193),National Basic Research Program of China (973 Program)(No.2012CB215200), and Fundamental Research Funds for the Central Universities (No.2014ZZD02) （2014ZZD02）
