新的同调识别方法及其在切机算法中的应用  

New Coherency Identification Approach and Its Application to Generator Tripping Algorithm

作　　者：谭伟[1,2] 张雪敏[1] 沈沉[1] 

机构地区：[1]清华大学电机系电力系统国家重点实验室,北京100084 [2]清华大学深圳研究生院,广东深圳518055

出　　处：《西南交通大学学报》2009年第4期507-512,共6页Journal of Southwest Jiaotong University

基　　金：国家自然科学基金资助项目(50677031;50777032);新世纪优秀人才支持计划资助项目(NCET-08-0317)

摘　　要：为准确预测系统失稳模式,提出了基于系统失稳时刻状态矩阵分析的同调识别方法.通过对失稳时刻特征值及右特征值向量的分析,预测系统主导失稳模式,确定分群情况,并用扩展等面积法量化该系统的稳定裕度.通过分析稳定裕度对切机控制的灵敏度,得出最佳的切机控制策略.在改进的IEEE-39节点上对本文所提出的算法进行验证.结果表明,本文所提供的同调识别算法能较好地识别机组分群情况.经时域仿真试验可知,基于灵敏度的切机策略能抑制系统暂态失稳.In order to forecast the unstable modes of an electric power system, a new generator coherency identification approach was proposed by analyzing the state matrix of the system in unstable state. In this method, the eigenvalues and right eigenvectors of the state matrix are calculated to forecast the dominant unstable mode of the system and identify groups of coherent generators. The stability margin of the system is calculated by extended equal-area criterion. Through sensitivity analysis, generator tripping locations and ratios are searched to produce the optimal emergency generator tripping control strategy. Simulation results on the revised IEEE-39 bus system were provided to verify the proposed method. The results show that the proposed generator coherency identification algorithm is effective, and that the generator tripping control strategy based on sensitivity analysis can successfully prevent the system from transient instability.

关 键 词：同调识别 紧急切机 扩展等面积法则 灵敏度分析 

分 类 号：TM712[电气工程—电力系统及自动化]