摘要
按照策略表切机是电力系统中提高暂态稳定的有效方法之一。利用能量裕度灵敏度法在中央处理单元在线修改策略表、在故障监测单元实施实时匹配和就地预测发电机暂态稳定以决定是否切机。在厂站采用“当前”统计模型、常加速模型及常速模型构成的交互式多模型(IMM)自适应滤波算法,跟踪预测发电机转子角度。当预测到机组失稳时,按照策略表及实时匹配情况,方始发出切机命令。这种紧急切机控制的并行双重算法能有效地防止误切机组。通过经典模型下新英格兰10机39节点系统的应用说明算法的有效性。
Generator tripping on the basis of strategy table is one of the most effective approaches to enhance the transient stability of a power system. Based on sensitivity analysis of energy margin, on-line pre-decision look-up tables to determine generator tripping was developed in the central processing unit. Fault detection equipments register the generators to be shed against contingencies, and a new local prediction method of transient stability was proposed. The adaptive tracking algorithm of Interacting Multiple Model (IMM) to predict the rotor angle of the generator was employed to improve the on-line prediction accuracy of system stability.The look-up tables were used to determine the requirements of generator tripping and before sending out shedding signals, instability was confirmed by on-line prediction of system stability. The parallel algorithm can avoid unnecessary generator tripping. The simulations on a 10-machine 39-bus New England test system have shown that the proposed method is effective and feasible.
出处
《中国电力》
CSCD
北大核心
2005年第2期40-44,共5页
Electric Power
基金
国家"973"项目:我国电力大系统灾变防治与经济运行子课题(G1998020322)
关键词
暂态稳定
能量裕度灵敏度
交互式多模型
切机
transient stability
sensitivity of energy margin
interacting multiplemodel
generator tripping
