Information Based On Synchronized Phasor Measurements, Power System Real-time Cutting Machine To Predict

With the huge interconnected power network in operation, complex dynamic phenomena will be witnessed and damages by the occurrence of instability events can be significantly great to the whole society. To understand and mitigate the transient instability phenomena, it is necessary to develop advanced theories and implementation techniques. The dissertation sets real-time emergent generator shedding control as its main topic and some new points of view are proposed after several theoretic analyses and simulations. The main contents of the dissertation include the following.(1) The dissertation introduces the system of transient stability emergency control according to the decision-making model. The concept of wide-area-protect system is described and the analyses of transient stability of electric power system are summarized.(2) An algorithm is proposed for predicting the changing trend of the power-angle. Simulation shows that the method is preferable.(3) The dissertation presents the concept of complex power-angle which can reflect the ponderance of disturbance, then identifies the critical machines cluster with this criteria. Simulation shows that the method is effective because of its expeditiousness and sensitivity.(4) A method is proposed for predicting power gap by Second-order differential coefficient of the power-angle. This method is capable of predicting transient stability well and truly. Mostly by algebraic operation, dynamic action is capable of being realized without integrated mathematic models, anyway, it provides effective solution for on-line transient stability analysis of electric power system.(5) The dissertation proposes an emergent generator shedding control based on synchronous phase measurement information, that is, to predict stability in control center according to power-angle messages using extended equal area criterion, carry out generator shedding performance when instability is predicted, then go on tracking the power-angle of the generator. The whole process described above is closed. The proposed method is validated on IEEE-39 system and demonstrated to be real-time and reliable.