Research On Power System Real-time Emergency Control

As an important measure to prevent wide-area power system blackout when a serious fault occurs, transient stability control system (TCS) has been used widely in recent years, however, along with the inter-connection and market formation of the state power system, the TCS featured with the off-line decision-making mode is less adapted to this new trends. Aiming at the goal of real-time emergency control, this dissertation presents some new points, which are analyzed theoretically and validated from the digital simulations. The main work of this dissertation is constituted of:(1) The dissertation introduces and analyzes power system transient stability emergency control system according to the decision-making model, and reviews the on-line transient stability prediction methods based on the phasor measurement units (PMU). The power system equivalence methods including static and dynamic equivalence are also retrospected.(2) A novel on-line equivalence method is proposed, which, considering the characteristic of heavily stressed long-distance transmission network and some networks with special instability mode, obtains simplified system through the information acquired by PMUs installed on some important nodes and transmitted by high-speed optical communication when faults occur. The simulations demonstrate that, predicting the future behavior and working out the decision on the equivalent system have the virtue of predicting accurately and controlling reliably. By the way, the presented project needs less amount of information and is easy to actualize and independent of the system operating conditions.(3) The mathematic models of equivalent problems are established on the power system classical model. How to calculate the grads of the objective function constrained by the differential-algebraic equations is solved by optimal parameter selection algorithm. Interior point algorithm, a power algorithm to solve non-linear programming problem, is used to work out the equivalent problems in this...