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Center for Nonlinear Studies |
Longer-term corrective control of electric power systems calls for methods that coordinate the response of diverse resources, including FACTS devices, energy storage, demand response and fast-acting generation. Model-predictive control (MPC) has shown great promise for accommodating these devices in a corrective control framework that exploits the thermal overload capability of transmission lines to limit detrimental effects of contingencies. Voltage magnitudes and reactive power are incorporated into the system model utilized by MPC in order to provide a more accurate prediction of system behavior and enable more effective control decisions. Performance of this enhanced MPC strategy is demonstrated using a model of the Californian power system containing 4259 buses. Sparsity in modelling and control actions must be exploited for implementation on large networks. A method for identifying the most effective controllable resources to enacted in response to a contingency is discussed. The proposed MPC corrective control algorithm fits naturally within energy management systems where it can provide feedback control or act as a guide for system operators by identifying beneficial control actions across a wide range of devices.
Host: Misha Chertkov