Comparative Assessment of Prediction Models in Voltage Control

Emergency voltage control problems in electric power networks have stimulated the interest for the implementation of online optimal control techniques. In this sense there have been a number of publications in the past few years concerning the employment of predictive control schemes to counteract the possibility of voltage collapses, all of which inherently rely on a prediction model of the network to choose the control action to apply onto the system. The tradeoff between complexity and accuracy of the chosen model is therefore relevant in the derivation of the control scheme, as for such a system-critical real-time application it must yield reliable predicted values whilst avoiding an excessively onerous degree of complexity.