Prevention of Emergency Voltage Collapses in Electric Power Networks using Hybrid Predictive Control

  • S. LeirensEmail author
  • R. R. Negenborn
Part of the Intelligent Systems, Control and Automation: Science and Engineering book series (ISCA, volume 42)


The reliable operation of electricity transport and distribution networks plays a crucial role in modern societies. However, too often, when a fault occurs in electricity networks, such as a transmission line drop, loss of generation, or any other important failure, voltages start to decay, potentially leading to complete blackouts with dramatic consequences. Thus, techniques are required that improve the power grid operation in case of emergencies. In this chapter, to achieve this aim, an approach is presented that uses an adaptive predictive control scheme. Electric power transmission networks are hereby considered as large-scale interconnected dynamical systems. First, voltage instability issues are illustrated on a 9-bus benchmark system. Then, the details of the proposed approach are discussed: the power network modeling and the construction of a hybrid prediction model (i.e., including both continuous and discrete dynamics), and the formulation and the resolution of the adaptive predictive control problem. In simulation studies on the 9-bus benchmark system the performance of the proposed approach is illustrated in various emergency voltage control cases.


Power System Transmission Line Model Predictive Control Capacitor Bank Power Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Departamento de Ingeniería Eléctrica y ElectrónicaUniversidad de Los AndesBogotáColombia
  2. 2.Delft University of Technology, Delft Center for Systems and ControlDelftThe Netherlands

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