Almost decentralized model predictive control of power networks

R.M. Hermans, M. Lazar, A. Jokic, P.P.J. Bosch, van den

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (Scopus)
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Stable operation of the electrical power grid in the future will require novel, advanced control techniques for supply and demand matching, as a consequence of the liberalization and decentralization of electrical power generation. Currently, there is an increasing interest for using model predictive control (MPC) for power balancing. However, a centralized implementation of MPC is hampered by the large scale and complexity of power networks. Non-centralized, scalable control schemes are more suited for future application. In this paper we therefore propose a novel almost-decentralized Lyapunov-based predictive control algorithm for power balancing, i.e., for asymptotic stabilization of the network frequency. The algorithm is particularly suited for large-scale power networks, as it requires only local information and limited communication between directly-neighboring control areas to provide a stabilizing control action. We assess the suitability of this scheme and compare it with state-of-the-art non-centralized MPC in a benchmark case study.
Original languageEnglish
Title of host publicationProceedings 15th IEEE Mediterranean Electrotechnical Conference, MELECON 2010, 26-28 April 2010, Valletta, Malta
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)978-1-4244-5793-9
Publication statusPublished - 2010


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