Fuzzy predictive filtering in nonlinear economic model predictive control for demand response

Rui Mirra Santos, Yi Zong, Joao M. C. Sousa, Luis Mendonca, Shi You, Lucian Mihet-Popa

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    The performance of a model predictive controller (MPC) is highly correlated with the model's accuracy. This paper introduces an economic model predictive control (EMPC) scheme based on a nonlinear model, which uses a branch-and-bound tree search for solving the inherent non-convex optimization problem. Moreover, to reduce the computation time and improve the controller's performance, a fuzzy predictive filter is introduced. With the purpose of testing the developed EMPC, a simulation controlling the temperature levels of an intelligent office building (PowerFlexHouse), with and without fuzzy filtering, is performed. The results show that the controller achieves a good performance while keeping the temperature inside the predefined comfort limits. Fuzzy predictive filtering has shown to be an effective tool which is capable of reducing the computational burden and increasing the performance level of the control algorithm.
    Original languageEnglish
    Title of host publicationProceedings of 2016 IEEE Electrical Power and Energy Conference
    Number of pages6
    PublisherIEEE
    Publication date2016
    Pages1-6
    ISBN (Print)9781509019199
    DOIs
    Publication statusPublished - 2016
    Event16th annual IEEE Electrical Power and Energy Conference 2016 - Ottawa, Canada
    Duration: 12 Oct 201614 Oct 2016
    Conference number: 16
    https://www.epec2016.ieee.ca/

    Conference

    Conference16th annual IEEE Electrical Power and Energy Conference 2016
    Number16
    Country/TerritoryCanada
    CityOttawa
    Period12/10/201614/10/2016
    Internet address

    Keywords

    • Optimization
    • Buildings
    • Resistance heating
    • Computational modeling
    • Aerospace electronics
    • Predictive models
    • smart buildings
    • Branch-and-bound optimization
    • demand response
    • fuzzy predictive filtering
    • nonlinear economic model predictive control

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