Demand Response Based on the Power Factor Considering Polynomial and Induction Motor loads

Jaber Valinejad, Mousa Marzband, Meisam Ansari, Antoine Labonne

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

    1 Citation (Scopus)

    Abstract

    Demand Side Management (DSM) can bring numerous benefits to power systems, such as decreasing peak load demand, reshaping demand and enhancing system security. In order to achieve these goals, this paper proposes a two-stage model for DSM considering polynomial and induction motor loads. Induction motor includes refrigerator (RFER), dishwasher (DWSH), clothes washing machine (CWSH) and dryer style motor (DRYR) loads. The polynomial and RFER loads follow a continuous DSM while the DWSH, CWSH and DRYR loads follow a selective DSM. Considering both the active and the reactive demand response, this paper provides a new DR based on the power factor. Electrical appliances are further classified as responsive/controllable and non-responsive/uncontrollable devices on the basis of their distinct power consumption constraints. Here, all appliances' operation patterns are modeled through their functions in real systems; as a result, the polynomial load model and induction motor type loads are adopted to represent consumers' behavior. A stochastic Multi-Objective Optimal Network Operation (SMONO) framework is further proposed to solve the aforementioned DSM problem. The simulations conducted in a generic distribution network reveals that the proposed method can successfully reach an optimal trade-off between four objectives, namely, voltage security, power losses, customer costs, and peak demand.
    Original languageEnglish
    Title of host publication2020 IEEE Texas Power and Energy Conference (TPEC)
    Subtitle of host publication6-7 February 2020, College Station, TX, USA
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages402-408
    ISBN (Electronic)9781728144368, 9781728144351
    ISBN (Print)9781728144375
    DOIs
    Publication statusPublished - Feb 2020
    Event2020 IEEE Texas Power and Energy Conference (TPEC) - Memorial Student Center (MSC) at Texas A&M University, College Station, TX, United States
    Duration: 6 Feb 20207 Feb 2020
    Conference number: 4
    http://tpec.engr.tamu.edu/

    Conference

    Conference2020 IEEE Texas Power and Energy Conference (TPEC)
    Abbreviated titleTPEC 2020
    Country/TerritoryUnited States
    CityCollege Station, TX
    Period6/02/207/02/20
    Internet address

    Keywords

    • Demand side management
    • Reactive demand response
    • Load Modelling
    • Security
    • Polynomial load
    • Induction Motor

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