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

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
CountryUnited States
CityCollege Station, TX
Period6/02/207/02/20
Internet address

Fingerprint Dive into the research topics of 'Demand Response Based on the Power Factor Considering Polynomial and Induction Motor loads'. Together they form a unique fingerprint.

Cite this