Hyppää sisältöön
    • Suomeksi
    • På svenska
    • In English
  • Suomeksi
  • In English
  • Kirjaudu
Näytä aineisto 
  •   Etusivu
  • LUTPub
  • Tieteelliset julkaisut
  • Näytä aineisto
  •   Etusivu
  • LUTPub
  • Tieteelliset julkaisut
  • Näytä aineisto
JavaScript is disabled for your browser. Some features of this site may not work without it.

Self-scheduling model for home energy management systems considering the end-users discomfort index within price-based demand response programs

Javadi, Mohammad Sadegh; Esmaeelnezhad, Ali; Nardelli, Pedro H.J.; Gough, Matthew; Lotfi, Mohamed; Santos, Sérgio; Catalão, João P.S. (2021-02-19)

Katso/Avaa
javadi_et_al_self-scheduling_post_print.pdf (992.1Kb)
Huom!
Sisältö avataan julkiseksi
: 20.02.2023

Post-print / Final draft

Javadi, Mohammad Sadegh
Esmaeelnezhad, Ali
Nardelli, Pedro H.J.
Gough, Matthew
Lotfi, Mohamed
Santos, Sérgio
Catalão, João P.S.
19.02.2021

Sustainable Cities and Society

68

Elsevier

School of Energy Systems

https://doi.org/10.1016/j.scs.2021.102792
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe202103228003

Tiivistelmä

This paper presents a self-scheduling model for home energy management systems (HEMS) in which a novel formulation of a linear discomfort index (DI) is proposed, incorporating the preferences of end-users in the daily operation of home appliances. The HEMS self-scheduling problem is modelled as a mixed-integer linear programming (MILP) multi-objective problem, aimed at minimizing the energy bill and DI. In this framework, the proposed DI determines the optimal time slots for the operation of home appliances while minimizing end-users’ bills. The resulting multi-objective optimization problem has then been solved by using the epsilon-constraint technique and the VIKOR decision maker has been employed to select the most desired Pareto solution. The proposed model is tested considering tariffs in the presence of various price-based demand response programs (DRP), namely time-of-use (TOU) and real-time pricing (RTP). In addition, different scenarios considering the presence of electrical energy storage (EES) are investigated to study their impact on the optimal operation of HEMS. The simulation results show that the self-scheduling approach proposed in this paper yields significant reductions in the electricity bills for different electricity tariffs.

Lähdeviite

Javadi, M.S., Esmaeelnezhad, A., Nardelli, P.H.J., Gough, M., Lotfi, M., Santos, S., Catalão, J.P.S. (2021). Self-scheduling model for home energy management systems considering the end-users discomfort index within price-based demand response programs. Sustainable Cities and Society, vol. 68. DOI: 10.1016/j.scs.2021.102792

Kokoelmat
  • Tieteelliset julkaisut [1101]
LUT-yliopisto
PL 20
53851 Lappeenranta
Ota yhteyttä | Tietosuoja | Saavutettavuusseloste
 

 

Tämä kokoelma

JulkaisuajatTekijätNimekkeetKoulutusohjelmaAvainsanatSyöttöajatYhteisöt ja kokoelmat

Omat tiedot

Kirjaudu sisäänRekisteröidy
LUT-yliopisto
PL 20
53851 Lappeenranta
Ota yhteyttä | Tietosuoja | Saavutettavuusseloste