Skip to main content

2018 | OriginalPaper | Buchkapitel

Demand Response Mechanism of a Hybrid Energy Trading Market for Residential Consumers with Distributed Generators

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Smart grid (SG) as a complex advanced electricity system is capable of facing with the growing energy demand, where energy consumers are connected not only to the conventional grid but also to some local energy markets for bidirectional energy trading. In this context, this paper presents an optimization problem the demand response problem where a hybrid energy trading system consisting of a conventional grid, a local trading system, a number of energy consumers, having distributed generators and battery, and some generator companies. In this case, it has been considered that the local trading center (LTC) is a non-profit oriented LTC which aims at benefiting the energy consumers and energy sellers. The optimization model is formulated as a mixed integer Linear Program (MILP) with a bounded number of variables and constraints. Furthermore, the solution can be obtained in polynomial time and provides the optimal scheduling for the problem such that the costs were minimized while the total demand is satisfied.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Chai B, Chen J et al (2014) Demand response management with multiple utility companies: a two-level game approach. IEEE Trans Smart Grid 5(2):722–731CrossRef Chai B, Chen J et al (2014) Demand response management with multiple utility companies: a two-level game approach. IEEE Trans Smart Grid 5(2):722–731CrossRef
2.
Zurück zum Zitat Chen S, Shroff NB, Sinha P (2013) Heterogeneous delay tolerant task scheduling and energy management in the smart grid with renewable energy. IEEE J Sel Areas Commun 31(7):1258–1267CrossRef Chen S, Shroff NB, Sinha P (2013) Heterogeneous delay tolerant task scheduling and energy management in the smart grid with renewable energy. IEEE J Sel Areas Commun 31(7):1258–1267CrossRef
3.
Zurück zum Zitat Keshav S, Rosenberg C (2010) How internet concepts and technologies can help green and smarten the electrical grid. In: ACM SIGCOMM workshop on green NETWORKING 2010. New Delhi, India, pp 35–40 Keshav S, Rosenberg C (2010) How internet concepts and technologies can help green and smarten the electrical grid. In: ACM SIGCOMM workshop on green NETWORKING 2010. New Delhi, India, pp 35–40
4.
Zurück zum Zitat Kim BG, Ren S et al (2013) Bidirectional energy trading and residential load scheduling with electric vehicles in the smart grid. Sel Areas Commun IEEE J 31(7):1219–1234CrossRef Kim BG, Ren S et al (2013) Bidirectional energy trading and residential load scheduling with electric vehicles in the smart grid. Sel Areas Commun IEEE J 31(7):1219–1234CrossRef
5.
Zurück zum Zitat Mohsenian-Rad AH, Leon-Garcia A (2010) Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Trans Smart Grid 1(2):120–133CrossRef Mohsenian-Rad AH, Leon-Garcia A (2010) Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Trans Smart Grid 1(2):120–133CrossRef
6.
Zurück zum Zitat Qian LP, Zhang YJA et al (2013) Demand response management via real-time electricity price control in smart grids. IEEE J Sel Areas Commun 31(7):1268–1280CrossRef Qian LP, Zhang YJA et al (2013) Demand response management via real-time electricity price control in smart grids. IEEE J Sel Areas Commun 31(7):1268–1280CrossRef
7.
Zurück zum Zitat Ren H, Wu Q et al (2016) Optimal operation of a grid-connected hybrid pv/fuel cell/battery energy system for residential applications. Energy 113:702–712CrossRef Ren H, Wu Q et al (2016) Optimal operation of a grid-connected hybrid pv/fuel cell/battery energy system for residential applications. Energy 113:702–712CrossRef
8.
Zurück zum Zitat Torres D, Crichigno J et al (2014) Scheduling coupled photovoltaic, battery and conventional energy sources to maximize profit using linear programming. Renew Energ 72(4):284–290CrossRef Torres D, Crichigno J et al (2014) Scheduling coupled photovoltaic, battery and conventional energy sources to maximize profit using linear programming. Renew Energ 72(4):284–290CrossRef
9.
Zurück zum Zitat Vaziri SM, Rezaee B, Monirian MA (2017) Bi-Objective integer programming of hospitals under dynamic electricity price. Springer, Singapore Vaziri SM, Rezaee B, Monirian MA (2017) Bi-Objective integer programming of hospitals under dynamic electricity price. Springer, Singapore
10.
Zurück zum Zitat Wu Y, Tan X et al (2015) Optimal pricing and energy scheduling for hybrid energy trading market in future smart grid. IEEE Trans Ind Inf 11(6):1585–1596CrossRef Wu Y, Tan X et al (2015) Optimal pricing and energy scheduling for hybrid energy trading market in future smart grid. IEEE Trans Ind Inf 11(6):1585–1596CrossRef
Metadaten
Titel
Demand Response Mechanism of a Hybrid Energy Trading Market for Residential Consumers with Distributed Generators
verfasst von
Nastaran Naseri
Babak Rezaee
Shahin Kazemzadeh
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-59280-0_97

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.