Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Energy Harvesting Technologies and Market Opportunities Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

10. Optimal Scheduling of Water Distribution Systems’ Participation in Demand Response and Frequency Regulation Services

verfasst von : Amir Farahmand-Zahed, Alireza Akbari-Dibavar, Behnam Mohammadi-Ivatloo, Kazem Zare

Erschienen in: Electricity Markets

Verlag: Springer International Publishing

Einloggen

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

search-config
loading …

Abstract

Water distribution systems (WDSs) are energy-intensive substructures that consume energy to deliver water to consumers. WDSs are able to provide demand response in power systems due to the existence of water storage tanks and variable speed pumps. Reducing operating costs and losses are the main outcomes of demand response programs which would lead to more economical operation of the system. In this chapter, a model for optimizing the participation of WDSs in the demand response market is presented, and the uncertainty of the energy price forecast is considered using Robust Optimization Approach. The objective of the optimization is to find the best schedule for operation of water tanks and pumps, in which the WDS’s water purchase cost is minimized and the WDS’s profit for providing the demand response services is maximized. The proposed model is implemented on a test WDS. The results indicate the effectiveness of the proposed model.

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren
Vorheriges Kapitel Robust Scheduling of Plug-In Electric Vehicles Aggregator in Day-Ahead and Reserve Markets
Nächstes Kapitel Optimal Power Scheduling of a GenCo Using Two-Point Estimate Method
Literatur
1.
C. Diaz, F. Ruiz, D. Patino, Modeling and control of water booster pressure systems as flexible loads for demand response. Appl. Energy 204, 106–116 (2017)CrossRef
2.
N. Oconnell, P. Pinson, H. Madsen, M. Omalley, Benefits and challenges of electrical demand response: A critical review. Renew. Sust. Energ. Rev. 39, 686–699 (2014)CrossRef
3.
K. Oikonomou, M. Parvania, Optimal coordination of water distribution energy flexibility with power systems operation. IEEE Trans. Smart Grid 3053(c), 1–10 (2018)
4.
B. Ulanicki, J. Kahler, H. See, Dynamic optimization approach for solving an optimal scheduling problem in water distribution systems. J. Water Resour. Plan. Manag. 133(1), 23–32 (2006)CrossRef
5.
S.M.S. Abkenar, S.D. Stanley, C.J. Miller, D.V. Chase, S.P. McElmurry, Evaluation of genetic algorithms using discrete and continuous methods for pump optimization of water distribution systems. Sustain. Comput. Inform. Syst. 8, 18–23 (2015)
6.
G. Bonvin, S. Demassey, C. Le Pape, N. Maïzi, V. Mazauric, A. Samperio, A convex mathematical program for pump scheduling in a class of branched water networks. Appl. Energy 185, 1702–1711 (2017)CrossRef
7.
L.H.M. Costa, B. de Athayde Prata, H.M. Ramos, M.A.H. de Castro, A branch-and-bound algorithm for optimal pump scheduling in water distribution networks. Water Resour. Manag. 30(3), 1037–1052 (2016)CrossRef
8.
M. López-Ibáñez, T.D. Prasad, B. Paechter, Ant colony optimization for optimal control of pumps in water distribution networks. J. Water Resour. Plan. Manag. 134(4), 337–346 (2008)CrossRef
9.
R. Menke, E. Abraham, P. Parpas, I. Stoianov, Exploring optimal pump scheduling in water distribution networks with branch and bound methods. Water Resour. Manag. 30(14), 5333–5349 (2016)CrossRef
10.
H. Mala-Jetmarova, N. Sultanova, D. Savic, Lost in optimisation of water distribution systems? A literature review of system operation. Environ. Model. Softw. 93, 209–254 (2017)CrossRef
11.
Z. Ghelichi, J. Tajik, M.S. Pishvaee, A novel robust optimization approach for an integrated municipal water distribution system design under uncertainty: A case study of Mashhad. Comput. Chem. Eng. 110, 13–34 (2018)CrossRef
12.
Y. Yalcin, K. Yigit, B. Acarkan, Energy management of water transfer stations by using demand response programs. 2018 6th international conference on control engineering & information technology (2018), pp. 1–5
13.
K. Oikonomou, P. Masood, S. Burian, Integrating water distribution energy flexibility in power systems operation (2017)
14.
C. Mkireb, A. Dembele, A. Jouglet, T. Denoeux, A linear programming approach to optimize demand response for water systems under water demand uncertainties. 2018 international conference on smart grid and clean energy technologies (ICSGCE 2018) (2018), pp. 206–211
15.
R. Menke, E. Abraham, P. Parpas, I. Stoianov, Demonstrating demand response from water distribution system through pump scheduling. Appl. Energy 170, 377–387 (2016)CrossRef
16.
R. Menke, E. Abraham, P. Parpas, I. Stoianov, Extending the envelope of demand response provision though variable speed pumps. Procedia Eng. 186, 584–591 (2017)CrossRef
17.
K. Oikonomou, M. Parvania, R. Khatami, Optimal demand response scheduling for water distribution systems. IEEE Trans. Ind. Informatics 3203(c), 1–11 (2018)
18.
19.
L.W. Mays, Water Resources Engineering, Vol. https://static-content.springer.com/image/chp%3A10.1007%2F978-3-030-36979-8_10/MediaObjects/476574_1_En_10_Figa_HTML.gif , No. https://static-content.springer.com/image/chp%3A10.1007%2F978-3-030-36979-8_10/MediaObjects/476574_1_En_10_Figb_HTML.gif ; (Wiley, 2010)
20.
21.
L.W. House, Water Supply Related Electricity Demand in California (California Energy Commission, no. 500, 2006)
22.
23.
Dr. Stephen and S. Marie, What Will Be the Cost of Future Sources of Water for California? (2016)
Metadaten
Titel
Optimal Scheduling of Water Distribution Systems’ Participation in Demand Response and Frequency Regulation Services
verfasst von
Amir Farahmand-Zahed
Alireza Akbari-Dibavar
Behnam Mohammadi-Ivatloo
Kazem Zare
Copyright-Jahr
2020
Buch
Electricity Markets

Print ISBN: 978-3-030-36978-1

Electronic ISBN: 978-3-030-36979-8

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-36979-8_10