• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
  • Help
    • Item Submission
    • Publisher policies
    • User guides
    • FAQs
  • About QSpace
    • Vision & Mission
View Item 
  •   Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Electrical Engineering
  • View Item
  • Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Electrical Engineering
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A centralized stochastic optimal dispatching strategy of networked multi-carrier microgrids considering transactive energy and integrated demand response: Application to water-energy nexus

    Thumbnail
    View/Open
    Publisher version (You have accessOpen AccessIcon)
    Publisher version (Check access options)
    Check access options
    Date
    2022
    Author
    Pezhmani, Yasin
    Oskouei, Morteza Zare
    Rezaei, Navid
    Mehrjerdi, Hasan
    Metadata
    Show full item record
    Abstract
    Over a few decades, energy system operators have sought to achieve appropriate frameworks based on the water-energy nexus issues due to energy crises and the rapid growth of water demand. In this regard, multi-carrier microgrids (MCMGs) have been widely welcomed to implement water-energy nexus-related strategies to meet local energy and water demands. This paper presents a centralized stochastic optimization strategy for energy transactions in networked MCMGs to exploit the potential capabilities of the promoted energy conversion facilities in meeting electricity, thermal, and water demands at the lowest operating cost. To enhance the flexibility and operational cost of the system under severe uncertainties, the day-ahead scheduling of all individual MCMGs is carried out by a central operator with the consideration of transactive energy management (TEM) strategy and integrated demand response program (DRP). The MCMGs can purchase energy from the electricity and gas markets to supply demands and energize local generation resources, and also exchange electrical energy with each other under the TEM strategy. The uncertainties arising from the renewable power generation, energy demands, water demand, and electricity market prices are applied to the optimization model using a scenario-based method. The proposed strategy is formulated as the mixed-integer nonlinear programming problem and is solved under GAMS software. The effectiveness of the proposed strategy is validated using a test system consisting of three networked MCMGs. According to the obtained results, the central operator can reduce the total operating cost of the networked MCMGs considerably if employing the TEM strategy and integrated DRP. 2022 Elsevier Ltd
    DOI/handle
    http://dx.doi.org/10.1016/j.segan.2022.100751
    http://hdl.handle.net/10576/36296
    Collections
    • Electrical Engineering [‎2821‎ items ]

    entitlement


    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Home

    Submit your QU affiliated work

    Browse

    All of Digital Hub
      Communities & Collections Publication Date Author Title Subject Type Language Publisher
    This Collection
      Publication Date Author Title Subject Type Language Publisher

    My Account

    Login

    Statistics

    View Usage Statistics

    About QSpace

    Vision & Mission

    Help

    Item Submission Publisher policiesUser guides FAQs

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Video