Retail Market Equilibrium and Interactions among Reconfigurable Networked Microgrids

Saeid Esmaeili, Amjad Anvari-Moghaddam, Shahram Jadid

Research output: Contribution to journalJournal articleResearchpeer-review

18 Citations (Scopus)
44 Downloads (Pure)

Abstract

In this paper, a retail market equilibrium among a set of competing players, i.e., retailers and Microgrids (MGs), considering Dynamic Line Rating (DLR) constraint and demand response (DR) actions is modeled. In this regard, a multi-follower-type bi-level optimization scheduling for decision making of Distribution System Operator (DSO) and reconfigurable networked MGs with inherently conflicting objectives is presented. In this model, the upper-level player of the Main Problem (MP) minimizes the total cost from DSO’s perspective, while in the lower-level of the MP, networked MGs compete with retailers in the retail electricity market as an interior Sub Problem (SP). In the upper-level of the SP the profit of each MG is maximized, where in the lower-level of the SP the social welfare of the retail market clearing process is maximized. Since the resulting bi-level problem is nonlinear and non-convex, it is transformed into a single-level Mixed-Integer Second-Order Cone Programming (MISOCP) problem using Karush–Kuhn–Tucker (KKT) optimality conditions and linearization techniques. The effectiveness of the proposed model is investigated on a real-test system in both grid-connected and islanded modes under different scenarios.
Original languageEnglish
Article number101628
JournalSustainable Cities and Society
Volume49
Number of pages14
ISSN2210-6707
DOIs
Publication statusPublished - Aug 2019

Keywords

  • Bi-level optimization
  • Hourly reconfiguration
  • Networked microgrids
  • Operation scheduling
  • Retail market

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