A novel transactive energy control mechanism for collaborative networked microgrids

Weijia Liu, Junpeng Zhan, C. Y. Chung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

91 Citations (Scopus)

Abstract

Collaboration of networked microgrids (NMGs) with diverse generation sources is a promising solution to smooth volatile generation output and enhance the utilization efficiency of renewable energies. In addition to centralized and decentralized collaboration mechanisms, transactive energy control (TEC) is an emerging and effective market-based control to enable energy transactions among distributed entities such as NMGs. However, existing studies on TEC suffer from several major weaknesses such as unconstrained/simplified model formulations and slow convergence rates. This paper proposes a novel TEC mechanism to tackle these weaknesses. First, the centralized mechanism, decentralized mechanism, and subgradient-based TEC mechanism to coordinate the operation of NMGs are briefly reviewed and modeled by a scenario-based stochastic optimization method. A new TEC mechanism is then proposed, consisting of a TEC framework, mathematical model, pricing rule, and algorithm. The optimality of the proposed TEC mathematical model and pricing rule is demonstrated. The effectiveness of the proposed TEC mechanism is verified in case- studies where the NMGs operate in grid-connected, islanded, and congested modes. The advantages of the proposed TEC mechanism are also illustrated through comparisons with the centralized mechanism, decentralized mechanism, and subgradient-based TEC mechanism.

Original languageEnglish
Article number8534390
Pages (from-to)2048-2060
Number of pages13
JournalIEEE Transactions on Power Systems
Volume34
Issue number3
DOIs
Publication statusPublished - May 2019
Externally publishedYes

Keywords

  • Decentralized optimization
  • Electricity market
  • Networked microgrids
  • Renewable energy
  • Transactive energy control

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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