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Title: A Novel Transactive Energy Control Mechanism for Collaborative Networked Microgrids

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 here a novel TEC mechanism to tackle these weaknesses. First, the centralized mechanism, de-centralized 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.

Authors:
 [1];  [2];  [1]
  1. Univ. of Saskatchewan, Saskatoon, SK (Canada). Dept. of Electrical and Computer Engineering
  2. Univ. of Saskatchewan, Saskatoon, SK (Canada). Dept. of Electrical and Computer Engineering; Brookhaven National Lab. (BNL), Upton, NY (United States). Sustainable Energy Technologies Dept.
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States); Univ. of Saskatchewan, Saskatoon, SK (Canada)
Sponsoring Org.:
USDOE; Natural Sciences and Engineering Research Council of Canada (NSERC); Saskatchewan Power Corporation (SaskPower) (Canada)
OSTI Identifier:
1501584
Report Number(s):
BNL-211413-2019-JAAM
Journal ID: ISSN 0885-8950
Grant/Contract Number:  
SC0012704
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Power Systems
Additional Journal Information:
Journal Name: IEEE Transactions on Power Systems; Journal ID: ISSN 0885-8950
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; decentralized optimization; electricity market; networked microgrids; renewable energy; transactive energy control

Citation Formats

Liu, Weijia, Zhan, Junpeng, and Chung, C. Y. A Novel Transactive Energy Control Mechanism for Collaborative Networked Microgrids. United States: N. p., 2018. Web. doi:10.1109/TPWRS.2018.2881251.
Liu, Weijia, Zhan, Junpeng, & Chung, C. Y. A Novel Transactive Energy Control Mechanism for Collaborative Networked Microgrids. United States. doi:10.1109/TPWRS.2018.2881251.
Liu, Weijia, Zhan, Junpeng, and Chung, C. Y. Wed . "A Novel Transactive Energy Control Mechanism for Collaborative Networked Microgrids". United States. doi:10.1109/TPWRS.2018.2881251. https://www.osti.gov/servlets/purl/1501584.
@article{osti_1501584,
title = {A Novel Transactive Energy Control Mechanism for Collaborative Networked Microgrids},
author = {Liu, Weijia and Zhan, Junpeng and Chung, C. Y.},
abstractNote = {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 here a novel TEC mechanism to tackle these weaknesses. First, the centralized mechanism, de-centralized 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.},
doi = {10.1109/TPWRS.2018.2881251},
journal = {IEEE Transactions on Power Systems},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {11}
}

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