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Title: Dynamic Power Distribution System Management With a Locally Connected Communication Network

Abstract

Coordinated optimization and control of distribution-level assets can enable a reliable and optimal integration of massive amount of distributed energy resources (DERs) and facilitate distribution system management (DSM). Accordingly, the objective is to coordinate the power injection at the DERs to maintain certain quantities across the network, e.g., voltage magnitude, line flows, or line losses, to be close to a desired profile. By and large, the performance of the DSM algorithms has been challenged by two factors: i) the possibly non-strongly connected communication network over DERs that hinders the coordination; ii) the dynamics of the real system caused by the DERs with heterogeneous capabilities, time-varying operating conditions, and real-time measurement mismatches. In this paper, we investigate the modeling and algorithm design and analysis with the consideration of these two factors. In particular, a game theoretic characterization is first proposed to account for a locally connected communication network over DERs, along with the analysis of the existence and uniqueness of the Nash equilibrium (NE) therein. To achieve the equilibrium in a distributed fashion, a projected-gradient-based asynchronous DSM algorithm is then advocated. The algorithm performance, including the convergence speed and the tracking error, is analytically guaranteed under the dynamic setting. In conclusion,more » extensive numerical tests on both synthetic and realistic cases corroborate the analytical results derived.« less

Authors:
 [1];  [2];  [3];  [4];  [1]
  1. Univ. of Illinois, Urbana-Champaign, IL (United States)
  2. Arizona State Univ., Tempe, AZ (United States)
  3. Univ. of Texas, Austin, TX (United States)
  4. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1454751
Report Number(s):
NREL/JA-5D00-70940
Journal ID: ISSN 1932-4553
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Journal of Selected Topics in Signal Processing
Additional Journal Information:
Journal Volume: 12; Journal Issue: 4; Journal ID: ISSN 1932-4553
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; coordinated optimization; control; distribution; communications; distributed energy resources; DERs

Citation Formats

Zhang, Kaiqing, Shi, Wei, Zhu, Hao, Dall'Anese, Emiliano, and Basar, Tamer. Dynamic Power Distribution System Management With a Locally Connected Communication Network. United States: N. p., 2018. Web. doi:10.1109/JSTSP.2018.2837338.
Zhang, Kaiqing, Shi, Wei, Zhu, Hao, Dall'Anese, Emiliano, & Basar, Tamer. Dynamic Power Distribution System Management With a Locally Connected Communication Network. United States. doi:10.1109/JSTSP.2018.2837338.
Zhang, Kaiqing, Shi, Wei, Zhu, Hao, Dall'Anese, Emiliano, and Basar, Tamer. Wed . "Dynamic Power Distribution System Management With a Locally Connected Communication Network". United States. doi:10.1109/JSTSP.2018.2837338. https://www.osti.gov/servlets/purl/1454751.
@article{osti_1454751,
title = {Dynamic Power Distribution System Management With a Locally Connected Communication Network},
author = {Zhang, Kaiqing and Shi, Wei and Zhu, Hao and Dall'Anese, Emiliano and Basar, Tamer},
abstractNote = {Coordinated optimization and control of distribution-level assets can enable a reliable and optimal integration of massive amount of distributed energy resources (DERs) and facilitate distribution system management (DSM). Accordingly, the objective is to coordinate the power injection at the DERs to maintain certain quantities across the network, e.g., voltage magnitude, line flows, or line losses, to be close to a desired profile. By and large, the performance of the DSM algorithms has been challenged by two factors: i) the possibly non-strongly connected communication network over DERs that hinders the coordination; ii) the dynamics of the real system caused by the DERs with heterogeneous capabilities, time-varying operating conditions, and real-time measurement mismatches. In this paper, we investigate the modeling and algorithm design and analysis with the consideration of these two factors. In particular, a game theoretic characterization is first proposed to account for a locally connected communication network over DERs, along with the analysis of the existence and uniqueness of the Nash equilibrium (NE) therein. To achieve the equilibrium in a distributed fashion, a projected-gradient-based asynchronous DSM algorithm is then advocated. The algorithm performance, including the convergence speed and the tracking error, is analytically guaranteed under the dynamic setting. In conclusion, extensive numerical tests on both synthetic and realistic cases corroborate the analytical results derived.},
doi = {10.1109/JSTSP.2018.2837338},
journal = {IEEE Journal of Selected Topics in Signal Processing},
number = 4,
volume = 12,
place = {United States},
year = {2018},
month = {5}
}

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