Dynamic Power Distribution System Management With a Locally Connected Communication Network

Coordinated optimization and control of distribution-level assets enables a reliable and optimal integration of massive amount of distributed energy resources (DERs) and facilitates distribution system management (DSM). Accordingly, the objective is to coordinate the power injection at the DERs to m...

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Published in:IEEE journal of selected topics in signal processing Vol. 12; no. 4; pp. 673 - 687
Main Authors: Zhang, Kaiqing, Shi, Wei, Zhu, Hao, DallAnese, Emiliano, Basar, Tamer
Format: Journal Article
Language:English
Published: New York IEEE 01.08.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Analytical models
asynchronous algorithm
Communication
Communication networks
communications
Communications networks
Communications systems
control
Convergence
coordinated optimization
DERs
distributed algorithm
distributed energy resources
Distributed generation
distribution
Distribution system management
Economic models
Electric power distribution
Energy management
Energy sources
equilibrium learning
Error analysis
game theoretical control
Game theory
Heuristic algorithms
Mathematical analysis
Mathematical models
POWER TRANSMISSION AND DISTRIBUTION
Real-time systems
Resource management
Signal processing algorithms
Voltage control
ISSN:1932-4553, 1941-0484
Online Access:Get full text
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Summary:Coordinated optimization and control of distribution-level assets enables a reliable and optimal integration of massive amount of distributed energy resources (DERs) and facilitates 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, and line losses, to be close to a desired profile. By and large, the performance of the DSM algorithms has been challenged by two factors: 1) the possibly nonstrongly connected communication network over DERs that hinders the coordination; and 2) 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 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. Extensive numerical tests on both synthetic and realistic cases corroborate the analytical results derived.
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content type line 14
AC36-08GO28308
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
NREL/JA-5D00-70940
ISSN:1932-4553
1941-0484
DOI:10.1109/JSTSP.2018.2837338