A Novel Consensus-Based Distributed Algorithm for Economic Dispatch Based on Local Estimation of Power Mismatch

This paper proposes a novel consensus-based distributed control algorithm for solving the economic dispatch (ED) problem of distributed generators (DGs). A legacy central controller can be eliminated in order to avoid a single point of failure, relieve computational burden, maintain data privacy, an...

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Vydané v:IEEE transactions on smart grid Ročník 9; číslo 6; s. 5930 - 5942
Hlavní autori: Pourbabak, Hajir, Luo, Jingwei, Chen, Tao, Su, Wencong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 01.11.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1949-3053, 1949-3061
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Abstract This paper proposes a novel consensus-based distributed control algorithm for solving the economic dispatch (ED) problem of distributed generators (DGs). A legacy central controller can be eliminated in order to avoid a single point of failure, relieve computational burden, maintain data privacy, and support plug-and-play functionalities. The optimal ED is achieved by allowing the iterative coordination of local agents (consumers and DGs). As coordination information, the local estimation of power mismatch is shared among DGs through communication networks and does not contain any private information, ultimately contributing to a fair electricity market. Additionally, the proposed distributed algorithm is particularly designed for easy implementation and configuration of a large number of agents in which the distributed decision making can be implemented in a simple proportional-integral or integral controller. In MATLAB/Simulink simulation, the accuracy of the proposed distributed algorithm is demonstrated in a 29-node system in comparison with the centralized algorithm. Scalability and a fast convergence rate are also demonstrated in a 1400-node case study. Further, the experimental test demonstrates the practical performance of the proposed distributed algorithm using the VOLTTRON platform and a cluster of low-cost credit-card-size single-board PCs.
AbstractList This paper proposes a novel consensus-based distributed control algorithm for solving the economic dispatch (ED) problem of distributed generators (DGs). A legacy central controller can be eliminated in order to avoid a single point of failure, relieve computational burden, maintain data privacy, and support plug-and-play functionalities. The optimal ED is achieved by allowing the iterative coordination of local agents (consumers and DGs). As coordination information, the local estimation of power mismatch is shared among DGs through communication networks and does not contain any private information, ultimately contributing to a fair electricity market. Additionally, the proposed distributed algorithm is particularly designed for easy implementation and configuration of a large number of agents in which the distributed decision making can be implemented in a simple proportional-integral or integral controller. In MATLAB/Simulink simulation, the accuracy of the proposed distributed algorithm is demonstrated in a 29-node system in comparison with the centralized algorithm. Scalability and a fast convergence rate are also demonstrated in a 1400-node case study. Further, the experimental test demonstrates the practical performance of the proposed distributed algorithm using the VOLTTRON platform and a cluster of low-cost credit-card-size single-board PCs.
Author Chen, Tao
Su, Wencong
Luo, Jingwei
Pourbabak, Hajir
Author_xml – sequence: 1
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  orcidid: 0000-0002-1252-1546
  surname: Pourbabak
  fullname: Pourbabak, Hajir
  email: hpourbab@umich.edu
  organization: Department of Electrical and Computer Engineering, College of Engineering and Computer Science, University of Michigan-Dearborn, Dearborn, MI, USA
– sequence: 2
  givenname: Jingwei
  surname: Luo
  fullname: Luo, Jingwei
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  organization: Department of Electrical and Computer Engineering, College of Engineering and Computer Science, University of Michigan-Dearborn, Dearborn, MI, USA
– sequence: 3
  givenname: Tao
  surname: Chen
  fullname: Chen, Tao
  email: taochn@umich.edu
  organization: Department of Electrical and Computer Engineering, College of Engineering and Computer Science, University of Michigan-Dearborn, Dearborn, MI, USA
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  givenname: Wencong
  orcidid: 0000-0003-1482-3078
  surname: Su
  fullname: Su, Wencong
  email: wencong@umich.edu
  organization: Department of Electrical and Computer Engineering, College of Engineering and Computer Science, University of Michigan-Dearborn, Dearborn, MI, USA
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Snippet This paper proposes a novel consensus-based distributed control algorithm for solving the economic dispatch (ED) problem of distributed generators (DGs). A...
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SubjectTerms Algorithm design and analysis
Algorithms
Communication networks
Computer simulation
consensus algorithm
Control theory
Decision making
Distributed algorithms
distributed control
Distributed generation
distributed generator
Economic dispatch
Economics
Electricity supply industry
Generators
Integrals
Iterative methods
Power consumption
Power dispatch
Power systems
Title A Novel Consensus-Based Distributed Algorithm for Economic Dispatch Based on Local Estimation of Power Mismatch
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