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Title: Distributed Energy Resources Coordination over Time-varying Directed Communication Networks

Abstract

In this study, we consider the optimal coordination problem for distributed energy resources (DERs) including distributed generators and energy storages. We first propose an algorithm based on the push-sum and gradient method to solve the optimal DER coordination problem in a distributed manner. In the proposed algorithm, each DER only maintains a set of variables and updates them through information exchange with a few neighboring DERs over a time-varying directed communication network. We show that the proposed distributed algorithm with appropriately chosen diminishing step-sizes solves the optimal DER coordination problem if the time-varying directed communication network is uniformly jointly strongly connected. Moreover, in order to improve the convergence speed and to reduce the communication burden, we propose an accelerated distributed algorithm with a fixed step-size. We show that the new proposed algorithm exponentially solves the optimal DER coordination problem if the cost functions satisfy an additional assumption and the selected step-size is less than a certain critical value. Both proposed distributed algorithms are validated and evaluated using the IEEE 39-bus system.

Authors:
 [1];  [2];  [3];  [4];  [5];  [6];  [7]
  1. Univ. of North Texas, Denton, TX (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Univ. of Kansas, Lawrence, KS (United States)
  4. Univ. of California, Riverside, CA (United States)
  5. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  6. Chinese Academy of Sciences (CAS), Beijing (China)
  7. Royal Inst. of Technology, Stockholm (Sweden)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1530091
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Control of Network Systems
Additional Journal Information:
Journal Name: IEEE Transactions on Control of Network Systems; Journal ID: ISSN 2372-2533
Country of Publication:
United States
Language:
English
Subject:
distributed coordination; energy storage; multiagent systems; multi-step optimization; push-sum and gradient method; smart grid

Citation Formats

Yang, Tao, Wu, Di, Fang, Huazhen, Ren, Wei, Wang, Hong, Hong, Yiguang, and Johansson, Karl H. Distributed Energy Resources Coordination over Time-varying Directed Communication Networks. United States: N. p., 2019. Web. doi:10.1109/TCNS.2019.2921284.
Yang, Tao, Wu, Di, Fang, Huazhen, Ren, Wei, Wang, Hong, Hong, Yiguang, & Johansson, Karl H. Distributed Energy Resources Coordination over Time-varying Directed Communication Networks. United States. doi:10.1109/TCNS.2019.2921284.
Yang, Tao, Wu, Di, Fang, Huazhen, Ren, Wei, Wang, Hong, Hong, Yiguang, and Johansson, Karl H. Wed . "Distributed Energy Resources Coordination over Time-varying Directed Communication Networks". United States. doi:10.1109/TCNS.2019.2921284.
@article{osti_1530091,
title = {Distributed Energy Resources Coordination over Time-varying Directed Communication Networks},
author = {Yang, Tao and Wu, Di and Fang, Huazhen and Ren, Wei and Wang, Hong and Hong, Yiguang and Johansson, Karl H.},
abstractNote = {In this study, we consider the optimal coordination problem for distributed energy resources (DERs) including distributed generators and energy storages. We first propose an algorithm based on the push-sum and gradient method to solve the optimal DER coordination problem in a distributed manner. In the proposed algorithm, each DER only maintains a set of variables and updates them through information exchange with a few neighboring DERs over a time-varying directed communication network. We show that the proposed distributed algorithm with appropriately chosen diminishing step-sizes solves the optimal DER coordination problem if the time-varying directed communication network is uniformly jointly strongly connected. Moreover, in order to improve the convergence speed and to reduce the communication burden, we propose an accelerated distributed algorithm with a fixed step-size. We show that the new proposed algorithm exponentially solves the optimal DER coordination problem if the cost functions satisfy an additional assumption and the selected step-size is less than a certain critical value. Both proposed distributed algorithms are validated and evaluated using the IEEE 39-bus system.},
doi = {10.1109/TCNS.2019.2921284},
journal = {IEEE Transactions on Control of Network Systems},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {6}
}

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This content will become publicly available on June 5, 2020
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