Computation-Efficient Algorithm for Distributed Feedback Optimization of Distribution Grids

Chin-Yao Chang; Xinyang Zhou; Andrey Bernstein

doi:10.1109/SmartGridComm47815.2020.9302966

Computation-Efficient Algorithm for Distributed Feedback Optimization of Distribution Grids

Chin-Yao Chang, Xinyang Zhou, Andrey Bernstein

Power Systems Engineering

Research output: Contribution to conference › Paper › peer-review

1 Scopus Citations

Abstract

Feedback-based optimization algorithms use real-time measurements to update the optimal control for the underlying system which may not be fully identified. Recently, we have developed a distributed feedback-based algorithm [1] that avoids the requirement of fast communication between central computing and local actuator/sensor agents. This paper extends the work by greatly reducing the number of copies of variables involved in the distributed feedback-based algorithm, which results in faster convergence and lower communication requirement. The main idea is to leverage the specific structural properties of the admittance matrix for distribution systems with tree network topology. We also show the effectiveness of the proposed algorithm in simulations.

Original language	American English
Number of pages	6
DOIs	https://doi.org/10.1109/SmartGridComm47815.2020.9302966 https://doi.org/10.1109/SmartGridComm47815.2020.9302966
State	Published - 11 Nov 2020
Event	2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020 - Tempe, United States Duration: 11 Nov 2020 → 13 Nov 2020

Conference

Conference	2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020
Country/Territory	United States
City	Tempe
Period	11/11/20 → 13/11/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

NREL Publication Number

NREL/CP-5D00-77751

Keywords

control algorithm
distributed algorithm
distribution systems
feedback-based algorithm
optimal power flow

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Chang, C.-Y., Zhou, X., & Bernstein, A. (2020). Computation-Efficient Algorithm for Distributed Feedback Optimization of Distribution Grids. Paper presented at 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020, Tempe, United States. https://doi.org/10.1109/SmartGridComm47815.2020.9302966, https://doi.org/10.1109/SmartGridComm47815.2020.9302966

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abstract = "Feedback-based optimization algorithms use real-time measurements to update the optimal control for the underlying system which may not be fully identified. Recently, we have developed a distributed feedback-based algorithm [1] that avoids the requirement of fast communication between central computing and local actuator/sensor agents. This paper extends the work by greatly reducing the number of copies of variables involved in the distributed feedback-based algorithm, which results in faster convergence and lower communication requirement. The main idea is to leverage the specific structural properties of the admittance matrix for distribution systems with tree network topology. We also show the effectiveness of the proposed algorithm in simulations.",

keywords = "control algorithm, distributed algorithm, distribution systems, feedback-based algorithm, optimal power flow",

author = "Chin-Yao Chang and Xinyang Zhou and Andrey Bernstein",

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Chang, C-Y , Zhou, X & Bernstein, A 2020, 'Computation-Efficient Algorithm for Distributed Feedback Optimization of Distribution Grids', Paper presented at 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020, Tempe, United States, 11/11/20 - 13/11/20. https://doi.org/10.1109/SmartGridComm47815.2020.9302966, https://doi.org/10.1109/SmartGridComm47815.2020.9302966

Computation-Efficient Algorithm for Distributed Feedback Optimization of Distribution Grids. / Chang, Chin-Yao ; Zhou, Xinyang ; Bernstein, Andrey.
2020. Paper presented at 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020, Tempe, United States.

Research output: Contribution to conference › Paper › peer-review

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AU - Chang, Chin-Yao

AU - Zhou, Xinyang

AU - Bernstein, Andrey

PY - 2020/11/11

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N2 - Feedback-based optimization algorithms use real-time measurements to update the optimal control for the underlying system which may not be fully identified. Recently, we have developed a distributed feedback-based algorithm [1] that avoids the requirement of fast communication between central computing and local actuator/sensor agents. This paper extends the work by greatly reducing the number of copies of variables involved in the distributed feedback-based algorithm, which results in faster convergence and lower communication requirement. The main idea is to leverage the specific structural properties of the admittance matrix for distribution systems with tree network topology. We also show the effectiveness of the proposed algorithm in simulations.

AB - Feedback-based optimization algorithms use real-time measurements to update the optimal control for the underlying system which may not be fully identified. Recently, we have developed a distributed feedback-based algorithm [1] that avoids the requirement of fast communication between central computing and local actuator/sensor agents. This paper extends the work by greatly reducing the number of copies of variables involved in the distributed feedback-based algorithm, which results in faster convergence and lower communication requirement. The main idea is to leverage the specific structural properties of the admittance matrix for distribution systems with tree network topology. We also show the effectiveness of the proposed algorithm in simulations.

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Chang CY , Zhou X , Bernstein A. Computation-Efficient Algorithm for Distributed Feedback Optimization of Distribution Grids. 2020. Paper presented at 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020, Tempe, United States. doi: 10.1109/SmartGridComm47815.2020.9302966, 10.1109/SmartGridComm47815.2020.9302966

Computation-Efficient Algorithm for Distributed Feedback Optimization of Distribution Grids

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Keywords

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