Distributed Optimal Voltage Control With Asynchronous and Delayed Communication

The increased penetration of volatile renewable energy into distribution networks necessities more efficient distributed voltage control. In this paper, we design distributed feedback control algorithms where each bus can inject both active and reactive power into the grid to regulate the voltages....

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Bibliographic Details
Published in:IEEE transactions on smart grid Vol. 11; no. 4; pp. 3469 - 3482
Main Authors: Magnusson, Sindri, Qu, Guannan, Li, Na
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.07.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Communication
Computer and Systems Sciences
Computer simulation
Control algorithms
Control theory
Convergence
data- och systemvetenskap
Delays
distributed control
Distributed optimization
Electrical measurement
Energy distribution
Feedback control
Iterative methods
Load fluctuation
Numerical models
Power flow
Reactive power
Reactive power control
smart grid
Voltage control
Voltage measurement
ISSN:1949-3053, 1949-3061, 1949-3061
Online Access:Get full text
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Summary:The increased penetration of volatile renewable energy into distribution networks necessities more efficient distributed voltage control. In this paper, we design distributed feedback control algorithms where each bus can inject both active and reactive power into the grid to regulate the voltages. The control law on each bus is only based on local voltage measurements and communication to its physical neighbors. Moreover, the buses can perform their updates asynchronously without receiving information from their neighbors for periods of time. The algorithm enforces hard upper and lower limits on the active and reactive powers at every iteration. We prove that the algorithm converges to the optimal feasible voltage profile, assuming linear power flows. This provable convergence is maintained under bounded communication delays and asynchronous communications. We further numerically test the performance of the algorithm using the full nonlinear AC power flow model. Our simulations show the effectiveness of our algorithm on realistic networks with both static and fluctuating loads, even in the presence of communication delays.
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ISSN:1949-3053
1949-3061
1949-3061
DOI:10.1109/TSG.2020.2970768