A Power Flow Sensitivity-Based Approach for Distributed Voltage Regulation and Power Sharing in Droop-Controlled DC Distribution Networks

Aiming at the challenges of design complexity and parameter adjustment difficulties in existing distributed controllers, a novel power flow sensitivity-based distributed cooperative control approach is proposed for voltage regulation and power sharing in droop-controlled DC distribution networks (DCDNs). Firstly, based on the power flow model of droop-controlled DCDNs, a comprehensive sensitivity model is established that correlates bus voltages, voltage source converter (VSC) loading rates, and VSC reference power adjustments. Leveraging the sensitivity model, a discrete-time linear state-space model is developed for DCDNs, using all VSC reference power as control variables, along with the weighted sum of the voltage deviation at the VSC connection point and the loading rate deviation of adjacent VSCs as state variables. A distributed consensus controller is then designed to alleviate the communication burden. The feedback gain design problem is formulated as an unconstrained multi-objective optimization model, which simultaneously enhances dynamic response speed, suppresses overshoot and oscillation, and ensures stability. The model can be efficiently solved by global optimization algorithms such as the genetic algorithm, and the feedback gains can be designed in a systematic and principled manner. The simulation results on a typical four-terminal DCDN under large power disturbances demonstrate that the proposed distributed control method achieves rapid voltage recovery and converter load sharing under a sparse communication network. The design complexity and parameter adjustment difficulties are greatly reduced without losing the control performance.

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Publication Details

Journal
Energies
Published
2025-10-13
DOI
https://doi.org/10.3390/en18205382
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
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article

A Power Flow Sensitivity-Based Approach for Distributed Voltage Regulation and Power Sharing in Droop-Controlled DC Distribution Networks

Xingyu Zhang, D. Liang, Yufei Peng, He Gao et al.
Energies
Microgrid Control and Optimization
article

A Power Flow Sensitivity-Based Approach for Distributed Voltage Regulation and Power Sharing in Droop-Controlled DC Distribution Networks

Xingyu Zhang, D. Liang, Yufei Peng, He Gao, Zhe Zhang, Nan Jiang
article en

Abstract

Aiming at the challenges of design complexity and parameter adjustment difficulties in existing distributed controllers, a novel power flow sensitivity-based distributed cooperative control approach is proposed for voltage regulation and power sharing in droop-controlled DC distribution networks (DCDNs). Firstly, based on the power flow model of droop-controlled DCDNs, a comprehensive sensitivity model is established that correlates bus voltages, voltage source converter (VSC) loading rates, and VSC reference power adjustments. Leveraging the sensitivity model, a discrete-time linear state-space model is developed for DCDNs, using all VSC reference power as control variables, along with the weighted sum of the voltage deviation at the VSC connection point and the loading rate deviation of adjacent VSCs as state variables. A distributed consensus controller is then designed to alleviate the communication burden. The feedback gain design problem is formulated as an unconstrained multi-objective optimization model, which simultaneously enhances dynamic response speed, suppresses overshoot and oscillation, and ensures stability. The model can be efficiently solved by global optimization algorithms such as the genetic algorithm, and the feedback gains can be designed in a systematic and principled manner. The simulation results on a typical four-terminal DCDN under large power disturbances demonstrate that the proposed distributed control method achieves rapid voltage recovery and converter load sharing under a sparse communication network. The design complexity and parameter adjustment difficulties are greatly reduced without losing the control performance.

EnergiesVol. 18(20)
Hebei University of Technology (CN), Inner Mongolia Electric Power (China) (CN)
Openalex Percentile: Top 63%
Microgrid Control and Optimization
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