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Online Voltage Regulation of Distribution Systems with Disturbance-Action Controllers

Peng Zhang, Baosen Zhang

TL;DR

The paper tackles online voltage regulation in distribution systems with high penetration of inverter-based DERs under time-varying loads and communications delays. It develops a disturbance-action controller that leverages the closed-loop system response to map disturbances to control actions, updating parameters online within a linearized model $x_{t+1}=B u_t+w_t$. The main theoretical contributions are stability guarantees and robustness bounds (Theorems 5–8) that account for model inaccuracy and latency, along with demonstrations that history information and load generalization improve performance. Practically, the approach offers a robust, real-time voltage-control method that can tolerate modeling errors and delays and scales to networks with significant PV variability.

Abstract

Inverter-based distributed energy resources facilitate the advanced voltage control algorithms in the online setting with the flexibility in both active and reactive power injections. A key challenge is to continuously track the time-varying global optima with the robustness against dynamics inaccuracy and communication delay. In this paper, we introduce the disturbance-action controller by novelly formulating the voltage drop from loads as the system disturbance. The controller alternatively generates the control input and updates the parameters based on the interactions with grids. Under the linearized power flow model, we provide stability conditions of the control policy and the performance degradation to model inaccuracy. The simulation results on the radial distribution networks show the effectiveness of proposed controller under fluctuating loads and significant improvement on the robustness to these challenges. Furthermore, the ability of incorporating history information and generalization to various loads are demonstrated through extensive experiments on the parameter sensitivity.

Online Voltage Regulation of Distribution Systems with Disturbance-Action Controllers

TL;DR

The paper tackles online voltage regulation in distribution systems with high penetration of inverter-based DERs under time-varying loads and communications delays. It develops a disturbance-action controller that leverages the closed-loop system response to map disturbances to control actions, updating parameters online within a linearized model . The main theoretical contributions are stability guarantees and robustness bounds (Theorems 5–8) that account for model inaccuracy and latency, along with demonstrations that history information and load generalization improve performance. Practically, the approach offers a robust, real-time voltage-control method that can tolerate modeling errors and delays and scales to networks with significant PV variability.

Abstract

Inverter-based distributed energy resources facilitate the advanced voltage control algorithms in the online setting with the flexibility in both active and reactive power injections. A key challenge is to continuously track the time-varying global optima with the robustness against dynamics inaccuracy and communication delay. In this paper, we introduce the disturbance-action controller by novelly formulating the voltage drop from loads as the system disturbance. The controller alternatively generates the control input and updates the parameters based on the interactions with grids. Under the linearized power flow model, we provide stability conditions of the control policy and the performance degradation to model inaccuracy. The simulation results on the radial distribution networks show the effectiveness of proposed controller under fluctuating loads and significant improvement on the robustness to these challenges. Furthermore, the ability of incorporating history information and generalization to various loads are demonstrated through extensive experiments on the parameter sensitivity.

Paper Structure

This paper contains 12 sections, 17 equations, 21 figures, 1 algorithm.

Figures (21)

  • Figure 1: One-line diagram of 34-node redial distribution network
  • Figure 2: Total load and PV generation profiles. The downward spikes result from the sharp decrease in PV output (e.g., from cloud cover).
  • Figure : (a) No control
  • Figure : (a) Disturbance-action controller
  • Figure : (a) Overall voltage information
  • ...and 16 more figures

Theorems & Definitions (3)

  • proof
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