# Data-driven Voltage Regulation in Radial Power Distribution Systems

## TL;DR

This paper presents a data-driven voltage regulation method for radial power systems that estimates system parameters from measurements and optimizes DER injections without requiring a full system model.

## Contribution

It introduces a novel framework that estimates voltage sensitivities from limited data and adaptively manages voltage regulation in radial distribution systems.

## Key findings

- Effective voltage regulation achieved in simulations.
- Framework adapts to topology changes.
- Reduces need for detailed system models.

## Abstract

In this paper, we develop a data-driven voltage regulation framework for distributed energy resources (DERs) in a balanced radial power distribution system. The objective is to determine optimal DER power injections that minimize the voltage deviations from a desirable voltage range without knowing a complete power distribution system model a priori. The nonlinear relationship between the voltage magnitudes and the power injections in the power distribution system is approximated by a linear model, the parameters of which---referred to as the voltage sensitivities---can be computed directly using information on the topology and the line parameters. Assuming the knowledge of feasible topology configurations and distribution line resistance-to-reactance ratios, the true topology configuration and corresponding line parameters can be estimated effectively using a few sets of measurements on voltage magnitudes and power injections. Using the estimated voltage sensitivities, the optimal DER power injections can be readily determined by solving a convex optimization problem. The proposed framework is intrinsically adaptive to changes in system conditions such as unknown topology reconfiguration due to its data-driven nature. The effectiveness and efficiency of the proposed framework is validated via numerical simulations on the IEEE 123-bus distribution test feeder.