Optimal Adaptive Droop Design via a Modified Relaxation of the OPF
H. Sekhavatmanesh (Member, IEEE), G. Ferrari-Trecate (Senior Member,, IEEE), and S. Mastellone (Member, IEEE)

TL;DR
This paper introduces a convex optimization method for dynamically reconfiguring droop regulators in power grids with high renewable energy penetration, ensuring voltage stability and security under variable conditions.
Contribution
It develops a mixed integer linear model of droop characteristics and proposes a Modified Augmented Relaxed OPF for robust, optimal grid operation with high RES integration.
Findings
The MAROPF approach effectively maintains voltage and current limits.
The model accurately predicts droop regulator behavior.
The method improves grid security and efficiency in test networks.
Abstract
The ever increasing penetration of Renewable Energy Resources (RESs) in power distribution networks has brought, among others, the challenge of maintaining the grid voltages within the secure region. Employing droop voltage regulators on the RES inverters is an efficient and low cost solution to reach this objective. However, fixing droop parameters or optimizing them only for overvoltage conditions does not provide the required robustness and optimality under changing operating conditions. In this paper, a convex optimization approach is proposed for reconfiguring PV and QV droop regulators during online operation. The objective is to minimize power curtailment, power losses, and voltage deviation subject to electrical security constraints. This enables to optimally operate the grid with high RES penetration under variable conditions while preserving electrical security constraints…
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