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arXiv · 2203.09190

Optimal Adaptive Droop Design via a Modified Relaxation of the OPF

H. Sekhavatmanesh·G. Ferrari-Trecate·S. Mastellone
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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 (e.g., current and voltage limits). As a first contribution, a mixed integer linear model of the droop characteristics is developed. According to this model, a droop regulated generation unit is represented as a constant power generator in parallel with a constant impedance load. As a second contribution, a Modified Augmented Relaxed Optimal Power Flow (MAROPF) formulation is proposed to guarantee that the electrical security constraints are respected in the presence of constant impedance loads in the network. Sufficient conditions for the feasibility of the MAROPF solution are provided. Those conditions can be checked a priori and are valid for several real distribution networks. Furthermore, an iterative approach is proposed to derive an approximate solution to the MAROPF that is close to the global optimal one. The performance of the MAROPF approach and the accuracy of the proposed model are evaluated on standard 34 bus and 85 bus test networks.

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H. Sekhavatmanesh, G. Ferrari-Trecate, S. Mastellone. 2022-03-17. Optimal Adaptive Droop Design via a Modified Relaxation of the OPF. https://arxiv.org/abs/2203.09190

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