Work

Consensus-Based Model Predictive Control for Active Power and Voltage Regulation in Active Distribution Networks

Year: 2024

Type: article

Abstract: In this paper a Consensus-based Model Predictive Control (Cb-MPC) is proposed for voltage and active-power control of Distributed Energy Resources (DERs) in grid-connected Active Distribution Networks (ADNs).The design is developed based on the Multiple-Input Multiple-Output (MIMO) model of the ADN to account for mutual interaction between the DERs. In the proposed control scheme, each DER unit is equipped with a controller-observer. The DER's observer implements the consensus part estimating the collective system’s state only exchanging data with the neighbours. The MPC controller for each DER solves the optimal control problem based on its collective state estimate and is robust against unknown scenarios changes of the ADN modeled as parameters uncertainty. The results of numerical simulations validate the effectiveness of the proposed technique in presence of uncertainties and communication sample-and-hold.

Source: Energies

DOI: 10.3390/en17174490

Authors: Gianluca Antonelli, Giuseppe Fusco, Mario RUSSO

Institution: Università degli studi di Cassino e del Lazio Meridionale

Language: English

Topic: Optimal Power Flow Distribution

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,955