Dissipativity-Based Synthesis of Distributed Control and Communication Topology Co-Design for AC Microgrids

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Najafirad, Mohammad Javad, Welikala, Shirantha, Wu, Lei, Antsaklis, Panos J.
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917405428547584
author Najafirad, Mohammad Javad
Welikala, Shirantha
Wu, Lei
Antsaklis, Panos J.
author_facet Najafirad, Mohammad Javad
Welikala, Shirantha
Wu, Lei
Antsaklis, Panos J.
contents This paper introduces a dissipativity-based framework for the joint design of distributed controllers and communication topologies in AC microgrids (MGs), providing robust performance guarantees for voltage regulation, frequency synchronization, and proportional power sharing across distributed generators (DGs). The closed-loop AC MG is represented as a networked system in which DGs, distribution lines, and loads function as interconnected subsystems linked through cyber-physical networks. Each DG utilizes a three-layer hierarchical control structure: a steady-state controller for operating point configuration, a local feedback controller for voltage tracking, and a distributed droop-free controller implementing normalized power consensus for frequency coordination and proportional power distribution. The operating point design is formulated as an optimization problem. Leveraging dissipativity theory, we derive necessary and sufficient subsystem dissipativity conditions. The global co-design is then cast as a convex linear matrix inequality (LMI) optimization that jointly determines distributed controller parameters and sparse communication architecture while managing the highly nonlinear, coupled dq-frame dynamics characteristic of AC systems. Simulation results from an islanded AC MG in a MATLAB/Simulink environment verify that the proposed framework achieves robust voltage regulation, frequency synchronization, and proportional power sharing through the optimized communication topology.
format Preprint
id arxiv_https___arxiv_org_abs_2511_06576
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Dissipativity-Based Synthesis of Distributed Control and Communication Topology Co-Design for AC Microgrids
Najafirad, Mohammad Javad
Welikala, Shirantha
Wu, Lei
Antsaklis, Panos J.
Systems and Control
This paper introduces a dissipativity-based framework for the joint design of distributed controllers and communication topologies in AC microgrids (MGs), providing robust performance guarantees for voltage regulation, frequency synchronization, and proportional power sharing across distributed generators (DGs). The closed-loop AC MG is represented as a networked system in which DGs, distribution lines, and loads function as interconnected subsystems linked through cyber-physical networks. Each DG utilizes a three-layer hierarchical control structure: a steady-state controller for operating point configuration, a local feedback controller for voltage tracking, and a distributed droop-free controller implementing normalized power consensus for frequency coordination and proportional power distribution. The operating point design is formulated as an optimization problem. Leveraging dissipativity theory, we derive necessary and sufficient subsystem dissipativity conditions. The global co-design is then cast as a convex linear matrix inequality (LMI) optimization that jointly determines distributed controller parameters and sparse communication architecture while managing the highly nonlinear, coupled dq-frame dynamics characteristic of AC systems. Simulation results from an islanded AC MG in a MATLAB/Simulink environment verify that the proposed framework achieves robust voltage regulation, frequency synchronization, and proportional power sharing through the optimized communication topology.
title Dissipativity-Based Synthesis of Distributed Control and Communication Topology Co-Design for AC Microgrids
topic Systems and Control
url https://arxiv.org/abs/2511.06576