Distributed model predictive control for wide area measurement power systems under malicious attacks

New Technologies For Measurement Systems Distributed On A Wide Area

Control Inversion: A Clustering-Based Method for Distributed Wide-Area Control of Power Systems

Wide-area control (WAC) has been shown to be an effective tool for damping low-frequency oscillations in power systems. In the current state of art, WAC is challenged by two main factors namely, scalability of design and complexity of implementation. In this paper we present a control design called control inversion that bypasses both of these challenges using the idea of clustering. The basic ...

Distributed Economic Model Predictive Control under inexact minimization with application to Power Systems Master Thesis

This thesis investigates distributed economic model predictive control (DEMPC) for linear coupled systems under inexact distributed minimization. The theoretical results are applied to solve the real time economic dispatch problem for distributed power systems. The goal is to provide a comprehensive framework for DEMPC with iterative dual algorithms, starting with offline computations, going th...

Model Predictive Control of Distributed Energy Resources with Predictive Set-Points for Grid-Connected Operation

This paper proposes an MPC - based (model predictive control) scheme to control active and reactive powers of DERs (distributed energy resources) in a grid - connected mode (either through a bus with its associated loads as a PCC (point of common coupling) or an MG (micro - grid)). DER may be a DG (distributed generation) or an ESS (energy storage system). In the proposed scheme, the set - poin...

Wide Area Measurement Systems