Efficient implementation of MPC-based AGC for real-world systems with low inertia

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Title: Efficient implementation of MPC-based AGC for real-world systems with low inertia
Authors: McNamara, Paul
Milano, Federico
Permanent link: http://hdl.handle.net/10197/10004
Date: May-2018
Online since: 2019-04-17T10:14:41Z
Abstract: The paper discusses practical implementation and computational aspects of an AGC scheme based on model predictive control (MPC) for a real-world power system, namely the all-island Irish transmission system. This system is particularly interesting from the frequency regulation point of view due to the high penetration of wind power generation. This leads to a significant reduction in system inertia, which in turn impacts on the ability of the system operator to regulate the system frequency. The paper compares the performance of the MPC-based AGC with a conventional AGC based on PI controllers and draws relevant conclusions. The case study is a high-resolution simulation of a 1479-bus model of the Irish electrical grid with significant wind penetration, stochastic loads, and controller delays.
Funding Details: European Commission Horizon 2020
Science Foundation Ireland
Type of material: Journal Article
Publisher: Elsevier
Journal: Electric Power Systems Research
Volume: 158
Start page: 315
End page: 323
Copyright (published version): 2018 Elsevier
Keywords: Automatic generation controlModel predictive controlPI controlWind generation
DOI: 15/IA/3074
10.1016/j.epsr.2018.01.017
Language: en
Status of Item: Peer reviewed
Appears in Collections:Electrical and Electronic Engineering Research Collection

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