Optimization and Visualization Tools for Situational Awareness in Highly Renewable Power Systems

Title: Optimization and Visualization Tools for Situational Awareness in Highly Renewable Power Systems
Authors: Cuffe, Paul
Permanent link: http://hdl.handle.net/10197/11725
Date: 1-Oct-2020
Online since: 2020-11-24T16:39:56Z
Abstract: This paper proposes new tools for predicting and visualising the plausible near term shifts in branch loading that may arise due to output fluctuations from renewable generators. These tools are proposed to enhance situational awareness for control room operators, by providing early warnings of where bottlenecks may manifest in a transmission system. For predicting plausible branch loading shifts, a linear optimal power flow formulation is presented which uses a novel objective function to characterise the maximum loading a branch could be exposed to in the short term. This analysis therefore identifies which branches could become overloaded due to shifts in output from volatile generators. Equivalently, these branches can be seen as congestion bottlenecks which may cause curtailment of renewable generation. To allow the system operator to maintain awareness of such potentialities, these congestable branches are highlighted on a system diagram which is drawn to explicitly portray the electrical distance between components in the network.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2020 IEEE
Keywords: Power systemsRenewable energy sourcesBranch loading envelopesNetwork visualisations
DOI: 10.1109/energycon48941.2020.9236524
Other versions: https://web.cvent.com/event/5569bdf7-1e9a-43c8-9f19-d068c2ef2267
Language: en
Status of Item: Peer reviewed
Is part of: 2020 6th IEEE International Energy Conference (ENERGYCon)
Conference Details: The 6th IEEE International Energy Conference (EnergyCon 2020), Gammarth, Tunisia (held online due to coronavirus outbreak), 28 September - 1 October 2020
ISBN: 978-1-7281-2956-3
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Electrical and Electronic Engineering Research Collection

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