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

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posted on 08.01.2020, 08:20 by Paul Cuffe
As submitted to IEEE EnergyCon 2020


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

SFI Strategic Partnership Programme Grant Number SFI/15/SPP/E3125

History

Email Address of Submitting Author

paul.cuffe@ucd.ie

ORCID of Submitting Author

https://orcid.org/0000-0003-4544-9648

Submitting Author's Institution

University College Dublin

Submitting Author's Country

Irish Republic

Exports

Exports