Security Constrained Unit Commitment and Economic Dispatch by AC Sensitivity Factors

Conference Paper (2022)
Author(s)

Gioacchino Tricarico (Politecnico di Bari)

Raju Wagle (The Arctic University of Norway)

Luis Santiago Azuara-Grande (Carlos III University of Madrid)

F. González-Longatt (University of South-Eastern Norway, University of Exeter)

M Dicorato (Politecnico di Bari)

Giuseppe Forte (Politecnico di Bari)

Jose Luis Rueda Rueda (TU Delft - Intelligent Electrical Power Grids)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2022 Gioacchino Tricarico, Raju Wagle, Luis Santiago Azuara-Grande, Francisco Gonzalez-Longatt, Maria Dicorato, Giuseppe Forte, José L. Rueda
DOI related publication
https://doi.org/10.1109/ARGENCON55245.2022.9939863
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Gioacchino Tricarico, Raju Wagle, Luis Santiago Azuara-Grande, Francisco Gonzalez-Longatt, Maria Dicorato, Giuseppe Forte, José L. Rueda
Research Group
Intelligent Electrical Power Grids
Pages (from-to)
1-5
ISBN (print)
978-1-6654-8015-4
ISBN (electronic)
978-1-6654-8014-7
Reuse Rights

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Abstract

The dispatch schedule of the electrical power plant units is the result of the solution to the unit commitment optimisation problem, and it minimises the cost of production considering pre-defined technical limits. The security-constrained unit commitment problem has been defined as including the network constraints in the previously mentioned optimisation problem to obtain a feasible power system solution. The traditional security-constrained unit commitment methods are based on the DC-power flow model, where the network losses and voltage magnitudes are neglected in the problem formulation. This paper proposed a bi-stage security-constrained unit commitment with an economic dispatch (SCUCED) optimisation problem. A merit-order-based zonal day-ahead market problem is solved in the first stage to define a preliminary generation commitment. In the second stage, the SCUCED is solved based on the AC-power flow model and sensitivity factors to embed the full network representation in the optimisation problem. In this paper, the proposed method is illustrated by an application to a modified version of the IEEE 39-bus test system.

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