Security Constrained Unit Commitment and Economic Dispatch by AC Sensitivity Factors

Conference paper (2022)

Authors

Gioacchino Tricarico Polytechnic University of Bari
Raju Wagle The Arctic University of Norway
Luis Santiago Azuara-Grande Carlos III University of Madrid
Francisco Gonzalez-Longatt University of South-Eastern Norway, University of Exeter
Maria Dicorato Polytechnic University of Bari
Giuseppe Forte Polytechnic University of Bari
José L. Rueda Intelligent Electrical Power Grids - EEMCS
Research Group
Intelligent Electrical Power Grids (EEMCS) (TU Delft)
Copyright: © 2022 Gioacchino Tricarico, Raju Wagle, Luis Santiago Azuara-Grande, Francisco Gonzalez-Longatt, Maria Dicorato, Giuseppe Forte, José L. Rueda
DOI
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https://doi.org/10.1109/ARGENCON55245.2022.9939863
Day-ahead market Security-constrained unit commitment and economic dispatch IEEE 39-bus system
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Published Date

2022

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

Intelligent Electrical Power Grids

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.