Zonal Day-Ahead Energy Market

A Modified Version of the IEEE 39-bus Test System

Conference Paper (2022)
Author(s)

Gioacchino Tricarico (Politecnico di Bari)

Raju Wagle (The Arctic University of Norway)

Maria Dicorato (Politecnico di Bari)

Giuseppe Forte (Politecnico di Bari)

F González-Longatt (University of South-Eastern Norway)

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

Research Group
Intelligent Electrical Power Grids
Copyright
© 2022 Gioacchino Tricarico, Raju Wagle, Maria Dicorato, Giuseppe Forte, Francisco Gonzalez-Longatt, José L. Rueda
DOI related publication
https://doi.org/10.1109/ISGTAsia54193.2022.10003588
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Gioacchino Tricarico, Raju Wagle, Maria Dicorato, Giuseppe Forte, Francisco Gonzalez-Longatt, José L. Rueda
Research Group
Intelligent Electrical Power Grids
Pages (from-to)
86-90
ISBN (print)
979-8-3503-9967-7
ISBN (electronic)
979-8-3503-9966-0
Reuse Rights

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Abstract

The increasing penetration of renewable energy resources (RES) in transmission system operating conditions require a suitable test system and a dataset to cope with current issues. RES penetration remarkably affects day-ahead market outcomes regarding zonal prices and dispatched generation levels. For this purpose, zonal day-ahead energy market models in the presence of RES in the generation mix need to be implemented. In this paper, the IEEE 39-bus system has been suitably modified to include solar and wind generation in the traditional generation mix. Hourly time series are used to define load profiles and wind and solar power generation. The zonal day-ahead market (ZDAM) resolution is simulated by solving a Linear Programming optimization problem employing Pyomo. Furthermore, steady-state nodal analysis is carried out using DIgSILENT PowerFactory, performed over a year horizon.

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