Zonal Day-Ahead Energy Market

A Modified Version of the IEEE 39-bus Test System

Conference paper (2022)

Authors

Gioacchino Tricarico Polytechnic University of Bari
Raju Wagle The Arctic University of Norway
Maria Dicorato Polytechnic University of Bari
Giuseppe Forte Polytechnic University of Bari
Francisco Gonzalez-Longatt University of South-Eastern Norway
José L. Rueda Intelligent Electrical Power Grids - EEMCS
Research Group
Intelligent Electrical Power Grids (EEMCS) (TU Delft)
Copyright: © 2022 Gioacchino Tricarico, Raju Wagle, Maria Dicorato, Giuseppe Forte, Francisco Gonzalez-Longatt, José L. Rueda
DOI: https://doi.org/10.1109/ISGTAsia54193.2022.10003588
Day-Ahead Market IEEE 39-bus system Renewable Energy Resources DIgSILENT PowerFactory
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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 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.