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AC/DC optimal power flow and techno-economic assessment for hybrid microgrids: TIGON CEDER demonstrator.

Authors :
Martin-Crespo, Alejandro
Hernandez-Serrano, Alejandro
Izquierdo-Monge, Ôscar
Pena-Carro, Paula
Hernandez-Jiménez, Ângel
Frechoso-Escudero, Fernando
Baeyens, Enrique
Georgilakis, Pavlos
Faranda, Roberto
Source :
Frontiers in Energy Research; 2024, p1-14, 14p
Publication Year :
2024

Abstract

In recent years, the interest in electric direct current (DC) technologies (such as converters, batteries, and electric vehicles) has increased due to their potential in energy efficiency and sustainability. However, the vast majority of electric systems and networks are based on alternating current (AC) as they also have certain advantages regarding cost-effective transport and robustness. In this paper, an AC/DC optimal power flow method for hybrid microgrids and several key performance indicators (KPIs) for its techno-economic assessment are presented. The combination of both calculations allows users to determine the viability of their hybrid microgrids. AC/DC networks have been modeled considering their most common elements. For the power flow method, polynomial optimization is formulated considering four different objective functions: the minimization of energy losses, voltage deviation, and operational costs and the maximization of the microgrid generation. The power flow method and the techno-economic analysis are implemented in Python and validated in the Centro de Desarrollo de Energias Renovables (CEDER) demonstrator for TIGON. The results show that the calculated power flow variables and those measured at CEDER are practically the same. In addition, the KPIs are obtained and compared for four operating scenarios: baseline, no battery, battery flexibility, and virtual battery (VB) flexibility. The last scenario results in the most profitable option. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2296598X
Database :
Complementary Index
Journal :
Frontiers in Energy Research
Publication Type :
Academic Journal
Accession number :
179680129
Full Text :
https://doi.org/10.3389/fenrg.2024.1399114