RT info:eu-repo/semantics/article
T1 AC/DC optimal power flow and techno-economic assessment for hybrid microgrids: TIGON CEDER demonstrator
A1 Martín-Crespo, Alejandro
A1 Hernández-Serrano, Alejandro
A1 Izquierdo-Monge, Óscar
A1 Peña-Carro, Paula
A1 Hernández-Jiménez, Ángel
A1 Frechoso Escudero, Fernando
A1 Baeyens Lázaro, Enrique
K1 AC/DC optimal power flow
K1 hybrid microgrids
K1 key performance indicators
K1 polynomial optimization
K1 techno-economic assessment
K1 Python
K1 3306 Ingeniería y Tecnología Eléctricas
AB 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 Energías 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.
PB Frontiers Media SA
SN 2296-598X
YR 2024
FD 2024
LK https://uvadoc.uva.es/handle/10324/75757
UL https://uvadoc.uva.es/handle/10324/75757
LA eng
NO Frontiers in Energy Research, Agosto 2024, vol. 12, p. 1-14
NO Producción Científica
DS UVaDOC
RD 13-jul-2025