Distributed Predictive Secondary Control With Soft Constraints for Optimal Dispatch in Hybrid AC/DC Microgrids

Alex Navas-Fonseca, Claudio Burgos-Mellado, Juan S. Gomez, Enrique Espina, Jacqueline Llanos, Doris Saez, Mark Sumner, Daniel E. Olivares

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

2 Citas (Scopus)

Resumen

Hybrid AC/DC microgrids (H-MGs) are a prominent solution for integrating distributed generation and modern AC and DC loads. However, controlling these systems is challenging as multiple electrical variables need to be controlled and coordinated. To provide flexibility to the control system, these variables can be regulated to specific values or within secure bands. This paper proposes a set of distributed model predictive control schemes for the secondary control level to control certain variables to specific values and other variables within secure pre-defined bands into H-MGs. Specifically, optimal dispatch of active and reactive power is achieved while frequency and voltages are regulated within secure bands in H-MGs. Dynamic models of AC generators, DC generators and interlinking converters along with their novel multi-objective cost functions are developed in constrained distributed predictive optimisation problems to simultaneously achieve the aforementioned objectives via information sharing. Extensive simulation work validates the performance of this proposal.

Idioma originalInglés
Páginas (desde-hasta)4204-4218
Número de páginas15
PublicaciónIEEE Transactions on Smart Grid
Volumen14
N.º6
DOI
EstadoPublicada - 1 nov. 2023

Áreas temáticas de ASJC Scopus

  • Ciencia de la Computación General

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