Stand-alone photovoltaic systems are suitable electrification solutions for isolated buildings. Those systems rely exclusively on solar radiation, a source that cannot be controlled, therefore an improper operation of the system may lead to service interruptions and reduction of lifespan. Energy management systems allow proper scheduling of sources, storage, and load consumption, usually through complex optimal predictive control strategies. This paper proposes a novel load management system, based on a simplified model predictive controller aimed at minimizing service interruptions while guaranteeing a specific depth of discharge of the battery. The proposed solution avoids the use of complex optimization solvers and/or forecasting algorithms by introducing proper approximations to the model that lead to a simple decision algorithm based on open-loop dynamics simulations and priority-based schedules. Simulations and Hardware in the Loop tests show that the proposed controller can be implemented on low-cost microprocessors, providing adequate performance and satisfying the constraints on maximum load curtailment and depth of discharge.

Limited complexity predictive controller for load management in isolated photo-voltaic systems

Zamudio Daniel;Cordoba Andres;Ruiz Fredy;
2021-01-01

Abstract

Stand-alone photovoltaic systems are suitable electrification solutions for isolated buildings. Those systems rely exclusively on solar radiation, a source that cannot be controlled, therefore an improper operation of the system may lead to service interruptions and reduction of lifespan. Energy management systems allow proper scheduling of sources, storage, and load consumption, usually through complex optimal predictive control strategies. This paper proposes a novel load management system, based on a simplified model predictive controller aimed at minimizing service interruptions while guaranteeing a specific depth of discharge of the battery. The proposed solution avoids the use of complex optimization solvers and/or forecasting algorithms by introducing proper approximations to the model that lead to a simple decision algorithm based on open-loop dynamics simulations and priority-based schedules. Simulations and Hardware in the Loop tests show that the proposed controller can be implemented on low-cost microprocessors, providing adequate performance and satisfying the constraints on maximum load curtailment and depth of discharge.
2021
2021 29th Mediterranean Conference on Control and Automation, MED 2021
978-1-6654-2258-1
Energy management
Isolated microgrid
Load management
Photovoltaic system
Predictive control
File in questo prodotto:
File Dimensione Formato  
Limited_Complexity_Predictive_Controller_for_Load_Management_in_Isolated_Photo-voltaic_Systems.pdf

Accesso riservato

Descrizione: Articolo
: Publisher’s version
Dimensione 6.07 MB
Formato Adobe PDF
6.07 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1204424
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact