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Article

Efficient Model Predictive Control Strategies for Resource Management in an Islanded Microgrid

1
Energy Efficiency Research Division, Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon 34129, Korea
2
Sandia National Laboratories, Albuquerque, NM 87185, USA
*
Author to whom correspondence should be addressed.
Energies 2017, 10(7), 1008; https://doi.org/10.3390/en10071008
Received: 21 February 2017 / Revised: 6 July 2017 / Accepted: 11 July 2017 / Published: 16 July 2017
(This article belongs to the Special Issue Advanced Operation and Control of Smart Microgrids)
The energy research community is continuously pursuing improvements in power system resiliency and reliability. Microgrids offer a unique opportunity for enhanced reliability and resiliency by utilizing localized generation and energy storage when grid power is unavailable or too expensive. Energy management is a critical aspect of these systems to ensure proper balancing of sources and ensuring power supply to critical loads with minimum cost, especially in an islanded microgrid. This paper presents a hierarchical real-time optimization with mathematical formulations to achieve optimal operation for an islanded microgrid. The optimization is implemented using simple numerically tractable model predictive control strategies and enables appropriate decisions in response to constantly changing conditions. The optimization method is extended for experimentation within the real-time simulation. Simulation results show that the proposed resource management algorithm shows near-optimal performance while effectively dealing with uncertainties in forecasting. View Full-Text
Keywords: energy management system (EMS); intelligent control; microgrid; distributed energy resources; model predictive control (MPC); optimal dispatch energy management system (EMS); intelligent control; microgrid; distributed energy resources; model predictive control (MPC); optimal dispatch
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MDPI and ACS Style

Oh, S.; Chae, S.; Neely, J.; Baek, J.; Cook, M. Efficient Model Predictive Control Strategies for Resource Management in an Islanded Microgrid. Energies 2017, 10, 1008. https://doi.org/10.3390/en10071008

AMA Style

Oh S, Chae S, Neely J, Baek J, Cook M. Efficient Model Predictive Control Strategies for Resource Management in an Islanded Microgrid. Energies. 2017; 10(7):1008. https://doi.org/10.3390/en10071008

Chicago/Turabian Style

Oh, Seaseung; Chae, Suyong; Neely, Jason; Baek, Jongbok; Cook, Marvin. 2017. "Efficient Model Predictive Control Strategies for Resource Management in an Islanded Microgrid" Energies 10, no. 7: 1008. https://doi.org/10.3390/en10071008

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