MPC Based Energy Management System for Hosting Capacity of PVs and Customer Load with EV in Stand-Alone Microgrids

Kyung-Sang Ryu, Dae-Jin Kim, Heesang Ko, Chang-Jin Boo, Jongrae Kim, Young-Gyu Jin and Ho-Chan Kim
Additional contact information
Kyung-Sang Ryu: Electric Power System Research Team, Jeju Global Research Center (JGRC), Korea Institute of Energy Research (KIER), Jeju-si 63357, Korea
Dae-Jin Kim: Electric Power System Research Team, Jeju Global Research Center (JGRC), Korea Institute of Energy Research (KIER), Jeju-si 63357, Korea
Heesang Ko: Electric Power System Research Team, Jeju Global Research Center (JGRC), Korea Institute of Energy Research (KIER), Jeju-si 63357, Korea
Chang-Jin Boo: Department of Electrical Engineering, Jeju International University, Jeju-si 63309, Korea
Jongrae Kim: School of Mechanical Engineering, University of Leeds, Leeds LS29JT, UK
Young-Gyu Jin: Department of Electrical Engineering, Jeju National University, Jeju-si 63243, Korea
Ho-Chan Kim: Department of Electrical Engineering, Jeju National University, Jeju-si 63243, Korea

Energies, 2021, vol. 14, issue 13, 1-20

Abstract: This paper presents the improvements of the hosting capacity of photovoltaics (PVs) and electric vehicles (EVs) in a stand-alone microgrid (MG) with an energy storage system (ESS) by consider-ing a model predictive control (MPC) based energy management system. The system is configured as an MG, including PVs, an ESS, a diesel generator (DG), and several loads with EVs. The DG is controlled to operate at rated power and the MPC algorithm is used in a stand-alone MG, which supplies the energy demanded for several loads with EVs. The hosting capacity of the load in-cluding the EV and PVs can be expanded through the ESS to the terminal node of the microgrid. In this case, the PVs and the load can be connected in excess of the capacity of the diesel genera-tor, and each bus in the feeder complies with the voltage range required by the grid. The effec-tiveness of the proposed algorithm to resolve the hosting capacity is demonstrated by numerical simulations.

Keywords: stand-alone microgrid; energy storage system; model predictive control; hosting capacity; Matlab/Simulink (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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