An Improved Energy Management Strategy for a DC Microgrid including Electric Vehicle Fast Charging Stations

Alalwan, Siham Naser Hendi; Mohammed, Amjad Muneim; Taşçıkaraoğlu, Akın; Catalào, João P. S.

doi:10.1109/sest50973.2021.9543312

Cited by 2 publications

(2 citation statements)

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“…Papers [48,49] present a decentralized control system for microgrids with EV fast charging stations. The aim of this control is to reduce utility grid reliance and improve power quality.…”

Section: Microgrid Voltage Sag Mitigation Controlmentioning

confidence: 99%

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A Review of Advanced Control Strategies of Microgrids with Charging Stations

Tkac,

Kajanova,

Bracinik

2023

Energies

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In the context of the global drive towards sustainability and rapid integration of renewables, electric vehicles, and charging infrastructure, the need arises for advanced operational strategies that support the grid while managing the intermittent nature of these resources. Microgrids emerge as a solution, operating independently or alongside the main grid to facilitate power flow management among interconnected sources and different loads locally. This review paper aims to offer a comprehensive overview of the different control strategies proposed in the literature to control microgrids with electric vehicle charging stations. The surveyed research is primarily categorized according to the employed control algorithms, although distinctions are also made based on defined microgrid architecture, utilization of specific power sources, and charging stations configurations. Additionally, this paper identifies research gaps in the current research. These gaps encompass the use of oversimplified models for charging stations and/or renewable sources operation, limited simulation time periods, or lack of experimental testing of proposed approaches. In the light of these identified shortcomings, this manuscript presents recommendations for guiding future research.

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“…Papers [48,49] present a decentralized control system for microgrids with EV fast charging stations. The aim of this control is to reduce utility grid reliance and improve power quality.…”

Section: Microgrid Voltage Sag Mitigation Controlmentioning

confidence: 99%

“…One of the differences between these two papers is the utilization of different control methods. In Mohammed's work [48], the authors used a sliding mode control together with a fuzzy logic control, while in [49] the authors used a decentralized control system based on Proportional Integral (PI) controllers.…”

Section: Microgrid Voltage Sag Mitigation Controlmentioning

confidence: 99%