Emission‐Aware Energy Management of an Isolated Water‐Energy Microgrid Considering Hydrogen Vehicles, Demand‐Side Management, and Vehicle‐to‐Grid Technology

ABSTRACT This paper proposes an emission‐aware stochastic optimization framework for the optimal operation of an isolated multi‐energy microgrid (MEM) consisting of water, power, hydrogen, and heat sectors. The proposed MEM uninterruptedly supplies freshwater and multiple energy demands in a remote area without access to the power grid, while satisfying charging demands of a number of plug‐in electric vehicles (EVs) and hydrogen fuel cell vehicles coordinately. To consider the uncertainty of renewable energy sources in the MEM, different scenarios for solar radiation and wind speed are taken into account in the proposed framework. Furthermore, demand‐side management is realized in power and water sectors of the MEM by implementing demand response (DR) programs. The impacts of three different charging strategies for plug‐in EVs and participation of flexible water and electrical loads in DR programs on economic‐environmental indices of the MEM are investigated. The results confirm that coordinated charging strategy for EVs and using vehicle‐to‐grid technology in peak hours have the potential to decrease operational cost and emissions of the MEM by about 1.05% and more than 0.76%, respectively. In addition, the consideration of DR programs in power and water sectors leads to more than 1.42% cost‐saving and about 0.83% emission reduction.

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Publication Details

Journal
IET Renewable Power Generation
Published
2025-01-01
DOI
https://doi.org/10.1049/rpg2.70086
Citations
2
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
1.46
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article

Emission‐Aware Energy Management of an Isolated Water‐Energy Microgrid Considering Hydrogen Vehicles, Demand‐Side Management, and Vehicle‐to‐Grid Technology

Yasin Pezhmani, Hamid Radmanesh, Mohammad Heydari
2 citations
IET Renewable Power Generation
Electric Vehicles and Infrastructure
1.46
article

Emission‐Aware Energy Management of an Isolated Water‐Energy Microgrid Considering Hydrogen Vehicles, Demand‐Side Management, and Vehicle‐to‐Grid Technology

Yasin Pezhmani, Hamid Radmanesh, Mohammad Heydari
article en
2 citations

Abstract

ABSTRACT This paper proposes an emission‐aware stochastic optimization framework for the optimal operation of an isolated multi‐energy microgrid (MEM) consisting of water, power, hydrogen, and heat sectors. The proposed MEM uninterruptedly supplies freshwater and multiple energy demands in a remote area without access to the power grid, while satisfying charging demands of a number of plug‐in electric vehicles (EVs) and hydrogen fuel cell vehicles coordinately. To consider the uncertainty of renewable energy sources in the MEM, different scenarios for solar radiation and wind speed are taken into account in the proposed framework. Furthermore, demand‐side management is realized in power and water sectors of the MEM by implementing demand response (DR) programs. The impacts of three different charging strategies for plug‐in EVs and participation of flexible water and electrical loads in DR programs on economic‐environmental indices of the MEM are investigated. The results confirm that coordinated charging strategy for EVs and using vehicle‐to‐grid technology in peak hours have the potential to decrease operational cost and emissions of the MEM by about 1.05% and more than 0.76%, respectively. In addition, the consideration of DR programs in power and water sectors leads to more than 1.42% cost‐saving and about 0.83% emission reduction.

IET Renewable Power GenerationVol. 19(1)
University of Sistan and Baluchestan (IR), University of Kurdistan (IR), Shahid Sattari University of Aeronautical Engineering (IR)
Openalex Percentile: Top 16%
Electric Vehicles and Infrastructure
1.46
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Emission‐Aware Energy Management of an Isolated Water‐Energy Microgrid Considering Hydrogen Vehicles, Demand‐Side Management, and Vehicle‐to‐Grid Technology — Yasin Pezhmani, Hamid Radmanesh, et al. · IET Renewable Power Generation (2025) | TGRS Research Map | TGRS