[HTML][HTML] A review on energy hubs: Models, methods, classification, applications, and future trends

AA Eladl, MI El-Afifi, MM El-Saadawi… - Alexandria Engineering …, 2023 - Elsevier
Increasing environmental concerns, scarcity of fossil fuel resources, and uncontrolled
demand growth have led to upgrading and restructuring existing energy systems …

Review of optimization methods for energy hub planning, operation, trading, and control

T Ding, W Jia, M Shahidehpour, O Han… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The increasing concerns with adverse environmental issues have led to the proliferation of
renewable energy resources (RESs), which have been expanded more recently to multi …

Optimal planning for electricity-hydrogen integrated energy system considering power to hydrogen and heat and seasonal storage

G Pan, W Gu, Y Lu, H Qiu, S Lu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
For the future development of an integrated energy system (IES) with ultra-high penetration
of renewable energy, a planning model for an electricity-hydrogen integrated energy system …

A cooperative transactive multi-carrier energy control mechanism with P2P energy+ reserve trading using Nash bargaining game theory under renewables uncertainty

A Alizadeh, M Esfahani, F Dinar, I Kamwa, A Moeini… - Applied Energy, 2024 - Elsevier
Abstract Transactive Energy Control (TEC) as a market-based control is a critical notion for
scheduling Multi-Carrier Energy Systems (MCESs) in local networks and forming an Energy …

Bi-level mixed-integer planning for electricity-hydrogen integrated energy system considering levelized cost of hydrogen

G Pan, W Gu, H Qiu, Y Lu, S Zhou, Z Wu - Applied Energy, 2020 - Elsevier
Hydrogen is regarded as secondary energy that is perfectly complementary to electricity
owing to its friendly storage characteristics and can play a vital role in the future low-carbon …

A novel model-free deep reinforcement learning framework for energy management of a PV integrated energy hub

A Dolatabadi, H Abdeltawab… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper utilizes a fully model-free and data-driven deep reinforcement learning (DRL)
framework to develop an intelligent controller that can exploit information to optimally …

Optimal operation of energy hubs considering uncertainties and different time resolutions

MS Javadi, M Lotfi, AE Nezhad… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
This article presents a robust chance-constrained optimization framework for the optimal
operation management of an energy hub (EH) in the presence of electrical, heating, and …

Two-stage distributionally robust optimization for energy hub systems

P Zhao, C Gu, D Huo, Y Shen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Energy hub system (EHS) incorporating multiple energy carriers, storage, and renewables
can efficiently coordinate various energy resources to optimally satisfy energy demand …

Strategic operation of a virtual energy hub with the provision of advanced ancillary services in industrial parks

MZ Oskouei, B Mohammadi-Ivatloo… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Coordinated operation of several industrial energy hubs (IEHs) to realize local energy
management concepts at strategic points like industrial parks has attracted the attention of …

[HTML][HTML] Data-driven-based distributionally robust optimization approach for a virtual power plant considering the responsiveness of electric vehicles and Ladder-type …

Y Chen, Y Niu, C Qu, M Du, J Wang - … Journal of Electrical Power & Energy …, 2024 - Elsevier
To encourage the utilization of decentralized renewable energy systems, a data-driven-
based distributionally robust optimization (DRO) model is proposed for a virtual power plant …