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 …

Operation and planning of energy hubs under uncertainty—a review of mathematical optimization approaches

M Jasinski, A Najafi, O Homaee, M Kermani… - IEEE …, 2023 - ieeexplore.ieee.org
Co-designing energy systems across multiple energy carriers is increasingly attracting
attention of researchers and policy makers, since it is a prominent means of increasing the …

Low-carbon optimal operation of distributed energy systems in the context of electricity supply restriction and carbon tax policy: A fully decentralized energy dispatch …

S Zhang, W Hu, J Du, C Bai, W Liu, Z Chen - Journal of Cleaner Production, 2023 - Elsevier
The peer-to-peer energy sharing of distributed energy systems supports carbon neutrality
targets by promoting self-sufficient local energy systems, energy saving and carbon …

Fuzzy Q-learning-based approach for real-time energy management of home microgrids using cooperative multi-agent system

A Salari, SE Ahmadi, M Marzband, M Zeinali - Sustainable Cities and …, 2023 - Elsevier
The development of plug-in electrical vehicles (PEVs) and distributed energy resources in
home microgrids (H-MGs) is gaining attention in recent years. Accordingly, it is vital to apply …

Multi-agent optimal scheduling for integrated energy system considering the global carbon emission constraint

Y Zhou, Z Ma, X Shi, S Zou - Energy, 2024 - Elsevier
In a multi-regional integrated energy system (MIES), optimal scheduling under random
renewable supply and user demand is crucial to promote the process of carbon neutrality …

Optimal dispatch of an energy hub with compressed air energy storage: A safe reinforcement learning approach

AD Garmroodi, F Nasiri, F Haghighat - Journal of Energy Storage, 2023 - Elsevier
With the advancements in renewable energy and energy storage technologies, the energy
hubs (EH) have been emerging in recent years. The scheduling of EH is a challenging task …

Information gap-based multi-objective optimization of a virtual energy hub plant considering a developed demand response model

L Fan, D Ji, G Lin, P Lin, L Liu - Energy, 2023 - Elsevier
With the advent of multi-carrier energy systems in the context of local energy markets, eg,
thermal market, virtual energy hub plants have become more prominent in many countries to …

Optimal economic programming of an energy hub in the power system while taking into account the uncertainty of renewable resources, risk-taking and electric …

T Zhang, B Sobhani - Energy, 2023 - Elsevier
Energy distribution network operation will be a major problem in the systems shortly
because most changes will emerge in this domain. The presence of energy hubs, natural …

Multi-agent reinforcement learning dealing with hybrid action spaces: A case study for off-grid oriented renewable building energy system

Y Gao, Y Matsunami, S Miyata, Y Akashi - Applied Energy, 2022 - Elsevier
With the application of renewable energy in building energy systems (BES), an increasing
number of power grids require building energy systems coupled to realize off-grid operation …

Novel Data-Driven decentralized coordination model for electric vehicle aggregator and energy hub entities in multi-energy system using an improved multi-agent …

B Zhang, W Hu, D Cao, AMYM Ghias, Z Chen - Applied Energy, 2023 - Elsevier
Energy hub (EH) is an independent entity that benefits to the efficiency, flexibility, and
reliability of integrated energy systems (IESs). On the other hand, the rapid emerging of …