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Scenario-based robust capacity planning of regional integrated energy systems considering carbon emissions
X Chen, W Dong, L Yang, Q Yang - Renewable Energy, 2023 - Elsevier
With the development of multi-energy systems and the urgent demand for low-carbon
energy provision, the regional integrated energy system (IES) is considered an efficient …
energy provision, the regional integrated energy system (IES) is considered an efficient …
[HTML][HTML] A new quasi-dynamic load flow calculation for district heating networks
J Steinegger, S Wallner, M Greiml, T Kienberger - Energy, 2023 - Elsevier
District heating networks can serve as large heat reservoirs due to thermal inertia. To
analyse the behaviour of these networks, a load flow calculation must be performed. There …
analyse the behaviour of these networks, a load flow calculation must be performed. There …
A robust model of local energy market under a security constraint-based approach for distribution system operator and multi-energy microgrids
A Sahebi, S Jadid - Electric Power Systems Research, 2023 - Elsevier
Local energy market formation would change the absorption and injection of power at
different buses and make it essential to design new market structures according to the …
different buses and make it essential to design new market structures according to the …
Coordination for regional integrated energy system through target cascade optimization
With the deepening of the coupling between electric, gas, and thermal energy systems,
traditional relatively independent energy systems are evolving towards an integrated energy …
traditional relatively independent energy systems are evolving towards an integrated energy …
Multi-time scale dynamic operation optimization method for industrial park electricity-heat-gas integrated energy system considering demand elasticity
This study proposes a multi-time scale dynamic optimization (MSDO) method for ultra-short-
term scheduling in industrial electricity-heat-gas integrated energy systems. The aim is to …
term scheduling in industrial electricity-heat-gas integrated energy systems. The aim is to …
A Critical Review of Distributed Generations Planning in Distribution Networks for Improved System Performances
R Kumar, BK Singh, B Singh - Journal of The Institution of Engineers (India …, 2024 - Springer
With the help of a range of load models including static, dynamic, composite, and realistic
load models, the planning of distributed generations (DGs) in distribution networks is …
load models, the planning of distributed generations (DGs) in distribution networks is …
Equilibrium allocation of ESSs in multiple UIESs-accessed distribution networks considering the resilience and economic benefits
L Zhang, J Huang, W Tang, Y Hou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Recently, extreme disasters considered as high-impact low-probability (HILP) events have
caused severe power outages. User-level integrated energy systems (UIESs) is being …
caused severe power outages. User-level integrated energy systems (UIESs) is being …
Risk-constrained multi-period investment model for Distributed Energy Resources considering technology costs and regulatory uncertainties
One of the reasons for the emerging adoption of behind-the-meter distributed energy
resources (DERs), particularly photovoltaic (PV) and storage, is the impressive decrease in …
resources (DERs), particularly photovoltaic (PV) and storage, is the impressive decrease in …
Regional Performance Analysis of Residential Microgrids: A Multi-Factor Assessment of Cost, Resilience, and Environmental Impact
P Odonkor, S Ashmore - Energy and Buildings, 2025 - Elsevier
Microgrids offer a promising way to enhance resilience, sustainability, and decentralization
in energy systems. However, their adoption is often limited by the challenge of tailoring …
in energy systems. However, their adoption is often limited by the challenge of tailoring …
A novel reinforcement learning-based multi-objective energy management system for multi-energy microgrids integrating electrical, hydrogen, and thermal elements
This paper presents a Reinforcement Learning (RL)-driven multi-objective function-based
energy management system (RL-MOF-EMS) for optimizing the economic dispatch and …
energy management system (RL-MOF-EMS) for optimizing the economic dispatch and …