[HTML][HTML] Experimental and developed DC microgrid energy management integrated with battery energy storage based on multiple dynamic matrix model predictive …

R Sepehrzad, J Ghafourian, A Hedayatnia… - Journal of Energy …, 2023 - Elsevier
This study presents the energy management and control strategy in the islanded DC
microgrid structure in the presence of renewable energy sources (RES) and battery storage …

[HTML][HTML] Two-Stage experimental intelligent dynamic energy management of microgrid in smart cities based on demand response programs and energy storage …

R Sepehrzad, A Hedayatnia, M Amohadi… - International Journal of …, 2024 - Elsevier
Power variations due to uncertainties create fluctuations in voltage/frequency (V/F). Most
critical microgrid's (MG) challenge in smart cities is V/F stability considering uncertainties in …

[HTML][HTML] Two-Stage Data-Driven optimal energy management and dynamic Real-Time operation in networked microgrid based deep reinforcement learning approach

A Hedayatnia, J Ghafourian, R Sepehrzad… - International Journal of …, 2024 - Elsevier
Given the significant challenges posed by the vast and diverse data in energy management,
this study introduces a two-stage approach: optimal energy management system (OEMS) …

[HTML][HTML] Data-Driven hierarchical energy management in multi-integrated energy systems considering integrated demand response programs and energy storage …

A Khodadadi, S Adinehpour, R Sepehrzad… - Sustainable Cities and …, 2024 - Elsevier
In this study, an intelligent and data-driven hierarchical energy management approach
considering the optimal participation of renewable energy resources (RER), energy storage …

[HTML][HTML] An applied deep reinforcement learning approach to control active networked microgrids in smart cities with multi-level participation of battery energy storage …

R Sepehrzad, ASG Langeroudi, A Khodadadi… - Sustainable Cities and …, 2024 - Elsevier
This study proposed an intelligent energy management strategy for islanded networked
microgrids (NMGs) in smart cities considering the renewable energy sources uncertainties …

Optimal stochastic-probability management of resources and energy storage in energy hub considering demand response programs and uncertainties

A Dalimi-Asl, S Javadi, A Ahmarinejad… - Sustainable Cities and …, 2023 - Elsevier
Because the probability decision-making variables in the energy hub (EH) cause technical,
economic and environmental challenges, this study presents a multi-objective planning …

[HTML][HTML] Real-time power system dispatch scheme using grid expert strategy-based imitation learning

S Xu, J Zhu, B Li, L Yu, X Zhu, H Jia, CY Chung… - International Journal of …, 2024 - Elsevier
With large-scale grid integration of renewable energy sources (RES), power grid operations
gradually exhibit the new characteristics of high-order uncertainty, leading to significant …

Terminal Voltage and Load Frequency Control in a Real Four-Area Multi-Source Interconnected Power System With Nonlinearities via OOBO Algorithm

T Ali, M Asad, E Touti, BB Graba, M Aoudia… - IEEE …, 2024 - ieeexplore.ieee.org
The increasing expansion of the industrial and domestic sectors, combined with the
integration of renewable energy sources, has led to an overload of the existing …

Dynamic energy management and control of networked microgrids based on load to grid services and incentive-based demand response programs: A multi-agent …

MR Seylab, MS Naderi, GB Gharehpetian - Sustainable Cities and Society, 2024 - Elsevier
This study has presented the energy management paradigm in a networked microgrid
structure based on L2G services and considering incentive-based load response (IBDR) …

Multi-timescale hierarchical dispatch strategy of hybrid energy storage for multiple auxiliary service markets

Y Yao, Y He, H Wu, R Bi, M Ding - Journal of Energy Storage, 2025 - Elsevier
As a flexible regulatory resource, hybrid energy storage system (HESS) is capable of
providing multiple reliable ancillary services, which improves the adaptability of the …