A hierarchical scheduling framework for resilience enhancement of decentralized renewable-based microgrids considering proactive actions and mobile units

SA Mansouri, E Nematbakhsh, A Ahmarinejad… - … and Sustainable Energy …, 2022 - Elsevier
Nowadays, decentralized microgrids (DC-MGs) have become a popular topic due to the
effectiveness and the less complexity. In fact, DC-MGs resist to share their internal …

An interval-based nested optimization framework for deriving flexibility from smart buildings and electric vehicle fleets in the TSO-DSO coordination

SA Mansouri, E Nematbakhsh, AR Jordehi… - Applied Energy, 2023 - Elsevier
Emerging renewable-based transmission and distribution systems, despite many
environmental and economic benefits, due to the intermittent nature of their production …

A sustainable framework for multi-microgrids energy management in automated distribution network by considering smart homes and high penetration of renewable …

SA Mansouri, A Ahmarinejad, E Nematbakhsh… - Energy, 2022 - Elsevier
This paper presents a new framework for the scheduling of microgrids and distribution
feeder reconfiguration (DFR), taking into consideration the uncertainties due to the load …

Optimal power flow in distribution network: A review on problem formulation and optimization methods

C Yang, Y Sun, Y Zou, F Zheng, S Liu, B Zhao, M Wu… - Energies, 2023 - mdpi.com
Distributed generators (DGs) have a high penetration rate in distribution networks (DNs).
Understanding their impact on a DN is essential for achieving optimal power flow (OPF) …

Intelligent multi-microgrid energy management based on deep neural network and model-free reinforcement learning

Y Du, F Li - IEEE Transactions on Smart Grid, 2019 - ieeexplore.ieee.org
In this paper, an intelligent multi-microgrid (MMG) energy management method is proposed
based on deep neural network (DNN) and model-free reinforcement learning (RL) …

Distribution locational marginal pricing (DLMP) for congestion management and voltage support

L Bai, J Wang, C Wang, C Chen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, a day-ahead market-clearing model for smart distribution systems is proposed.
Various types of distributed energy resources (DERs), such as distributed energy storage …

Network reconfiguration and distributed energy resource scheduling for improved distribution system resilience

Q Shi, F Li, M Olama, J Dong, Y Xue, M Starke… - International Journal of …, 2021 - Elsevier
Electric utility companies work to restore as much load as possible after power outages
caused by extreme weather events. In this paper, an outage management strategy is …

Coordinated market design for peer-to-peer energy trade and ancillary services in distribution grids

K Zhang, S Troitzsch, S Hanif… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
A novel peer-to-peer (P2P) market design is proposed in this work for the distribution grid
level. Envisioning that the grid constraints violations are the major challenge for P2P energy …

A multi-time-scale economic scheduling strategy for virtual power plant based on deferrable loads aggregation and disaggregation

Z Yi, Y Xu, W Gu, W Wu - IEEE Transactions on Sustainable …, 2019 - ieeexplore.ieee.org
To unlock the potential of flexible resources, a multi-time-scale economic scheduling
strategy for the virtual power plant (VPP) to participate in the wholesale energy and reserve …

Bi-level programming for optimal operation of an active distribution network with multiple virtual power plants

Z Yi, Y Xu, J Zhou, W Wu, H Sun - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Virtual power plants (VPPs) have become an effective technique to manage a growing
number of flexible resources, which have posed great technical challenges to distribution …