Comprehensive review of modeling, structure, and integration techniques of smart buildings in the cyber-physical-social system

K Gong, J Yang, X Wang, C Jiang, Z Xiong, M Zhang… - Frontiers in Energy, 2022 - Springer
Smart buildings have been proven to be a kind of flexible demand response resources in the
power system. To maximize the utilization of the demand response resources, such as the …

Optimal design and operation of islanded multi-microgrid system with distributionally robust optimization

Z Shi, T Zhang, Y Liu, Y Feng, R Wang… - Electric Power Systems …, 2023 - Elsevier
Renewable generation has been increasingly utilized recently, and multi-microgrid (MMG)
system shows great potential in absorbing renewable energy. In this paper, a two-stage …

Security constrained decentralized peer-to-peer transactive energy trading in distribution systems

L Wang, Q Zhou, Z Xiong, Z Zhu… - CSEE journal of …, 2021 - ieeexplore.ieee.org
Peer-to-peer (P2P) transactive energy trading offers a promising solution for facilitating the
efficient and secure operation of a distribution system consisting of multiple prosumers. One …

Privacy-preserving energy trading management in networked microgrids via data-driven robust optimization assisted by machine learning

S Mohseni, MS Pishvaee, R Dashti - Sustainable Energy, Grids and …, 2023 - Elsevier
Trading mechanism design, uncertainty treatment and privacy protection are the main issues
in the energy management of networked microgrids (MGs). To address these issues in a …

Optimal coordination for multiple network-constrained VPPs via multi-agent deep reinforcement learning

X Liu, S Li, J Zhu - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
This paper proposes a multi-agent deep reinforcement learning method to coordinate
multiple microgrids owned virtual power plants (VPPs) connected in the active distribution …

Real-Time interaction of active distribution network and virtual microgrids: Market paradigm and data-driven stakeholder behavior analysis

Z Zhu, KW Chan, S Bu, B Zhou, S Xia - Applied energy, 2021 - Elsevier
In order to incorporate the independent Virtual Microgrids (VMGs) to the real-time operation
of upstream active distribution network (ADN), an interactive dispatching model of VMGs and …

Optimal scheduling of distribution network with autonomous Microgrids: frequency security constraints and uncertainties

S Zheng, K Liao, J Yang, Z He - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Widespread integration of autonomous microgrids (MGs) into the distribution network (DN)
makes the scheduling of distribution systems challenging. Especially, the uncertainties of …

On distributionally robust generalized Nash games defined over the Wasserstein ball

F Fabiani, B Franci - Journal of Optimization Theory and Applications, 2023 - Springer
In this paper we propose an exact, deterministic, and fully continuous reformulation of
generalized Nash games characterized by the presence of soft coupling constraints in the …

Distributionally robust optimization of an integrated energy system cluster considering the oxygen supply demand and multi-energy sharing

S Cui, R Zhu, Y Gao - Energies, 2022 - mdpi.com
Regional integrated energy systems (IESs) have emerged to satisfy the increasing
diversified energy demand in Tibet. However, limited resource allocation of a given IES can …

A multi‐agent privacy‐preserving energy management framework for renewable networked microgrids

SZ Tajalli, A Kavousi‐Fard… - IET Generation …, 2023 - Wiley Online Library
This paper proposes a fully distributed scheme to solve the day‐ahead optimal power
scheduling of networked microgrids in the presence of different renewable energy …