Distributed energy management of multi-entity integrated electricity and heat systems: A review of architectures, optimization algorithms, and prospects

W Zheng, H Lu, M Zhang, Q Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Synergies among multiple energy sectors in an integrated electricity and heat system (IEHS)
improve energy efficiency, economic operation and renewable energy utilization, thus …

A comprehensive review on control techniques for power management of isolated DC microgrid system operation

KM Bhargavi, NS Jayalakshmi, DN Gaonkar… - IEEE …, 2021 - ieeexplore.ieee.org
The present research investigations in power management fraternity are focused towards
the realization of smart microgrid (MG) technologies. Due to intrinsic advantages of Direct …

Double-mode energy management for multi-energy system via distributed dynamic event-triggered Newton-Raphson algorithm

Y Li, DW Gao, W Gao, H Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The islanded and network-connected modes are expected to be modeled into a unified form
as well as in a distributed fashion for multi-energy system. In this way, the adaptability and …

A distributed robust economic dispatch strategy for integrated energy system considering cyber-attacks

B Huang, Y Li, F Zhan, Q Sun… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Distributed algorithms are increasingly being used to solve the economic dispatch problem
of integrated energy systems (IESs) because of their high flexibility and strong robustness …

A distributed double-Newton descent algorithm for cooperative energy management of multiple energy bodies in energy internet

Y Li, DW Gao, W Gao, H Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article investigates the problem of distributed cooperative energy management of
multiple energy bodies with the consideration of both the optimal energy generation …

Indirect multi-energy transactions of energy internet with deep reinforcement learning approach

L Yang, Q Sun, N Zhang, Y Li - IEEE Transactions on Power …, 2022 - ieeexplore.ieee.org
With the new feature of multi-energy coupling and the advancement of the energy market,
Energy Internet (EI) has higher requirements for the efficiency and applicability of integrated …

Automatic generation control based on multiple neural networks with actor-critic strategy

L **, J Wu, Y Xu, H Sun - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
As the conventional automatic generation control (AGC) is inadequate to deal with the
strong random disturbance issues induced by the ever-increasing penetration of renewable …

Deep reinforcement learning for smart grid operations: algorithms, applications, and prospects

Y Li, C Yu, M Shahidehpour, T Yang… - Proceedings of the …, 2023 - ieeexplore.ieee.org
With the increasing penetration of renewable energy and flexible loads in smart grids, a
more complicated power system with high uncertainty is gradually formed, which brings …

Blockchain-based renewable energy trading using information entropy theory

Z Liu, B Huang, X Hu, P Du… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Renewable energy sources (RES) and electric vehicles (EVs) are widely recognized as
primary ways to reduce carbon emissions and essential components of low-carbon power …

Antagonistic interaction-based bipartite consensus control for heterogeneous networked systems

G Liu, H Liang, Y Pan, CK Ahn - IEEE Transactions on Systems …, 2022 - ieeexplore.ieee.org
This article investigates the bipartite consensus tracking control problem for nonlinear
networked systems with antagonistic interactions and unknown backlash-like hysteresis …