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Distributed energy management of multi-entity integrated electricity and heat systems: A review of architectures, optimization algorithms, and prospects
Synergies among multiple energy sectors in an integrated electricity and heat system (IEHS)
improve energy efficiency, economic operation and renewable energy utilization, thus …
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
The present research investigations in power management fraternity are focused towards
the realization of smart microgrid (MG) technologies. Due to intrinsic advantages of Direct …
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
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 …
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
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 …
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
This article investigates the problem of distributed cooperative energy management of
multiple energy bodies with the consideration of both the optimal energy generation …
multiple energy bodies with the consideration of both the optimal energy generation …
Indirect multi-energy transactions of energy internet with deep reinforcement learning approach
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 …
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 …
strong random disturbance issues induced by the ever-increasing penetration of renewable …
Deep reinforcement learning for smart grid operations: algorithms, applications, and prospects
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 …
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 …
primary ways to reduce carbon emissions and essential components of low-carbon power …
Antagonistic interaction-based bipartite consensus control for heterogeneous networked systems
This article investigates the bipartite consensus tracking control problem for nonlinear
networked systems with antagonistic interactions and unknown backlash-like hysteresis …
networked systems with antagonistic interactions and unknown backlash-like hysteresis …