Energy security and the resilience of electricity networks have recently gained critical momentum as subjects of research. The challenges of meeting the increasing electrical …
Z Peng, R Luo, J Hu, K Shi, SK Nguang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, a novel reinforcement learning (RL) method is developed to solve the optimal tracking control problem of unknown nonlinear multiagent systems (MASs). Different from …
S Fan, J Liu, Q Wu, M Cui, H Zhou, G He - Applied energy, 2020 - Elsevier
This paper presents a temporally coupled distributed online (TDO) algorithm to aggregate and coordinate numerous networked distributed energy resources (DERs) as a virtual power …
The uncertainty inherent in power load forecasts represents a major factor in the mismatches between supply and demand in renewables-rich electricity networks, which consequently …
Transactive energy as an emerging approach and sustainable technology can provide an exceptional opportunity for microgrids to exchange energy with each other for greater …
BN Alhasnawi, BH Jasim, BE Sedhom… - Sustainable Cities and …, 2021 - Elsevier
Power mismatching between the generated and consumed power is caused by the stochastic and unpredictable demand energy, resulting in increasing the electricity bill and …
L Xiong, P Li, Z Wang, J Wang - Applied energy, 2020 - Elsevier
This paper proposes a multi-objective renewable energy management scheme to satisfy the needs of diversified community power consumers, wherein the multi-agent system is …
S Fan, G He, X Zhou, M Cui - IEEE Transactions on Smart Grid, 2020 - ieeexplore.ieee.org
This paper proposes a Lyapunov optimization-based online distributed (LOOD) algorithmic framework for active distribution networks (ADNs) with numerous photovoltaic inverters and …
In this paper a distributed control strategy for coordinating multiple battery energy storage systems to support frequency regulation in power systems with high penetration of …