[HTML][HTML] Smart grid evolution: Predictive control of distributed energy resources—A review

O Babayomi, Z Zhang, T Dragicevic, J Hu… - International Journal of …, 2023 - Elsevier
As the smart grid evolves, it requires increasing distributed intelligence, optimization and
control. Model predictive control (MPC) facilitates these functionalities for smart grid …

Application and progress of artificial intelligence technology in the field of distribution network voltage Control: A review

X Zhang, Z Wu, Q Sun, W Gu, S Zheng… - … and Sustainable Energy …, 2024 - Elsevier
The increasing integration of distributed energy resources has led to heightened complexity
in distribution network models, posing challenges of uncertainty and volatility to the …

Robust coordination of repair and dispatch resources for post-disaster service restoration of the distribution system

H Wu, Y Xie, Y Xu, Q Wu, C Yu, J Sun - International Journal of Electrical …, 2022 - Elsevier
Since extreme weather events usually severely damage the power grid and lead to
widespread power outages, coordinating repair and dispatch resources, such as repair …

Bi-level optimization model for the coordination between transmission and distribution systems interacting with local energy markets

P Sheikhahmadi, S Bahramara, A Mazza… - International Journal of …, 2021 - Elsevier
The coordination between distribution system and transmission system operation in the
presence of distributed energy resources (DERs) is a new framework that needs appropriate …

DDPG-based multi-agent framework for SVC tuning in urban power grid with renewable energy resources

X Zhang, Y Liu, J Duan, G Qiu, T Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The uncertain nature of renewable energy resources (RERs) and fast demand response
lead to recurring voltage violations in the power systems, which causes frequent transformer …

Modernized planning of smart grid based on distributed power generations and energy storage systems using soft computing methods

A Rajagopalan, D Swaminathan, M Alharbi, S Sengan… - Energies, 2022 - mdpi.com
The modest objective is to check the integrated effect of energy storage systems (ESSs) and
distributed generations (DGs) and compare the optimization of the size and location of ESS …

Towards Net Zero Energy Factory: A multi-objective approach to optimally size and operate industrial flexibility solutions

L Bartolucci, S Cordiner, V Mulone, M Santarelli… - International Journal of …, 2022 - Elsevier
This study proposes a methodology for sizing and operating new flexibility options within a
German carpentry, targeting to be operated as Net Zero Energy Factory (NZEF). A key …

[HTML][HTML] Two-stage voltage regulation in power distribution system using graph convolutional network-based deep reinforcement learning in real time

H Wu, Z Xu, M Wang, J Zhao, X Xu - … Journal of Electrical Power & Energy …, 2023 - Elsevier
The model-based voltage control is widely used to mitigate quick voltage fluctuations
caused by renewable energy uncertainties. However, the accurate and complete …

Distributed control of battery energy storage systems in distribution networks for voltage regulation at transmission–distribution network interconnection points

T Zhao, A Parisio, JV Milanović - Control Engineering Practice, 2022 - Elsevier
This paper describes a control framework that enables distributed battery energy storage
systems (BESS) connected to distribution networks (DNs) to track voltage setpoints …

Generalised model predictive controller design for A DC–DC non‐inverting buck–boost converter optimised with a novel identification technique

SM Ghamari, F Khavari, H Molaee… - IET Power …, 2022 - Wiley Online Library
An on‐line generalised model predictive control (GMPC) strategy is designed and optimised
with a novel identification procedure in the presence of different disturbances. The principle …