[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 …

Model predictive control of microgrids–An overview

J Hu, Y Shan, JM Guerrero, A Ioinovici… - … and Sustainable Energy …, 2021‏ - Elsevier
The development of microgrids is an advantageous option for integrating rapidly growing
renewable energies. However, the stochastic nature of renewable energies and variable …

Multi-microgrid energy management systems: Architecture, communication, and scheduling strategies

B Zhou, J Zou, CY Chung, H Wang… - Journal of Modern …, 2021‏ - ieeexplore.ieee.org
The increasing penetration of various distributed and renewable energy resources at the
consumption premises, along with the advanced metering, control and communication …

A novel energy management method for networked multi-energy microgrids based on improved DQN

H **ao, X Pu, W Pei, L Ma, T Ma - IEEE Transactions on Smart …, 2023‏ - ieeexplore.ieee.org
The networked Multi-Energy Microgrids (MEMGs) can significantly improve the economic
efficiency of operation through energy cooperation and complementarity. However, the …

Multiple microgrids: A review of architectures and operation and control strategies

D Saha, N Bazmohammadi, JC Vasquez, JM Guerrero - Energies, 2023‏ - mdpi.com
Several issues of individual microgrids (MGs) such as voltage and frequency fluctuations
mainly due to the intermittent nature of renewable energy sources'(RESs) power production …

Optimal design and model predictive control of standalone HRES: A real case study for residential demand side management

S Rehman, HUR Habib, S Wang, MS Büker… - IEEE …, 2020‏ - ieeexplore.ieee.org
Conventional electricity generation is one of the greatest sources of CO2 emissions. For a
successful transformation of conventional energy systems into non-polluting and renewable …

Hybrid model predictive control of DC–DC boost converters with constant power load

Z Karami, Q Shafiee, S Sahoo… - IEEE Transactions …, 2020‏ - ieeexplore.ieee.org
This article presents a hybrid model predictive controller to ensure dc microgrid stability and
enhance the performance of dc-dc boost converters interfaced with constant power loads …

Control and optimisation of networked microgrids: A review

M Islam, F Yang, M Amin - IET Renewable Power Generation, 2021‏ - Wiley Online Library
Microgrids (MGs) have become an integral part of smart grid initiatives for future power
system networks. Networked microgrids consist of several neighbouring microgrids …

Model predictive control for microgrid functionalities: Review and future challenges

F Garcia-Torres, A Zafra-Cabeza, C Silva, S Grieu… - Energies, 2021‏ - mdpi.com
Renewable generation and energy storage systems are technologies which evoke the future
energy paradigm. While these technologies have reached their technological maturity, the …

Advances and opportunities in the model predictive control of microgrids: Part I–primary layer

Z Zhang, O Babayomi, T Dragicevic, R Heydari… - International Journal of …, 2022‏ - Elsevier
The smart-grid has requirements of flexible automation, efficiency, reliability, resiliency and
scalability. These are necessitated by the increasing penetration of power-electronics …