On data-driven modeling and control in modern power grids stability: Survey and perspective
Modern power grids are fast evolving with the increasing volatile renewable generation,
distributed energy resources (DERs) and time-varying operating conditions. The DERs …
distributed energy resources (DERs) and time-varying operating conditions. The DERs …
[HTML][HTML] Advancements in data-driven voltage control in active distribution networks: A Comprehensive review
Distribution systems are integrating a growing number of distributed energy resources and
converter-interfaced generators to form active distribution networks (ADNs). Numerous …
converter-interfaced generators to form active distribution networks (ADNs). Numerous …
Hierarchical control for microgrids: a survey on classical and machine learning-based methods
Microgrids create conditions for efficient use of integrated energy systems containing
renewable energy sources. One of the major challenges in the control and operation of …
renewable energy sources. One of the major challenges in the control and operation of …
Review of computational intelligence approaches for microgrid energy management
This research investigates implementing and optimizing microgrid energy management
systems (EMS) utilizing artificial intelligence (AI). Inspired by the need for efficient resource …
systems (EMS) utilizing artificial intelligence (AI). Inspired by the need for efficient resource …
Control of a microgrid using robust data-driven-based controllers of distributed electric vehicles
Current advancements in power electronic converters have paved a way to shift the attention
from the traditional internal combustion engine to electric vehicles (EVs). In previous …
from the traditional internal combustion engine to electric vehicles (EVs). In previous …
Challenges in smartizing operational management of functionally-smart inverters for distributed energy resources: A review on machine learning aspects
The widespread introduction of functionally-smart inverters will be an indispensable factor
for the large-scale penetration of distributed energy resources (DERs) via the power system …
for the large-scale penetration of distributed energy resources (DERs) via the power system …
Artificial intelligence-based methods for renewable power system operation
Carbon neutrality goals are driving the increased use of renewable energy (RE). Large-
scale use of RE requires accurate energy generation forecasts; optimized power dispatch …
scale use of RE requires accurate energy generation forecasts; optimized power dispatch …
Multi-objective optimization for dc microgrid using combination of nsga-ii algorithm and linear search method
With the penetration of renewable sources, the DC microgrid is much more efficient and
flexible to link renewable power generators and DC loads. Due to the uncertainties in both …
flexible to link renewable power generators and DC loads. Due to the uncertainties in both …
Analytical overvoltage and power-sharing control method for photovoltaic-based low-voltage islanded microgrid
Overvoltage instability is a growing concern in a standalone low-voltage (LV) microgrid (MG)
with non-dispatchable intermittent renewable energies such as residential and commercial …
with non-dispatchable intermittent renewable energies such as residential and commercial …
[HTML][HTML] Energy Intelligence: A Systematic Review of Artificial Intelligence for Energy Management
Artificial intelligence (AI) and machine learning (ML) can assist in the effective development
of the power system by improving reliability and resilience. The rapid advancement of AI and …
of the power system by improving reliability and resilience. The rapid advancement of AI and …