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Integrating Machine Learning with Binary Integer Programming for Optimal PMU Placement in Dynamic Power Networks
NVU Reddy, R Anuradha, S Lakhanpal… - … and Informatics (IC3I …, 2024 - ieeexplore.ieee.org
PMUs or synchronized PMUs are rapidly becoming essential in today's power systems
acting as monitors in the advancement of mainstream grid supervisory, protective, and …
acting as monitors in the advancement of mainstream grid supervisory, protective, and …
Leveraging Deep Learning Architectures for Accurate Wind Speed and Power Prediction in Renewable Energy Systems
The advanced deep learning models that are incorporated in this paper present strategies
on the forecasting of Wind velocity and wind power. While metaheuristic strategies do not …
on the forecasting of Wind velocity and wind power. While metaheuristic strategies do not …
Integrating Renewable Energy Sources into Smart Grids with an Aggregator-Based Energy Management System for Efficiency and Resilience
BS Kumar, A Devi, S Sharma… - … and Informatics (IC3I …, 2024 - ieeexplore.ieee.org
Integrating renewable energy sources (RESs) into smart grids (SGs) is challenging due to
the intermittent and unpredictable nature of the sources, which are often the sun or wind …
the intermittent and unpredictable nature of the sources, which are often the sun or wind …
Enhancing Microgrid Stability: Optimal BESS Sizing via Modified PSO for Frequency Control and Cost Efficiency
SV Singh, V Revathi, BS Babu… - … and Informatics (IC3I …, 2024 - ieeexplore.ieee.org
When constructing a Battery Energy Storage System (BESS) to be incorporated in a
microgrid, the main objective is to minimise the risk of microgrid stability and system failure …
microgrid, the main objective is to minimise the risk of microgrid stability and system failure …
Advancing Power System Evolution with the Energy Internet for Renewable Integration and Grid Optimization
P Anjaiah, U Reddy, KH Babu, A Nagpal… - 2024 International …, 2024 - ieeexplore.ieee.org
The integration of renewable power has emerged as a global issue impeding power system
growth. The emergence of the energy network will provide an innovative approach to …
growth. The emergence of the energy network will provide an innovative approach to …
Integrating Advanced Machine Learning for Stable Real-Time Electricity Pricing in Smart Grids
Real-time electricity pricing (RTP) is pivotal for harnessing the full potential of smart energy
grids. Despite consensus on its benefits, the implementation of RTP schemes remains a …
grids. Despite consensus on its benefits, the implementation of RTP schemes remains a …
Advancing Distributed Energy Systems through Power Electronic Interfaces Integration and Benefits
VB Sree, R Chandrashekar… - 2024 International …, 2024 - ieeexplore.ieee.org
As distributed energy (DE) systems continue to be used and technology advances have a
growing influence on business, it is becoming more and more important to understand how …
growing influence on business, it is becoming more and more important to understand how …
Enhancing Virtual Power Plant Dynamics with Renewable Energy and Storage for Improved Distributed Generation
Distribution networks are seeing an influx of distributed generation (DG) units, particularly
RES and ESS, as a result of cost savings and the depletion of fossil fuels. When smaller …
RES and ESS, as a result of cost savings and the depletion of fossil fuels. When smaller …
Strategic Coordination of Electric Vehicle Aggregation and Wind Power for Grid Stability and Traffic Optimization
Electric cars (EVs) are quickly becoming the norm. Considering the charging characteristic
from the standpoint of electric vehicle scheduling has been the subject of research. Too far …
from the standpoint of electric vehicle scheduling has been the subject of research. Too far …