Cooperative energy scheduling of interconnected microgrid system considering renewable energy resources and electric vehicles

MA Babaei, S Hasanzadeh, H Karimi - Electric Power Systems Research, 2024 - Elsevier
Microgrids are known as a local energy system that changes the central power plants toward
distributed and renewable energy resources. The microgrids provide low-cost, more …

[HTML][HTML] A machine learning-based assessment model for defect diagnosis in XLPE power cables

SI Evangeline, S Darwin, K Baskaran, EFI Raj - e-Prime-Advances in …, 2024 - Elsevier
Cross-linked polyethylene (XLPE) power cables are commonly used in flexible DC
transmission applications. The diagnosis of the defects of XLPE power cable has …

[HTML][HTML] Performance analysis of machine learning based prediction models in assessing optimal operation of microgrid under uncertainty

S Patty, T Malakar - Results in Control and Optimization, 2024 - Elsevier
Of late, the exponential rise in the global population is driving higher energy demand.
However, the rapid depletion of conventional fossil fuels and growing environmental …

Power system stabilizers tuning for probabilistic small-signal stability enhancement using particle swarm optimization and unscented transformation

W Peres, RPB Poubel - Electrical Engineering, 2025 - Springer
In modern power systems, uncertainties related to loads and renewable energy sources
increase the need for reliable tools for steady-state and dynamic studies. These …

A Machine Learning Approach for Load Margin Assessment in Balanced Islanded Microgrids

W Peres, RPB Poubel - Journal of Control, Automation and Electrical …, 2025 - Springer
Load margin assessment in islanded AC microgrids is crucial to ensure stable operation.
Based on this paradigm, this paper first proposes an artificial neural network (ANN)-based …

Probabilistic coordinated design of multi-band power system stabilizers using the unscented transformation

W Peres - Electrical Engineering, 2024 - Springer
This paper introduces an optimization-based approach for the probabilistic design of multi-
band power system stabilizers. The primary aim is to minimize the sum of gains, thereby …

[HTML][HTML] Advanced Load Balancing Techniques Using Mimo Fuzzy Logic: A Panel Distribution Case Study at State Polytechnic of Malang

IN Syamsiana, H Hassidiqi, W Kusuma, AD Novfowan… - MethodsX, 2025 - Elsevier
The issue of unbalance in electrical distribution systems is a significant challenge that
requires effective management to ensure stability, reliability, and safety. Load imbalance can …

Assessment of battery energy storage uses in microgrid operation under varied demand uncertainties through a machine learning based stochastic optimization …

S Patty, T Malakar - Physica Scripta, 2025 - iopscience.iop.org
The sustainability of Microgrid (MG) relies on improving reliability through effective energy
management strategies. However, the presence of volatile Renewable Energy Sources …

Optimization and Control Strategies for Stochastic Power Quality of Distributed Generation

Z Wei, S Li, J Wang, J Zhang… - 2024 21st International …, 2024 - ieeexplore.ieee.org
To solve power quality problems in distribution networks, this paper presents a distributed
generation siting and capacity determination method. The methodology aims to minimize …

Coordinated Volt-Var Control of Reconfigurable Microgrids with Power-to-Hydrogen Systems

K Gholami, A Azizivahed, A Arefi, L Li… - Energies …, 2024 - researchportal.murdoch.edu.au
Coordinated Volt-Var Control of Reconfigurable Microgrids with Power-to-Hydrogen
Systems Page 1 Please do not remove this page Coordinated Volt-Var Control of …