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Cooperative energy scheduling of interconnected microgrid system considering renewable energy resources and electric vehicles
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 …
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
Cross-linked polyethylene (XLPE) power cables are commonly used in flexible DC
transmission applications. The diagnosis of the defects of XLPE power cable has …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
The sustainability of Microgrid (MG) relies on improving reliability through effective energy
management strategies. However, the presence of volatile Renewable Energy Sources …
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 …
generation siting and capacity determination method. The methodology aims to minimize …
Coordinated Volt-Var Control of Reconfigurable Microgrids with Power-to-Hydrogen Systems
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 …
Systems Page 1 Please do not remove this page Coordinated Volt-Var Control of …