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Enhancing grid-connected photovoltaic system performance with novel hybrid MPPT technique in variable atmospheric conditions
This paper proposes an innovative approach to improve the performance of grid-connected
photovoltaic (PV) systems operating in environments with variable atmospheric conditions …
photovoltaic (PV) systems operating in environments with variable atmospheric conditions …
Toward enhanced state of charge estimation of lithium-ion batteries using optimized machine learning techniques
State of charge (SOC) is a crucial index used in the assessment of electric vehicle (EV)
battery storage systems. Thus, SOC estimation of lithium-ion batteries has been widely …
battery storage systems. Thus, SOC estimation of lithium-ion batteries has been widely …
Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction
This study deals with the development of an optimal power scheduling controller for energy
management of distributed energy resources in the microgrid system. The developed …
management of distributed energy resources in the microgrid system. The developed …
Nature-Inspired Intelligent Computing: A Comprehensive Survey
Nature, with its numerous surprising rules, serves as a rich source of creativity for the
development of artificial intelligence, inspiring researchers to create several nature-inspired …
development of artificial intelligence, inspiring researchers to create several nature-inspired …
Probabilistic energy management of DGs and electric vehicle parking lots in a smart grid considering demand response
ER Ghadikolaei, A Ghafouri… - International Journal of …, 2024 - Wiley Online Library
In this paper, a novel model of an energy management system (EMS) for a microgrid (MG)
under uncertain conditions is proposed. The MG consists of renewable photovoltaic and …
under uncertain conditions is proposed. The MG consists of renewable photovoltaic and …
Role of optimization algorithms based fuzzy controller in achieving induction motor performance enhancement
MA Hannan, JA Ali, MS Hossain Lipu… - Nature …, 2020 - nature.com
Three-phase induction motors (TIMs) are widely used for machines in industrial operations.
As an accurate and robust controller, fuzzy logic controller (FLC) is crucial in designing TIMs …
As an accurate and robust controller, fuzzy logic controller (FLC) is crucial in designing TIMs …
Quantum-behaved lightning search algorithm to improve indirect field-oriented Fuzzy-PI control for IM drive
MA Hannan, JA Ali, A Mohamed… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
The main objective of this study is to develop a quantum-behaved lightening search
algorithm (QLSA) to improve the indirect field-oriented fuzzy-proportional-integral (PI) …
algorithm (QLSA) to improve the indirect field-oriented fuzzy-proportional-integral (PI) …
Design of solar system by implementing ALO optimized PID based MPPT controller
This paper is a strive approach to design offgrid solar system in association with DC-DC
boost converter and MPPT. The tuned PID based MPPT technique is adopted to extract …
boost converter and MPPT. The tuned PID based MPPT technique is adopted to extract …
[HTML][HTML] Bus voltage control of photovoltaic grid connected inverter based on adaptive linear active disturbance rejection
M Zhang, K Zhuang, T Zhao, X Chen, J Xue, Z Qiao… - Energies, 2022 - mdpi.com
According to the traditional voltage and current double closed-loop control mode, the
inverter management strategy for photovoltaic grid connection has insufficient anti …
inverter management strategy for photovoltaic grid connection has insufficient anti …
Lightning protection of PV systems
CA Christodoulou, L Ekonomou, IF Gonos… - Energy Systems, 2016 - Springer
The lightning protection of photovoltaic installations is of great importance, in order to
warrant the uninterrupted operation of the system and avoid faults and damages of the …
warrant the uninterrupted operation of the system and avoid faults and damages of the …