Results 31 to 40 of about 4,016,580 (147)

Optimization of Grid-Connected Hybrid Microgrid System with EV Charging Using Pelican Optimization Algorithm

open access: yesEngineering Proceedings
This research focuses on optimizing a grid-connected hybrid microgrid system (HMGS) for The Neotia University (TNU), West Bengal, India, utilizing renewable energy sources to improve sustainability and energy efficiency.
Anirban Maity   +2 more
doaj   +2 more sources

Quantum deep reinforcement learning-augmented pelican optimization for robust UPQC control in wind-grid integrated DFIG systems

open access: yesAIP Advances
This paper proposes an enhanced Pelican Optimization with Quantum Process Deep Reinforcement Learning algorithm (POQPDRL) control framework for the synergized control of a grid-connected DFIG-based wind energy system integrated with a Unified Power ...
P. V. S. S. A. Parimala, Narendra Babu P
doaj   +2 more sources

Pelican Optimization Algorithm-Based Proportional–Integral–Derivative Controller for Superior Frequency Regulation in Interconnected Multi-Area Power Generating System

open access: yesEnergies
The primary goal of enhancing automatic generation control (AGC) in interconnected multi-area power systems is to ensure high-quality power generation and reliable distribution during emergencies.
Abidur Rahman Sagor   +6 more
doaj   +2 more sources

Enhancing distribution generator impact mitigation using an adaptive protection scheme based on modified pelican optimization algorithm and active database management system

open access: yesEnergy Science &Engineering, Volume 11, Issue 11, Page 4108-4127, November 2023., 2023
The use of distribution generators affects fault currents, leading to miscoordination between protection relays and causing constraints on network reliability. To tackle this issue, an adaptive protection scheme (APS) based on a modified pelican optimization algorithm (MPOA) and active database management system is proposed.
Mohamed Abdelhamid   +2 more
wiley   +1 more source

Eco‐environmental operation of energy hub considering uncertainties of supply/demand‐side resources with introducing a novel optimization algorithm

open access: yesIET Renewable Power Generation, Volume 17, Issue 15, Page 3668-3686, 16 November 2023., 2023
In this manuscript, an innovative 24 h scenario‐based energy hub energy management system is proposed for cost and emission reduction in case of uncertainties. Also, a multi objective hybrid heuristic algorithm called hBES‐MOGWO is introduced for solving energy hub energy management system problem.
Mehdi Akbarpour   +3 more
wiley   +1 more source

A Rolling Bearing Fault Feature Extraction Algorithm Based on IPOA-VMD and MOMEDA

open access: yesSensors, 2023
Since the rolling bearing fault signal captured by a vibration sensor contains a large amount of background noise, fault features cannot be accurately extracted.
Kang Yi   +5 more
doaj   +1 more source

Contact Resistance Volatility Prediction of Pantograph-Catenary Based on IPOA-ELM

open access: yesIEEE Access
The volatility of contact resistance directly reflects the fluctuation of friction pairs in the pantograph-catenary system, so this paper proposes a new prediction model of contact resistance volatility based on an improved Pelican optimization algorithm
Lichuan Hui, Jianfei Chen
doaj   +1 more source

A Novel Modified Swarm Intelligence Algorithm Combining Black Widow Optimization Algorithm and Pelican Optimization Algorithm to solve Global Optimization Problems [PDF]

open access: yes
In this paper, an improved algorithm called BWOA-POA is a hybrid algorithm based on the Black Widow Algorithm (BWOA), which is an algorithm inspired by nature and has excellent specifications in addition to another algorithm, the Pelican Swarm ...
Khalaf, Ayad Hamad
core   +1 more source

Multi-Strategy Pelican Optimization Algorithm Optimized MPC Controller for Vehicle Trajectory Tracking

open access: yesShanghai Jiaotong Daxue xuebao
To address the difficulty of selecting the weight matrices Q and R in the model predictive control (MPC) algorithm for lateral vehicle control, which often results in unsatisfactory vehicle trajectory tracking performance, a vehicle trajectory tracking ...
LI Xiaolong, HUANG He, YANG Lan, WANG Huifeng, GAO Tao
doaj   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

open access: yesEnergy Science &Engineering, Volume 14, Issue 4, Page 2318-2344, April 2026.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan   +4 more
wiley   +1 more source

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