Results 71 to 80 of about 1,892 (172)

An Optimised Adaptive Integral Sliding Mode Control Approach for Multi‐Area Power Systems: Enhancing LFC Robustness and Stability With RES Integration and Time‐Delay Mitigation

IET Energy Systems Integration, Volume 7, Issue 1, January/December 2025.
ABSTRACT Frequency stability is vital to power system operation, especially in interconnected power systems (IPS) and smart grids where renewable energy sources and load fluctuations introduce unpredictability. This variability and time delay from decentralised control configurations can impair load frequency control (LFC) and compromise system ...
Tushar Kanti Roy, Sajeeb Saha, Amanullah Maung Than Oo   +2 more
wiley   +1 more source

A New Algorithm for Multi‐Objective Hybrid Economic Emission Dispatch Using Data‐Driven Forecasting of Wind and Solar Power

IET Generation, Transmission &Distribution, Volume 19, Issue 1, January/December 2025.
This paper presents a multi‐objective hybrid dynamic economic emission dispatch (HDEED) model incorporating wind and solar power generation. An evolutionary neural network‐based forecasting method is employed to accurately predict renewable outputs, which are integrated into the optimisation framework to minimise both cost and emissions.
Muhammad Kamran Khan, Muhammad Ammar Khan, Kimmo Kauhaniemi, Muhammad Hamza Zafar, Saad Rashid   +4 more
wiley   +1 more source

A Methodological Framework to Hybrid Machine Learning for Detecting Unusual Cyberattacks in Internet of Things

IET Information Security, Volume 2025, Issue 1, 2025.
Background: The Internet of Things (IoT) represents one of the fastest‐expanding developments in the computer industry. However, the inherently hostile environment of the internet makes IoT systems vulnerable. A popular and promising method for detecting cyberattacks is machine learning (ML), which produces excellent outcomes for identified attacks ...
R. S. Ramya, S. Jayanthy, Peican Zhu
wiley   +1 more source

Application of the arithmetic optimization algorithm to the phase-balancing problem in three-phase asymmetric distribution networks

Tecnura
Objective: This article presents the application of the arithmetic optimization algorithm (AOA) to the phase balancing problem in three-phase asymmetric distribution systems. The algorithm is implemented in MATLAB and its performance is compared with the
Nelson Omero Tique Tique, Juan Camilo Castillo Sáenz, Oscar Danilo Montoya Giraldo   +2 more
doaj   +1 more source

Optimal Allocation and Operation of Battery Energy Storage Systems With Photovoltaic Generation in Modern Distribution Networks: A New Hybrid Approach

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
A multi‐period mixed‐integer nonlinear programming model is proposed to optimally allocate battery energy storage systems in networks with photovoltaic generation. ABSTRACT A multi‐period mixed‐integer non‐linear programming model is proposed to optimally allocate battery energy storage systems (BESSs) in networks with photovoltaic generation.
Diego Jose da Silva, Edmarcio Antonio Belati, Jesús M. López‐Lezama, Mahdi Pourakbari‐Kasmaei   +3 more
wiley   +1 more source

A Multi‐Dimensional Multi‐Scenario GAN Framework for Assessing EV‐Induced Power Quality Degradation in Distribution Networks

The Journal of Engineering, Volume 2025, Issue 1, January/December 2025.
This paper introduces a multi‐dimensional, multi‐scenario generative adversarial neural network (MM‐GAN) to model the stochastic behavior of EV loads, improving power quality assessment accuracy. The MM‐GAN generates realistic, correlated EV load profiles, outperforming conventional methods in accuracy and computational efficiency, offering a practical
Payam Rezaei, Alireza Jalilian
wiley   +1 more source

Classification feature selection and dimensionality reduction based on logical binary sine-cosine function arithmetic optimization algorithm

Egyptian Informatics Journal
Arithmetic optimization algorithm (AOA) is a meta-heuristic algorithm inspired by mathematical operations. AOA has been diffusely used for optimization issues on continuous domains, but few scholars have studied discrete optimization problems.
Xu-Dong Li, Jie-Sheng Wang, Yu Liu, Hao-Ming Song, Yu-Cai Wang, Jia-Ning Hou, Min Zhang, Wen-Kuo Hao   +7 more
doaj   +1 more source

Optimizing Constrained Engineering Optimization Problems Using Improved Mountain Gazelle Optimizer

Applied Computational Intelligence and Soft Computing, Volume 2025, Issue 1, 2025.
This study introduces a novel approach to engineering design optimization through the development of an improved mountain gazelle optimizer (iMGO) that incorporates variable neighborhood search (VNS) techniques. The enhanced algorithm effectively addresses engineering optimization challenges by identifying optimal design solutions within specified ...
Vu Hong Son Pham, Nghiep Trinh Nguyen Dang, Van Nam Nguyen, Sajad Fathi Hafshejani   +3 more
wiley   +1 more source

An Improved Arithmetic Optimization Algorithm With Multi-Strategy Variable Step Size for Optimizing Engineering Problems

IEEE Access
Arithmetic Optimization Algorithm (AOA) has attracted considerable attention owing to its efficient search mechanism; however, it still exhibits deficiencies in optimization accuracy and convergence speed.
Jun Liu
doaj   +1 more source

Integration of PV Sources and Capacitor Banks for Sustainable Energy Management in Distribution Networks Using Electric Eel Foraging Algorithm

International Journal of Energy Research, Volume 2025, Issue 1, 2025.
Electricity drives economic growth, technological advancement, and improved quality of life, but it also poses environmental pollution challenges due to reliance on traditional energy sources such as petroleum and natural gas. Distribution systems’ extensive reach makes it easier to integrate different renewable energies, particularly solar power ...
Mohammed H. Alqahtani, Abdullah M. Shaheen, Muhammad Mehran Bashir   +2 more
wiley   +1 more source