Results 51 to 60 of about 442 (139)

Improving Electricity Theft Detection using Combination of Improved Crow Search Algorithm and Support Vector Machine

Majlesi Journal of Electrical Engineering, 2021
Energy losses in the electricity distribution and transmission network and electricity theft detection are major challenges of electricity suppliers around the world.
Hassan Ghaedi, Seyed Reza Kamel Tabbakh, Reza Ghaemi   +2 more
doaj   +1 more source

Design of a novel robust adaptive backstepping controller optimized by snake algorithm for buck‐boost converter

IET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.
A power DC‐DC Buck‐Boost converter is controlled using a Lyapunov‐based Adaptive Backstepping Control (ABSC) technique. The system exhibits unfavorable behavior due to its non‐minimum structure, necessitating a well‐regulated controller to guarantee stability.
Farshid Mohammadi, Ali Kaffash, Zahra Donyagozashteh, Minoo Marasi, Mojtaba Tavakoli   +4 more
wiley   +1 more source

Design of an Improved Robust Fractional‐Order PID Controller for Buck–Boost Converter using Snake Optimization Algorithm

IET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.
This study addresses these challenges by employing an advanced control technique, leveraging fractional‐order controllers enhanced by cutting‐edge optimization algorithms. The control of a DC–DC buck–boost converter is achieved using a fractional‐order proportional–integral–derivative approach.
Seyyed Morteza Ghamari, Hasan Molaee, Mehrdad Ghahramani, Daryoush Habibi, Asma Aziz   +4 more
wiley   +1 more source

Impartial near‐optimal control and sizing for battery hybrid energy system balance via grey wolf optimizers: Lead acid and lithium‐ion technologies

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
Abstract The balance of renewable‐energy‐based power systems has witnessed significant importance particularly with their rapid integration within these systems. The optimal sizing and control of energy storage systems (ESS) in hybrid power systems (HPSs) based on renewable energy becomes of particular interest.
Haitham S. Ramadan, Hassan Haes Alhelou, Abdelsalam A. Ahmed   +2 more
wiley   +1 more source

A Deep Learning‐to‐learning Based Control system for renewable microgrids

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
This paper focuses on wind power forecasting and optimal management and control of renewable microgrids (MGs) in a realistic environment. For robust and efficient scheduling of MG, an optimal framework based on TLBO and deep learning is proposed. Abstract In terms of microgrids (MGs) operation, optimal control and management are vital issues that must ...
Hossein Mohammadi, Shiva Jokar, Mojtaba Mohammadi, Abdollah Kavousi Fard, Morteza Dabbaghjamanesh, Mazaher Karimi   +5 more
wiley   +1 more source

Application of the crow search algorithm to achieve an optimal solution for a double link manipulator

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Robotic manipulators are mechanical devices that are electronically controlled and have several linkages that allow them to do specific jobs under specified situations.
Venkata Satya Durga Manohar Sahu, Padarbinda Samal, Chinmoy Kumar Panigrahi   +2 more
doaj   +1 more source

Optimised Allocation of Distributed Generation and Electric Vehicles Integration in Microgrids: A Multi‐Criteria Approach

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
In this study, the optimal allocation of FCs, PVs and WTs is focused on considering not only the economic goals but also voltage stability and operational conditions. ABSTRACT This paper presents the allocation and planning of renewable distributed generations such as wind turbines and photovoltaic systems, and non‐renewable generators such as fuel ...
Mehdi Veisi, Daniel Sahebi, Mazaher Karimi, Farhad Shahnia   +3 more
wiley   +1 more source

Optimal Allocation and Techno‐Economic Assessment of Hybrid Energy Systems Considering Uncertainty and Reliability: A Case Study in a Remote Region

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
This paper explores the implementation of a hybrid renewable energy system for a remote region in Iran, combining a wind turbine, photovoltaic panels, a battery, and a diesel generator. Using a modified particle swarm algorithm, the system is optimized to minimize the annualized cost while addressing demand fluctuations and renewable energy uncertainty.
Farnoud Sharifi, Mahdi Najafi, Abdolreza Sheikholeslami   +2 more
wiley   +1 more source

Analysis and Impact of Data‐Driven Hourly Probability Distribution Functions in Microgrids Day‐Ahead Energy Management under Uncertainties: A Case Study in New South Wales, Australia

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
This study presents an enhanced stochastic optimization approach for microgrid energy management, addressing renewable energy uncertainties by selecting optimal hourly probability distributions based on forecast errors from an XGBoost model. Scenario generation and reduction methods significantly improved unit commitment and economic dispatch ...
Ayodele Benjamin Esan, Hussain Shareef, Ahmad K. ALAhmad, Oghenewvogaga Oghorada   +3 more
wiley   +1 more source

An enhanced crow search algorithm based on the disturbance method for engineering design problems

AIP Advances
To address the shortcomings of the basic crow search algorithm (CSA), an enhanced crow search algorithm based on the disturbance method (DMCSA) is proposed. The basic CSA has slightly weak exploration and development abilities.
Yuqi Fan, Zhihong Peng, Yaping Wang, Bingwei Gao, Shengbiao Li   +4 more
doaj   +1 more source