Modified Gradient-Based Algorithm for Distributed Generation and Capacitors Integration in Radial Distribution Networks DOI Creative Commons
Ali M. El‐Rifaie, Abdullah M. Shaheen, Mohamed A. Tolba

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 120899 - 120917

Published: Jan. 1, 2023

With the use of cutting-edge demand management at system or home level and powerful network reconfiguration tools, smart grids are expected to introduce advanced hardware software resources strengthen operation power systems. This article describes a Modified Gradient-Based Optimization (MGBO) algorithm for Distributed Generation (DG) capacitors integration in distribution feeders. To increase variety produced searching individuals, suggested MGBO combines basic Gradient Searching Method (GSM) Local Escape Mechanism (LEM) with binomial crossover strategy. combined cross-over strategy upgrades forthcoming individuals be more random. The LEM assists evading local optima, whereas GSM guides scan promising regions facilitates its convergence optimum solution. method is designed implemented improve performance radial networks by reducing technical losses while taking into account peak loading. Its relevance tested on practical 59-bus Cairo feeder Egypt large-scale 135-bus feeder. proposed compared original GBO, Manta ray foraging optimization (MRFO) honey badger (HBA). whole comparison GBO newly developed algorithms demonstrates that derives best all cases studied. For Egypt, shows great improvement 18.40%, 20.17%, 2.29% robustness indicator standard deviation MRFO, HBA, respectively. feeder, 46.92%, 62.94%, 67.87%

Language: Английский

Manta ray foraging optimization based on mechanics game and progressive learning for multiple optimization problems DOI
Donglin Zhu, Siwei Wang, Changjun Zhou

et al.

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 145, P. 110561 - 110561

Published: June 21, 2023

Language: Английский

Citations

36
An intelligent tuning scheme with a master/slave approach for efficient control of the automatic voltage regulator DOI
Davut İzci, Serdar Ekinci, Seyedali Mirjalili

et al.

Neural Computing and Applications, Journal Year: 2023, Volume and Issue: 35(26), P. 19099 - 19115

Published: June 18, 2023

Language: Английский

Citations

32
Manta ray foraging optimization algorithm with mathematical spiral foraging strategies for solving economic load dispatching problems in power systems DOI Creative Commons
Xingyue Zhang,

Wen-Kuo Hao,

Jie-Sheng Wang

et al.

Alexandria Engineering Journal, Journal Year: 2023, Volume and Issue: 70, P. 613 - 640

Published: March 16, 2023

Language: Английский

Citations

29
A fractional order PID tuning tool for automatic voltage regulator using marine predators algorithm DOI Creative Commons
Mohd Zaidi Mohd Tumari, Mohd Ashraf Ahmad, Muhammad Ikram Mohd Rashid

et al.

Energy Reports, Journal Year: 2023, Volume and Issue: 9, P. 416 - 421

Published: Oct. 19, 2023

The fractional-order proportional-integral-derivative (FOPID) controller stands as a widely embraced choice for the task of automatic voltage regulation (AVR) when it comes to maintaining output synchronous generators. Nevertheless, fine-tuning FOPID presents formidable challenge, mainly because possesses five tuning gains, in contrast conventional PID controller, which has three gains. Consequently, this paper introduces novel tool tailored AVR system by utilizing marine predators algorithm (MPA). To gauge effectiveness proposed approach, two key evaluation criteria are employed: step response analysis and trajectory tracking analysis. results research reveal that MPA-FOPID demonstrates exceptional performance criteria, notably enhancing transient comparison other controllers optimized through recent metaheuristic algorithms.

Language: Английский

Citations

29
A novel control scheme for automatic voltage regulator using novel modified artificial rabbits optimizer DOI Creative Commons
Davut İzci, Rizk M. Rizk‐Allah, Václav Snåšel

et al.

e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2023, Volume and Issue: 6, P. 100325 - 100325

Published: Oct. 16, 2023

Automatic voltage regulators (AVRs) are essential components in electrical systems to maintain stable output, ensuring optimal performance and equipment protection. The effectiveness of AVRs rely on key parameters such as regulation, response time, stability, efficiency. Integrating controllers with offers centralized monitoring enhancing output This study therefore first discusses various controller types which showcase distinctive capabilities based their tuning strategies then introduces an intelligent optimization approach using fractional-order proportional-integral-derivative double derivative (FOPIDD2) tailored for AVRs. adopts the artificial rabbits (ARO) algorithm, fortified adaptive local search (ALS) mechanism experience-based perturbed learning (EPL) strategy. modified version (m-ARO) enhances solution diversity navigational efficacy, resulting improved quality. study's core objective is demonstrate superior m-ARO-based FOPIDD2 addressing multifaceted challenges AVR control, outperforming conventional techniques speed response, robustness, To validate method's a comparative analysis conducted existing different algorithms. Results indicate that proposed achieves metrics, demonstrating its capability. also includes wider perspective by considering nineteen controllers, reported literature, comprehensive comparison. Notably, method exhibits best further affirming effectiveness.

Language: Английский

Citations

26
Achieving improved stability for automatic voltage regulation with fractional-order PID plus double-derivative controller and mountain gazelle optimizer DOI
Davut İzci, Laith Abualigah, Özay Can

et al.

International Journal of Dynamics and Control, Journal Year: 2024, Volume and Issue: 12(7), P. 2550 - 2565

Published: Feb. 1, 2024

Language: Английский

Citations

15
An adaptive fractional controller design for automatic voltage regulator system: sigmoid-based fractional-order PID controller DOI Creative Commons
Ali Kıvanç Şahin, Bora Çavdar, Mustafa Şinasi Ayas

et al.

Neural Computing and Applications, Journal Year: 2024, Volume and Issue: 36(23), P. 14409 - 14431

Published: May 7, 2024

Abstract The primary objective of a power system is to provide safe and reliable electrical energy consumers. This achieved by maintaining the stability system, multifaceted concept that can be divided into three distinct classes. focus this study on one these classes, voltage stability. A critical component in automatic regulator (AVR) synchronous generators. In paper, novel control method, sigmoid-based fractional-order PID (SFOPID), introduced with aim improving dynamic response robustness AVR system. dandelion optimizer (DO), successful optimization algorithm, used optimize parameters proposed SFOPID strategy. process for DO-SFOPID strategy includes variety functions, including error-based metrics such as integral absolute error, squared time addition user-defined Zwee Lee Gaing’s metric. effectiveness technique has been rigorously investigated through series tests analyses, aspects domain, robustness, frequency evaluation nonlinearity effects. simulation results are compared between (FOPID) (SPID) techniques, both which have tuned using different metaheuristic algorithms gained significant recognition recent years. As result comparative superiority confirmed it shows an improved performance respect other techniques. Furthermore, validated within experimental setup show highly terms robustness. summary, provides comprehensive evidence supporting results.

Language: Английский

Citations

9
A Grunwald–Letnikov based Manta ray foraging optimizer for global optimization and image segmentation DOI
Mohamed Abd Elaziz, Dalia Yousri, Mohammed A. A. Al‐qaness

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2020, Volume and Issue: 98, P. 104105 - 104105

Published: Dec. 16, 2020

Language: Английский

Citations

62
Improved fractional PIλDμ controller for AVR system using Chaotic Black Widow algorithm DOI
Vijaya Kumar Munagala, Ravi Kumar Jatoth

Computers & Electrical Engineering, Journal Year: 2021, Volume and Issue: 97, P. 107600 - 107600

Published: Nov. 26, 2021

Language: Английский

Citations

43
Performance evaluation of a novel improved slime mould algorithm for direct current motor and automatic voltage regulator systems DOI
Davut İzci, Serdar Ekinci, H. L. Zeynelgil

et al.

Transactions of the Institute of Measurement and Control, Journal Year: 2021, Volume and Issue: 44(2), P. 435 - 456

Published: Aug. 19, 2021

This study deals with the controlling speed of a direct current (DC) motor via fractional order proportional–integral–derivative (FOPID) controller and maintaining terminal voltage level an automatic regulator (AVR) plus second derivative (PIDD 2 ) controller. To adjust parameters those controllers, novel improved slime mould algorithm (ISMA) is proposed. The latter metaheuristic developed in this work. proposed aims to improve original SMA terms exploration aid modified opposition-based learning scheme exploitation Nelder–Mead simplex search method. A time domain objective function, which includes response specifications steady state error maximum overshoot along rise settling times, used as performance index design FOPID controller-based DC system PIDD AVR system. approaches for both systems are assessed through frequency simulations statistical tests show greater algorithm. Further this, efficacy compared other available effective literature. extensive comparative results demonstrate method be superior state-of-the-art control systems.

Language: Английский

Citations

41