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

Advances in Manta Ray Foraging Optimization: A Comprehensive Survey DOI
Farhad Soleimanian Gharehchopogh,

Shafi Ghafouri,

Mohammad Hasan Namazi

et al.

Journal of Bionic Engineering, Journal Year: 2024, Volume and Issue: 21(2), P. 953 - 990

Published: Feb. 27, 2024

Language: Английский

Citations

57
Optimal design of Fractional order PID controller based Automatic voltage regulator system using gradient-based optimization algorithm DOI Creative Commons
Saleh Masoud Abdallah Altbawi, Ahmad Safawi Mokhtar, Touqeer Ahmed Jumani

et al.

Journal of King Saud University - Engineering Sciences, Journal Year: 2021, Volume and Issue: 36(1), P. 32 - 44

Published: Aug. 5, 2021

Considering the superior control characteristics and increased tuning flexibility of Fractional-Order Proportional Integral Derivative (FOPID) controller than conventional PID regulator, this article attempts to explore its application in optimal design Automatic Voltage Regulator (AVR). Since FOPID has two additional parameters (µ ʎ) mentioned counterpart, process is comparatively difficult. To overcome stated issue, a self-regulated off-line method based on Gradient-Based Optimization (GBO) algorithm adopted current study. The gains are obtained by minimizing selected Fitness Function (FF) that chosen as Time Absolute Error (ITAE) simulations performed using MATLAB/SIMULINK 2018a test compare performance proposed GBO-based AVR dynamic response, stability, robustness evaluation metrics with some recently published metaheuristic optimization designs literature. results show provides most response enhanced stability among considered designs, thus proves efficacy essence.

Language: Английский

Citations

81
Design and robustness analysis of an Automatic Voltage Regulator system controller by using Equilibrium Optimizer algorithm DOI
Mihailo Micev, Martin Ćalasan, Diego Oliva

et al.

Computers & Electrical Engineering, Journal Year: 2020, Volume and Issue: 89, P. 106930 - 106930

Published: Dec. 4, 2020

Language: Английский

Citations

76
An effective control design approach based on novel enhanced aquila optimizer for automatic voltage regulator DOI
Serdar Ekinci, Davut İzci, Erdal Eker

et al.

Artificial Intelligence Review, Journal Year: 2022, Volume and Issue: 56(2), P. 1731 - 1762

Published: June 10, 2022

Language: Английский

Citations

64
The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction DOI

Rana Muhammad Adnan,

Özgür Kişi, Reham R. Mostafa

et al.

Hydrological Sciences Journal, Journal Year: 2021, Volume and Issue: 67(2), P. 161 - 174

Published: Nov. 30, 2021

This paper focuses on the development of a robust accurate streamflow prediction model by balancing abilities exploitation and exploration to find best parameters machine learning model. To do so, simulated annealing (SA) algorithm is integrated with mayfly optimization (MOA) as SAMOA determine optimal hyper-parameters support vector regression (SVR) overcome weakness MOA method. The proposed method compared classical SVR hybrid SVR-MOA. examine accuracy selected methods, monthly hydroclimatic data from Jhelum River Basin used predict basis RMSE, MAE, NSE, R2 indices. Test results show that SVR-SAMOA outperformed SVR-MOA models. reduced errors models decreasing RMSE MSE 21.4% 14.7% 21.7% 15.1%, respectively, in test stage.

Language: Английский

Citations

61
An enhanced manta ray foraging optimization algorithm for shape optimization of complex CCG-Ball curves DOI
Gang Hu, Li Min, Xiaofeng Wang

et al.

Knowledge-Based Systems, Journal Year: 2022, Volume and Issue: 240, P. 108071 - 108071

Published: Jan. 4, 2022

Language: Английский

Citations

60
Improved Lévy flight distribution algorithm with FDB-based guiding mechanism for AVR system optimal design DOI
Hüseyin Bakır, Uğur Güvenç, Hamdi Tolga Kahraman

et al.

Computers & Industrial Engineering, Journal Year: 2022, Volume and Issue: 168, P. 108032 - 108032

Published: Feb. 28, 2022

Language: Английский

Citations

47
Operation control, energy management, and power quality enhancement for a cluster of isolated microgrids DOI Creative Commons
Ahmed Hussain Elmetwaly, Azza A. ElDesouky, Ahmed I. Omar

et al.

Ain Shams Engineering Journal, Journal Year: 2022, Volume and Issue: 13(5), P. 101737 - 101737

Published: March 2, 2022

Several isolated microgrids (MGs) may exist in remote areas because of the geographical and/or utility investment limitations. The MG has its challenges depending on configuration, energy sources, and nature loads resulting power quality issues. Clustering these MGs based their relative locations to form several clusters interconnecting them provide additional benefits such as improved reliability, stability, cost-effective operation. This entails capability sharing between sources through distributive exchange within designing an effective management system (EMS). In this work, a proposed EMS built marine predator algorithm (MPA) is presented, with design hierarchical decentralized strategy for cluster interconnected MGs. criterion encompasses two key steps. First, developing central controller (MGCC) each optimally handle use large-scale hybrid distributed resources well resolution Second, operator (MGO) assists among surmount any probable unbalance generations demand cluster's entire coverage area. To enhance complete MG’s dynamic performance, adaptive voltage restorer (ADVR) proportional-integral-derivative (PID) MPA employed supervisory controller. Different cases are studied using MATLAB/Simulink environment. Finally, comparative performance assessment various optimization strategies other like fractional order PID (FOPID) presented achieve effectiveness robustness ADVR.

Language: Английский

Citations

44
Optimal PID plus second-order derivative controller design for AVR system using a modified Runge Kutta optimizer and Bode’s ideal reference model DOI
Davut İzci, Serdar Ekinci, Seyedali Mirjalili

et al.

International Journal of Dynamics and Control, Journal Year: 2022, Volume and Issue: 11(3), P. 1247 - 1264

Published: Oct. 2, 2022

Language: Английский

Citations

43
An Improved Marine Predators Algorithm-Tuned Fractional-Order PID Controller for Automatic Voltage Regulator System DOI Creative Commons
Mohd Zaidi Mohd Tumari, Mohd Ashraf Ahmad, Mohd Helmi Suid

et al.

Fractal and Fractional, Journal Year: 2023, Volume and Issue: 7(7), P. 561 - 561

Published: July 20, 2023

One of the most popular controllers for automatic voltage regulator (AVR) in maintaining level a synchronous generator is fractional-order proportional–integral-derivative (FOPID) controller. Unfortunately, tuning FOPID controller challenging since there are five gains compared to three conventional proportional–integral–derivative (PID) Therefore, this research work presents variant marine predators algorithm (MPA) AVR system. Here, two modifications applied existing MPA: hybridization between MPA and safe experimentation dynamics (SEDA) updating mechanism solve local optima issue, introduction tunable step size adaptive coefficient (CF) improve searching capability. The effectiveness proposed method system was assessed terms convergence curve objective function, statistical analysis Wilcoxon’s rank test, response analysis, stability analyses, robustness analyses where subjected noise, disturbance, parameter uncertainties. We have shown that our has improved system’s transient also produced about times better results function with other recent metaheuristic optimization-tuned controllers.

Language: Английский

Citations

42