Journal ArticleDOI
Optimal coordination of directional overcurrent relays using a modified electromagnetic field optimization algorithm
H.R.E.H. Bouchekara,Mohamed Zellagui,M. A. Abido +2 more
- Vol. 54, pp 267-283
Reads0
Chats0
TLDR
A modified version of the Electromagnetic Field Optimization (EFO) algorithm referred to as MEFO, inspired by the behaviour of particles of electromagnets with different polarities, is developed for the optimal coordination of Directional Overcurrent Relays.Abstract:
Display Omitted We solved the Directional Over Current Relays (DOCRs) optimal coordination problem.We used the Electromagnetic Field Optimization Algorithm (EFO).We improved the EFO algorithm for the optimal coordination of DOCRs.The proposed algorithm is better than other optimization algorithms. The optimal coordination of Directional Overcurrent Relays (DOCRs) is of paramount importance for power systems protection. The optimization model of this problem is non-linear and highly constrained. The main objective of this paper is to develop a modified version of the Electromagnetic Field Optimization (EFO) algorithm referred to as MEFO for the optimal coordination of DOCRs. The EFO is inspired by the behaviour of particles of electromagnets with different polarities where attractionrepulsion forces among these electromagnets lead particles toward global minima. It uses also the golden ratio. The proposed algorithm has been applied to three test systems including the 8-bus, the 9-bus and the 15-bus test systems. Furthermore, the results obtained using the proposed MEFO are compared with those obtained using the traditional EFO and a number of well-known algorithms. The obtained results show the effectiveness of the proposed MEFO to minimize the relay operating time for the optimal coordination of DOCRs.read more
Citations
More filters
Journal ArticleDOI
Modified water cycle algorithm for optimal direction overcurrent relays coordination
TL;DR: The results show the effectiveness and superiority of the proposed algorithm to solve DOCRs coordination problem, compared with traditional WCA and other optimization techniques.
Journal ArticleDOI
Prediction of the effects of climate change on hydroelectric generation, electricity demand, and emissions of greenhouse gases under climatic scenarios and optimized ANN model
Li-Na Guo,Chen She,De-Bin Kong,Shuai-Ling Yan,Yi-Peng Xu,Majid Khayatnezhad,Fatemeh Gholinia +6 more
TL;DR: In this paper, an attempt is made to manage the gap between energy demand and energy supply by predicting hydropower production, energy demand, and greenhouse gas emissions by using ANN model and improved Electromagnetic Field Optimization (IEFO) algorithms.
Journal ArticleDOI
Protection of AC microgrid integrated with renewable energy sources – A research review and future trends
TL;DR: This paper explores and analyses various microgrid protection techniques to find out their shortcomings and seek a viable solution for future smart microgrid.
Journal ArticleDOI
Power quality enhancement of grid-connected fuel cell using evolutionary computing techniques
Mohamed I. Mosaad,Mohamed I. Mosaad,Haitham Saad Mohamed Ramadan,Haitham Saad Mohamed Ramadan +3 more
TL;DR: Simulation results, using Matlab/Simulink™, show the significance of the three optimization techniques in regulating the voltage at PCC with reduced harmonics during the system voltage sag and swell conditions when compared to the PSO.
Journal ArticleDOI
Progress on Protection Strategies to Mitigate the Impact of Renewable Distributed Generation on Distribution Systems
Mohamad Norshahrani,Hazlie Mokhlis,Ab Halim Abu Bakar,Jasrul Jamani Jamian,Shivashankar Sukumar +4 more
TL;DR: In this article, the authors reviewed the current progress in protection strategies to mitigate the impact of distributed generation in the distribution network and presented a comparative study in terms of the respective benefits, shortcomings and implementation cost.
References
More filters
Journal ArticleDOI
Incremental Support Vector Learning for Ordinal Regression
TL;DR: Numerical experiments on the several benchmark and real-world data sets show that the incremental algorithm can converge to the optimal solution in a finite number of steps, and is faster than the existing batch and incremental SVOR algorithms.
Journal ArticleDOI
Enabling Personalized Search over Encrypted Outsourced Data with Efficiency Improvement
TL;DR: This paper study and solve the problem of personalized multi-keyword ranked search over encrypted data (PRSE) while preserving privacy in cloud computing with the help of semantic ontology WordNet, and proposes two PRSE schemes for different search intentions.
Journal ArticleDOI
A rapid learning algorithm for vehicle classification
TL;DR: Experimental results demonstrate that the proposed approaches not only speed up the training and incremental learning processes of AdaBoost, but also yield better or competitive vehicle classification accuracies compared with several state-of-the-art methods, showing their potential for real-time applications.
Journal ArticleDOI
A Robust Regularization Path Algorithm for $\nu $ -Support Vector Classification
Bin Gu,Victor S. Sheng +1 more
TL;DR: A robust regularization path algorithm is proposed for LaTeX vector classification, based on lower upper decomposition with partial pivoting, that can avoid the exceptions completely, handle the singularities in the key matrix, and fit the entire solution path in a finite number of steps.
Journal ArticleDOI
Optimal coordination of directional overcurrent relays in interconnected power systems
TL;DR: Several optimization procedures, including direct methods and decomposition techniques, for solving this large scale coordination problem are described, and results of optimally coordinating directional overcurrent relays in power systems with up to 30 buses are presented.
Related Papers (5)
Optimum Coordination of Directional Overcurrent Relays Using the Hybrid GA-NLP Approach
P P Bedekar,S R Bhide +1 more