Developed multi-objective grey wolf optimizer with fuzzy logic decision-making tool for direction overcurrent relays coordination

This paper proposes a new methodology for solving the coordination problem of DOCRs based on multi-objective grey wolf optimizer and fuzzy logic decision-making. In addition to the conventional objective function, a new objective function which aims to minimize the discrimination time between primary and backup relays is proposed. Moreover, the conventional objective function related to minimizing the total operating time of primary and backup relays is considered. The feasibility and performance of the proposed methodology for solving the coordination problem of DOCRs are investigated using two different systems (8-bus system and IEEE-30 bus system). The proposed methodology is compared with other reported methods. The results prove the viability and effectiveness of the proposed methodology to solve the DOCR coordination problem without any miscoordination between primary and backup relays.

[1]  Hao Wu,et al.  A New Method of Mobile Ad Hoc Network Routing Based on Greed Forwarding Improvement Strategy , 2019, IEEE Access.

[2]  S. H. Fathi,et al.  Overcurrent Relays Coordination Considering the Priority of Constraints , 2011, IEEE Transactions on Power Delivery.

[3]  Hany M. Hasanien,et al.  Optimized settings of directional overcurrent relays in meshed power networks using stochastic fractal search algorithm , 2017 .

[4]  Yue Dong,et al.  Novel optimized link state routing protocol based on quantum genetic strategy for mobile learning , 2018, J. Netw. Comput. Appl..

[5]  Xiao-dan Zhang,et al.  Design and implementation of embedded un-interruptible power supply system (EUPSS) for web-based mobile application , 2012, Enterp. Inf. Syst..

[6]  Gora Chand Nandi,et al.  Multiobjective optimized bipedal locomotion , 2019, Int. J. Mach. Learn. Cybern..

[7]  Zeshui Xu,et al.  Covering-based general multigranulation intuitionistic fuzzy rough sets and corresponding applications to multi-attribute group decision-making , 2019, Inf. Sci..

[8]  Mauridhi Hery Purnomo,et al.  Adaptive modified firefly algorithm for optimal coordination of overcurrent relays , 2017 .

[9]  Guoqiang Mao,et al.  New Multi-Hop Clustering Algorithm for Vehicular Ad Hoc Networks , 2019, IEEE Transactions on Intelligent Transportation Systems.

[10]  Kartik S. Pandya,et al.  Coordination of directional overcurrent relays in the interconnected power systems using effective tuning of harmony search algorithm , 2017, Sustain. Comput. Informatics Syst..

[11]  Xiao-huan Liu,et al.  Dynamic Analysis for the Average Shortest Path Length of Mobile Ad Hoc Networks Under Random Failure Scenarios , 2019, IEEE Access.

[12]  M. A. Abido,et al.  Optimal location and setting of SVC and TCSC devices using non-dominated sorting particle swarm optimization , 2009 .

[13]  Gora Chand Nandi,et al.  Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach , 2017, Neural Computing and Applications.

[14]  Yue Dong,et al.  A kind of effective data aggregating method based on compressive sensing for wireless sensor network , 2018, EURASIP Journal on Wireless Communications and Networking.

[15]  Xiang Wang,et al.  A novel multicast routing method with minimum transmission for WSN of cloud computing service , 2015, Soft Comput..

[16]  Salah Kamel,et al.  Modified water cycle algorithm for optimal direction overcurrent relays coordination , 2019, Appl. Soft Comput..

[17]  Kusum Deep,et al.  Optimal coordination of over-current relays using modified differential evolution algorithms , 2010, Eng. Appl. Artif. Intell..

[18]  Vijay S. Kale,et al.  Optimum Time Coordination of Overcurrent Relays in Distribution System Using BigM (Penalty) Method , 2009 .

[19]  De-gan Zhang A new approach and system for attentive mobile learning based on seamless migration , 2010, Applied Intelligence.

[20]  Yiyu Yao,et al.  TOPSIS method based on a fuzzy covering approximation space: An application to biological nano-materials selection , 2019, Inf. Sci..

[21]  MirjaliliSeyedali,et al.  Multi-objective grey wolf optimizer , 2016 .

[22]  Ehab F. El-Saadany,et al.  Optimal coordination of overcurrent relays using a modified particle swarm optimization , 2006 .

[23]  Wei-Zhi Wu,et al.  Novel fuzzy rough set models and corresponding applications to multi-criteria decision-making , 2020, Fuzzy Sets Syst..

[24]  Christopher Rose,et al.  Editorial: Mobility Management , 1996, Mob. Networks Appl..

[25]  Gora Chand Nandi,et al.  Human Gait State Prediction Using Cellular Automata and Classification Using ELM , 2018, Advances in Intelligent Systems and Computing.

[26]  Ting Zhang,et al.  Novel dynamic source routing protocol (DSR) based on genetic algorithm‐bacterial foraging optimization (GA‐BFO) , 2018, Int. J. Commun. Syst..

[27]  Gora Chand Nandi,et al.  Biometric gait identification based on a multilayer perceptron , 2015, Robotics Auton. Syst..

[28]  A. Y. Abdelaziz,et al.  An adaptive protection scheme for optimal coordination of overcurrent relays , 2002 .

[29]  Millie Pant,et al.  Coordination of directional overcurrent relays using opposition based chaotic differential evolution algorithm , 2014 .

[30]  Leandro dos Santos Coelho,et al.  Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization , 2016, Expert Syst. Appl..

[31]  Chen Chen,et al.  New Method of Energy Efficient Subcarrier Allocation Based on Evolutionary Game Theory , 2018, Mob. Networks Appl..

[32]  De-gan Zhang,et al.  Novel approach of distributed & adaptive trust metrics for MANET , 2019, Wirel. Networks.

[33]  De-gan Zhang,et al.  New Medical Image Fusion Approach with Coding Based on SCD in Wireless Sensor Network , 2015 .

[34]  Mohamed E. El-Hawary,et al.  Optimal coordination of directional overcurrent relays using hybrid BBO-LP algorithm with the best extracted time-current characteristic curve , 2017, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).

[35]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[36]  Bijaya Ketan Panigrahi,et al.  Optimal coordination of directional over-current relays using Teaching Learning-Based Optimization (TLBO) algorithm , 2013 .

[37]  Fadhel A. Albasri,et al.  Optimal Coordination of Directional Overcurrent Relays Using Biogeography-Based Optimization Algorithms , 2015, IEEE Transactions on Power Delivery.

[38]  Xiang Wang,et al.  A Novel Approach to Mapped Correlation of ID for RFID Anti-Collision , 2014, IEEE Transactions on Services Computing.

[39]  Xiang Wang,et al.  Novel Quick Start (QS) method for optimization of TCP , 2016, Wirel. Networks.

[40]  Xiaodan Zhang,et al.  A Kind of Novel Method of Power Allocation With Limited Cross-Tier Interference for CRN , 2019, IEEE Access.

[41]  Mohammad Ali Abido,et al.  Optimal coordination of directional overcurrent relays using a modified electromagnetic field optimization algorithm , 2017, Appl. Soft Comput..

[42]  Jianming Zhan,et al.  Covering-Based Variable Precision $(\mathcal {I},\mathcal {T})$-Fuzzy Rough Sets With Applications to Multiattribute Decision-Making , 2019, IEEE Transactions on Fuzzy Systems.

[43]  Fazel Abbasi,et al.  Optimal coordination of directional overcurrent relays using NSGA-II , 2015 .

[44]  Si Liu,et al.  Novel PEECR-based clustering routing approach , 2017, Soft Comput..

[45]  Ting Zhang,et al.  Novel unequal clustering routing protocol considering energy balancing based on network partition & distance for mobile education , 2017, J. Netw. Comput. Appl..

[46]  R. Kaczmarek,et al.  Coordination of directional overcurrent relays using a novel method to select their settings , 2011 .

[47]  D. K. Singh,et al.  Use of genetic algorithms (GA) for optimal coordination of directional over current relays , 2012, 2012 Students Conference on Engineering and Systems.

[48]  A. J. Urdaneta,et al.  Coordination of directional overcurrent relay timing using linear programming , 1996 .

[49]  T. Amraee,et al.  Coordination of Directional Overcurrent Relays Using Seeker Algorithm , 2012, IEEE Transactions on Power Delivery.

[50]  Wenbo Dai,et al.  A new constructing approach for a weighted topology of wireless sensor networks based on local-world theory for the Internet of Things (IOT) , 2012, Comput. Math. Appl..

[51]  Ting Zhang,et al.  Novel self-adaptive routing service algorithm for application in VANET , 2018, Applied Intelligence.

[52]  Heidar Ali Talebi,et al.  MOPSO/FDMT-based Pareto-optimal solution for coordination of overcurrent relays in interconnected networks and multi-DER microgrids , 2018 .

[53]  De-gan Zhang,et al.  A Low Duty Cycle Efficient MAC Protocol Based on Self-Adaption and Predictive Strategy , 2018, Mob. Networks Appl..

[54]  H.O. Gupta,et al.  A new nonlinear directional overcurrent relay coordination technique, and banes and boons of near-end faults based approach , 2006, IEEE Transactions on Power Delivery.

[55]  Jordan Radosavljević,et al.  Hybrid GSA-SQP algorithm for optimal coordination of directional overcurrent relays , 2016 .

[56]  Ting Zhang,et al.  Novel reliable routing method for engineering of internet of vehicles based on graph theory , 2018, Engineering Computations.

[57]  Guang Li,et al.  An Energy-Balanced Routing Method Based on Forward-Aware Factor for Wireless Sensor Networks , 2014, IEEE Transactions on Industrial Informatics.

[58]  S. S. Gokhale,et al.  Application of the Firefly algorithm to optimal over-current relay coordination , 2014, 2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM).

[59]  Yu-ya Cui,et al.  A New Algorithm of the Best Path Selection Based on Machine Learning , 2019, IEEE Access.

[60]  Martín Gómez Ravetti,et al.  Robust coordination of directional overcurrent relays using a matheuristic algorithm , 2017 .