Comparative analysis of bacterial foraging optimization algorithm and evolutionary programming for load shedding in power system
This paper presents a comparative analysis of Bacterial Foraging Optimization Algorithm (BFOA) and Evolutionary Programming (EP) in determining the locations and amount of load to be shed in power systems for optimal load shedding. Load shedding is done by removing a certain amount of loads at appoi...
Published in: | International Journal of Simulation: Systems, Science and Technology |
---|---|
Main Author: | 2-s2.0-85017215654 |
Format: | Article |
Language: | English |
Published: |
UK Simulation Society
2017
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017215654&doi=10.5013%2fIJSSST.a.17.41.18&partnerID=40&md5=b648a46a892db1c4189585771a1ad147 |
Similar Items
-
Optimal load shedding scheme using grasshopper optimization algorithm for islanded power system with distributed energy resources
by: Ahmadipour M.; Murtadha Othman M.; Salam Z.; Alrifaey M.; Mohammed Ridha H.; Veerasamy V.
Published: (2023) -
Optimal load shedding scheme using grasshopper optimization algorithm for islanded power system with distributed energy resources
by: 2-s2.0-85131122625
Published: (2023) -
Application of computational intelligence techniques for load shedding in power systems: A review
by: 2-s2.0-84879899365
Published: (2013) -
Humanoid robot arm performance optimization using multi objective evolutionary algorithm
by: 2-s2.0-84904708930
Published: (2014) -
Automatic Control of Microwave Heating System Based on PID and Evolutionary Computation
by: Idris, et al.
Published: (2024)