Evolutionary symbiotic organisms search technique in power scheduling for loss control in power transmission system

• Published in: International Journal of Advanced Trends in Computer Science and Engineering
• Main Author: Farid N.M.M.; Musirin I.; Hannon N.H.S.; Amroune M.; Othman Z.; Othman M.M.; Shaaya S.A.; Zamani M.K.M.; Aminuddin N.
• Format: Article
• Language: English
• Published: World Academy of Research in Science and Engineering 2019
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074174043&doi=10.30534%2fijatcse%2f2019%2f7481.32019&partnerID=40&md5=cb7184e5f6f07d12dd52cd8d0f6f3c14

This paper introduces Evolutionary Symbiotic Organisms Search (ESOS) as an optimizing method for loss minimization in power system. It is inspired by the evolution and interactions between organisms to survive in the ecosystem. Symbiotic Organisms Search (SOS) integrated with Evolutionary Programming (EP) is proposed for solving power scheduling problem in the attempt to control the loss values in electric power system. In this study, SOS algorithm was improvised by adding the element of EP in the determination of best combination of power scheduling in loss minimization. The technique is tested on IEEE 30-Bus Reliability System (RTS) to improve the power loss. To realize the effectiveness of the proposed ESOS technique, several scenarios were considered involving several generator units to participate in the scheduling scheme. Results from the study revealed that the proposed ESOS technique is superior than the traditional EP and SOS. This is quite convincing for further implementation in a larger system or complicated problems such as multi-objective optimization schemes. © 2019, World Academy of Research in Science and Engineering. All rights reserved.