Tap changer optimisation using embedded differential evolutionary programming technique for loss control in power system

• Published in: Bulletin of Electrical Engineering and Informatics
• Main Author: Faris A.; Musirin I.; Jelani S.; Ismail S.A.; Mansor M.H.; Senthil Kumar A.V.
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088977232&doi=10.11591%2feei.v9i6.2505&partnerID=40&md5=d7c7f490e22bec4ee78402a5bf47e31f

Over-compensation and under-compensation phenomena are two undesirable results in power system compensation. This will be not a good option in power system planning and operation. The non-optimal values of the compensating parameters subjected to a power system have contributed to these phenomena. Thus, a reliable optimization technique is mandatory to alleviate this issue. This paper presents a stochastic optimization technique used to fix the power loss control in a high demand power system due to the load increase, which causes the voltage decay problems leading to current increase and system loss increment. A new optimization technique termed as embedded differential evolutionary programming (EDEP) is proposed, which integrates the traditional differential evolution (DE) and evolutionary programming (EP). Consequently, EDEP was for solving optimizations problem in power system through the tap changer optimizations scheme. Results obtained from this study are significantly superior compared to the traditional EP with implementation on the IEEE 30-bus reliability test system (RTS) for the loss minimization scheme. © 2020, Institute of Advanced Engineering and Science. All rights reserved.