Abstract
The increasing electricity demand in transmission system has caused the power transmission system experiencing stress condition. This phenomenon has forced the system to need urgent additional supply to maintain system adequacy, in particular the de-regulated power system environment. Distributed generation (DG) has been identified as one of the possible solutions to address this issue. DG installation has the capability to reduce transmission loss and improve the voltage profile. This paper presents evolutionary programming (EP) technique for optimizing the sizing and locations in DG installation. In this study, several DGs have been installed to address the voltage profile improvement and loss minimization; implemented on the IEEE 30-Bus Reliability Test System (RTS). Results obtained from the study revealed that, installation of multi-DGs in a transmission system has significantly minimized the transmission loss along with voltage profile improvement.
Highlights
Electricity demand in most countries gradually increased in line with the country development
Compensation efforts have been identified as the possible remedial action to alleviate between the demand and supply
Some of the popular techniques are such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Evolutionary Programming (EP) and Ant Colony Optimization (ACO)
Summary
Electricity demand in most countries gradually increased in line with the country development. The positive effect resulted by the installation of DG is line loss reduction and improvement of voltage profile [6]-[7]. With the recent technology advancement, installation of DG in the power distribution and transmission system can provide economical solution and keep network working properly. This will require optimization process to ensure the optimal or correct location to locate the DG in power system [9]. The Evolutionary Programming (EP) as a computational intelligence technique was used to determine the optimal location and sizing of distributed generation in transmission system. The objective of the optimization is to minimize the losses in the network and improving the voltage profile in transmission system. Results obtained from the study, validated on the IEEE 30-Bus Reliability Test System is promising and has the feasibility for larger and bulk power system implementation
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
