Deregulation and restructuring of electric power industry is occurring in many parts of the world. It is aimed at introducing competition in the supply and retail side of the industry, while maintaining control over the transmission lines. Tracing methodology hence had been introduced to overcome problems related to the Marginal pricing of transmission costs. This paper first analyses of the proportional method which leads to a redefined power tracing method, and then further refines the proposed prediction method by establishing trends of the learning coefficients, using them to examine the relationship between accuracy and number of samples taken. Response of individual generators to change in demand and the corresponding associated losses are also presented. MATLAB with matpower4.0b extension was used to present the study on the IEEE 24bus RTS.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.