Title :
Development of a new loss prediction method in a deregulated power market using proportional sharing
Author :
Nallagownden, Perumal ; Hong, Tee Ping
Author_Institution :
Electr. & Electron. Eng. Dept., Univ. Teknol. PETRONAS, Tronoh, Malaysia
Abstract :
The advent of worldwide deregulation of power industry and unbundling of transmission services have resulted in the need to measure the flow of power primarily for pricing and tariff purposes. Reliable analysis and prediction of electrical losses is therefore attracting more attention than ever for efficient power system management. This paper presents a novel approach for the loss prediction in the deregulated power market with the insight from Euler´s Method. The effectiveness of the proposed approach is demonstrated by visual comparison and strict statistical criterion as the results suggest that it proves to be astoundingly accurate for the prediction of system losses and the associated bus losses. MATLAB with matpower4.0b extension was used to present the study on IEEE 24-bus RTS and a larger IEEE 57-bus test case.
Keywords :
load flow; power markets; power system management; power transmission; pricing; tariffs; Euler´s method; IEEE 24-bus RTS; IEEE 57-bus test; MATLAB; associated bus losses; deregulated power market; electrical losses; loss prediction; matpower4.0b extension; power flow; power industry; power system management; pricing; proportional sharing; tariff; transmission services; Approximation methods; Equations; Generators; Heating; Load flow; Power demand; Resource management; Euler´s Method; Learning Coefficients; Loss Prediction; Proportional Sharing; Regression;
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2011 5th International
Conference_Location :
Shah Alam, Selangor
Print_ISBN :
978-1-4577-0355-3
DOI :
10.1109/PEOCO.2011.5970406