Power Sharing, Tracing And Prediction Of Losses For Deregulated Operation Of Power Systems
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Date
2011
Authors
Nallagownden, Perumal
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
Fully deregulated energy market consists of a number of generation
providers, a number of transmission system operators, and a number of retailers. The
capability to predict the contribution of each generator to a retailer’s demand, the
power loss in the transaction, the line losses associated with the transaction are
necessary to frame transaction and transmission service hiring contracts. A
comparative study of the different loss allocation methods namely Pro rata,
Incremental allocation and Proportional sharing was carried out on the 14-bus,
24-bus IEEE RTS system, and from the results it was concluded that the proportional
sharing method is the most suitable method to be used in this research. Proportional
sharing based on regression and power tracing method using linear equations, was
used to determine the different transactions to supply a specific retailer’s demand,
and losses related to each transaction. The learning coefficients from a generalized
quadratic relationship and regression method using the inputs from the current and
past operating scenarios is used to predict a generator’s contribution to a retailer’s
demand, power loss for this transaction, share of transactions in a line at the retailers
end and their associated line losses, for an oncoming operating scenario. Prediction
of power loss in a transaction was performed for the loads given in the 24-bus IEEE
RTS system for different seasons of the year, different weeks and different hours of
the days. Based on the current and a few past operating scenarios Learning
Coefficients were obtained and this enables the prediction of losses and contribution
of generators for oncoming scenarios. The learning coefficients can be kept updated,
as and when new scenarios come up. The results obtained showed that the predicted
values are within acceptable limits.
Description
Keywords
Power sharing, tracing and prediction of losses , deregulated operation of power systems