Fuzzy system approach to power purchases in a power pool of a deregulated power system Online publication date: Sat, 29-Nov-2014
by Ajoy Kumar Chakraborty; Tulika Bhattacharjee
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 3, No. 1, 2012
Abstract: Fuzzy Logic is known for its applicability in modelling uncertainty and has been applied extensively to model various types of uncertainty in engineering sector. The main objective of this paper is to present a fuzzy approach to power purchases in a deregulated power system. Deregulation of the Electric Supply Industry (ESI) has resulted in electricity being traded as a commodity in the electricity market. However, the spot price of electricity is not known apriori and to generate an optimal power purchase plan, the same has to be estimated with certain degrees of uncertainty. In this paper, an attempt has been made to estimate the same using fuzzy logic. The uncertainty factor of load forecasting is also dealt with using fuzzy membership function in the current study. The results highlight the benefit gained viz. saving of cost owing to strategic drawal.
Online publication date: Sat, 29-Nov-2014
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