Int. J. of Artificial Intelligence and Soft Computing   »   2012 Vol.3, No.1

 

 

Title: Fuzzy system approach to power purchases in a power pool of a deregulated power system

 

Authors: Ajoy Kumar Chakraborty; Tulika Bhattacharjee

 

Addresses:
Department of Electrical Engineering, National Institute of Technology, Agartala, Tripura 799055, India
Department of Electrical Engineering, National Institute of Technology, Agartala, Tripura 799055, India

 

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.

 

Keywords: deregulated power systems; power system economics; electricity spot pricing; fuzzy logic; power purchase; OPF; optimal power flow; modelling; uncertainty; load forecasting.

 

DOI: 10.1504/IJAISC.2012.048177

 

Int. J. of Artificial Intelligence and Soft Computing, 2012 Vol.3, No.1, pp.39 - 49

 

Available online: 25 Jul 2012

 

 

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