Title :
Application of fuzzy logic to electricity pricing in a deregulated environment
Author :
Dondo, Maxwell G. ; El-Hawary, M.E.
Author_Institution :
Dept. of Electr. Eng., Tech. Univ., Halifax, NS, Canada
Abstract :
This paper presents a fuzzy systems approach to the real-time pricing of electric power-a tool that can be useful in economic planning that involves electricity consumption. The load in a power system network is not known in advance with certainty. This paper presents an approach to model load uncertainties at each bus using a fuzzy logic approach. The modelled fuzzy loads are applied to an optimal power flow-based spot pricing model to obtain fuzzy electricity rates which can be defuzzified to give crisp rates. The proposed approach is successfully tested on all-thermal 14 and 118 bus electric power networks
Keywords :
costing; economics; electricity supply industry; fuzzy logic; load flow; load forecasting; power consumption; power system analysis computing; power system planning; tariffs; computer simulation; crisp rates; deregulated environment; economic planning; electricity consumption; electricity pricing; fuzzy electricity rates; fuzzy systems approach; load uncertainties; optimal power flow; real-time pricing; spot pricing model; Electricity supply industry deregulation; Fuzzy logic; Fuzzy systems; Load modeling; Power generation economics; Power system economics; Power system modeling; Power system planning; Pricing; Real time systems;
Conference_Titel :
Electrical and Computer Engineering, 1996. Canadian Conference on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-3143-5
DOI :
10.1109/CCECE.1996.548118
