Title :
Fuzzy model of generator bidding system in competitive electricity markets
Author :
Widjaja, Moeljono ; Sugianto, Ly Fie ; Morrison, Robert Edward
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia
fDate :
6/23/1905 12:00:00 AM
Abstract :
The deregulation of the electricity industry has prompted a wide interest, especially among generation companies, in developing optimum bidding strategies in order to maximize profits. The paper presents an approach to strategic bidding using a fuzzy methodology that is able to handle uncertainty in market parameters such as load demand, generator bid, power dispatch, price, cost, revenue and profit. A multi-level fuzzy system is developed to model a generator bidding system. This system is able to extract market behaviors from historical market data, and is used to calculate optimum bid multipliers. The optimum bid multipliers are tested on a simplified electricity market model, namely a four-generator two-bus system. The results show that the proposed fuzzy approach is effective in formulating optimum bids for generators
Keywords :
electricity supply industry; fuzzy logic; fuzzy set theory; power generation economics; competitive electricity markets; cost; deregulation; four-generator two-bus system; fuzzy model; generator bidding system; historical market data; load demand; market behaviors; multi-level fuzzy system; optimum bid multipliers; optimum bidding strategies; power dispatch; price; profit; revenue; Costs; Electricity supply industry; Electricity supply industry deregulation; Fuzzy logic; Fuzzy systems; Power generation; Power markets; Power system modeling; Pricing; Supply and demand;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1008919