Title :
Spinning reserve uncertainty in day-ahead competitive electricity markets for GENCOs
Author_Institution :
Dept. of Power Eng., Yarmouk Univ., Irbid, Jordan
Abstract :
The estimated probability that spinning reserve is called and generated is considered crucial in the formulation of generation scheduling to simulate the spinning reserve uncertainty. Artificial Neural Network (ANN) is applied for forecasting the spinning reserve probability considering line limits, line and generator outages, market prices, bidding strategy, and load and spinning reserve patterns.
Keywords :
neural nets; power engineering computing; power generation economics; power generation scheduling; power markets; probability; GENCO; artificial neural network; bidding strategy; electricity market; generation scheduling; probability estimation; spinning reserve uncertainty; Artificial neural networks; Cost function; Economic forecasting; Electricity supply industry; Job shop scheduling; Load forecasting; Power generation; Power markets; Spinning; Uncertainty;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2004.841150
