Efficient use of generator resources in emerging electricity markets

Author

Flynn, Meadhhh E. ; Walsh, Michael P. ; O´Malley, Mark J.

Author_Institution

Dept. of Electron. & Electr. Eng., Univ. Coll. Dublin, Ireland

Volume

15

Issue

1

fYear

2000

fDate

2/1/2000 12:00:00 AM

Firstpage

241

Lastpage

249

Abstract

In the emerging electricity market, generators sell ancillary services as well as energy to the system operator. Pricing of ancillary services makes the scheduling of units more difficult due to the resulting unit cost curves. The new climate will encourage generators to exploit the flexibility of their units in terms of operating modes. This paper uses the augmented Hopfield neural network to deal with ancillary service prices, specifically reserve and ramping prices, submitted by generators and to schedule units with a choice of operating modes

Keywords

Hopfield neural nets; costing; electricity supply industry; energy resources; power generation economics; power generation scheduling; tariffs; ancillary services pricing; augmented Hopfield neural network; efficient generator resources use; emerging electricity markets; operating modes; ramping prices; reserve prices; unit cost curves; unit scheduling; Costs; Electricity supply industry; Helium; Hopfield neural networks; ISO; Job shop scheduling; Power generation; Power generation economics; Power markets; Pricing;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.852128

Filename

852128