DocumentCode :
3220240
Title :
A simulation tool for short term electricity markets
Author :
Martini, A. ; Pelacchi, P. ; Pellegrini, L. ; Cazzol, M.V. ; Garzillo, A. ; Innorta, M.
Author_Institution :
Dept. of Electr. Syst. & Autom., Pisa Univ., Italy
fYear :
2001
fDate :
2001
Firstpage :
112
Lastpage :
117
Abstract :
In a competitive electricity market, generating companies (GENCOs) have to sell their output by presenting bids on the market. A pure operating costs optimization will not be enough as bidding strategies definition requires GENCO to consider other factors such as market structure and its interrelationships, demand forecast level and competitor behavior. Hourly supply curves are the final output of an operation planning decision support model, which is hierarchically articulated in long, medium and short-term components. This paper presents DESPOT (decision-support simulator for power trading), a short-term wholesale electricity market simulation tool that provides unit commitment, system hourly prices, profit and expected bid for a GENCO. The model provides a detailed Italian generation system representation and a market structure based on the rules established by the Italian decree 79/99, which has introduced competition in Italy. A simplified version of the global model is presented and results of the simulations are also provided. Notwithstanding the generation capacity reduction of the dominant GENCO imposed by the Italian law, preliminary results seem to show that the market power of the generation companies is still considerable and this might strongly influence; the energy prices
Keywords :
digital simulation; electricity supply industry; power generation scheduling; power system economics; power system simulation; software packages; DESPOT simulation tool; Italian decree 79/99; Italian electricity-market; Italian generation system representation; bidding strategies; competitive electricity market; competitor behavior; decision-support simulator for power trading; demand forecast level; dynamic programming; expected bid; generating companies; generation capacity reduction; hourly supply curves; hydro-thermal scheduling; market structure; operation planning decision support model; power system management; profit; quadratic programming; short term electricity markets; short-term components; short-term wholesale electricity market simulation tool; system hourly prices; unit commitment; Automation; Cost function; Economic forecasting; Electricity supply industry; Electricity supply industry deregulation; Job shop scheduling; Power generation; Power markets; Power system modeling; Power system simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Industry Computer Applications, 2001. PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6681-6
Type :
conf
DOI :
10.1109/PICA.2001.932331
Filename :
932331
Link To Document :
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