A simulation tool for short term electricity markets

被引:14
作者
Martini, A [1 ]
Pelacchi, P [1 ]
Pellegrini, L [1 ]
Cazzol, MV [1 ]
Garzillo, A [1 ]
Innorta, M [1 ]
机构
[1] Univ Pisa, Dept Elect Syst & Automat, Pisa, Italy
来源
PICA 2001: 22ND IEEE POWER ENGINEERING SOCIETY INTERNATIONAL CONFERENCE ON POWER INDUSTRY COMPUTER APPLICATIONS | 2001年
关键词
deregulation; Italian electricity market; power system management; hydro-thermal scheduling; simulation; quadratic programming; dynamic programming;
D O I
10.1109/PICA.2001.932331
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 [电气工程]; 0809 [电子科学与技术];
摘要
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.
引用
收藏
页码:112 / 117
页数:6
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