Title :
Building generation supply curves under uncertainty in residual demand curves for the day-ahead electricity market
Author :
Berzal, David ; De la Fuente, José Ignacio ; Gómez, Tomás
Author_Institution :
Instituto de Investigacion Tecnologica, Univ. Pontificia Comillas, Madrid, Spain
Abstract :
The restructuring process that took place in the Spanish electricity market in 1998 has caused the appearance of new procedures and rules, and the implementation of decentralized operation models. Under this new competitive framework, utilities pursue supply strategies to maximize their benefits. This paper proposes a stochastic building model of competitive supply curves under uncertainty, whose objective is to maximize the expected profit of a generation utility in the day-ahead market of a deregulated electrical system. The model contemplates the global strategy of the utility, but also it specifies the bid for each generation unit. At the same time the model has a great flexibility characterizing different market conditions. Firstly, the formulation and the restrictions of the iterative optimization problem are described. Afterwards, a brief review of the model algorithm, based on successive optimizations for different scenarios, is shown. Next the building up procedure of the bidding supply curves is explained. Finally, a case study is presented that allows the validity of the proposed model to be checked
Keywords :
electricity supply industry; iterative methods; load forecasting; optimisation; stochastic processes; Spanish electricity market restructuring; bidding supply curves; competitive supply curves; day-ahead electricity market; decentralized operation models; deregulated electrical system; generation unit bidding; global strategy; iterative optimization restrictions; market conditions; residual demand curves; stochastic building model; stochastic optimization; successive optimizations; uncertainty; Electricity supply industry; Environmental economics; Iterative algorithms; Oligopoly; Power generation; Power generation economics; Power system economics; Power system modeling; Stochastic systems; Uncertainty;
Conference_Titel :
Power Tech Proceedings, 2001 IEEE Porto
Conference_Location :
Porto
Print_ISBN :
0-7803-7139-9
DOI :
10.1109/PTC.2001.964623