Decision making in a competitive power system market
By: Claudia Patricia Rodríguez.
Published: 2004
Language: eng
Number of pages: 86
Description: This thesis presents a methodology to design optimal bidding curves for a generator according to his/her degree of risk aversion based on a given forecasted market-clearing price and the expected system demand. This methodology is then applied to a typical thermal plant that is assumed to be located in the Ontario electricity system and own by one of the following types of participants: Risk Averse or Risk Seeker.Since the forecasted market-clearing price is a relevant variable to find optimal bidding curves, and the methodology to obtain this price is still a research area, this thesis also introduces a method for forecasting energy prices using artificial intelligence methods such as neural networks, fuzzy logic and a combination of both. This new approach is compared with some of the existing methods. Additionally, various factors affecting the market-clearing price are investigated and results for the Ontario electricity market are presented.
Notes: Advisers:  Reza Iravani; George Anders.

Thesis (Ph.D.)--University of Toronto, 2004.

Electronic version licensed for access by U. of T. users.

Source: Dissertation Abstracts International, Volume: 65-10, Section: B, page: 5318.