Short-term management of hydro-power systems based on uncertainty model in electricity markets
AbstractThere are several methods for generating scenarios in stochastic programming. With extensive historical datarecords, one possibility is to represent the probability distribution of the uncertain data using a statistical modelsuitable for sampling. This method is especially useful for handling uncertain data that develops over time bymeans of time series analysis. In this paper a time series model relevant to the short-term management of hydropowersystems is proposed. This further illustrates the abilities of the models to capture developments in uncertaindata over time. To demonstrate the validity of this model, results from the Nordic power exchange—Nord Pool—anda Norwegian power plant are presented.
How to Cite
GHADIMI, Noradin; HOSSEINI FIROUZ, Mansour. Short-term management of hydro-power systems based on uncertainty model in electricity markets. Journal of Power Technologies, [S.l.], v. 95, n. 4, p. 265--272, dec. 2015. ISSN 2083-4195. Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/731>. Date accessed: 26 july 2021.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).