Generation Expansion Models including Technical Constraints and Demand Uncertainty
Joint Authors
Deossa, P.
De Vos, K.
Deconinck, G.
Oviedo, Jairo José Espinosa
Source
Journal of Applied Mathematics
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-06
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This article presents a Generation Expansion Model of the power system taking into account the operational constraints and the uncertainty of long-term electricity demand projections.
The model is based on a discretization of the load duration curve and explicitly considers that power plant ramping capabilities must meet demand variations.
A model predictive control method is used to improve the long-term planning decisions while considering the uncertainty of demand projections.
The model presented in this paper allows integrating technical constraints and uncertainty in the simulations, improving the accuracy of the results, while maintaining feasible computational time.
Results are tested over three scenarios based on load data of an energy retailer in Colombia.
American Psychological Association (APA)
Deossa, P.& De Vos, K.& Deconinck, G.& Oviedo, Jairo José Espinosa. 2017. Generation Expansion Models including Technical Constraints and Demand Uncertainty. Journal of Applied Mathematics،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1169959
Modern Language Association (MLA)
Deossa, P.…[et al.]. Generation Expansion Models including Technical Constraints and Demand Uncertainty. Journal of Applied Mathematics No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1169959
American Medical Association (AMA)
Deossa, P.& De Vos, K.& Deconinck, G.& Oviedo, Jairo José Espinosa. Generation Expansion Models including Technical Constraints and Demand Uncertainty. Journal of Applied Mathematics. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1169959
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169959