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

Mathematics

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