What time-period aggregation method works best for power system operation models with renewables and storage?

S. Wogrin; D. A. Tejada-Arango; S. Pineda; J. M. Morales

doi:10.1109/SEST.2019.8849027

What time-period aggregation method works best for power system operation models with renewables and storage?

S. Wogrin, D. A. Tejada-Arango, S. Pineda, J. M. Morales

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

In this paper we compare two cutting-edge time-period aggregation methodologies for power system models that consider both renewables and storage technologies: The chronological time-period clustering; and, the enhanced representative period approach. Such methodologies are used in order to reduce the computational burden of highly complex optimization models while not compromising the quality of the results. With this paper, we identify which method works best, and under which conditions, in order to reproduce the outcomes of the hourly benchmark model.

Original language	English
Title of host publication	SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781728111568
DOIs	https://doi.org/10.1109/SEST.2019.8849027
Publication status	Published - Sept 2019
Externally published	Yes
Event	2nd International Conference on Smart Energy Systems and Technologies: SEST 2019 - Porto, Portugal Duration: 9 Sept 2019 → 11 Sept 2019

Publication series

Name	SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies

Conference

Conference	2nd International Conference on Smart Energy Systems and Technologies
Country/Territory	Portugal
City	Porto
Period	9/09/19 → 11/09/19

Keywords

clustering
power system models
time-period aggregation

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SEST.2019.8849027

Cite this

Wogrin, S., Tejada-Arango, D. A., Pineda, S., & Morales, J. M. (2019). What time-period aggregation method works best for power system operation models with renewables and storage? In SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies Article 8849027 (SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SEST.2019.8849027

What time-period aggregation method works best for power system operation models with renewables and storage? / Wogrin, S.; Tejada-Arango, D. A.; Pineda, S. et al.
SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies. Institute of Electrical and Electronics Engineers, 2019. 8849027 (SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Wogrin, S, Tejada-Arango, DA, Pineda, S & Morales, JM 2019, What time-period aggregation method works best for power system operation models with renewables and storage? in SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies., 8849027, SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies, Institute of Electrical and Electronics Engineers, 2nd International Conference on Smart Energy Systems and Technologies, Porto, Portugal, 9/09/19. https://doi.org/10.1109/SEST.2019.8849027

Wogrin S, Tejada-Arango DA, Pineda S, Morales JM. What time-period aggregation method works best for power system operation models with renewables and storage? In SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies. Institute of Electrical and Electronics Engineers. 2019. 8849027. (SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies). doi: 10.1109/SEST.2019.8849027

Wogrin, S. ; Tejada-Arango, D. A. ; Pineda, S. et al. / What time-period aggregation method works best for power system operation models with renewables and storage?. SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies. Institute of Electrical and Electronics Engineers, 2019. (SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies).

@inproceedings{0b660baae33a4be4813361eaeadd32e3,

title = "What time-period aggregation method works best for power system operation models with renewables and storage?",

abstract = "In this paper we compare two cutting-edge time-period aggregation methodologies for power system models that consider both renewables and storage technologies: The chronological time-period clustering; and, the enhanced representative period approach. Such methodologies are used in order to reduce the computational burden of highly complex optimization models while not compromising the quality of the results. With this paper, we identify which method works best, and under which conditions, in order to reproduce the outcomes of the hourly benchmark model.",

keywords = "clustering, power system models, time-period aggregation",

author = "S. Wogrin and Tejada-Arango, {D. A.} and S. Pineda and Morales, {J. M.}",

year = "2019",

month = sep,

doi = "10.1109/SEST.2019.8849027",

language = "English",

series = "SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies",

publisher = "Institute of Electrical and Electronics Engineers",

booktitle = "SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies",

address = "United States",

note = "2nd International Conference on Smart Energy Systems and Technologies : SEST 2019 ; Conference date: 09-09-2019 Through 11-09-2019",