Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-29798
Publication type: Conference paper
Type of review: Peer review (publication)
Title: A geographic information system application to estimate the weather-dependent power system losses
Authors: Villarreal Chaires, Karen A.
Barocio, Emilio
Del Puerto Flores, Dunstano
Segundo Sevilla, Felix Rafael
Korba, Petr
et. al: No
DOI: 10.1109/ROPEC53248.2021.9668064
10.21256/zhaw-29798
Proceedings: 2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)
Volume(Issue): 5
Conference details: IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), Ixtapa, México, 10-12 November 2021
Issue Date: 2021
Publisher / Ed. Institution: IEEE
ISBN: 978-1-6654-3427-0
Language: English
Subjects: Weather effect; Visualization tool; Weather-depend power flow solution; Open weather collection system
Subject (DDC): 621.3: Electrical, communications, control engineering
Abstract: The accuracy of weather-dependent power flow analysis for large interconnected systems can be significantly improved by including more electrical devices exposed to weather variables such as ambient temperature, wind speed and solar irradiance. The innovative part of the proposed approach is the combination of factors such as a voltage regulating transformer model, freely available weather data to feed the weather dependent power flow algorithm, and a geographic visualization tool to display the results. To demonstrate the effectiveness of the proposed approach, the IEEE 118-bus system is used to analyze and compare the results of the weather-dependent power flow model versus a conventional power flow. In this case, it is used in the stationary analysis, the power flow temperature algorithms are performed in spatial visualization schemes. The results show that weather conditions directly affect the power system performance.
URI: https://digitalcollection.zhaw.ch/handle/11475/29798
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Energy Systems and Fluid Engineering (IEFE)
Appears in collections:Publikationen School of Engineering

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Villarreal Chaires, K. A., Barocio, E., Del Puerto Flores, D., Segundo Sevilla, F. R., & Korba, P. (2021). A geographic information system application to estimate the weather-dependent power system losses [Conference paper]. 2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), 5. https://doi.org/10.1109/ROPEC53248.2021.9668064
Villarreal Chaires, K.A. et al. (2021) ‘A geographic information system application to estimate the weather-dependent power system losses’, in 2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). IEEE. Available at: https://doi.org/10.1109/ROPEC53248.2021.9668064.
K. A. Villarreal Chaires, E. Barocio, D. Del Puerto Flores, F. R. Segundo Sevilla, and P. Korba, “A geographic information system application to estimate the weather-dependent power system losses,” in 2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), 2021, vol. 5. doi: 10.1109/ROPEC53248.2021.9668064.
VILLARREAL CHAIRES, Karen A., Emilio BAROCIO, Dunstano DEL PUERTO FLORES, Felix Rafael SEGUNDO SEVILLA und Petr KORBA, 2021. A geographic information system application to estimate the weather-dependent power system losses. In: 2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). Conference paper. IEEE. 2021. ISBN 978-1-6654-3427-0
Villarreal Chaires, Karen A., Emilio Barocio, Dunstano Del Puerto Flores, Felix Rafael Segundo Sevilla, and Petr Korba. 2021. “A Geographic Information System Application to Estimate the Weather-Dependent Power System Losses.” Conference paper. In 2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). Vol. 5. IEEE. https://doi.org/10.1109/ROPEC53248.2021.9668064.
Villarreal Chaires, Karen A., et al. “A Geographic Information System Application to Estimate the Weather-Dependent Power System Losses.” 2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), vol. 5, IEEE, 2021, https://doi.org/10.1109/ROPEC53248.2021.9668064.


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