Analysis of voltage profile to determine energy demand using Monte Carlo algorithms and Markov Chains (MCMC)

Edwin M. García, Alexander Águila, Idi Isaac, Jorge W. González, Gabriel López

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

11 Citas (Scopus)

Resumen

At present, energy distribution companies seek to improve service and implement alternatives to determine the capability of distribution system devices that allow to cover electric demand. This paper proposes a stochastic analysis to manage the demand response energy, depending on the voltage curve profiles established by historical measurements. The proposal is based on the stochastic prediction of energetic demand using Monte Carlo algorithms with Markov Chains (MCMC), from the analysis of the voltage profile as a deterministic variable. The analysis is associated with the prediction of the maximum power required to satisfy the peak demand period in distribution systems with predominance of residential load, also seeking the planning of the networks to increase efficiency, quality and reliability of power supply in peak hours, in order to reduce the contingencies in the operation of distribution networks in periods of peak demand, especially in systems where the residential load is predominant, which has been taking considerable growth, due to the insertion of electric cookers.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-6
Número de páginas6
ISBN (versión digital)9781509046508
DOI
EstadoPublicada - 2 jul. 2016
Publicado de forma externa
Evento51st International Universities Power Engineering Conference, UPEC 2016 - Coimbra, Portugal
Duración: 6 sept. 20169 sept. 2016

Serie de la publicación

NombreProceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016
Volumen2017-January

Conferencia

Conferencia51st International Universities Power Engineering Conference, UPEC 2016
País/TerritorioPortugal
CiudadCoimbra
Período6/09/169/09/16

Nota bibliográfica

Publisher Copyright:
© 2016 IEEE.

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