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

Título traducido de la contribución: Análisis del perfil de tensión para determinar la demanda de energía utilizando los algoritmos de Monte Carlo y las cadenas de Markov (MCMC)

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

Resultado de la investigación: Contribución a una conferenciaDocumento

Resumen

© 2016 IEEE. 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.
Título traducido de la contribuciónAnálisis del perfil de tensión para determinar la demanda de energía utilizando los algoritmos de Monte Carlo y las cadenas de Markov (MCMC)
Idioma originalInglés estadounidense
Páginas1-6
Número de páginas6
DOI
EstadoPublicada - 2 jul. 2016
Evento2016 51st International Universities Power Engineering Conference, UPEC 2016 - Coimbra, Portugal
Duración: 6 sep. 20169 sep. 2016

Conferencia

Conferencia2016 51st International Universities Power Engineering Conference, UPEC 2016
Título abreviadoUPEC 2016
País/TerritorioPortugal
CiudadCoimbra
Período6/09/169/09/16

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