Dispatch capacity forecasting of distributed energy resources for load peak shaving

dc.contributor.advisorCastillo Guerra, Eduardo
dc.contributor.advisorCardenas Barrera, Julian
dc.contributor.authorMendoza Miranda, Manuel Arturo
dc.date.accessioned2023-09-06T17:41:14Z
dc.date.available2023-09-06T17:41:14Z
dc.date.issued2022-04
dc.description.abstractThe progress of the electric power grid to a decentralized and ‘smart’ system has enabled the participation of distributed energy resources (DERs) to provide peak load shaving and ancillary services. This thesis focuses on a probabilistic dispatch capacity forecast of aggregated DERs, with models that allow the simulation of individual loads and the estimation of their potential load shifting capacity during peak hours, while tracking customer comfort. As part of the forecasting method, this work proposes a scheme for aggregated DER control that consists of a modified direct load control strategy and a modified advanced demand response control schedule. The simulation results show the potential of the proposed approach to increase the dispatchable capacity during peak hours in aggregations of the DERs considered, while maintaining customer comfort.
dc.description.copyright©Manuel Arturo Mendoza Miranda, 2022
dc.format.extentxiii, 74
dc.format.mediumelectronic
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/37343
dc.language.isoen
dc.publisherUniversity of New Brunswick
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineElectrical and Computer Engineering
dc.titleDispatch capacity forecasting of distributed energy resources for load peak shaving
dc.typemaster thesis
oaire.license.conditionother
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.Sc.

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