Technical-Economical Probabilistic Analysis of a Multi-Source System

Luis Fernando M. MacHado, Silvio Giuseppe Di Santo, Katia Gregio Di Santo, Andre Luiz Veiga Gimenes, Miguel Morales Udaeta, Rodney Itiki, Madhav Manjrekar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The article presents a probabilistic analysis of the dispatch of a multi-source system. It was used the Monte Carlo method to evaluate the voltage and current profiles in the load and the battery, as well as the power factor and transformer loading. Besides, an economic analysis was carried out for each scenario generated, finding the optimal operation cost of the system. The optimal scenario was that which resulted in a decrease of 23.89% in cost operations when compared to the one without battery and generator.

Original languageEnglish
Title of host publication2020 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728145471
DOIs
StatePublished - Oct 12 2020
Externally publishedYes
Event2020 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2020 - Chicago, United States
Duration: Oct 12 2020Oct 15 2020

Publication series

NameProceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
Volume2020-October
ISSN (Print)2160-8555
ISSN (Electronic)2160-8563

Conference

Conference2020 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2020
Country/TerritoryUnited States
CityChicago
Period10/12/2010/15/20

Funding

The authors thanks to the funding provided by the Brazilian utility company CPFL through the strategic project “ANEEL P&D 00063-3025/2016 – Storage Systems integrated to more than one power source: Hybrid Management of Multi-source Energy Systems” and the support of GEPEA (Energy Group of the Department of Electrical Energy and Automation of the University of Sao Paulo). This work was carried out with the support of CNPq (National Council for Scientific and Technological Development) – Brazil.

FundersFunder number
CPFLANEEL P&D 00063-3025/2016
Department of Electrical Energy and Automation of the University of Sao Paulo
GEPEA
Conselho Nacional de Desenvolvimento Científico e Tecnológico

    Keywords

    • Economic Dispatch
    • Monte Carlo
    • Multiple Sources

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