Fuzzy demand estimation as basis of an assistant tool for a strategic load management of PHEV

Raimundo Cordeiro; João O.P. Pinto; Ruben B. Godoy; Walter I. Suemitsu; Pedro Eugênio M.J. Ribeiro; Sérgio C. Cerchiari

doi:10.1007/s40313-013-0066-6

Fuzzy demand estimation as basis of an assistant tool for a strategic load management of PHEV

Raimundo Cordeiro, João O.P. Pinto, Ruben B. Godoy, Walter I. Suemitsu, Pedro Eugênio M.J. Ribeiro, Sérgio C. Cerchiari

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Demand management of Plug-in Hybrid Electrical Vehicles (PHEV) is an important requirement for the reduction of greenhouse gases and better use of the energy sources. Smart grids can control the power demand of PHEV, based on the knowledge of the demand curves. However, this information is not always known by PHEV owners or charging stations due to loss of data or due to the charging is done in cities with conventional power grids. These problems can increase the peak demand and makes dynamic pricing more difficult to implement. This paper proposes the use of fuzzy demands estimations to reduce the impact of these problems. This estimator is the basis of assistant software applications for PHEVusers and charging stations to get more information for a best load management for PHEV. Results demonstrate the advantage of this proposal in the demand management for PHEV.

Original language	English
Pages (from-to)	843-853
Number of pages	11
Journal	Journal of Control, Automation and Electrical Systems
Volume	24
Issue number	6
DOIs	https://doi.org/10.1007/s40313-013-0066-6
State	Published - Dec 2013
Externally published	Yes

Funding

Acknowledgments Authors want to thanks CNPq—Brazil and Ener-sul for the support to his research.

Funders	Funder number
CNPq—Brazil and Ener-sul

Keywords

Demand estimation
Fuzzy estimation
PHEV load management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s40313-013-0066-6

Cite this

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title = "Fuzzy demand estimation as basis of an assistant tool for a strategic load management of PHEV",

abstract = "Demand management of Plug-in Hybrid Electrical Vehicles (PHEV) is an important requirement for the reduction of greenhouse gases and better use of the energy sources. Smart grids can control the power demand of PHEV, based on the knowledge of the demand curves. However, this information is not always known by PHEV owners or charging stations due to loss of data or due to the charging is done in cities with conventional power grids. These problems can increase the peak demand and makes dynamic pricing more difficult to implement. This paper proposes the use of fuzzy demands estimations to reduce the impact of these problems. This estimator is the basis of assistant software applications for PHEVusers and charging stations to get more information for a best load management for PHEV. Results demonstrate the advantage of this proposal in the demand management for PHEV.",

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AU - Cordeiro, Raimundo

AU - Pinto, João O.P.

AU - Godoy, Ruben B.

AU - Suemitsu, Walter I.

AU - Ribeiro, Pedro Eugênio M.J.

AU - Cerchiari, Sérgio C.

PY - 2013/12

Y1 - 2013/12

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AB - Demand management of Plug-in Hybrid Electrical Vehicles (PHEV) is an important requirement for the reduction of greenhouse gases and better use of the energy sources. Smart grids can control the power demand of PHEV, based on the knowledge of the demand curves. However, this information is not always known by PHEV owners or charging stations due to loss of data or due to the charging is done in cities with conventional power grids. These problems can increase the peak demand and makes dynamic pricing more difficult to implement. This paper proposes the use of fuzzy demands estimations to reduce the impact of these problems. This estimator is the basis of assistant software applications for PHEVusers and charging stations to get more information for a best load management for PHEV. Results demonstrate the advantage of this proposal in the demand management for PHEV.

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Fuzzy demand estimation as basis of an assistant tool for a strategic load management of PHEV

Abstract

Funding

Keywords

UN SDGs

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