Fair Demand Response With Electric Vehicles for the Cloud Based Energy Management Service

Fluctuated penetration of electric vehicle (EV) loads and production capacities from distributed energy resource (DER) bring large impacts to power systems. To smooth fluctuations, financial incentives have to be maximized for customers controlling their consumption patterns. A fair demand response...

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Bibliographic Details
Published inIEEE transactions on smart grid Vol. 9; no. 1; pp. 458 - 468
Main Authors Yu-Wen Chen, Chang, J. Morris
Format Journal Article
LanguageEnglish
Published IEEE 01.01.2018
Subjects
cloud based
demand response
Density estimation robust algorithm
distributed energy resource
electric vehicle
Electric vehicles
EMaaS
energy management
Energy storage
Fairness
fluctuation
Load management
Power grids
Production
scheduling
smart grid
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Summary:Fluctuated penetration of electric vehicle (EV) loads and production capacities from distributed energy resource (DER) bring large impacts to power systems. To smooth fluctuations, financial incentives have to be maximized for customers controlling their consumption patterns. A fair demand response with electric vehicles (F-DREVs) is proposed for the cloud-based energy management service. Customers with EV, DER, storage and multiple loads form communities and obtain optimal choices (electricity usage and trading) from F-DREV. F-DREV aims to maximize incentives by minimizing global cost for each community within the given time period, and smooth fluctuations. In order to attract customers to actively participate, we propose the fairness as "customers with higher participation level can reduce their individual cost more than those with lower participation level within the same community," which is attainable by customizing trading prices. A binary linear programming model is formulated, and performances are evaluated in experiments.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2016.2609738