| Title: |
DEMAND RESPONSE PROGRAM APPLIED FOR ELECTRIC VEHICLE CHARGING IN DISTRIBUTION NETWORKS |
| Author(s): |
LEANDRA DE SOUZA E ALMEIDA
|
| Advisor (s) : |
DELBERIS ARAUJO LIMA
|
| Vocabulary: |
CHARGING OPTIMIZATION
DEMAND RESPONSE
DISTRIBUTION SYSTEM OPERATION
ELECTRIC VEHICLE
NETWORK SENSITIVITY ANALYSIS
|
| Coverage: |
| JURISDICTIONAL - The tariff data are regulated and published by the Agência Nacional de Energia Elétrica (ANEEL), under Brazilian federal legislation. The IEEE 123-bus feeder is a publicly available dataset published for research purposes by the IEEE Power Engineering Society. Vehicle data are obtained from a manufacturer s technical manual, publicly available for consultation by EV users. |
| JURISDICTIONAL - The tariff data are regulated and published by the Agência Nacional de Energia Elétrica (ANEEL), under Brazilian federal legislation. The IEEE 123-bus feeder is a publicly available dataset published for research purposes by the IEEE Power Engineering Society. Vehicle data are obtained from a manufacturer s technical manual, publicly available for consultation by EV users. |
| JURISDICTIONAL - The tariff data are regulated and published by the Agência Nacional de Energia Elétrica (ANEEL), under Brazilian federal legislation. The IEEE 123-bus feeder is a publicly available dataset published for research purposes by the IEEE Power Engineering Society. Vehicle data are obtained from a manufacturer s technical manual, publicly available for consultation by EV users. |
|
| Data Generation Method: |
| COMBINATION OF DIFFERENT DATA - The dataset integrates both raw data from original sources and processed data generated by the authors. It represents a tailored database that supports the simulation, optimization, and validation of the proposed EV charging coordination model. |
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