Aggregation and scheduling methods of electric vehicle agents divided by regions

With the development of electric vehicle technology for the past few years, the penetration rate of electric vehicle has been increasing year by year. The load of electric vehicle has a lot of influence on the power grid. Therefore, it is necessary to take reasonable means to scheduling the charging...

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Bibliographic Details
Published in2016 3rd International Conference on Systems and Informatics (ICSAI) pp. 208 - 216
Main Authors Hu Haibo, Gao Ciwei, Shi Xuemei, Liu Yao, Li Dezhi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2016
Subjects
aggregation
ancillary service
Discharges (electric)
Dynamic scheduling
electric vehicle agent
Electric vehicles
Load modeling
Optimal scheduling
peak load shifting
Power systems
Real-time systems
scheduling
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DOI10.1109/ICSAI.2016.7810956

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Summary:With the development of electric vehicle technology for the past few years, the penetration rate of electric vehicle has been increasing year by year. The load of electric vehicle has a lot of influence on the power grid. Therefore, it is necessary to take reasonable means to scheduling the charging and discharging behavior of electric vehicle in order to provide ancillary service, which can improve the safety and economical efficiency of system operation. To make the interaction between electric vehicle agent and electric vehicle, system scheduling department and the agents come true, this article proposed an aggregation method of electric vehicle agents divided by regions as well as the scheduling method. The emulation shows that the aggregation model considers the benefit of electric vehicle agents and electric vehicle owners which lays a foundation for reasonable scheduling methods.
DOI:10.1109/ICSAI.2016.7810956