Abstract | ||
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In recent years, the vehicle-to-grid (V2G) system, which utilizes electric vehicles (EVs) to provide ancillary services for power grid, draws a lot of interests in smart grid research community. When considering a large number of EVs distributed in different geographical locations, how to coordinate these EVs to provide ancillary services becomes a critical issue. In this paper, a generic hierarchical framework for V2G system to provide frequency regulation services is proposed to address this issue. A practical multi-level online V2G algorithm is proposed for the hierarchical V2G scheduling and it requires no forecasting information for regulation signals. We test our proposed algorithm in the simulation of a four-level hierarchical V2G system. The results show that the proposed algorithm has advantages over the existing methods on smoothing out the real-time power fluctuations. |
Year | Venue | Field |
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2017 | IEEE Global Communications Conference | Smart grid,Computer science,Scheduling (computing),Frequency regulation,Real-time computing,Power grid,Automatic frequency control,Smoothing,Vehicle-to-grid |
DocType | ISSN | Citations |
Conference | 2334-0983 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiangyu Chen | 1 | 26 | 7.46 |
Ka-Cheong Leung | 2 | 318 | 35.54 |
Albert Y. S. Lam | 3 | 634 | 43.65 |
D. J. Hill | 4 | 565 | 62.45 |