A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Robust Energy Scheduling in Vehicle-to-Grid Networks (2017)

Zhou, Z., Sun, C., Shi, R., Chang, Z., Zhou, S., & Li, Y. (2017). Robust Energy Scheduling in Vehicle-to-Grid Networks. IEEE Network, 31(2), 30-37. https://doi.org/10.1109/MNET.2017.1600220NM

JYU-tekijät tai -toimittajat

Chang, Zheng

Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Zhou, Zhenyu; Sun, Changhao; Shi, Ruifeng; Chang, Zheng; Zhou, Sheng; Li, Yang

Lehti tai sarja: IEEE Network

ISSN: 0890-8044

eISSN: 1558-156X

Julkaisuvuosi: 2017

Volyymi: 31

Lehden numero: 2

Artikkelin sivunumerot: 30-37

Kustantaja: Institute of Electrical and Electronics Engineers

Julkaisumaa: Yhdysvallat (USA)

Julkaisun kieli: englanti

DOI: https://doi.org/10.1109/MNET.2017.1600220NM

Julkaisun avoin saatavuus: Ei avoin

Julkaisukanavan avoin saatavuus:

Tiivistelmä

The uncertainties brought by intermittent renewable generation and uncoordinated charging behaviors of EVs pose great challenges to the reliable operation of power systems, which motivates us to explore the integration of robust optimization with energy scheduling in V2G networks. In this article, we first introduce V2G robust energy scheduling problems and review the stateof- the art contributions from the perspectives of renewable energy integration, ancillary service provision, and proactive demand-side participation in the electricity market. Second, for each category of V2G applications, the corresponding problem formulations, robust solution concepts, and design approaches are described in detail based on the characteristics of problem structures and uncertainty sets. Then, an adjustable robust energy scheduling solution is proposed to address the over-conservatism problem by exploring chance-constrained methods. Results demonstrate that the proposed algorithm not only can efficiently shift the peak load and reduce the total operation cost, but also provide great flexibility in adjusting the trade-off between economic performance and reliable operation. Finally, we present key research challenges and opportunities.

YSO-asiasanat: sähköajoneuvot

Vapaat asiasanat: smart electrical grids; vehicle-to-grid; scheduling

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