Scipediacontent: Scipediacontent moved page Draft Content 564589844 to Li et al 2017i

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Scipediacontent moved page Draft Content 564589844 to Li et al 2017i

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== Abstract ==

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.

== Original document ==

The different versions of the original document can be found in:

* [http://juuli.fi/Record/0285189417 http://juuli.fi/Record/0285189417],
: [http://dx.doi.org/10.1109/MNET.2017.1600220NM http://dx.doi.org/10.1109/MNET.2017.1600220NM]

* [http://xplorestaging.ieee.org/ielx7/65/7884933/07884947.pdf?arnumber=7884947 http://xplorestaging.ieee.org/ielx7/65/7884933/07884947.pdf?arnumber=7884947],
: [http://dx.doi.org/10.1109/mnet.2017.1600220nm http://dx.doi.org/10.1109/mnet.2017.1600220nm]

* [https://dblp.uni-trier.de/db/journals/network/network31.html#ZhouSSCZL17 https://dblp.uni-trier.de/db/journals/network/network31.html#ZhouSSCZL17],
: [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7884947 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7884947],
: [https://doi.org/10.1109/MNET.2017.1600220NM https://doi.org/10.1109/MNET.2017.1600220NM],
: [http://ieeexplore.ieee.org/document/7884947 http://ieeexplore.ieee.org/document/7884947],
: [https://academic.microsoft.com/#/detail/2602113696 https://academic.microsoft.com/#/detail/2602113696]

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Li et al 2017i - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 564589844 to Li et al 2017i

Scipediacontent: Created page with " == Abstract == The uncertainties brought by intermittent renewable generation and uncoordinated charging behaviors of EVs pose great challenges to the reliable operation of..."