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Mathematical Problems in Engineering
Volume 2018, Article ID 3810492, 13 pages
https://doi.org/10.1155/2018/3810492
Research Article

Joint Scheduling Optimization of Virtual Power Plants and Equitable Profit Distribution Using Shapely Value Theory

1North China Electric Power University, Beijing 102206, China
2Yan’an University, Bao’an, Yan’an, Shanxi 716000, China
3Academy of Chinese Energy Strategy, China University of Petroleum-Beijing, 18 Fuxue Road, Changping, Beijing 102249, China
4Beijing Energy Development Research Base, North China Electric Power University, Changping, Beijing 102206, China

Correspondence should be addressed to Huan-huan Li; moc.qq@470398249

Received 23 March 2017; Revised 29 November 2017; Accepted 16 January 2018; Published 25 February 2018

Academic Editor: Thomas Hanne

Copyright © 2018 Zhong-fu Tan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Zhong-fu Tan, Huan-huan Li, Li-wei Ju, and Qing-kun Tan, “Joint Scheduling Optimization of Virtual Power Plants and Equitable Profit Distribution Using Shapely Value Theory,” Mathematical Problems in Engineering, vol. 2018, Article ID 3810492, 13 pages, 2018. https://doi.org/10.1155/2018/3810492.