@article{14027,
  author = {K. Zhang and Y. Mao and Supeng Leng and Sabita Maharjan and Yan Zhang and A. Vinel and Magnus Jonsson},
  title = {Incentive-Driven Energy Trading in the Smart Grid},
  abstract = {The smart grid is widely considered as an efcient and intelligent power system. With the aid of communication technologies, the smart grid can enhance the efciency and reliability of the grid system through intelligent energy management. However, with the development of new energy sources, storage and transmission technologies together with the heterogeneous architecture of the grid network, several new features have been incorporated into the smart grid. These features make the energy trading more complex and pose a signicant challenge on designing efcient trading schemes. Based on this motivation, in this paper, we present a comprehensive review of several typical economic incentive approaches adopted in the energy-trading control mechanisms. We focus on the technologies that address the challenges specic to the new features of the smart grid. Furthermore, we investigate the energy trading in a new cloud-based vehicle-to-vehicle energy exchange scenario. We propose an optimal contract-based electricity trading scheme, which efciently increases the generated profit.},
  year = {2016},
  journal = {IEEE Access},
  volume = {4},
  pages = {1243-1257},
  month = {03/2016},
  publisher = {IEEE},
  issn = {2169-3536},
  doi = {10.1109/ACCESS.2016.2543841},
}