A strategy-proof privacy-preserving double auction mechanism for electrical vehicles demand response in microgrids
| Title | A strategy-proof privacy-preserving double auction mechanism for electrical vehicles demand response in microgrids |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Li, D., Yang, Q., Yu, W., An, D., Yang, X., Zhao, W. |
| Conference Name | 2017 IEEE 36th International Performance Computing and Communications Conference (IPCCC) |
| Date Published | dec |
| Keywords | Computational modeling, Cost accounting, Encryption, Human Behavior, human factors, Load management, privacy, privacy preservation, pubcrawl, resilience, Resiliency, Scalability, Smart Grid Privacy, Smart grids/cyber-physical systems, strategy-proofness, Vehicle-to-grid |
| Abstract | In this paper, we address the problem of demand response of electrical vehicles (EVs) during microgrid outages in the smart grid through the application of Vehicle-to-Grid (V2G) technology. Particularly, we present a novel privacy-preserving double auction scheme. In our auction market, the MicroGrid Center Controller (MGCC) acts as the auctioneer, solving the social welfare maximization problem of matching buyers to sellers, and the cloud is used as a broker between bidders and the auctioneer, protecting privacy through homomorphic encryption. Theoretical analysis is conducted to validate our auction scheme in satisfying the intended economic and privacy properties (e.g., strategy-proofness and k-anonymity). We also evaluate the performance of the proposed scheme to confirm its practical effectiveness. |
| URL | http://ieeexplore.ieee.org/document/8280481/ |
| DOI | 10.1109/PCCC.2017.8280481 |
| Citation Key | li_strategy-proof_2017 |