TY - GEN
T1 - A secure and efficient renewable energy trading scheme based on blockchain in smart grid
AU - Lu, Xin
AU - Guan, Zhitao
AU - Zhou, Xiao
AU - Du, Xiaojiang
AU - Wu, Longfei
AU - Guizani, Mohsen
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Nowadays, with the diversification and decentralization of energy systems, the energy Internet makes it possible to interconnect distributed energy sources and consumers. In the energy trading market, the traditional centralized model relies entirely on trusted third parties. However, as the number of entities involved in the transactions grows and the forms of transactions diversify, the centralized model gradually exposes problems such as insufficient scalability, High energy consumption, and low processing efficiency. To address these challenges, we propose a secure and efficient energy renewable trading scheme based on blockchain. In our scheme, the electricity market trading model is divided into two levels, which can not only protect the privacy, but also achieve a green computing. In addition, in order to adapt to the relatively weak computing power of the underlying equipment in smart grid, we design a credibility-based equity proof mechanism to greatly improve the system availability. Compared with other similar distributed energy trading schemes, we prove the advantages of our scheme in terms of high operational efficiency and low computational overhead through experimental evaluations. Additionally, we conduct a detailed security analysis to demonstrate that our solution meets the security requirements.
AB - Nowadays, with the diversification and decentralization of energy systems, the energy Internet makes it possible to interconnect distributed energy sources and consumers. In the energy trading market, the traditional centralized model relies entirely on trusted third parties. However, as the number of entities involved in the transactions grows and the forms of transactions diversify, the centralized model gradually exposes problems such as insufficient scalability, High energy consumption, and low processing efficiency. To address these challenges, we propose a secure and efficient energy renewable trading scheme based on blockchain. In our scheme, the electricity market trading model is divided into two levels, which can not only protect the privacy, but also achieve a green computing. In addition, in order to adapt to the relatively weak computing power of the underlying equipment in smart grid, we design a credibility-based equity proof mechanism to greatly improve the system availability. Compared with other similar distributed energy trading schemes, we prove the advantages of our scheme in terms of high operational efficiency and low computational overhead through experimental evaluations. Additionally, we conduct a detailed security analysis to demonstrate that our solution meets the security requirements.
KW - blockchain
KW - distributed energy trading
KW - privacy protection
KW - smart grid
UR - http://www.scopus.com/inward/record.url?scp=85073526615&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073526615&partnerID=8YFLogxK
U2 - 10.1109/HPCC/SmartCity/DSS.2019.00253
DO - 10.1109/HPCC/SmartCity/DSS.2019.00253
M3 - Conference contribution
AN - SCOPUS:85073526615
T3 - Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019
SP - 1839
EP - 1844
BT - Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019
A2 - Xiao, Zheng
A2 - Yang, Laurence T.
A2 - Balaji, Pavan
A2 - Li, Tao
A2 - Li, Keqin
A2 - Zomaya, Albert
T2 - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019
Y2 - 10 August 2019 through 12 August 2019
ER -