An Iterative Two-Layer Optimization Charging and Discharging Trading Scheme for Electric Vehicle Using Consortium Blockchain
| Autor: | Baiji Hu, Yuancheng Li |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Mathematical optimization
Security analysis business.product_category General Computer Science Computer science Power load business.industry media_common.quotation_subject 020208 electrical & electronic engineering Two layer 020206 networking & telecommunications 02 engineering and technology Inertia Scheduling (computing) Smart grid Electric vehicle 0202 electrical engineering electronic engineering information engineering Electricity business media_common |
| Zdroj: | IEEE Transactions on Smart Grid. 11:2627-2637 |
| ISSN: | 1949-3061 1949-3053 |
| DOI: | 10.1109/tsg.2019.2958971 |
| Popis: | This paper introduces the concept of hierarchical and zonal scheduling and proposes an iterative two-layer model to optimize the charging and discharging trading of electric vehicles (EVs), so as to minimize the overall load variance of the distribution network under the constraints of power flow and vehicle travel demand. In order to solve the mixed-integer programming (MIP) problem that exists in this model, an improved heuristic algorithm, the adaptive inertia weight krill herd (KH) algorithm is proposed. In addition, we design a decentralized trading architecture and related electricity trading process based on the consortium blockchain to ensure the security and privacy of two-way electricity trading between EVs and the smart grid. The IEEE nodes based simulation experiment shows that our scheme can effectively smooth power load fluctuations, and the improved KH algorithm can effectively improve the efficiency of model solving. Security analysis qualitatively proves that our scheme can ensure the security and privacy-preserving of electricity trading. Finally, our scheme is implemented in the Hyperledger Fabric to evaluate the feasibility and effectiveness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|