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Background
The Campus Energy Trading System is based on our AEBiS project. Our latest work focuses on the expansion & upgrade of its security part, involving both software and hardware platform. For the software part, we will take advantage of the existing function and UI of battery charge prediction, which is based on conventional local training and federated learning schemes in Python. For the hardware part, to develop the AI-Enabled secure system, our research is based on the existing AI-chip inference model.
Based on their type, the information in the trading system could be divided into: the status & parameters of EVs, detail of demand and price, and orders and confirmation; Based on the direction of information flow, mainly two parts are within the control of the campus system: with EV and with energy exchange. Different encryption methods shall be taken according to the data's features and importance. For the important trading confirmation and order we plan to take private or hybrid blockchain as protection.
Motivation
To cut down carbon emissions and build a sustainable society, the concept of smart grid and VPP has been introduced as a reform of the conventional power grid. An internet-connected smart grid is emerging as an innovative approach to efficiently integrate green technologies and renewable energy. So we plan to design an internet-connected smart grid for campus-sharing electric vehicles. To begin with, we identify the significant security challenges of smart grid scenarios that can be addressed by internal and external factors. Meanwhile, blockchain turns out to be an immutable type of distributed ledger that is capable of storing data without relying on any third party, whose application in smart grids for cybersecurity attracted significant interest in research areas. So we shall also conduct a specific survey on blockchain paradigm for cybersecurity in a smart grid.
| Date | Task |
| ☑️Mar 11 - Mar 31,2021 | Figure out the mechanism of conventional power market |
| ☑️Apr 1st - Apr 21,2021 | Expand the proposed market system to more scenarios |
| ☑️Apr 22 - Apr 30, 2021 | |
| ☑️May 1st - May 10, 2021 | Design secure (mainly Blockchain part) working mechanism & logic of trading system in campus |
| ☑️May 10 - May 30, 2021 | Discuss & optimize the planned BC parts |
| ☑️May 31 - Jun 14, 2021 | Propose Blockchain channels within campus for energy bidding & mechanism for EV selection |
| ☑️Jun 15 - Jun 23, 2021 | Create dataset & Requests Selection algorithm |
| ☑️Jun 24 - Jul 5, 2021 | Conduct simulation experiment for request selection & energy trading system |
| ☑️Jul 6 - Jul 17, 2021 | Research on the existing tools & application of consortium blockchain |
| ☑️Jul 18 - Jul 27, 2021 | Propose applications of consortium blockchain in planned security scenarios |
| ☑️ Jul 28 - Oct 15, 2021 | |
| ☑️ Oct 16 - Dec 31, 2021 | Deploy consortium BC on energy trading by Hyperledger Fabric 2.3 with shell |
| ☑️ Jan 1st - Jan 20, 2022 | Set valuation goals for the BC part and make related adjustments |
| ☑️ Jan 21 - Mar 21, 2022 | Transform the Python algorithm with Golang into chaincode to apply the Fabric |
| ☑️Mar 22 - Apr 20, 2022 | Refine the abstract and introduction |
| ☑️Apr 21 - May 24, 2022 | Finish and submit a conference paper |
| ☑️May 25 - Jun 3, 2022 | Apply the trading algorithm of patent to our system. |
| ☑️Jun 4 - July 12, 2022 | To discuss the system with other works. |
| ☑️2022/7/13-2022/8/27 | Work on the trading system for security risk scenarios and add a new part to discuss about the security story. |
| ☑️2022/8/28-2022/11/29 | Finish the Journal draft and proofread. |
| ☑️2022/11/30-2022/12/30 | Modify the draft and make points for the next one. |
| ☑️2022/12/31-2023/2/19 | Design the multi-V2GNet system in generalized topology scenarios. |
| ☑️2023/2/20-2023/6/30 | Optimize the Energy Trading Algorithms & Experiments for distributed scenarios. |
| 2023/7/1-2023/7/30 | Working on the paper draft, finishing second Jnl. |
| 2023/7/31-2023/8/27 | Finish draft of Doctoral Dissertation. |
| Date | Task |
| Sep 25, 2023 | Submission of the documents for the Doctoral Dissertation Preliminary Review |
| Oct, 2023 | Doctoral dissertation Preliminary Review |
| Dec, 2023 | Submission of the documents for the Doctoral Dissertation final Review |
| Jan, 2024 | Doctoral Dissertation Final Review |
| Jan, 2024 | Submission of the final review report |
| Feb, 2024 | Submission of the materials for the presentation |
| Feb, 2024 | Submission of finalized Dissertations and their abstracts |
| Feb, 2024 | Submission of the Abstracts of the Results Regarding the Final Doctoral Dissertation Review / Consent to Use of Academic Paper / Repository Registration Request Form |
| Feb, 2024 | Submission of the Application Form for the Academic Degree |
