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Background
The Campus Energy Trading System is based on our AEBiS project. Our latest work focus on the expansion & upgrade of its security part, involving both software and hardware platform. For 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 hardware part, to develop the AI-Enabled secure system, our research base on existing AI-chip inference model.
Base on their type, the information in trading system could be divided into: status & parameters of EVs, detail of demand and price, orders and confirmation; base on the direction of information flow, mainly two parts are within control of the campus system: with EV and with energy exchange. Different encryption methods shall be taken according to data's feature and importance. Of the important trading confirmation and order we plan to take private or hybrid blockchain as protection.
Motivaiton
To cut down carbon emissions and build sustainable society, the concept of smart grid and VPP has been introduced as reform of conventional power grid. And internet-connected smart grid is emerging as an innovative approach to efficiently integrate green technologies and renewable energy. So we plan to design a 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 turn 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 grid 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 of trading system in campus |
| ☑️May 10 - May 30, 2021 | Discuss & optimize the planned BC parts |
| ☑️May 31 - Jun 14, 2021 | Propose Blockchain within campus for energy bidding & mechanism for EV selection |
| Jun 15 - Jun 25, 2021 | Implement the Requests Selection in Campus System |
| Jun 26 - Jun 29, 2021 | Conduct simulation experiment for request selection & energy trading system |
| Jun 30 - Jul 8, 2021 | Research on the application of blockchain on the energy trading system |
| Jul 9 - Jul 20, 2021 | Propose applications of blockchain in several security scenarios |
| Jul 21 - Aug 5, 2021 | |
| Aug 1st - Sep 31, 2021 | Draft a journal paper on the ground of the preliminary work and submit |
| Sep 1st - Oct 20, 2021 | Implement & optimize planned system hardware part with AI-chip |
| Oct 21 - Nov 11, 2021 | Optimize the algorithm for system scalability |
| Nov 12 - Nov 30, 2021 | Optimize the algorithm for system real-timing |
| Dec 1st - Dec 31, 2021 | Optimize current power trading system in a placid way of merging renewable powers in |
| Jan 1st - Jan 31, 2022 | Enable efficient peak-cut and demand response according to AI |
| Feb 1st - Feb 14, 2022 | Work on emergency prevention for smart power trading system |
| Feb 15 - Mar 31, 2022 | Try to complete a second draft and submit |
