Project title: Peer-to-Peer joint Energy and Carbon Trading
Position: PhD candidate
Benefits:
100% tuition fee waiver
RM2,850 monthly stipend (up to 42 months)
Supervisors: Dr. Tan Wen Shan
Project Description:
This project aims to explore a Peer-to-Peer (P2P) joint energy and carbon (E&C) trading model to co-optimize both energy and carbon emissions permit transactions considering the trading preferences in the power grid. To realize the secure and low-carbon network operation, a carbon-aware pricing scheme is proposed to guide the P2P transactions among prosumers. In practice, the coordination between the P2P market and the system operator can be cast as a bi-level optimization. In the upper level, the network operation optimization of the system operator is modelled as a carbon-aware optimal power flow problem based on a carbon emission flow model to ensure the security of network operation and derive the carbon-aware price. In the lower level, a decentralized P2P joint E&C trading can be modelled to simultaneously clear energy and carbon credit. Various aspects of E&C trading can be explored, such as distributed optimization (machine learning ADMM), game theory and demurrage protocol, to improve efficiency, while motivate “grid-friendly” and “low-carbon” P2P trading.
Requirements:
Open to Malaysians and International Students
Hold an excellent Bachelor degree with CGPA of at least 3.67 (First class) or equivalent in Electrical / Electronics Engineering, Mechatronics Engineering, Computer Engineering, or similar disciplines.
Students who are expected to graduate in the near future are also encouraged to apply.
Having prior journal publications in high-ranked publishers is preferable.
Strong analytical skills and mathematical background.
Fundamental knowledge in the areas of ESG, carbon emission, peer-to-peer trading and etc.
Strong skills in programming/ using tools, such as python, c++ and etc.
Excellent, motivated, and self-driven.
Please contact Dr. Tan Wen Shan via email : tan.wenshan@monash.edu