Anna holds a BEng in Engineering with Business Administration and an MSc in Engineering with Innovation and Entrepreneurship. During her undergraduate degree, she completed a work-study placement at the company Bosch in Germany, gaining insights into manufacturing and plant coordination. For her MSc thesis, Anna modelled a blockchain-based peer-to-peer (P2P) energy trading platform. With a great interest in this highly innovative topic, she decided to continue her research in energy and blockchain by joining the LoLo CDT.
Anna’s MRes thesis focused on the analysis and design of a P2P energy trading system to support local electricity grid balance conducting a load flow analysis on a low-voltage distribution network. As part of her PhD thesis Anna assesses scalability issues of P2P energy trading systems and its implications for large scale implementation. Alongside her PhD, Anna works as a research assistant on the Global Observatory of Peer-to-Peer Energy Trading (GO-P2P) and the joint Energy Trading Taskforce between GO-P2P and the International Association for Trusted Blockchain Applications (INATBA). Anna has been part of the research group developing the P2P energy trading boardgame “Watts the Deal?”.
Analysis and Design of Peer-to-Peer Energy Trading Networks for System Scalability
In future energy markets, peer-to-peer (P2P) energy trading systems can be used to manage decentralised energy resources and provide social value to the participants by creating customer-centred market platforms. Current research in academia and industry focuses on how these platforms can be designed and operated using a set environment with pre-defined system parameters. Assuming that in the future, these systems could be implemented on a large scale with dynamically changing system parameters, there is still considerable uncertainty around the impact of scaling these platforms. The multi-dimensional nature of the P2P energy trading architecture and the yet unknown interdependencies between those dimensions can cause constraints that could impact the system’s performance.
This research study aims at disentangling the multi-dimensional nature of P2P trading platforms and uncover existing interdependencies. An exploratory approach will be taken by modeling different configurations a P2P system might operate in to allow dynamic scaling of P2P energy trading networks.
LoLo Student attends InfraTrain Autumn School 2019
6th February 2020
Anna Gorbatcheva – Women4Climate Blogpost – Women in LoLo