DSR approach to P2P for Efficient Energy Trading

ivan.abellan@uni.lu

Gabriela Maestri

Renan Lima Baima

pouria.arfaiee-torkambour@ids

ramin.bahmani@uni.lu

timothee.hornek@uni.lu
Description
DSR approach to P2P for Efficient Energy Trading
Problem identification and motivation
- Lack of Transparency, Traceability, and Trust
- Low Distribution Efficiency on Local Level
- Solely Relying on Centralized Market Design:
- difficult market entry due to lack of credibility
- not resilient in case of shutdown
Objectives of a solution
- Provide Transparency, Traceability, and Trust
- Increased Distribution Efficiency on Local Level
- Better Integration of Renewable Energy
- Reduce Energy Waste in Transmission System
- Increase Reliance on Non-centralized Market Design
- Reduce Energy Cost of Consumers and Increase Revenue of Producers
- Provide Transparency, Traceability, and Trust
- Increased Distribution Efficiency on Local Level
Design and development
- Literature Review (see P2P Papers: "Peer-to-peer energy trading: A review of the literature", "A smart contract-based p2p energy trading system with dynamic pricing on ethereum blockchain")
- Identify opportunities, limitations and gaps
- Identify opportunities, limitations and gaps
- Get an Overview of Existing Projects (see Table)
- How?
- Contact relevant stakeholders, major distributors and Grid Operators to understand needs and requirements to specify functionalities
- Look for the construct to develop the architecture accordingly
- Instantiation:
- Set up blockchain nodes simulating relevant stakeholders
- Create a P2P local market with smart contracts platform
- Set up blockchain nodes simulating relevant stakeholders
- Literature review on P2P electricity trading: study architecture designs
- Design adapted peer-to-peer local energy market
- Implement a computer simulation (the agent-based model in Python)
Demonstration
- Proof of utility by running simulations with a blockchain-based architecture
- Simulate different scenarios <> Compare against real-world data
- Performance
- Data consistency
- Reliability and network stability in terms of energy and prices
- Go to deployment in case of simulations are successful
- Pilot phase with several local markets
- Simulate different scenarios <> Compare against real-world data
Evaluation
- Measure efficiency gains in simulations and possibly deployment
- Get feedback: scientific community (blockchain + energy), and business
- Measure efficiency gains in simulations and possibly deployment
- KPI: Interdependence performance index (IPI)
- Reduction in overall costs of peer-to-peer market participants
- Importing less power from the main electricity grid
- Reduction of electricity costs by increasing installed renewable generation
- Evaluation by experts (blockchain + energy), and business
Communication
- Structure a paper and publish (conferences, social media, scientific community)
- Communicate to stakeholders:
- Energy companies
- Potential P2P participants
- Small industrial producers/consumers of electrical energy