Electric vehicles (EVs) as a distributed energy resource represent a key opportunity to achieve emission reductions worldwide, although their large uncoordinated deployment could congest distribution networks generating load profiles leading to system failures. Flexible management systems to coordinate strategies between agents at different levels require high volumes of decentralized information exchanged to improve network assets utilisation and operational costs reduction. Incumbent technologies such as Smart Contracts (SCs) from Distributed Ledger Technologies (DLT) would enable these coordination approaches with near real-time resolution. Therefore, this study aims to evaluate and propose flexible charging strategies for high penetration levels of electric vehicles and renewable energies on already congested distribution networks. It considers the use of Smart Contracts as enablers of new decentralised coordination architectures among network agents. A multi-agent coordination through a Two-Part Tariff (TPT) to provide flexibility services in congested distribution power networks is stylised. Then, a market setting with large penetration of EVs from an aggregated portfolio has been individually modelled for the UK Local Energy Market of Cornwall to relieve local network congestion. Results illustrate that EVs coordination strategies are able to reduce network costs and manage congestion, allowing up to 6.5% more renewable energy to be delivered into the grid.
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