A distributed robust control strategy for electric vehicles to enhance resilience in urban energy systems

Resilient operation of multi-energy microgrid is a critical concept for decarbonization in modern power system. Its goal is to mitigate the low probability and high damaging impacts of electricity interruptions. Electrical vehicles, as a key flexibility provider, can react to unserved demand and autonomously schedule their operation in order to provide resilience. This paper presents a distributed control strategy for a population of electrical vehicles to enhance resilience of an urban energy system experiencing extreme contingency. Specifically, an iterative algorithm is developed to coordinate the charging/discharging schedules of heterogeneous electrical vehicles aiming at reducing the essential load shedding while considering the local constraints and multi-energy microgrid interconnection capacities. Additionally, the gap between electrical vehicle energy and the required energy level at the departure time is also minimised. The effectiveness of the introduced distributed coordinated approach on energy arbitrage and congestion management is tested and demonstrated by a series of case studies.

Automated summary

This paper proposes a distributed control strategy for coordinating the charging/discharging schedules of electrical vehicles to enhance the resilience of an urban energy system. The strategy takes into account the local constraints and interconnection capacities of the multi-energy microgrid, and aims to reduce essential load shedding. Additionally, it minimizes the gap between the energy of the electrical vehicles and the required energy level at the departure time. A series of case studies demonstrate the effectiveness of the introduced distributed coordinated approach on energy arbitrage and congestion management.