Resilience Evaluation of Advanced Distribution Grids with Self-healing Control, Microgrid and Transactable Reactive Power

Increasing the resiliency of distribution systems through the use of advanced controls and the engagement of distributed energy resources (DERs) has been gaining attention. However, there is no available tool to evaluate resilience considering advanced technology in the distribution grid. This paper presents a method to quantitatively evaluate the resilience improvement of a distribution system after deploying self-healing control, microgrid and transactive energy systems. The proposed method is based on the time-sequential Monte Carlo simulation and considers the complexity of a real distribution system. Additionally, a heuristic algorithm is developed to find a practical service restoration strategy based on the three-phase power flow constraints and topology constraints. Characterized by its simplified computation process, the proposed algorithm applies to the long-term resilience evaluation. Case study on a real distribution system shows that the resilience of both the critical load and the system is greatly improved.