Dynamic Microgrid Formation Considering Time-dependent Contingency: A Distributionally Robust Approach

TL;DR

This paper introduces a distributionally robust dynamic microgrid formation method that adapts to time-dependent contingencies during extreme weather, improving power grid resilience by minimizing load shedding.

Contribution

It proposes a novel DR-DMF approach that accounts for temporal failure probabilities and optimizes microgrid boundaries to enhance resilience under uncertainty.

Findings

The proposed method effectively reduces load shedding during extreme weather events.

Numerical simulations demonstrate improved system resilience compared to traditional approaches.

The approach dynamically adjusts microgrid boundaries based on contingency probabilities.

Abstract

The increasing frequency of extreme weather events has posed significant risks to the operation of power grids. During long-duration extreme weather events, microgrid formation (MF) is an essential solution to enhance the resilience of the distribution systems by proactively partitioning the distribution system into several microgrids to mitigate the impact of contingencies. This paper proposes a distributionally robust dynamic microgrid formation (DR-DMF) approach to fully consider the temporal characteristics of line failure probability during long-duration extreme weather events like typhoons. The boundaries of each microgrid are dynamically adjusted to enhance the resilience of the system. Furthermore, the expected load shedding is minimized by a distributionally robust optimization model considering the uncertainty of line failure probability regarding the worst-case distribution of contingencies. The effectiveness of the proposed model is verified by numerical simulations on a modified IEEE 37-node system.