Optimal Skeleton Network Reconfiguration considering Topological Characteristics and Transmission Path

TL;DR

This paper introduces an integrated skeleton-network reconfiguration model for power system restoration that optimizes network quality and minimizes restoration time by considering topological features and transmission constraints.

Contribution

It proposes a novel topological quality index and formulates the reconfiguration as a MILP, improving restoration efficiency and network quality assessment.

Findings

The model effectively improves restoration sequence efficiency.

Numerical tests validate the model's ability to optimize network quality.

The approach reduces restoration time in simulated scenarios.

Abstract

Power system restoration can be divided into three stages: black-start, network reconfiguration, and load restoration. A skeleton-network should be restored in the second stage to prepare for the subsequent large-scale system-wide load pickup. This paper proposes a novel integrated skeleton-network reconfiguration (ISNR) model which considers both the topological characteristics of the network and the transmission path energization constraints. A novel topological characteristics-based skeleton-network quality index (TCSNQI), an index based on the network importance and distance, is proposed to evaluate the quality of the skeleton-network. The proposed ISNR model can attain both the target network and the associated restoration sequence for that network. The attained target network reaches a certain quality level, and it requires the least restoration time based on the attained sequence of ordered switching actions. The proposed ISNR model is formulated as a mixed-integer linear programming (MILP) problem. Numerical simulations on the New England 39-bus test system demonstrate the performance of the proposed ISNR model.