Risk-based approach to the Optimal Transmission Switching problem

TL;DR

This paper introduces a risk-based model for the Optimal Transmission Switching problem that accounts for potential grid de-energization during contingencies, enhancing operational decision-making in subtransmission systems.

Contribution

It proposes a novel model integrating risk considerations into the classical MILP framework for secure OTS, including partial grid loss analysis for contingencies.

Findings

Model successfully applied to IEEE 14-bus system

Reveals preventive-openings-cascade phenomenon

Aligns with real operational behaviors

Abstract

This paper deals with the secure Optimal Transmission Switching (OTS) problem in situations where the TSO is forced to accept the risk that some contingencies may result in the de-energization of parts of the grid to avoid the violation of operational limits. This operational policy, which mainly applies to subtransmission systems, is first discussed. Then, a model of that policy is proposed that complements the classical MILP model of the N-1 secure OTS problem. It comprises a connectivity and notably a partial grid loss analysis for branch outage contingencies. Finally, its application to the IEEE 14-bus system is presented. Solutions similar to those observed in operation are reached by the algorithm, notably revealing the preventive-openings-cascade phenomenon.