Whither probabilistic security management for real-time operation of power systems ?

TL;DR

This paper explores the integration of probabilistic methods into real-time power system security management to improve decision-making by considering contingencies, control failures, and socio-economic impacts.

Contribution

It introduces a framework that unifies long-term, mid-term, and short-term security management using probabilistic approaches for real-time operation.

Findings

Highlights the importance of probabilistic methods in real-time security decisions

Proposes a decision-making framework for security management

Lays groundwork for coherent security strategies across time scales

Abstract

This paper investigates the stakes of introducing probabilistic approaches for the management of power system's security. In real-time operation, the aim is to arbitrate in a rational way between preventive and corrective control, while taking into account i) the prior probabilities of contingencies, ii) the possible failure modes of corrective control actions, iii) the socio-economic consequences of service interruptions. This work is a first step towards the construction of a globally coherent decision making framework for security management from long-term system expansion, via mid-term asset management, towards short-term operation planning and real-time operation.