Integrity Assessment Scheme for Situational Awareness in Utility Automation Systems

Abstract

Today's more reliable communication technology, together with the availability of higher computational power, have paved the way for introduction of more advanced automation systems based on distributed intelligence and multi-agent technology. However, abundance of data, while making these systems more powerful, can at the same time act as their biggest vulnerability. In a web of interconnected devices and components functioning within an automation framework, potential impact of malfunction in a single device, either through internal failure or external damage/intrusion, may lead to detrimental side-effects spread across the whole underlying system. The potentially large number of devices, along with their inherent interrelations and interdependencies, may hinder the ability of human operators to interpret events, identify their scope of impact and take remedial actions if necessary. Through utilization of the concepts of graph-theoretic fuzzy cognitive maps (FCM) and expert systems, this paper puts forth a solution that is able to reveal weak links and vulnerabilities of an automation system, should it become exposed to partial internal failure or external damage. A case study has been performed on the IEEE 34-bus test distribution system to show the efficiency of the proposed scheme.

Fuzzy Cognitive Maps for Identifying Fault Activation Patterns in Automation Systems

“…Validation of the FCM output can be done using the historical data on past failures in the system. Of course, if desired, part of the historical data can be used for updating the weights, as shown in [44]. Here, the available data can be divided into independent training and testing batches to evaluate the efficiency of the training algorithm.…”

“…However, in this article in order to decouple the expert system based weight derivation in step 1 (which can be subjective) from weight update in the current step, the notion of abstract centrality is used instead as shown in [44]. Here, the importance (centrality) of vertices will be derived based on abstract in-degree and out-degree as proposed in (5):…”

A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids

“…Therefore, and following with Burt et al [208], expert systems can serve for maintenance and decision making, since they can learn from the alarms received. In this sense, Mohagheghi [209] uses expert systems to detect vulnerabilities in automated systems, which allows a more efficient and controlled system.…”

Um método baseado em consciência situacional para a percepção de eventos em sistemas de distribuição

“…Dessa forma, a CS em sistemas de grande porte é comprometida pela falta de identificação de falhas em dispositivos. Para aprimorar a CS do sistema de automação, Mohagheghi (2014) propõe um esquema com base no conceito teórico de grafos de mapas cognitivos fuzzy para que, caso ocorra uma falha interna ou externa em um ou mais elementos do sistema, ocorra a identificação dos links fracos e da aplicação mais afetada.…”