A Novel Scheme for Performance Evaluation of an IEC 61850-Based Active Distribution System Substation

Ustun, Taha Selim; Aftab, Mohd Asim; Ali, Ikbal; Hussain, S. M. Suhail

doi:10.1109/access.2019.2937971

Cited by 18 publications

(21 citation statements)

References 13 publications

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“…Ustun et al [49] proposes a method for both modeling and experimental validation of the results obtained, for the performance analysis of different types of messages utilised in an active distribution system (ADS) substation. The different types of messages considered are defined by the IEC 61850-5 standard, and are as follows [49]: 1. Type 1fast messages 2.…”

Section: J Riverbed (Opnet) Modeling Of Sas Components As Well As a mentioning

confidence: 99%

Section: J Riverbed (Opnet) Modeling Of Sas Components As Well As a mentioning

confidence: 99%

“…An in-depth description of the communication links and data transfer between devices in a SAS is provided by the research scholars in [49]. Additionally, a software approach to the modeling of the traffic flow in an SCN is proposed, with the use of the Riverbed Modeler being discussed in the paper [49]. The Riverbed Modeler, which was previously the OPENT modeler, allows for the modeling of the various components contained in the SAS, including the P&C IEDs, MU IEDs, breaker IEDs, ethernet switches and fiber optic links.…”

Section: J Riverbed (Opnet) Modeling Of Sas Components As Well As a mentioning

confidence: 99%

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A Review of the Methods Used to Model Traffic Flow in a Substation Communication Network

Klerk

Saha

2020

IEEE Access

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Section: J Riverbed (Opnet) Modeling Of Sas Components As Well As a mentioning

confidence: 99%

Section: J Riverbed (Opnet) Modeling Of Sas Components As Well As a mentioning

confidence: 99%

Section: J Riverbed (Opnet) Modeling Of Sas Components As Well As a mentioning

confidence: 99%

See 1 more Smart Citation

A Review of the Methods Used to Model Traffic Flow in a Substation Communication Network

Klerk

Saha

2020

IEEE Access

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“…Thus, they can be divided into three different categories based on their data flow characteristics, namely, cyclic, stochastic and burst data [25]. A Pareto distribution for burst data flow was suggested in [25], whereas in [7], a Weibull distribution was used instead as it is claimed to fit better increasing retransmission scheme of bursty GOOSE messages. Network in general Internet traffic can be characterized by heavy-tail distributions such as Ethernet bursts [28] and FTP activity.…”

Section: Distributional Considerations Of the Datamentioning

confidence: 99%

“…Mechanisms to ensure the integrity of the data within ICS or SCN shall account for the strict Real-Time (RT) requirements expected in such environments. Authentication methods adapted for those particular conditions have been developed in literature [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Detection of DoS Attacks Using ARFIMA Modeling of GOOSE Communication in IEC 61850 Substations

et al. 2020

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Integration of Information and Communication Technology (ICT) in modern smart grids (SGs) offers many advantages including the use of renewables and an effective way to protect, control and monitor the energy transmission and distribution. To reach an optimal operation of future energy systems, availability, integrity and confidentiality of data should be guaranteed. Research on the cyber-physical security of electrical substations based on IEC 61850 is still at an early stage. In the present work, we first model the network traffic data in electrical substations, then, we present a statistical Anomaly Detection (AD) method to detect Denial of Service (DoS) attacks against the Generic Object Oriented Substation Event (GOOSE) network communication. According to interpretations on the self-similarity and the Long-Range Dependency (LRD) of the data, an Auto-Regressive Fractionally Integrated Moving Average (ARFIMA) model was shown to describe well the GOOSE communication in the substation process network. Based on this ARFIMA-model and in view of cyber-physical security, an effective model-based AD method is developed and analyzed. Two variants of the statistical AD considering statistical hypothesis testing based on the Generalized Likelihood Ratio Test (GLRT) and the cumulative sum (CUSUM) are presented to detect flooding attacks that might affect the availability of the data. Our work presents a novel AD method, with two different variants, tailored to the specific features of the GOOSE traffic in IEC 61850 substations. The statistical AD is capable of detecting anomalies at unknown change times under the realistic assumption of unknown model parameters. The performance of both variants of the AD method is validated and assessed using data collected from a simulation case study. We perform several Monte-Carlo simulations under different noise variances. The detection delay is provided for each detector and it represents the number of discrete time samples after which an anomaly is detected. In fact, our statistical AD method with both variants (CUSUM and GLRT) has around half the false positive rate and a smaller detection delay when compared with two of the closest works found in the literature. Our AD approach based on the GLRT detector has the smallest false positive rate among all considered approaches. Whereas, our AD approach based on the CUSUM test has the lowest false negative rate thus the best detection rate. Depending on the requirements as well as the costs of false alarms or missed anomalies, both variants of our statistical detection method can be used and are further analyzed using composite detection metrics.

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On IEC 61850 communication networks in smart grids system: Methodology of implementation and performances analysis on an experimental platform

Saadi

Abbou

2021

Intl J of Energy Research

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The increasing installation of distributed energy resources during the last years has led to a fundamental change in the power system structure. As a consequence, utility operators are faced with new challenges in grid planning and control. The consideration of smart grids show promising results in increasing the hosting capacity for distributed and renewable resources. Standardized automation, control, and communication systems are important keys to realize such intelligent methods. This paper focuses on a deployment methodology of IEC 61850 on an experimental platform for smart grid system. We were interested in evaluating the performance of the GOOSE communication. A standard-based communication approach for distributed energy resources is introduced and implemented. It uses the IEC 61850 interoperability approach as well as the GOOSE communication for distributed automation. The implementation methodology is provided to handle the hierarchical architecture of distributed control applications. In order to show the advantages of the proposed methodology, a combined analytical and experimental approach is demonstrated for evaluation of GOOSE communication performances.

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A Novel Scheme for Performance Evaluation of an IEC 61850-Based Active Distribution System Substation

Cited by 18 publications

References 13 publications

A Review of the Methods Used to Model Traffic Flow in a Substation Communication Network

A Review of the Methods Used to Model Traffic Flow in a Substation Communication Network

Detection of DoS Attacks Using ARFIMA Modeling of GOOSE Communication in IEC 61850 Substations

On IEC 61850 communication networks in smart grids system: Methodology of implementation and performances analysis on an experimental platform

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