A modeling approach for dependability analysis of smart distribution grids

Amare, Tesfaye; Helvik, Bjarne E.; Heegaard, Poul E.

doi:10.1109/icin.2018.8401634

Cited by 10 publications

(16 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1) Architecture A (Arch-A): In this scenario, the substation communication network shown in Figure 1 from [10] is used. It is a traditional IEC 61850 based cascaded SCN where there is no redundancy for either the IED components or the LAN network.…”

Section: A Substation Communication Network (Scn)mentioning

confidence: 99%

“…The physical distribution grid topology from [10] shown in Figure 5, is used in this study. It consists 16 feeders and has a radial topology with normally open intelligent switches providing redundancy between some feeders.…”

Section: B Physical Gridmentioning

confidence: 99%

“…A Stochastic activity network model proposed in [10] is extended and used. The model is developed using the Mobius tool [11].…”

Section: Modelmentioning

confidence: 99%

“…Atomic models are developed for the individual components of the IEC 61850 based control system and the physical grid. Detailed models of each the components and a model of the entire distribution grid are presented in [10]. Below is a summary of the atomic models extended for this study.…”

Section: A Atomic Modelsmentioning

confidence: 99%

“…This paper looks into how the reliability of the distribution grid is affected in assuming different failure modes, mainly value and omission type failures. An extended model of a stochastic activity network based model proposed in [10] is used. Furthermore, different architectures of the IEC 61850 based substation communication network, proposed by previous works, are investigated and compared for the different failure semantics considered.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Dependability Analysis of Smart Distribution Grid Architectures Considering Various Failure Modes

Amare

Helvik

2018

2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

Self Cite

View full text Add to dashboard Cite

The future smart distribution grid will be consisting of new components and technologies with enhanced capability whose failure behaviour can not be determined with certainty. In studying the reliability of these distribution grids, it is important to look into various possible failure semantics of the new components and how would they possibly affect the reliability of the distribution grid. This paper aims to investigate/study how the various failure modes of the new components affect the reliability of distribution grids. The focus is on (limited to) reliability evaluation of the feeder protection function of next generation distribution grids considering omission and value type failure semantics. A generic and modular modeling framework based on a stochastic activity networks is used to model the distribution grid. An IEC61850 based automation/substation communication network (SCN) is considered. And, for illustration, different scenarios with different SCN architectures are investigated.

show abstract

Section: A Substation Communication Network (Scn)mentioning

confidence: 99%

Section: B Physical Gridmentioning

confidence: 99%

“…A Stochastic activity network model proposed in [10] is extended and used. The model is developed using the Mobius tool [11].…”

Section: Modelmentioning

confidence: 99%

Section: A Atomic Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dependability Analysis of Smart Distribution Grid Architectures Considering Various Failure Modes

Amare

Helvik

2018

2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

Self Cite

View full text Add to dashboard Cite

show abstract

State-Space Construction of Hybrid Petri Nets with Multiple Stochastic Firings

Hüls

Pilch

Schinke

et al. 2019

Quantitative Evaluation of Systems

View full text Add to dashboard Cite

Hybrid Petri nets have been extended to include general transitions that fire after a randomly distributed amount of time. With a single general one-shot transition the state space and evolution over time can be represented either as a Parametric Location Tree or as a Stochastic Time Diagram. Recent work has shown that both representations can be combined and then allow multiple stochastic firings. This work presents an algorithm for building the Parametric Location Tree with multiple general transition firings and shows how its transient probability distribution can be computed using multi-dimensional integration. We discuss the (dis-)advantages of an interval arithmetic and a geometric approach to compute the areas of integration. Furthermore, we provide details on how to perform a Monte Carlo integration either directly on these intervals or convex polytopes, or after transformation to standard simplices. A case study on a battery-backup system shows the feasibility of the approach and discusses the performance of the different integration approaches.

show abstract

Effect of Communication Failures on State Estimation of 5G-Enabled Smart Grid

2020

Self Cite

View full text Add to dashboard Cite

Information and Communication Technologies (ICT), Wide Area Measurement Systems (WAMS) and state estimation represent the key-tools for achieving a reliable and accurate knowledge of the power grid, and represent the foundation of an information-based operation of Smart Grids. Nevertheless, ICT brings new potential vulnerabilities within the power grid operation, that need to be evaluated. The strong interdependence between power system and ICT systems requires new methodologies for modeling the smart grid as a Cyber Physical System (CPS), and finally analyzing the impact of ICT failures on the power grid operation. This paper proposes a novel methodological approach that combines Stochastic Activity Networks (SAN) modeling and numerical computation for dependability analysis of a 5G-based WAMS. Internal influences such as component failures and external influences such as rain effect are considered, and the impact of these failures are assessed over the WAMS capability to provide reliable data for performing an accurate power network state estimation. Different state estimation approaches (traditional SCADA and PMUbased algorithms) and weather conditions are compared in terms of mean states estimation error and safety. The results highlight that 5G based WAMS result in a close-to-ideal behavior which enforces the prospect of a future adoption for smart grid monitoring applications.

show abstract

A modeling approach for dependability analysis of smart distribution grids

Cited by 10 publications

References 30 publications

Dependability Analysis of Smart Distribution Grid Architectures Considering Various Failure Modes

Dependability Analysis of Smart Distribution Grid Architectures Considering Various Failure Modes

State-Space Construction of Hybrid Petri Nets with Multiple Stochastic Firings

Effect of Communication Failures on State Estimation of 5G-Enabled Smart Grid

Contact Info

Product

Resources

About