A Framework for the Integration of ICT-relevant Data in Power System Applications

Brand, Michael; Ansari, Shoaib; Castro, Fernando; Chakra, Ranim; Kruger, Carsten; Babazadeh, Davood; Lehnhof, Sebastian

doi:10.1109/ptc.2019.8810654

Cited by 17 publications

(10 citation statements)

References 11 publications

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“…Furthermore, in [18], the impact of latency and packet loss on balancing generation and consumption in smart grids is demonstrated. The research in [19] and [20] shows the impact of data corruption (in this case, intentional manipulation) and data loss, respectively, on smart grid applications. It is argued that, in the case of data corruption, the control room operator could potentially get incorrect awareness of the system.…”

Section: B Related Workmentioning

confidence: 99%

Impact of ICT Latency, Data Loss and Data Corruption on Active Distribution Network Control

et al. 2023

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The ongoing changes in modern power systems towards increasingly decentralized systems render the coordination of generation assets and the corresponding dependency on Information and Communication Technology highly relevant. This work demonstrates the impact of three types of ICT errors, namely delayed data, data loss and data corruption, on the control of distributed energy resources in an active distribution network. The settling time of the active power response at the interconnection point between the distribution and transmission system is investigated in the simulations. Additionally, two fallback strategies to mitigate the impact of data loss are proposed and evaluated with regard to their impact on the controller's response. Finally, a generalized, aggregated service state description is proposed in order to capture the performance of the active distribution network service. It is meant to improve the interpretability of the results, which can be used to compare service designs and setups.

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Section: B Related Workmentioning

confidence: 99%

Impact of ICT Latency, Data Loss and Data Corruption on Active Distribution Network Control

et al. 2023

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“…Consequentially, such CPESs can be regarded as organic computing systems [27,34] as they continuously and dynamically adapt to exogenous and endogenous changes on various time scales -from significant changes in generation technologies driven by external regulatory and political factors to unforeseen demand fluctuations due to stochastic human behaviour. To cope with these dynamics, the system is characterized by self-* properties, e.g., self-organization of battery storage swarms [41], self-configuration of SCADA and protection systems [43], self-explanation, and context awareness [5].…”

Section: Motivationmentioning

confidence: 99%

“…Availability of components can be determined by monitoring their heartbeats as shown in [22]. Latency could be measured using network monitoring tools such as CheckMK [5]. However, the same is not true for data correctness.…”

Section: State Classification Of Ict-enabled Grid Servicesmentioning

confidence: 99%

“…If, for example, a component has issues with functional correctness, the trust in the component and data from that component should be decreased, which should be reflected in the state of the service accordingly. Here, trust in process data could be estimated based on static information about the involved components (e.g., from an information security management system (ISMS) for the security facet), live information from monitoring systems (e.g., from an information technology (IT) health monitoring system for the functional correctness facet), and experience [5][6][7].…”

Section: Trust As a Measure Of Data Correctnessmentioning

confidence: 99%

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Analyzing the Propagation of Disturbances in CPES considering the States of ICT-enabled Grid Services

Narayan

Klaes

Lehnhoff

et al. 2021

2021 IEEE Electrical Power and Energy Conference (EPEC)

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Digitalization enables the automation required to operate modern cyber-physical energy systems (CPESs), leading to a shift from hierarchical to organic systems. However, digitalization increases the number of factors affecting the state of a CPES (e.g., software bugs and cyber threats). In addition to established factors like functional correctness, others like security become relevant but are yet to be integrated into an operational viewpoint, i.e. a holistic perspective on the system state. Trust in organic computing is an approach to gain a holistic view of the state of systems. It consists of several facets (e.g., functional correctness, security, and reliability), which can be used to assess the state of CPES. Therefore, a trust assessment on all levels can contribute to a coherent state assessment. This paper focuses on the trust in ICT-enabled grid services in a CPES. These are essential for operating the CPES, and their performance relies on various data aspects like availability, timeliness, and correctness. This paper proposes to assess the trust in involved components and data to estimate data correctness, which is crucial for grid services. The assessment is presented considering two exemplary grid services, namely state estimation and coordinated voltage control. Furthermore, the interpretation of different trust facets is also discussed.CCS Concepts: • Hardware → Smart grid; • Security and privacy → Trust frameworks.

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“…Ref. [30] shows how ICT-relevant data affect the operational management, e.g., state estimation, in SCADA applications. For the aspect of resilience, ref.…”

Section: Modeling Of Ictmentioning

confidence: 99%

Holistic Simulation Approach for Optimal Operation of Smart Integrated Energy Systems under Consideration of Resilience, Economics and Sustainability

et al. 2021

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The intermittent energy supply from distributed resources and the coupling of different energy and application sectors play an important role for future energy systems. Novel operational concepts require the use of widespread and reliable Information and Communication Technology (ICT). This paper presents the approach of a research project that focuses on the development of an innovative operational concept for a Smart Integrated Energy System (SIES), which consists of a physical architecture, ICT and energy management strategies. The cellular approach provides the architecture of the physical system in combination with Transactive Control (TC) as the system’s energy management framework. Independent dynamic models for each component, the physical and digital system, operational management and market are suggested and combined in a newly introduced co-simulation platform to create a holistic model of the integrated energy system. To verify the effectiveness of the operational concept, energy system scenarios are derived and evaluation criteria are suggested which can be employed to evaluate the future system operations.

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A Framework for the Integration of ICT-relevant Data in Power System Applications

Cited by 17 publications

References 11 publications

Impact of ICT Latency, Data Loss and Data Corruption on Active Distribution Network Control

Impact of ICT Latency, Data Loss and Data Corruption on Active Distribution Network Control

Analyzing the Propagation of Disturbances in CPES considering the States of ICT-enabled Grid Services

Holistic Simulation Approach for Optimal Operation of Smart Integrated Energy Systems under Consideration of Resilience, Economics and Sustainability

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