Impact of Increased ICT Latency on Active Distribution Network Control

Zwartscholten, Jannik; Klaes, Marcel; González, Daniel; Subhan, Farooque; Narayan, A.; Rehtanz, Christian

doi:10.1109/energycon48941.2020.9236511

Cited by 4 publications

(6 citation statements)

References 11 publications

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“…Particularly, the active power control of an exemplary ADN is analysed based on root mean square (RMS) simulations. The preceding work [24] considered the impact of increased ICT latency. The present paper extends this by analyzing the impact of all three ICT error categories on the behavior and stability of DER clusters based on an exemplary ADN control from [4].…”

Section: Contributionmentioning

confidence: 99%

“…The paper is structured as follows: After an initial literature review in Section I-B, the adapted ADN simulation model is described in Section II with special attention to the adaptations over [24] for implementing the new ICT error categories. In Section III the influence of latency, data loss, and corrupted data on the behavior of the modeled ADN is investigated through time-domain simulations, partially under consideration of mitigating fallback strategies.…”

Section: Contributionmentioning

confidence: 99%

“…The following section describes the MATLAB Simulink simulation models used in this work to evaluate the impact of ICT errors on a control system based on [4], which initially was complemented by an ICT system for conducting data latency studies in [24]. In the paper at hand, this ICT system was further extended in order to also include data loss and data corruption, as well as two fallback strategies that are meant to mitigate the effects of data loss.…”

Section: Simulation Modelmentioning

confidence: 99%

“…The ICT model for analysing the impact of latency on the performance of the control of ADNs consists of a measurement part and a control part, both of which are designed identically. The measurement part of the ICT system model consists of three blocks -delay, moving average, and sample and hold, as described in [24]. The moving average block is described by Equation 1…”

Section: B Simulation Of Delayed Datamentioning

confidence: 99%

“…In this radial network, the upstream 110 kV grid is modeled as an ideal voltage source, and the loads are modeled as constant impedances. The DERs are depicted with the model from [24], which consists of a delay, a first-order lag, a limiter and a 3-phase static generator. The total load connected to the grid amounts to 16.79 MW, and the total installed generation capacity amounts to 50.61 MW.…”

Section: E Test System and Simulation Parametersmentioning

confidence: 99%

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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: Contributionmentioning

confidence: 99%

Section: Contributionmentioning

confidence: 99%

Section: Simulation Modelmentioning

confidence: 99%

Section: B Simulation Of Delayed Datamentioning

confidence: 99%

Section: E Test System and Simulation Parametersmentioning

confidence: 99%

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

et al. 2023

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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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