Why Your Power System Restoration Does Not Work and What the ICT System Can Do About It

Stark, Sanja; Volkova, Anna; Lehnhoff, Sebastian; Meer, Hermann de

doi:10.1145/3447555.3465415

Cited by 7 publications

(7 citation statements)

References 16 publications

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“…First results in [67] confirm the importance of critical ICT nodes for a successful restoration, which supports the approach of explicitly considering ICT restoration explicitly in the objective function.…”

Section: Recover: An Integrative Perspectivesupporting

confidence: 69%

Resilience of Digitalized Power Systems – Challenges and Solutions

Brand

Stark

Holly

et al. 2022

Preprint

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Power systems are undergoing a transition from centralized generation to distributed renewable generation. That calls for more flexibility in balancing generation and consumption because distributed energy resources in most cases rely on weather-dependent resources and can, therefore, only be controlled to a certain degree. The necessary flexibility can be achieved by introducing digitalization into the energy system. However, digitalization also leads to new vulnerabilities of the power system and increases its complexity. Additionally, the often rapid and unforeseeable development of information and communication technology introduces a new level of uncertainty in the system design. These circumstances make it necessary to shift from a classical design of robust to the design of resilient power systems that are able to anticipate, react to, and recover from them. In this paper, these real-time attributes of a resilient digitalized power system are analyzed with respect to potential measures: an enhanced situational awareness, virtualization, flexibilization, and a distributed blackstart. The measures tackle different challenges for resilient digitalized power systems and cover different phases of the resilience process, visualized in the so-called resilience bathtub curve. The implementation of these measures can increase the resilience of a digitalized power system and are meant to be combined with further, also non-real-time measures.

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Section: Recover: An Integrative Perspectivesupporting

confidence: 69%

Resilience of Digitalized Power Systems – Challenges and Solutions

Brand

Stark

Holly

et al. 2022

Preprint

Self Cite

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“…Holding involved agents accountable (often penalties) on the other hand reduces the chances of those problems arising in the first place [37]. Such an analysis could occur in the diagnosis and refine phase after a system recovers from a service failure [30] or a wide-area power outage [33].…”

Section: Accountability Problem Formulationmentioning

confidence: 99%

Accountability challenges of AI in smart grid services

Volkova

Patil

Javadi

et al. 2022

Proceedings of the Thirteenth ACM International Conference on Future Energy Systems

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The rising importance and efficiency of Artificial Intelligence (AI) has led to AI being substantially deployed in various domains and its usage growing rapidly. For the smart grid, adopting AI-based methods has transformed established power system functions into more advanced analogs. However, the unstable operation of AIbased services may misguide operators to make incorrect operational decisions leading to substantial consequences. Accordingly, the rapidly growing market of AI-based services calls for raising awareness of accountability of these services. Accountability in grid services is getting even more challenging with respect to the wide availability of the AI-based methods implemented as libraries and the emergence of AI as a service.A key way forward is through smart grid operators monitoring their AI-based services to enable accountability. Accountable AI increases trustworthiness and accelerates acceptance of these services by society. Toward this, a conceptual representation of a monitoring regime for AI-based services is proposed and major challenges to realising it are identified. In addition, this work aims to draw more attention to AI-based services and the issues they raise, given AI increasing prominence and the general calls for the more responsible and accountable use of AI. CCS CONCEPTS• Security and privacy → Social aspects of security and privacy; • Applied computing → Investigation techniques.

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“…Figure 9 shows the different stages and the development of served load during the recovery procedure. The individual phases are adopted from [29], which is detailed at the end of this section. The service level provided by the smart grid system in this case is measured by the amount of served (critical) load.…”

Section: Recovery From Blackoutmentioning

confidence: 99%

“…The way to recover the grid proposed in the Blackstart project is investigated further in this tutorial [29]. That approach makes the following assumptions: First, the upstream grid is assumed to be failed after a disaster and remains failed throughout the recovery.…”

Section: A Approaches To Black Startmentioning

confidence: 99%

A Tutorial on Resilience in Smart Grids

Stocker

Meer

2022

2022 12th International Workshop on Resilient Networks Design and Modeling (RNDM)

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A key quality of any kind of system is its ability to deliver its respective service correctly. Often the unavailability of commercial systems may lead to lost revenue, which are minor compared to what may be at stake when critical infrastructures fail. A failure to deliver critical services, such as clean water or electricity may have dire consequences that endanger human lives and may even halt or break other infrastructures. The services provided by critical infrastructures need to be supplied continuously even when faced with re-configurations, outside disturbances and systemic changes. A system is called resilient if it fulfils this property. From the many critical infrastructures that exist, power systems may be the most important ones, because they are supplying the required electricity for other critical infrastructures. At the same time, a power system itself may be exposed to several disturbances from internal sources, e.g., fluctuations in the energy demand, and external sources, e.g., heavy storms. Especially, fast dynamic effects caused by these disturbances may lead to deviations of grid frequency, short-circuits, or, in severe cases, a total power system failure. As future scenarios will include more distributed renewable sources and less centralized generation from fossil fuels, ICTbased communication and coordination will play an increasing role. This paper examines the notion of resilience, how it has been traditionally ensured for the power system, and novel approaches to maintain the frequency, protect people and devices against short circuits and recover from a blackout. A special focus is on communication and the role that distributed renewable generation plays for these processes.

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Why Your Power System Restoration Does Not Work and What the ICT System Can Do About It

Cited by 7 publications

References 16 publications

Resilience of Digitalized Power Systems – Challenges and Solutions

Resilience of Digitalized Power Systems – Challenges and Solutions

Accountability challenges of AI in smart grid services

A Tutorial on Resilience in Smart Grids

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