Reliability of Decentralized Network Automation Systems and Impacts on Distribution Network Reliability

Kamps, Kristof; Möhrke, Fabian; Zdrallek, Markus; Awater, Philipp; Schwan, Michael

doi:10.1109/pmaps47429.2020.9183449

Cited by 6 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The FiN data can be used to enable research on real data. Grid stability and automation is a topic of major importance, especially due to the increasing complexity of the electricity grid. Many different works [24–28] deal with different aspects and techniques to ensure stability or automation. However, most of them have in common that they are significantly based on grid parameters, such as voltage or frequency.…”

Section: Related Workmentioning

confidence: 99%

Fühler‐im‐Netz: A smart grid and power line communication data set

et al. 2022

View full text Add to dashboard Cite

The increasing complexity of low‐voltage networks poses a growing challenge for the reliable and fail‐safe operation of electricity grids. The reasons for this include an increasingly decentralised energy generation (photovoltaic systems, wind power etc.) and the emergence of new types of consumers (e‐mobility, domestic electricity storage etc.). At the same time, the low‐voltage grid is largely unmonitored and local power failures are sometimes hard to detect. To overcome this, power line communication (PLC) has emerged as a potential solution for reliable monitoring of the low‐voltage grid. In addition to establishing a communication infrastructure, PLC also offers the possibility of evaluating the cables themselves, as well as the connection quality between individual cable distributors based on their signal‐to‐noise ratio (SNR). The roll‐out of a large‐scale PLC infrastructure therefore not only ensures communication, but also introduces a tool for monitoring the entire network. To evaluate the potential of this data, we installed 38 PLC modems in three different areas of a German city with a population of about 150,000 as part of the Fühler‐im‐Netz (FiN) project. Over a period of 22 months, an SNR spectrum of each connection between adjacent PLC modems was generated every quarter of an hour. The availability of this real‐world PLC data opens up new possibilities to react to the increasingly complex challenges in future smart grids. This paper provides a detailed analysis of the data generation and describes how the data was collected during normal operation of the electricity grid. In addition, we present common anomalies, effects, and trends that could be observed in the PLC data at daily, weekly, or seasonal levels. Finally, we discuss potential use cases and the remote inspection of a cable section is highlighted as an example.

show abstract

Section: Related Workmentioning

confidence: 99%

Fühler‐im‐Netz: A smart grid and power line communication data set

et al. 2022

View full text Add to dashboard Cite

show abstract

“…• Grid stability and automation is a topic of major importance, especially due to the increasing complexity of the electricity grid. Many different works [30], [24], [2], [16], [19] deal with different aspects and techniques to ensure stability or automation. However, most of them have in common that they are significantly based on grid parameters, such as voltage or frequency.…”

Section: Related Workmentioning

confidence: 99%

FiN: A Smart Grid and Power Line Communication Dataset

Balada¹,

Ahmed²,

Dengel³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

The increasing complexity of low-voltage networks poses a growing challenge for the reliable and fail-safe operation of electricity grids. The reasons for this include an increasingly decentralized energy generation (photovoltaic systems, wind power, etc.) and the emergence of new types of consumers (emobility, domestic electricity storage, etc.). At the same time, the low-voltage grid is largely unmonitored and local power failures are sometimes hard to detect. To overcome this, power line communication (PLC) has emerged as a potential solution for reliable monitoring of the low-voltage grid. In addition to establishing a communication infrastructure, PLC also offers the possibility of evaluating the cables themselves, as well as the connection quality between individual cable distributors based on their Signal-to-Noise Ratio (SNR). The roll-out of a large-scale PLC infrastructure therefore not only ensures communication, but also introduces a tool for monitoring the entire network. To evaluate the potential of this data, we installed 38 PLC modems in three different areas of a German city with a population of about 150,000 as part of the F ühler-im-Netz project. Over a period of 22 months, an SNR spectrum of each connection between adjacent PLC modems was generated every quarter of an hour. The availability of this real-world PLC data opens up new possibilities to react to the increasingly complex challenges in future smart grids. This paper provides a detailed analysis of the data generation and describes how the data was collected during normal operation of the electricity grid. In addition, we present common anomalies, effects, and trends that could be observed in the PLC data at daily, weekly, or seasonal levels. Finally, we discuss potential use cases and the remote inspection of a cable section is highlighted as an example.

show abstract

“…Outro aspecto importante a ser destacado está na característica radial dos sistemas de distribuição. Por ser bem adaptado a esta característica, o método dos conjuntos mínimos de corte [11] ganhou destaque entre as técnicas existentes, sendo aplicado até os dias atuais [12], [13], [14] e [15]. Este método, além de não apresentar grande dificuldade de implementação, fornece, por meio dos conjuntos de corte, importantes informações sobre os modos de falha do sistema.…”

Section: Desenvolvimento Históricounclassified

Avaliação Da Confiabilidade De Sistemas De Geração E Transmissão Baseada Em Técnicas De Enumeração De Estados E Amostragem Por Importância

MANSO¹

View full text Add to dashboard Cite

The probabilistic reliability assessment of an electric power system aims to quantify, in terms of risk indices, its inability to fully serve its customers. In practice, deterministic criteria (e.g., N-1) are still the most widely used. In the literature, however, probabilistic analysis is an extensive area of research, which can be divided into two evaluation categories: those based on Monte Carlo simulation (MCS) and those based on the state enumeration (SE). Despite being admittedly inferior, the SE technique is the one that most closely resembles the deterministic criteria, and, most likely for this reason, has a wide range of technical publications. However, such works have limitations, because they are either restricted to small systems, or they disregard higher contingency orders, when addressing real systems (medium-large). In any case, there is a strong attachment of the electric sector to reliability techniques that are similar to the practices of operators and planners. This motivated the development of a method based on SE, which is capable of assessing the reliability of generation and transmission systems with performance comparable to that of MCS. In a heterodox way, importance sampling (IS) concepts used in variance reduction techniques (VRT), typically employed by MCS, have served as inspiration to improve SE. Thus, the method proposed in this dissertation is the combination result of an IS-VRT type tool with SE techniques. For the analysis and validation of the proposed method, two test systems commonly used in this research topic are used, one of which is medium-sized and capable of reproducing typical characteristics of real systems.

show abstract

Reliability of Decentralized Network Automation Systems and Impacts on Distribution Network Reliability

Cited by 6 publications

References 12 publications

Fühler‐im‐Netz: A smart grid and power line communication data set

Fühler‐im‐Netz: A smart grid and power line communication data set

FiN: A Smart Grid and Power Line Communication Dataset

Avaliação Da Confiabilidade De Sistemas De Geração E Transmissão Baseada Em Técnicas De Enumeração De Estados E Amostragem Por Importância

Contact Info

Product

Resources

About