The Effect of the Types of Network Topologies on Nontechnical Losses in Secondary Electricity Distribution Systems

Yorukoglu, Sinan; Nasibov, Fuad; Mungan, Mehmet; Bağrıyanık, Mustafa

doi:10.1109/tia.2016.2582820

Cited by 9 publications

(4 citation statements)

References 12 publications

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“…Energy theft is one of the serious concerns related to the non-technical losses (NTL) in distribution systems which account for 10%-40% of energy distribution. According to to [180], NTL changes slightly based on the topology of the secondary electricity distribution system. The authors of [181] proposed a methodology to estimate the losses due to thefts and frauds in distribution systems.…”

Section: B Smart Meters and Advanced Metering Infrastructure (Ami)mentioning

confidence: 99%

A Survey on Cyber-Physical Security of Active Distribution Networks in Smart Grids

Khalaf,

Ayad,

Tushar

et al. 2024

IEEE Access

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Distribution systems are evolving from traditional passive networks into, what is known as, Active Distribution Networks (ADNs). Unlike traditional distribution networks, ADNs are characterized by bi-directional power flow, the high penetration of DERs, storage capabilities and sophisticated control strategies. Multiple layers of communications, sensing and computation are being integrated into ADNs for monitoring, control and protection of a variety of components and critical operations. This enhanced dependency on information and communication technologies, however, increases the exposure of ADNs to cyber-attacks. Several papers have been published in recent years with a focus on cyber-physical security (CPS) of smart grids. However, the published survey papers primarily emphasize the transmission level of smart grid threats and challenges, with little focus on the ADNs. Given the rapid deployment of ADNs and the increasing cyber threats against power grids and critical infrastructures, we are motivated, in this article, to present a review and survey focused, instead, on the latest research advancements in the area of CPS for ADNs. This paper represents the first survey of timely research in the area of CPS of ADNs with a focus on ADN critical operations and components. The cyber-physical aspects of each critical operation/component are analyzed. In addition, the challenges and requirements of associated communication protocols and standards are presented. Cybersecurity of ADN devices and sensors including Phasor Measurement Units (PMUs), smart meters, advanced metering infrastructure and protection relays are discussed in detail. Moreover, a thorough study of ADNs application drivers and enablers including microgrids, Electric Vehicles (EVs), Internet-of-Things (IoT) and smart homes is conducted. Potential and existing solutions by industry are highlighted. Finally, survey outcomes and directions for future work are presented to highlight emerging avenues of research.

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Section: B Smart Meters and Advanced Metering Infrastructure (Ami)mentioning

confidence: 99%

A Survey on Cyber-Physical Security of Active Distribution Networks in Smart Grids

Khalaf,

Ayad,

Tushar

et al. 2024

IEEE Access

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“…Such instances may be directly interfacing with a given DSO or through proxy third-party stakeholders maintaining and supporting large-scale EMS deployments. From the end-user perspective, there is a variety of EMS types coming with specific functionalities such as home energy management systems (HEMSs) and building management systems (BMSs) 3 . In parallel, EMS can also be present at a larger scale deployed either at a centralised or a distributed topology aggregating measurements for the T&D insfrastructure [40]- [42].…”

Section: ) Advanced Metering Infrastructure (Ami)mentioning

confidence: 99%

“…1) Grid Reliability: preservation of continuous energy supply to end consumers . 3 Discussion of EMS variations is out of scope for this paper.…”

Section: Grid Effectiveness Pillarsmentioning

confidence: 99%

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Energy Theft in Smart Grids: A Survey on Data-Driven Attack Strategies and Detection Methods

et al. 2021

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The convergence of legacy power system components with advanced networking and communication facilities have led towards the development of smart grids. Smart grids are envisioned to be the next generation innovative power systems, guaranteeing resilience, reliability and sustainability and to facilitate energy production, distribution and management. Nonetheless, the development of such systems entails challenges covering a broad spectrum ranging from operational management up to datadriven power accounting and network security. Given the highly distributed properties of the modern grid, energy theft can now be observed at various transmission and distribution levels. Apart from the financial gain for a malicious actor, energy theft can also affect critical grid processes with a direct impact on its overall resilience and safety. This survey reviews recent energy theft strategies as well as detection methods from a data-driven perspective. By considering various operational and functional layers within modern smart grids we critically assess how energy theft can be formulated. Moreover, we provide an overview of the grid demand, supply and control chain with a focus on energy theft and associated security flaws that currently exist in the smart grid ecosystem. Different attack detection models for theft detection in the smart grid are categorized. Lastly, we discuss various open issues in the scope of data-driven energy theft detection methods and provide future directions to carry out research in this field.

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Detecting and Pricing Nontechnical Losses by Using Utility Power Meters in Electricity Distribution Grids

Karabiber

2019

J. Electr. Eng. Technol.

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The Effect of the Types of Network Topologies on Nontechnical Losses in Secondary Electricity Distribution Systems

Cited by 9 publications

References 12 publications

A Survey on Cyber-Physical Security of Active Distribution Networks in Smart Grids

A Survey on Cyber-Physical Security of Active Distribution Networks in Smart Grids

Energy Theft in Smart Grids: A Survey on Data-Driven Attack Strategies and Detection Methods

Detecting and Pricing Nontechnical Losses by Using Utility Power Meters in Electricity Distribution Grids

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