Review of static risk‐based security assessment in power system

Bhuiyan, Zakirul Alam; Anders, G.J.; Philhower, Jason; Du, Songhuai

doi:10.1049/iet-cps.2018.5080

Cited by 28 publications

(20 citation statements)

References 50 publications

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“…With the development of risk theory in power systems and the practice in engineering applications, risk assessment has been gradually applied to various areas of the power industry, mainly including operational risk monitoring, equipment management, etc. [19]. In recent years, risk assessment technology has been employed in distributed power systems and active power distribution networks.…”

Section: Introductionmentioning

confidence: 99%

A Data-Driven Combined Algorithm for Abnormal Power Loss Detection in the Distribution Network

Long

Chen

et al. 2020

IEEE Access

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Power loss, consisting of technical loss (TL) and non-technical loss (NTL), reflects the effective utilization rate of energy and the management level of power grids. This paper proposes a data-driven combined algorithm to systematically identify anomalies of power loss in the distribution network, including the abnormal type, time, and position. The detection process contains three stages: abnormal feeder detection, abnormal time detection, and abnormal position detection. The suspected abnormal feeders are first detected from all feeders in the distribution network by the data-driven algorithm based on the daily power supply and electricity sales data. Then, the control chart is employed to further monitor the fluctuation of the power loss of each suspected abnormal feeder and discover its abnormal time. Based on the detected abnormal time, its abnormal position is finally located through the risk assessment technology. Numerous experiments based on the real data show that the proposed data-driven combined algorithm can effectively detect and analyze abnormal power loss in the distribution network.

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Section: Introductionmentioning

confidence: 99%

A Data-Driven Combined Algorithm for Abnormal Power Loss Detection in the Distribution Network

Long

Chen

et al. 2020

IEEE Access

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“…Research studies focused on the operational risk of DN mainly contain security risk and economic risk. In terms of security analysis method, it undergoes three stages: deterministic assessment [11,12], probabilistic assessment [13] and risk assessment [14][15][16][17]. Deterministic assessment is used to analyse the reliability level of power system or equipment under a certain expected state.…”

Section: Introductionmentioning

confidence: 99%

“…The probabilistic assessment applies the probability as an evaluation method but it lacks consideration about the severity of a contingency or an emergency. Different from the previous two methods, the operational security risk assessment of DN contains the analysis of probability as well as the severity of extreme events [11]. Probabilistic load flow (PLF) methodology is often applied in the risk assessment to obtain the expectation, variance and distribution of line power or node voltage [8,[18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…Although these studies have some contributions and merits to some extent, the risk indices they defined are a little insufficient so that the operation state of the power system cannot be explicitly understood and grasped. With the deepening development and application of risk theory in power systems, risk identification [11], risk-based optimisation and risk management scheme researches are now on a rise [23][24][25]. Therefore, it is necessary to establish a comprehensive risk indicator system to measure the risk level, which is the basis of risk-based further research studies.…”

Section: Introductionmentioning

confidence: 99%

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Distribution network operational risk assessment and early warning considering multi‐risk factors

Chen

Liu

Yan³

et al. 2020

IET Generation, Transmission & Distribution

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“…To protect the complex power grid control networks of CPPS, it is necessary to perform the risk and vulnerability assessment under cyber-attacks [38][39][40]. The various methods of risk [41][42][43][44] and vulnerability assessment [45][46][47][48] from the component level to systemwide impacts, with cyber model assessment and physical model assessment, are performed. Substantial work on cyber-attack detection and mitigation for CPPS by monitoring the network traffic of the Supervisory Control and Data Acquisition(SCADA)/Phasor Measurement Unit(PMU) system in the power system control centre was performed in [49][50][51][52].…”

mentioning

confidence: 99%

Cyber-Physical Power System (CPPS): A Review on Modeling, Simulation, and Analysis With Cyber Security Applications

Yohanandhan

Elavarasan²,

Premkumar³

et al. 2020

IEEE Access

232

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Cyber-Physical System (CPS) is a new kind of digital technology that increases its attention across academia, government, and industry sectors and covers a wide range of applications like agriculture, energy, medical, transportation, etc. The traditional power systems with physical equipment as a core element are more integrated with information and communication technology, which evolves into the Cyber-Physical Power System (CPPS). The CPPS consists of a physical system tightly integrated with cyber systems (control, computing, and communication functions) and allows the two-way flows of electricity and information for enabling smart grid technologies. Even though the digital technologies monitoring and controlling the electric power grid more efficiently and reliably, the power grid is vulnerable to cybersecurity risk and involves the complex interdependency between cyber and physical systems. Analyzing and resolving the problems in CPPS needs the modelling methods and systematic investigation of a complex interaction between cyber and physical systems. The conventional way of modelling, simulation, and analysis involves the separation of physical domain and cyber domain, which is not suitable for the modern CPPS. Therefore, an integrated framework needed to analyze the practical scenario of the unification of physical and cyber systems. A comprehensive review of different modelling, simulation, and analysis methods and different types of cyber-attacks, cybersecurity measures for modern CPPS is explored in this paper. A review of different types of cyber-attack detection and mitigation control schemes for the practical power system is presented in this paper. The status of the research in CPPS around the world and a new path for recommendations and research directions for the researchers working in the CPPS are finally presented.

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Review of static risk‐based security assessment in power system

Cited by 28 publications

References 50 publications

A Data-Driven Combined Algorithm for Abnormal Power Loss Detection in the Distribution Network

A Data-Driven Combined Algorithm for Abnormal Power Loss Detection in the Distribution Network

Distribution network operational risk assessment and early warning considering multi‐risk factors

Cyber-Physical Power System (CPPS): A Review on Modeling, Simulation, and Analysis With Cyber Security Applications

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