Modern power system reliability assessment with cyber‐intrusion on heat pump systems

Gunduz, Hasan; Jayaweera, Dilan

doi:10.1049/iet-stg.2020.0094

Cited by 6 publications

(3 citation statements)

References 29 publications

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“…In demand response, this means that agents can regulate and aggregate the characteristics of individual loads of LAs. The MAS can also use network topology to seek collaborative solutions for optimization problems, conduct joint regulation among agents, and build hierarchical optimization systems [23,24].…”

Section: Hierarchical Optimization Model For Drmentioning

confidence: 99%

Demand Response Strategy Based on the Multi-Agent System and Multiple-Load Participation

Zeng,

Xu,

Zhu

2024

Sustainability

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In order to improve the utilization of user-side power resources in the distribution network and promote energy conservation, this paper designs a distributed system suitable for power demand response (DR), considering multi-agent system (MAS) technology and consistency algorithms. Due to the frequent changes in the power system structure caused by changes in the load of a large number of users, this paper proposes using cluster partitioning indicators as communication weights between agents, enabling agents to utilize the distribution network for collaborative optimization. In order to achieve the integration of multiple load-side power resources and improve the refinement level of demand-side management (DSM), two types of agents with load aggregator (LA) functions are provided, which adopt the demand response strategies of Time-of-Use (TOU) or Direct Load Control (DLC) and model the uncertainty of individual device states using Monte Carlo method, so that the two typical flexible loads can achieve the target load-reduction requirements under the MAS framework. The research results demonstrate that this method achieves complementary advantages of the two types of loads participating in DR on a time scale, reducing the costs of power companies and saving customers’ electricity bills while peak shaving.

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Section: Hierarchical Optimization Model For Drmentioning

confidence: 99%

Demand Response Strategy Based on the Multi-Agent System and Multiple-Load Participation

Zeng,

Xu,

Zhu

2024

Sustainability

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“…Existing detection methods for FDI attacks can be divided into two categories: data-driven methods and model-based methods [10]. By analyzing the characteristics of the history data in power systems, various data-driven detection methods are studied [11][12][13][14][15][16][17][18]. In [11], Raj et al, proposed a novel machine learning detection method for malicious attacks based on threshold and aggregation.…”

Section: Related Workmentioning

confidence: 99%

“…A novel anomaly detection strategy against malicious attacks was proposed in [14]. In [15], an innovative detection algorithm against malicious attacks based on the Markov chain was proposed. The proposed method can shed light on the security of smart grids.…”

Section: Related Workmentioning

confidence: 99%

A Novel Detection and Identification Mechanism for Malicious Injection Attacks in Power Systems

Zhang,

Wang,

Ban

et al. 2023

Symmetry

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The integration of advanced sensor technology and control technology has gradually improved the operational efficiency of traditional power systems. Due to the undetectability of these attacks using traditional chi-square detection techniques, the state estimation of power systems is vulnerable to cyber–physical attacks, For this reason, this paper presents a novel detection and identification framework for detecting malicious attacks in power systems from the perspective of cyber–physical symmetry. To consider the undetectability of cyber–physical attacks, a physical dynamics detection model using the unknown input observers (UIOs) and cosine similarity theorem is proposed. Through the design of UIO parameters, the influence of attacks on state estimation can be eliminated. A cosine similarity value-based detection criterion is proposed to replace the traditional detection threshold. To further cut down the effects caused by malicious attacks, an observer combination-based attack identification framework is established. Finally, simulations are given to demonstrate that the proposed security method can detect and identify the injected malicious attacks quickly and effectively.

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Real-time detection of stealthy IoT-based cyber-attacks on power distribution systems: A novel anomaly prediction approach

Sawas

Farag

2023

Electric Power Systems Research

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Modern power system reliability assessment with cyber‐intrusion on heat pump systems

Cited by 6 publications

References 29 publications

Demand Response Strategy Based on the Multi-Agent System and Multiple-Load Participation

Demand Response Strategy Based on the Multi-Agent System and Multiple-Load Participation

A Novel Detection and Identification Mechanism for Malicious Injection Attacks in Power Systems

Real-time detection of stealthy IoT-based cyber-attacks on power distribution systems: A novel anomaly prediction approach

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