Delay-dependent Stability Analysis of Microgrid with Constant and Time-varying Communication Delays

Mary, T. Jesintha; Parthasarathy, R.

doi:10.1080/15325008.2016.1170078

Cited by 35 publications

(15 citation statements)

References 25 publications

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“…Reference [12] studies microgrid stability through eigenvalue analysis, which unfortunately is not eligible for microgrids under distributed control with communication latency. Papers [13]- [16] investigate the small-signal stability of microgrids with distributed control by solving delay differential equations (DDEs), which is hard to represent system performance without gain and phase margins, and difficult to address different latencies in different communication edges. Authors of [17] derive a latency threshold using the Lyapunov-Krasovkii function but only consider frequency regulation.…”

mentioning

confidence: 99%

Small-Signal Stability Analysis and Performance Evaluation of Microgrids Under Distributed Control

Yan

Shi

Bian

et al. 2019

IEEE Trans. Smart Grid

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Distributed control, as a potential solution to decreasing communication demands in microgrids, has drawn much attention in recent years. Advantages of distributed control have been extensively discussed, while its impacts on microgrid performance and stability, especially in the case of communication latency, have not been explicitly studied or fully understood yet. This paper addresses this gap by proposing a generalized theoretical framework for small-signal stability analysis and performance evaluation for microgrids using distributed control. The proposed framework synthesizes generator and load frequency-domain characteristics, primary and secondary control loops, as well as the communication latency into a frequency-domain representation which is further evaluated by the generalized Nyquist theorem. In addition, various parameters and their impacts on microgrid dynamic performance are investigated and summarized into guidelines to help better design the system. Case studies demonstrate the effectiveness of the proposed approach.

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mentioning

confidence: 99%

Small-Signal Stability Analysis and Performance Evaluation of Microgrids Under Distributed Control

Yan

Shi

Bian

et al. 2019

IEEE Trans. Smart Grid

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“…But in the case of the AC power flow model, the non-linear equations of the state estimation model are robust to this type of attack, which is advantageous to the system operator only if the attacker does not know system data, which would allow the attacker to perform the attack analysis. If an attacker is well aware of the system data, then he could be able to execute an attack that is unnoticed through AC state estimation [131].…”

Section: (I) Analytical Modelmentioning

confidence: 99%

“…It utilizes the measurements from PMU, but the communication delays between the PMU and the control centre are significant, which affects the CPPS stability. In [131,132], the authors have utilized the delay-dependent stability analysis method for eigenvalue analysis of CPPS. The CPPS is modelled by the directed graph method, and using the dynamic system equation, the state information of each power node is determined [74].…”

Section: (Ii) Dynamic System Based Modelsmentioning

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

206

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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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“…Several methods are available to calculate the maximum value of time delay that promises the stability of the system in the literature. In [28], based on the frequency domain approach, a direct method is proposed. In [29], based on the gain and phase margin of the system, maximum time delay is found.…”

Section: Communication Time‐delay In Frequency Control Systemsmentioning

confidence: 99%

Robust PI controller design for frequency stabilisation in a hybrid microgrid system considering parameter uncertainties and communication time delay

Veronica¹,

Kumar²,

González-Longatt

2019

IET Generation, Transmission & Distribution

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Delay-dependent Stability Analysis of Microgrid with Constant and Time-varying Communication Delays

Cited by 35 publications

References 25 publications

Small-Signal Stability Analysis and Performance Evaluation of Microgrids Under Distributed Control

Small-Signal Stability Analysis and Performance Evaluation of Microgrids Under Distributed Control

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

Robust PI controller design for frequency stabilisation in a hybrid microgrid system considering parameter uncertainties and communication time delay

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