Power Control for Grid-Connected Converter to Comply With Safety Operation Limits During Grid Faults

Gu, Shida; Du, Xiaoze; Song, Ying; Sun, Pengju; Tai, Heng–Ming

doi:10.1109/jestpe.2018.2888552

Cited by 17 publications

(7 citation statements)

References 25 publications

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“…, where c represents the c trunk and is used to predict the 2D vector field of partial affinity. F represents the local regional affinity PAF between key points and key points, as shown in (1).…”

Section: Key Point Detection Network Based On Openposementioning

confidence: 99%

“…where, 1  and t  are the prediction networks of PCM in the first and t -th stage, respectively. 1  and t  are the prediction networks of the first and t -th stage PAF, respectively.…”

Section: Key Point Detection Network Based On Openposementioning

confidence: 99%

“…Power accidents can not only cause personal injury, but also affect the stable operation of the power system [1,2]. In order to ensure the life safety of power operators, the electric power industry has formulated comprehensive safety work procedures, and trained operators before they take up their posts to standardize their behavior and operation to improve their safety quality [3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Power operator behavior recognition method based on deep learning

Liu,

Qin,

Yang

et al. 2023

International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023)

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Section: Key Point Detection Network Based On Openposementioning

confidence: 99%

Section: Key Point Detection Network Based On Openposementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Power operator behavior recognition method based on deep learning

Liu,

Qin,

Yang

et al. 2023

International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023)

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“…Again, the proposed solutions certainly do not provide optimal voltage support in the general case. On the other hand, several papers deal with purely inductive grids [6], [7], [8], [9]. Since distribution networks and microgrids can actually be more resistive, these solutions can be applied only in transmission grids.…”

Section: Introductionmentioning

confidence: 99%

Mitigation of Voltage and Frequency Excursions in Low-Inertia Microgrids

et al. 2023

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Power systems proliferated by distributed generation sources are becoming increasingly prone to frequency and voltage disturbances. These problems are exacerbated in microgrids since they have fewer intrinsic disturbance-rejecting measures and features. To increase the reliability and stability of emerging power systems, the advanced control structures of the distributed generation sources based on power electronics devices must be deployed during suboptimal operating conditions. The aggravating circumstance is that both voltage and frequency excursion can be transient and long-lasting and consequently can occur simultaneously. The algorithm proposed in this paper integrates voltage support (nominal voltage restoration) and inertia emulation features with the comprehensive current references management scheme, thus securing improved grid operating conditions during several different faults and occurrences. The control algorithm is developed and tested in the context of a small microgrid, but it can be applied with minimal alterations in traditional grids, also. To prove that it is possible to decrease simultaneously voltage unbalances and frequency deviations, a test microgrid consisting of a synchronous generator, photovoltaic system, battery storage system, and controllable balanced and unbalanced loads was developed in a hardware-in-the-loop environment.

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“…At this level, the communication should be isochronous for the fixed packet size at a fixed rate [10]. The power converter components can be subjected to numerous serious threats, attacks, faults, false data injection attacks, unpredicted failures, and cyber-physical switching attacks [11]. As an example of the power electronics applications, the machine drives typically comprise speed or torque reference feedback signals for the process optimization.…”

Section: Introductionmentioning

confidence: 99%

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

et al. 2021

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This paper presents an inclusive review of the cyber-physical (CP) attacks, vulnerabilities, mitigation approaches on the power electronics and the security challenges for the smart grid applications. With the rapid evolution of the physical systems in the power electronics applications for interfacing renewable energy sources that incorporate with cyber frameworks, the cyber threats have a critical impact on the smart grid performance. Due to the existence of electronic devices in the smart grid applications, which are interconnected through communication networks, these networks may be subjected to severe cyber-attacks by hackers. If this occurs, the digital controllers can be physically isolated from the control loop. Therefore, the cyber-physical systems (CPSs) in the power electronic systems employed in the smart grid need special treatment and security. In this paper, an overview of the power electronics systems security on the networked smart grid from the CP perception, as well as then emphases on prominent CP attack patterns with substantial influence on the power electronics components operation along with analogous defense solutions. Furthermore, appraisal of the CPS threats attacks mitigation approaches, and encounters along the smart grid applications are discussed. Finally, the paper concludes with upcoming trends and challenges in CP security in the smart grid applications.

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Power Control for Grid-Connected Converter to Comply With Safety Operation Limits During Grid Faults

Cited by 17 publications

References 25 publications

Power operator behavior recognition method based on deep learning

Power operator behavior recognition method based on deep learning

Mitigation of Voltage and Frequency Excursions in Low-Inertia Microgrids

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

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