A holistic review on Cyber-Physical Power System (CPPS) testbeds for secure and sustainable electric power grid – Part – I: Background on CPPS and necessity of CPPS testbeds

Yohanandhan, Rajaa Vikhram; Elavarasan, Rajvikram Madurai; Pugazhendhi, Rishi; Premkumar, M.; Mihet‐Popa, Lucian; Terzija, Vladimir

doi:10.1016/j.ijepes.2021.107718

Cited by 16 publications

(4 citation statements)

References 183 publications

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“…With the ever-increasing demand of electricity, highspeed connectivity and automation can give high reliability, safety and better protection for electric power grid [38]- [39]. As a new infrastructure, 5G network is very clear and guarantee smart distribution network operation for another 5-10 years [40]- [41].…”

Section: Artificial Intelligence In 5g Network Data Communicationmentioning

confidence: 99%

Artificial Intelligence and its applications in Renewable Integrated Power Systems

E.R.¹,

Joy²,

Bansal³

et al. 2022

Preprint

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Electric power system is undergoing major changes, due to large-scale integration of renewable energy, complicated network structure and increased energy demand. Developing autonomous systems, intelligent and digital communication technologies are becoming more and more urgent to modernize, strengthen and stabilize the power grid. Among several innovative efforts, artificial intelligence (AI) is becoming more popular due to its human like thinking logic, advanced wisdom, reasoning, learning capability and knowledge representation. AI approaches have demonstrated precise, faster and scalable outcomes, thus can be ideal to handle complex non-linear power systems. The recent technological developments in AI and hybrid techniques, makes it possible for solving large-scale complex power systems problems like control, planning, scheduling, prediction etc. This article has briefly discussed seven major areas, where AI has been used easily to handle constraints such as power system stability assessments, power system forecasting studies, power quality problems, optimization of generation scheduling, 5G network data communications, SCADA intrusion detection and transformer fault identification.

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Section: Artificial Intelligence In 5g Network Data Communicationmentioning

confidence: 99%

Artificial Intelligence and its applications in Renewable Integrated Power Systems

E.R.¹,

Joy²,

Bansal³

et al. 2022

Preprint

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“…An increasing number of sensors have been installed in novel power systems [6]. Tese sensors bring a huge amount of data to the dispatch center [7].…”

Section: Introductionmentioning

confidence: 99%

Multilayer Deep Deterministic Policy Gradient for Static Safety and Stability Analysis of Novel Power Systems

Long

Zhao

et al. 2023

International Transactions on Electrical Energy Systems

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More and more renewable energy sources are integrated into novel power systems. The randomness and fluctuation of such renewable energy sources bring challenges to the static stability and safety analysis of novel power systems. In this work, a multilayer deep deterministic policy gradient is proposed to address the fluctuation of renewable energy sources. The proposed method is stacked with multilayer deep reinforcement learning methods that can be continuously updated online. The proposed multilayer deep deterministic policy gradient is compared with other deep learning algorithms. The feasibility, effectiveness, and superiority of the proposed method are verified by numerical simulations.

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“…The conventional electrical power system consists of a wide range of artificial physical systems, including electrical facilities, transmission, generation, and distribution. The conventional electrical power system has been tightly linked with the power communication system throughout the decades of development in computer, control, and communication technologies, eventually evolving into a highly coupled cyber-physical power system (CPPS) [1][2][3]. The stability of information systems, particularly various communication and control devices, may be impacted by the occurrence of natural disasters, primary equipment failure, and other anthropogenic factors.…”

Section: Introductionmentioning

confidence: 99%

“…They are the conventional power system, the hardware layer, and the communication network [9,10]. The first layer is concerned with the conventional electrical power system, which includes generation, transmission, distribution, substation, and consumption [1,2,9,11]. The hardware layer provides a physical medium for effective and reliable power information transmission [12], including sensors, transmission, auxiliary equipment, communication lines, and other physical facilities required for various transmission modes.…”

mentioning

confidence: 99%

Digital twin‐based online tools for electric power communication system training: Online digital twin power communication system

Guan

Lei

et al. 2022

IET Generation Trans & Dist

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Electric power information has garnered particular interest in conventional electrical power systems because it plays a crucial role in the electric power industry. Additionally, electric power communication networks ensure the overall power system's reliability and safety. The concepts and techniques used in digital twin (DT)‐based online tools for electric power communication networks are introduced in this paper. Moreover, online DT tools are proposed as daily learning and training resources for both new staff and communication commissioners, which can be used for the internet and the company intranets. Users can control DT and physical equipment simultaneously, and device status can be seen in real time. The design, modelling, control principles, data collection, and visual display of the DT tools are all covered in this study. To validate the applicability of the proposed framework, a case study for optical fibre damage and the recovery process in a typical communication interruption malfunction is investigated. The research presented in this paper has the potential to provide useful tools and new paradigms for designing online DT training and education systems.

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A holistic review on Cyber-Physical Power System (CPPS) testbeds for secure and sustainable electric power grid – Part – I: Background on CPPS and necessity of CPPS testbeds

Cited by 16 publications

References 183 publications

Artificial Intelligence and its applications in Renewable Integrated Power Systems

Artificial Intelligence and its applications in Renewable Integrated Power Systems

Multilayer Deep Deterministic Policy Gradient for Static Safety and Stability Analysis of Novel Power Systems

Digital twin‐based online tools for electric power communication system training: Online digital twin power communication system

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