A holistic review on Cyber-Physical Power System (CPPS) testbeds for secure and sustainable electric power grid – Part – II: Classification, overview and assessment of CPPS testbeds

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

doi:10.1016/j.ijepes.2021.107721

Cited by 16 publications

(4 citation statements)

References 73 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]. Figure 3 shows the communication between electricity providers and users.…”

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

View full text Add to dashboard Cite

show abstract

“…As an effective technical means, the carbon verification data mining algorithm can help realize the coordinated dispatching of power grid energy consumption side through the analysis and mining of power grid energy consumption data [1]. Traditional power system scheduling methods mainly focus on the supply side, ignoring the potential optimization space of the energy side [2][3]. However, with the advancement of energy transformation, the power system should be more flexible to meet the challenges of renewable energy fluctuation and load change.…”

Section: Introductionmentioning

confidence: 99%

Collaborative scheduling method of power grid energy side based on carbon verification data mining algorithm

Yan,

Jiang,

Ren

2024

J. Phys.: Conf. Ser.

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In the process of the collaborative scheduling of the grid energy-consuming side, the voltage value is low, and the utilization rate of collaborative scheduling resources of the grid energy-consuming side is poor. Therefore, a collaborative scheduling method for the grid energy-consuming side based on a carbon verification data mining algorithm is proposed. Based on the structure of the data management system, the related data structure lookup formula is set to determine the collaborative scheduling task data of the power grid energy side. Under the carbon verification data mining algorithm, the power grid topology structure is constructed, the scheduling target parameters are processed, and the coordinated scheduling of the power grid energy side is realized. The experimental results show that this method can effectively improve the voltage value of each node, and the voltage value of all nodes can reach above the qualified value and improve the utilization rate and energy-saving performance, which has a certain effectiveness.

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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 – II: Classification, overview and assessment of CPPS testbeds

Cited by 16 publications

References 73 publications

Artificial Intelligence and its applications in Renewable Integrated Power Systems

Artificial Intelligence and its applications in Renewable Integrated Power Systems

Collaborative scheduling method of power grid energy side based on carbon verification data mining algorithm

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

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