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Immersive virtual reality is to provide participants with a completely immersive experience, which allows users to have a feeling of being in a virtual world.Substation equipment due to long running conditions, so in order to ensure the safe and stable operation of electrical equipment, in practice often require the operators to make regular or irregular patrol inspection was carried out on the field devices or use red line temperature measurement method to monitor the running status of equipment.Visualized substation inspection training system can make staff have a very convenient and scientific work platform when carrying out equipment inspection, so as to improve the quality of equipment inspection work.In this paper, from the analysis of substation inspection work and the establishment of inspection system as a starting point, to the application of visual substation inspection training system for the purpose of comprehensive analysis of visual substation inspection training system in the daily work of the advantages.

Aiming at the problems of poor data opening and sharing ability and closed application ecology of substation integrated monitoring system, the open monitoring system of a substation based on platform + APP architecture is proposed, which realizes the decoupling of APP and the monitoring system vendor platform through the security reinforced container technology, unified data interaction technology, and data service-oriented middleware technology. The decoupling of APP and platform promotes the construction of an open and shared industrial ecosystem for substation-integrated monitoring systems, which in turn improves the level of substation intelligence.

With the continuous expansion of the scale of modern power grid and the upgrading of equipment management requirements, monitoring specialty is facing greater challenges. Substation automation system acceptance workload is also gradually expanding. When a large number of signals need to be checked and accepted, the workload of checking signals will naturally increase. When the substation data monitored by the dispatching control center increases, there are too many signals to be checked and accepted. This leads to some problems in the normal monitoring of power grid. The signal in the acceptance is analyzed, and the signal is identified according to the frequency of transmission of the signal and the relevant grid time. Substation automation is based on the user terminal project, and the acceptance requirements will be based on the operation, coordination, scheduling, measurement and maintenance. To cut the passage of the old automation system to the new automation system, care must be taken to prevent data jumps and channel interruptions during the cutting process. The automation system operation technology is constantly developing, and the demand for automation personnel is constantly improving.

Cybersecurity in Critical Infrastructures, especially Digital Substations, has garnered significant attention from both the industrial and academic sectors. A commonly adopted approach to support research in this area involves the use of datasets, which consist of network traffic samples gathered during the operation of an infrastructure. However, creating such datasets from real-world electrical systems presents some challenges: (i) These datasets are often generated under controlled or idealized conditions, potentially overlooking the complexities of real-world operations within a digital substation; (ii) the captured data frequently contain sensitive information, making it difficult to share openly within the research community. This paper presents the creation of a new dataset aimed at advancing cybersecurity research, specifically focused on GOOSE spoofing attacks, given the crucial role of the GOOSE protocol in managing operational and control tasks within Digital Substations. The dataset highlights the real-world impacts of these attacks, demonstrating the execution of unintended operations under different operational scenarios, including both stable conditions and situations involving system failures. The data were collected from a laboratory testbed that replicates the actual functioning of a real digital substation with two bays. The experiments provided insights into key characteristics of GOOSE protocol traffic and the vulnerability of DS infrastructure to Spoofing Attacks.

The demand for autonomy and controllability of substations is increasing, and there is still a lack of specific methods to evaluate the degree of autonomy and controllability of secondary substation equipment. Given the above situation, firstly, the principle of an autonomous and controllable evaluation system is established. On this basis, the factors affecting the autonomous and controllable level of equipment are analyzed in depth, and the specific evaluation indicators of the autonomous and controllable degree of secondary equipment are determined. Then the fuzzy comprehensive evaluation method is used to establish the evaluation model of the degree of autonomy and controllability of secondary substation equipment. Finally, the specific examples are evaluated. The results show that the autonomous and controllable degree of the equipment has indeed increased after the autonomous and controllable improvement, which verifies the accuracy of the evaluation model. The evaluation model can also provide direction and guidance for the autonomous and controllable improvement of secondary equipment in substations.

The generation of the mix-based expansion of modern power grids has urged the utilization of digital infrastructures. The introduction of Substation Automation Systems (SAS), advanced networks and communication technologies have drastically increased the complexity of the power system, which could prone the entire power network to hackers. The exploitation of the cyber security vulnerabilities by an attacker may result in devastating consequences and can leave millions of people in severe power outage. To resolve this issue, this paper presents a network model developed in OPNET that has been subjected to various Denial of Service (DoS) attacks to demonstrate cyber security aspect of an international electrotechnical commission (IEC) 61850 based digital substations. The attack scenarios have exhibited significant increases in the system delay and the prevention of messages, i.e., Generic Object-Oriented Substation Events (GOOSE) and Sampled Measured Values (SMV), from being transmitted within an acceptable time frame. In addition to that, it may cause malfunction of the devices such as unresponsiveness of Intelligent Electronic Devices (IEDs), which could eventually lead to catastrophic scenarios, especially under different fault conditions. The simulation results of this work focus on the DoS attack made on SAS. A detailed set of rigorous case studies have been conducted to demonstrate the effects of these attacks.

With the continuous development and improvement of power grid technology, intelligence has become the development goal of power grid technology. By designing an intelligent substation inspection system, simplifies the operational tasks of inspectors, and makes inspection of power equipment more accurate, efficient, and traceable. In the implementation of the system, the mobile terminal is responsible for the collection, input, and upload of inspection data, and the server completes the data reception and statistics and displays it visually. And the application of the case proves that the intelligent patrol system is convenient and quick to operate, the social and economic benefits produced are significant, and it has strong practicability.

With the development of computer VR technology, our country has applied VR virtual technology to the scale of power grids.This allows the system to achieve self-intelligent inspection when no one is on duty,and the detection data will be displayed efficiently.This paper mainly studies the intelligent inspection scenarios and system processes of substations.

The operation status of the transformer in the substation is changeable, and the evaluation index can not be determined, which leads to an increase in evaluation error. The evaluation method of the electronic transformer based on a high-dimensional random matrix is studied and analyzed. A comprehensive evaluation of the needs and standards and analysis of the evaluation characteristics are targeted to clear the evaluation index and calculate the threshold, build a high-dimensional random matrix state assessment model, and use the wide-area measurement processing method to achieve state assessment. The test results show that the final evaluation error of the method is only 0.82, which is well controlled below 1. It indicates that in the process of practical application, the evaluation speed is fast, the accuracy is high, and the links are simplified, which has practical application value.