Power Grid Business Research Articles

Research on Network Security Protection Technology Based on P2AEDR in New Low-Voltage Control Scenarios for Power IoT and Other Blockchain-Based IoT Architectures.

In the construction of new power systems, the traditional network security protection mainly based on boundary protection belongs to static defense and still relies mainly on manual processing in vulnerability repair, threat response, etc. It is difficult to adapt to the security protection needs in large-scale distributed new energy, third-party aggregation platforms, and flexible interaction scenarios with power grid enterprise systems. It is necessary to conduct research on dynamic security protection models for IoT and other Blockchain-based IoT architectures. This article proposes a network security comprehensive protection model P2AEDR based on different interaction modes of cloud-edge interaction and cloud-cloud interaction. Through continuous trust evaluation, dynamic access control, and other technologies, it strengthens the internal defense capabilities of power grid business, shifting from static protection as the core mode to a real-time intelligent perception and automated response mode, and ultimately achieving the goal of dynamic defense, meeting the security protection needs of large-scale controlled terminal access and third-party aggregation platforms. Meanwhile, this article proposes a dynamic trust evaluation algorithm based on deep learning, which protects the secure access and use of various resources in a more refined learning approach based on the interaction information monitored in the system. Through experimental verification of the dynamic trust evaluation algorithm, it is shown that the proposed model has good trust evaluation performance. Therefore, this research is beneficial for trustworthy Power IoT and other Blockchain-based IoT architectures.

Credit ability evaluation system of power selling enterprises based on big data

With the gradual relaxation of the electricity market access threshold, the development pattern of market-oriented electricity sales has brought great challenges to the power grid business development. It is of great significance to select the right electricity selling enterprises in the market-oriented electric power marketing mode to ensure the practical demand of electricity customers and the operating efficiency of power grid enterprises. First, the basic characteristics of power big data are analyzed. Secondly, it classifies and analyzes the important factors that affect the performance credit of electricity selling enterprises under the new electricity transformation environment. By normalizing different types of key index data and assigning index weights, a credit ability evaluation model of electricity selling enterprises based on matter-element extension-TOPSIS is established. Finally, taking eight electricity selling enterprises in a province as an example, the credit ability evaluation model is applied to analyze and calculate the performance ability of different electricity selling enterprises. The results prove the practicability of the evaluation system proposed in this paper.

Intelligent scheduling and optimization of microenergy grid: the application and development of computer technology

Abstract For the intelligent management of micro-energy grid, the limitations of traditional scheduling optimization methods have begun to be highlighted, and computer technology has become a new generation of power system support means. This paper proposes a state estimation method based on smart grid measurement technology, and for the characteristics of micro-energy grid anomaly data, adopts the sampling value detection anti-anomaly data method based on amplitude comparison to estimate the grid dynamic process. Based on the grid state estimation dataset, a smart grid scheduling strategy based on cloud computing is constructed. The conditional value-at-risk of the penalty function of generation cost, grid cost, and motion cost is used as the objective function of the dispatch modeling, and the solution method for the optimization of the value-at-risk model is provided. Finally, an example has been built for this dispatch model to access a simulated micro-energy grid system that contains multiple nodes. The results show that the error between the voltage amplitude obtained from the dynamic state estimation of the micro-energy grid using the method of sampled-value detection against anomalous data and the real value is no more than 0.5%, and the data scheduling error rate of the cloud computing does not fluctuate significantly when dealing with a large number of scheduling data tasks, all of which are controlled to be below 0.0015. The scheduling strategy based on cloud computing has a certain degree of generalization when dealing with random and variable source and load scenarios, which can effectively improve the level of power grid business applications and complete the corresponding intelligent scheduling.

Anti-interference Technology of Multi-type Data Acquisition and Transmission Based on HPLC

With the development of the social economy, electricity consumption increases rapidly. A large amount of real-time electricity consumption data plays an important role in analyzing the power grid business. Monitoring power consumption performance through electricity consumption data is also an important indicator to improve power grid performance. By analyzing the characteristics of HPLC channels, such as capacitance characteristics, frequency loss characteristics, signal-to-noise ratio characteristics, line icing, and noise interference, the critical values of data transmission distortion caused by the characteristics of each channel were summarized. On this basis, it is concluded that suitable filters and amplifiers should be selected to improve the signal-to-noise ratio and the transmission quality of HPLC signals. Therefore, an anti-interference technology for data transmission based on HPLC is proposed. Finally, the application advantages and existing problems of HPLC technology in three-stream integration data acquisition and transmission are further explored.

Retracted: Design of Question Answering Interactive Open Platform for Power Grid Business Acceptance Robot

Retracted: Design of Question Answering Interactive Open Platform for Power Grid Business Acceptance Robot

Research on transformer internal defect detection based on large scale model

Aiming at the problem that the traditional convolution network can not be used to detect and identify targets in the more complex target detection application scenarios in power grid business, a target detection scheme based on the ability of large model is proposed. The effects of convolution neural network layers, convolution kernel size and feature dimension on the recognition effect are systematically analyzed and compared. The differences between traditional convolution network and large model in data volume, accuracy and model construction efficiency are compared. The experimental results show that for the specific target detection business scenario downstream of power grid, the model constructed by this scheme has the advantages of fast and efficient, high accuracy and less data dependence, and the comprehensive performance is better than the traditional convolution network detection method.

The situation analysis on market-oriented selection and employment of talents in power grid business

Talent is the "first resource" for state-owned enterprises to achieve high-quality development. Only by following the law of market economy can we realize the optimal allocation of talent elements and play the maximum value. The government has repeatedly stressed that it should not only introduce local talents from regions, but also seek all development talents, use good talents without sticking to one pattern, and gather talents from all over the world. The construction of market-oriented selection and employment mechanism is an important measure to implement the reform of state-owned enterprises. It is of great significance to improving the market-oriented operation mechanism of SOEs, stimulating the development vitality and endogenous impetus of SOEs, and promoting the high-quality development of SOEs. From the perspective of internal and external reform and development situation, this paper analyses the new requirements and challenges of the reform of state-owned enterprises and the market-oriented selection and employment of power grid business, and further clarifies the direction and policy requirements of the construction of the market-oriented selection and employment mechanism. The importance and necessity to promote market-oriented selection and employment mechanism are comprehensively and systematically expounded.

Digital power grid based on digital twin: Definition, structure and key technologies

Under the background of the 4th industrial revolution, digital twin technology has been constantly integrated with the power grid business. Power grid will build a digital twin grid covering the whole physical grid and production process. This paper first proposes the digital power grid based on digital twin. A closed-loop power grid data empowerment system is introduced to define the digital power grid based on digital twin, the three features and properties are described to enrich the digital power grid connotation. It constructs the digital power grid architecture including physical power grid, perception layer, transport layer, data layer, platform layer and application layer. The key technologies are also discussed to embody digital power grid.

Design of Question Answering Interactive Open Platform for Power Grid Business Acceptance Robot

In order to improve the matching degree between answers and questions of the power grid business acceptance robot question answering platform, an interactive open platform for power grid business acceptance robot question answering is designed. Firstly, an open platform of questions and answers interaction with data layer and information retrieval layer as the main body is constructed. To improve the question and answer interactive open platform database, the data layer is divided into three modules: data collecting, database setup, and data storage. At the same time, the information retrieval layer is divided into user input, answer display, query expansion, and information retrieval modules. To improve the retrieval accuracy, the corresponding answers are matched by using the similarity between questions and documents in the information retrieval module, and finally, the design of the question and answer interactive open platform of power grid business acceptance robot is realized. The experimental results demonstrate that the designed platform’s service acceptance accuracy is high, the AUC curve is low, and the degree of matching between replies and queries is high.

A dual-role hierarchical RBAC extended security model based on department attributes and its application

In order to overcome the problems of the classic RBAC model, such as user identity cannot be verified, role assignment conflicts, permission leakage, complicated roles and permissions configuration, etc., this paper proposes a dual-role hierarchical RBAC extended security model based on department attributes. Firstly, based on the identity authentication mechanism, the legality of the user identity used by the system and its department attributes are authenticated, and the legal identity users are associated with their departments. Then, the roles were divided into responsibility roles and system roles in the classic RBAC model, which are defined by the system administrator is responsible for configuring system roles according to the permission control requirements of resources and operations in the system. The person in charge of the department to which the user belongs configures the role for the user according to the actual work responsibilities of each user, and the person in charge of the department is responsible for the relationship between the role and the system. Finally, this dual-role hierarchical RBAC extended security model based on department attributes is applied to the authority management scheme of a power grid business system. The security analysis and practical results show that this dual-role hierarchical RBAC extended security model based on department attributes is a system rights management solution with strong security and practicability.

The Impact of Energy Internet Enterprise Construction on Power Grid Business Organization Mechanism

The construction of Energy Internet enterprises by power grid enterprises is a key decision for power grid enterprises to grasp the major strategic opportunities, and a key measure for power grid enterprises to deeply understand the internal and external strategic situation and continuously lead of the transformation and development of energy and power. As the core measure, the construction of operation mechanism of power grid business organization needs to clearly study and judge the external environmental factors’ new situation, new influence and new requirements faced by the construction of Energy Internet enterprises such as policies, market, technology, so as to deeply grasp the opportunities and challenges faced by the construction of Energy Internet enterprises.

Clustering analysis method of power grid company based on K-means

With the development of network and the expansion of power grid business, the power grid traffic becomes more and more complex and huge. It is more and more difficult to identify the power grid business through the traffic, and the identification accuracy also needs to be improved. In order to solve this problem, this paper proposes a clustering scheme based on K-means to classify the power grid business through the grid traffic, using elkan K-means algorithm improves the efficiency of the algorithm and finds the most suitable K value for power grid business data.

Research on Operation Mechanism optimization framework of Power Grid Business Organization under the new circumstances

The construction of Energy Internet enterprises drives the deep coupling between external power supply service and internal specialty synergiztion of Power Grid Enterprises. Based on the situation of Energy Internet construction and the requirements of “strong front-end, big back-end” platformized organization mode,this paper explores and puts forward the framework of operation mechanism optimization of power grid business organization, which can provide reference for power grid enterprises to promote organizational reform.

Research on Data Management of Power Grid Enterprises Based on Data Middle Platform

At present, the construction process of power grid enterprise information system mainly adopts the “vertical integration” system structure, with high construction cost, long period, non-sharing of data and low quality. By introducing the concept of data middle platform.to reaggregate and reconstruct unified supervision of enterprise data, it provides accurate and reliable, shareable and reusable data application services with business logic for front-end business, and realizes intelligent interconnection and data sharing in all aspects of power system. This paper puts forward the idea of data center, and puts forward data management methods from master data, data warehouse and metadata management respectively, so as to provide data service support for the development of power grid business towards intelligent and efficient direction.

ENMFM Algorithm Applicable for the Multi-Source Heterogeneous Data Source Model of Power Grid Regulatory Cloud Platform

With the rapid development of the intelligent grid technology and the arrival of the informationalized big data era, the application of computing method to power grid specialty will be a key step for the value of power grid data. Grid data record is not standard, the confusion caused by a device with multiple recording, professional equipment for power grid name recognition and use of data and algorithm based on identification service work will gradually replace artificial recognition, this paper presents a ENMTM algorithm with the grid raw data, which can identify accurately the same equipment with different names.The equipment name record is an important data of power grid business scenario, however, the same device is easy to describe in different situations or staff’s records, which causes data redundancy and equipment confusion caused by error identification of equipment name. The name recognition is to segment the device name string into a structured element unit which can be calculated by the computer, so as to realize the identification of multiple words with one meaning and devices with different names. In this paper, we study the recognition algorithm of recognition, the establishment of professional word library, segmentation and calculation of similarity recognition. The results show that the ENMFM result error rate is only 3.13%, on the basis of segmentation results and the confusion matrix of device name similarity can be seen that the positive samples has good prediction. In addition, in the experiment, the Top N items of higher similarity were given, which provided the staff with professional judgment to ensure the rigor of work.The calculation method to solve the name recognition of power equipment can greatly reduce the human work of identifying equipment, improve the work efficiency of power professional business scenarios, and lay a solid foundation for the unified data environment of intelligent grid.

Study on the Unified Data of Power Regulation System for Guizhou Power Grid

The grid structure of the Guizhou Power Grid is becoming more and more complex, and the deepening of regulatory integration has made the information and work of regulators more and more onerous. Combining artificial intelligence, big data technology and grid control business is an inevitable trend of development. In this paper, a unified data model of the power system is established based on the Guizhou power grid’s regulatory operation requirements. It can analyze the impact of big data on dispatching business and define the power business demand model in the big data environment. This model also integrates and manages the multi-source heterogeneous data of power grid business by reflecting data and relationships of power regulation business. The research results are of great significance to improve the level of safe and stable operation of the power grid, and to promote intelligent operation of regulation and control, and also lay a solid foundation for intelligent dispatch.

Research on discrimination algorithm of electric energy substitution user based on logistic regression model

The current power grid is found with low visiting efficiency, information integration difficulty and other problems in case of promotion of electric energy substitution. The big data technology is featured by high efficiency, high speed and convenience in terms of information processing, so it can realize the precise localization and differentiated marketing objectives of each enterprise. This paper, based on the analysis of energy consumption status of current power grid user and by means of “industry-field-user” architectural analysis, classifies user as per industry and equipment characteristics and combines with existing data of current power grid to exploit the energy consumption and electricity use characteristics of electric energy substitution user and build discrimination model of electric energy substitution user so as to improve the working efficiency and economic benefit of power grid business.

Research on Security Framework of Mobile Application in Dispatch and Control Domain of Power Grid

The rapid development of mobile Internet technology and the wide spread of smart terminals have brought opportunities for the transformation of power grid business model. Compared to the non-real-time information, the real-time and running data of dispatch and control domain is easy to be intercepted and cracked. To solve this problem, this paper presents a new approach to mobile application security framework for the power grid control field. It is to realize secondary encryption by using the method of MD5+AES mixed encryption algorithm and combining the time stamp in real-time data transmission process. At the same time it is to prevent cross-border operations and brute force by using Token authentication and Session technology. China EPRI safety test results show that the application of the framework significantly improves the integrity, safety and reliability of real-time data in power grid control.

The Application of Visible Light Communication in Cable Tunnel Patrol

Visible light communication (VLC) using the light emitting diode (LED) will become an appealing alternative to the radio frequency communication technology for indoor wireless broadband access. However, VLC needs a ubiquitous network as its backbone to avoid becoming an information isolated island. Power line communication (PLC) systems could easily solve the informative problem of VLC while powering the LED lamps at the same time, which is considered as a good partner of VLC for the cost-effective implementation. In this paper, a novel and cost-effective framework of ubiquitous indoor broadband access based on deeply integrated VLC and PLC technology with only low-cost modification to the current infrastructure is therefore proposed. The broadband access network supports duplex transmission through each LED using the decode-and-forward (DF) working mode. Furthermore, the VLC-PLC integration technology is applied to typical power grid business scene, which is cable tunnel inspection. During the intelligent inspection, the VLC-PLC system provides voice communication and position service for on-site inspection personnel. The system can ensure the safety and security of power production.

The Design of VLC-PLC System for Substation Inspection

A kind of integrated network architecture visible light communication (VLC) and power line communication (PLC) is put forward. This architecture is low cost and easy to implement which overcomes the shortcoming of the traditional network architecture. Furthermore, the VLC-PLC integration technology is applied to typical power grid business scene, which is substation intelligent inspection. The business process of master station platform is analyzed. During the intelligent inspection, the VLC-PLC system provides voice communication for on-site inspection personnel and management personnel, and position service. The system can ensure the safety and security of power production.