Ubiquitous Power Internet Of Things Research Articles

Multi-Access Edge Computing Architecture and Smart Agriculture Application in Ubiquitous Power Internet of Things

The Ubiquitous Power Internet of Things (UPIoT) is a deep integration of the interconnected power network and communication network, enabling full perception of the system status and business operations for power production, transmission, and consumption. To address the challenges of real-time perception, rapid response, and privacy protection, UPIoT can benefit from the use of edge computing technology. Edge computing is a new and innovative computing architecture that enables quick and efficient processing of data close to the source, bypassing network latency and bandwidth issues. By shifting computing power to the edge of the network, edge computing reduces the strain on cloud computing centers and decreases input response time for users. However, access latency can still be a bottleneck, which may overshadow the benefits of edge computing, particularly for data-intensive services. While edge computing offers promising solutions for the IoT network, there are still some issues to address, such as security, incomplete data, and investment and maintenance costs. In this paper, researcher conducts a comprehensive survey of edge computing and how edge device placement can improve performance in IoT networks. The paper includes a comparative use case of smart agriculture edge computing implementations and discusses the various challenges faced in implementing edge computing in the UPIoT context. The results also aim to inspire new edge-based IoT security designs by providing a complete review of IoT security solutions at the edge layer in UPIoT.

Automatic Generation Control Strategy for Integrated Energy System Based on Ubiquitous Power Internet of Things

The integrated energy system based on Ubiquitous Power Internet of Things has the characteristics of ubiquitous connection of everything, complex energy conversion mode and unbalanced supply-demand relationship. It brings strong random disturbance to the power grid, which deteriorates the comprehensive control performance of automatic generation control. Therefore, a novel deep reinforcement learning algorithm, namely collaborative learning actor-critic strategy, is proposed. It is oriented to different exploration horizons, has the advantage on experience sharing mechanism and can continuously coordinate the key behavioral strategies. Simulation tests are performed on the two-area integrated energy system and the four-area integrated energy system based on ubiquitous power Internet of Things. Comparative analyses show that the proposed algorithm can efficiently solve the problem of strong random disturbance, and has better convergence characteristic and generalization performance. Besides, it can realize the optimal cooperative control of multi-area integrated energy system efficiently.

Routing and Timeslot Scheduling for SPN Fine-Granularity Slices

The integration of 5G and vertical industries promotes the development of the energy Ethernet while putting forward fine granularity, flexibility, high reliability, and deterministic low-latency service requirements for the smart grid and the ubiquitous power Internet of Things (UPIoT). As the bearer architecture supporting the next-generation optical transmission network, the Slicing Packet Network (SPN) slice granularity decreases from 5 Gbps to 10 Mbps fine granularity and the frame period of 5 Gbps large-granularity slices is short, so the non-deterministic delay caused by timeslot conflicts has a negligible impact on the end-to-end delay, and the timeslot scheduling is unnecessary. However, due to the reduction in timeslot granularity and the change in frame structure in 10 Mbps slices, the scheduling of conflicting timeslots and the complex device computing management problems need to be solved urgently. In this paper, we establish a model of routing embedded timeslot scheduling for the routing of fine-granularity slices and timeslot scheduling problems in SPN-based FlexE interfaces, for which we propose a deterministic timeslot allocation mechanism supporting end-to-end low-latency transmission. According to the timeslot symmetry, the mechanism can reduce the space of feasible solutions through ant colony optimization and unidirectional neighborhood search (ACO-UNS), so as to efficiently solve the scheduling of conflicting timeslots and provide end-to-end delay guarantee for delay-sensitive services. Finally, we make a comparison between the ACO-UNS algorithm and the timeslot random dispatching algorithm (ACO-RD); the results show that, relative to the ACO-RD, the reduction in the proposed ACO-UNS is 98.721% for the end-to-end delay of fine-granularity slices.

Quality and Application Capability Analysis of Production Data ‘Source’ Based on Ubiquitous Power Internet of Things

Under the background of digital power grid, in order to deepen the digital application ability of Inner Mongolia power grid, the quality and application ability analysis of production data ' source ' based on pan is carried out to control risk, reduce crisis and realize the credible availability of data. In order to fully grasp the quality of the ' source ' of power grid production data used for interaction, the data of equipment account, technical parameters, maintenance record, test record and defect information in the production management information system are selected, and the quality analysis based on the integrity, correctness and consistency of the data used for interaction is carried out. It is found that there are problems of data ' source ' information error, missing and garbage data. In view of these problems, the decision of data management is put forward, and the suggestions for intelligent operation and inspection management and control of data are put forward, so as to improve the application ability of data and realize the value of data.

Construction and intelligent analysis of power grid physical data knowledge graph based on Internet of Things for power system

Abstract The State Grid Corporation of China proposed the idea of building a ubiquitous power Internet of Things, which intends to endow the power system with adjustable perceptivity through the Internet of Things technology. Aiming at the power system under the Internet of Things, this article propounds a framework for the construction and intelligent assessment of the knowledge graph (KG). First of all, the introduction of the power Internet of Things system architecture and data life cycle will be introduced from the aspects of organisational structure, management system, team building, technical support and data security protection. Then, the key information is mined from the complicated physical text data of the power grid by using NLP technology. At the same time, a hybrid model is propounded for named entity recognition, which effectively uses context information to meliorate the accuracy of extraction. The experimental results evince that the accuracy rate of the Internet-based grid physical data KG construction and intelligent analysis framework proposed in article reaches 96.53%. It is a new guidance for the research and evolution of future power grid objects.

Application of Blockchain Technology in Electric Vehicle Charging Piles Based on Electricity Internet of Things

With the continuous development of urban intelligence, as traffic, power grids, and electric vehicles are new ideas to solve energy shortages and air control problems, they have received widespread attention from the society and strong support from the government. The charging pile is a key hub for data exchange and has typical characteristics of IoT terminals. However, the guidance of the grid connection of electric vehicles is not standardized, and the security and stability of the power grid will inevitably be affected. The blockchain has the characteristics that data is difficult to tamper with and decentralized. Based on these two characteristics, the information recorded by the blockchain is more authentic and reliable. This paper is aimed at realizing the global unified identification and management of large terminal equipment based on ubiquitous power Internet of Things equipment with the help of blockchain technology and at providing safe, efficient, and stable online management services for a large number of devices in the ubiquitous power Internet of Things. In this paper, we analyze the application possibility of blockchain technology in the current electricity market and apply blockchain technology to the electricity market to solve the drawbacks of the electricity market, as well as adding blockchain analytics to the renewable energy electricity market. The experimental data analysis shows that with the increase of the length of the blockchain, the blocking time of the new area increases correspondingly, but the overall performance declines slightly, so this scheme can meet the practical needs of a large number of concurrent access terminals in the ubiquitous power Internet of Things. It can be seen that the successful application of blockchain technology based on the power Internet of Things in electric vehicle charging piles has greatly improved work efficiency.

Blockchain data privacy protection modeling based on CP-ABE algorithm

Abstract With the proposal of the concept of ubiquitous power Internet of Things and the further promotion of blockchain strategy, modern information technologies such as the Internet of Things and cloud computing have been widely used in the power system. While the power grid is becoming more intelligent, it is also accompanied by the emergence of various security threats, and the power grid will face greater challenges and pressures. In this paper, aiming at the current situation of information security faced by the power grid blockchain under the cloud Internet of Things, a multi-authorization center ciphertext policy attribute encryption access control method is constructed for the power grid blockchain. It adds the function of visitor attribute update revocation, aggregates multi-dimensional data into ciphertext, and uses CP-ABE encryption to implement fine-grained access control at the dimension level. Through experimental analysis, in terms of security and functionality, this method can resist physical collision attacks and manage access rights flexibly. In terms of encryption and decryption efficiency, the encryption and decryption calculation speed of the proposed method is 6.2–15.6% higher than that of the traditional method, and the time consumption efficiency is more than 5% higher than that of other methods. It proves that this model has more advantages for open network environments such as power grid blockchain with high confidentiality requirements and large scale of users. It is of great significance to study the data security and privacy protection methods of the power grid blockchain.

Ubiquitous Power Internet of Things-Oriented Low-Latency Edge Task Scheduling Optimization Strategy

Internet of things of cloud computing offers high-performance computing, storage and networking services, but there are still suffers from a high transmission and processing latency, poor scalability and other problems. Internet of things of edge computing can better meet the increasing requirements of electricity consumers for service quality, especially the increasingly stringent need for low delay. On the other hand, edge intelligent network technology can offers edge smart sensing while significantly improve the efficiency of task execution, but it will lead to a massive collaborative task scheduling optimization problem. In order to solve this problem, This paper studies an ubiquitous power internet of things (UPIoT) smart sensing network edge computing model and an improved multi node cluster cooperative scheduling optimization strategy. The cluster server is added to the edge aware computing network, and an improved low delay edge task collaborative scheduling algorithm (LLETCS) is designed by using the vertical cooperation and multi node cluster collaborative computing scheme between edge aware networks. Then the problem is transformed based on linear reconstruction technology, and a parallel optimization framework for solving the problem is proposed. The simulation results suggest that the proposed scheme can more effectively reduce the UPIoT edge computing latency, and improve the quality of service in UPIoT smart sensing networks.

Analysis and Prospect of the Application of Wireless Sensor Networks in Ubiquitous Power Internet of Things.

With the rapid development of the economy and society, the low efficiency and high loss of the traditional power grid can no longer meet the growing social demand, and the power grid market is facing a reform. Smart grid, as a next-generation power system, it can effectively improve the performance of traditional power grids. The ubiquitous power Internet of Things (UPIOT) replaces the traditional grids with efficient, safe, reliable, and flexible new grids, improves the utilization efficiency of the grid, reduces the loss of the power grid in the transmission process, and can meet the needs of different types of markets and users. As an advanced information acquisition and processing technology, wireless sensor networks have been widely used in medical, industrial, agricultural, commercial, and public management fields. It is an important means to promote future economic development and build a harmonious society. In the power system, wireless sensor network technology can be widely used in many fields such as line fault location, real-time monitoring, smart meter reading, and relay protection. In this paper, the basic concepts and overall architecture of ubiquitous power Internet of Things are summarized. Then, we summarize the research status of the wireless sensor network in smart grid, including power equipment, line monitoring, smart grid wireless automatic meter reading, distribution network relay protection, power assets life-cycle management, power grid fault location, and power grid fault diagnosis. In view of the technical characteristics of wireless sensor networks, combined with the production links of power systems, the application framework of wireless sensor network technology in the power systems is constructed. The application of wireless sensor networks is prospected from the aspects of network development of relay protection, application research of smart substation, application research of power grid catastrophe, security protection of power system, and deep-seated ubiquitous power Internet of Things.

Research on Power System Monitoring System Based on Computer Ubiquitous Internet of Things Technology

This article uses the current ubiquitous power Internet of Things, sensor technology, detection technology, communication technology and the application of hierarchical distributed structure to design a set of intelligent substation online monitoring system. Real-time monitoring of the operating status of main equipment such as high-voltage switches and transformers in substations, alarms and early warnings of potential faults in the equipment, and transmission of monitoring data and alarm data to the Internet through wired or wireless means to achieve remote data monitoring. It has good reliability and flexible scalability.

Research on Electromagnetic Interference of Lightning Current on Secondary Cable in Substation

Secondary cable is an important equipment for ubiquitous power Internet of things to transmit information. When the substation grounding grid is struck by lightning, part of the lightning current flows through the shielding layer of secondary cable and produces core-to-sheath potential difference, which seriously threatens the safety of the secondary system. Fourier transform was used to decompose the lightning current in frequency domain, and the core-to-sheath potential difference at the end of the secondary cable was obtained by calculating the shielding layer current and transfer impedance at each frequency component. The effects of soil resistivity, lightning current waveform, distance between lightning stroke point and cable and grounding grid on the core-to-skin potential difference of secondary cable were studied. It is shown that the core-to-sheath potential difference of secondary cable increases with the increase of soil resistivity, the peak value, and the tail time of lightning current. The core-to-sheath potential difference decreases with the increase of the distance, while the core-to-sheath potential difference increases with the increase of conductor spacing of the grounding grid. The core-to-sheath potential difference with copper grounding grid is smaller than that with steel grounding grid.

Abnormal Data Detection and Identification Method of Distribution Internet of Things Monitoring Terminal Based on Spatiotemporal Correlation

As an important part of the ubiquitous power Internet of Things, the distribution Internet of Things can further improve the automation and informatization level of the distribution network. The reliability of the measurement data of the low-voltage terminal unit, as the sensing unit of the sensing layer of the distribution Internet of Things, has a great impact on the fault processing and advanced applications of the distribution Internet of Things. The self-check and the equipment working status monitoring of the main station of the low-voltage terminal unit struggle to identify the abnormality of measurement data. Aiming at this problem, an abnormal data detection and identification recognition method of a distribution Internet of Things monitoring terminal is proposed on the basis of spatiotemporal correlation. First, using the temporal correlation of monitoring terminal data, the proposed composite temporal series similarity measurement criterion is used to calculate the distance matrix between data, and the abnormal data detection is realized via combination with the improved DBSCAN algorithm. Then, using the spatial correlation of the data of the terminal unit, the geometric features of the spatial cross-correlation coefficient of the terminal nodes are extracted as the input of the cascaded fuzzy logic system to identify the abnormal source. Lastly, the effectiveness of the method is verified by a practical example.

Edge Computing Application, Architecture, and Challenges in Ubiquitous Power Internet of Things

The Ubiquitous Power Internet of Things (UPIoT) is a concrete manifestation of the Internet of things (IoT) in the power industry, which is a deep integration of the interconnected power network and communication network, realizing full perception of the system status and full business penetration in all links of power production, transmission, and consumption. The introduction of edge computing in UPIoT fully meets the requirements of rapid response, real-time perception, and to some extent, privacy protection. However, there is currently no comprehensive investigation on the application of edge computing technology in UPIoT. First, this paper introduces the development background and construction of UPIoT and its technical architecture. Then the challenges faced by UPIoT in the process of construction are analyzed. Furthermore, the paper elaborates on the functions and features of edge computing, proposes that the support of edge computing technology can solve the challenges of efficient, fast, and secure processing of massive edge data faced by the traditional cloud-based centralized big data processing technology of UPIoT, and analyzes the architecture of the edge computing-assisted UPIoT. For the three typical scenarios of UPIoT, namely power monitoring system, smart energy system and power metering system, the edge computing architecture of the three scenarios are analyzed, and the specific application methods and roles played by edge computing in the three scenarios are also elaborated. Finally, we discuss the challenges of edge computing in UPIoT, in terms of policy challenges, market challenges, and technical challenges, as well as outline the outlooks of the technical challenges.

The spatial diffusion of “multi‐station integration” and sustainable development: From the perspective of eight economic zones in China

China's power system driven by the ubiquitous power internet of things, a new operation mode—“multi-station integration” (MSI) has emerged. The novel business model can improve the energy utilization efficiency and promote the cross-border business integration. In some earlier studies, mainly focused on conceptual analysis of application scenarios and operation modes of MSI. However, quantitative analysis that measure MSI popularize remain under development. This article highlights the recent advance achievements in MSI of digital power grid regarding transformation of Chinese eight economic zones. From the perspective of spatial heterogeneity, the gravity model provides a framework for describing the spatial diffusion of MSI mode relative to eight economic zones (EEZ) in China. In addition, compared to conventional gravity model, this study improved four aspects of the basic spatial gravity model - diffusion capacity, absorptive capacity, the gravitation coefficient, and economic distance. It is found that the spatial diffusion of MSI is subjected to eight economic zones interaction while the spatial heterogeneity is inevitable. Thus, the resulting represents a radial decline, with the three coastal economic zones as the center, gradually decreasing to the inland and western regions, especially for those coastal economic regions with large diffusion impacts. Meanwhile, we also discuss the advantages, impacts, and limitations of MSI spatial diffusion as valuable references for future development direction of MSI mode. Ultimately, some of future development recommendations for MSI emerging field is put forward.

Research on Trusted Access of Ubiquitous Power Internet of Things Terminal Based on Hyperledger

The secure access of terminals is an important problem that hinders the construction of ubiquitous power Internet of things. This paper analyzes the requirements and problems of ubiquitous power Internet of things terminal access, introduces the alliance chain framework of blockchain technology, selects super Ledger as the basic framework, and introduces it into the ubiquitous power Internet of things terminal access authentication scheme, and proposes a trusted access scheme of ubiquitous power Internet of things terminal based on Super ledger. Firstly, based on the framework of fabric project in hyperledger, the terminal access framework based on Hyperledger is designed, and the overall framework is mapped into a classic five layer structure of blockchain for functional design. Then, the terminal access process is divided into two stages: terminal access and identity authentication to achieve the authority control and identity authentication of the terminal and ensure the safe access of the terminal. Finally, the feasibility of the proposed scheme is verified by comparing with the traditional scheme through simulation experiments.

Application of UPIoT based power monitoring system

Power monitoring through the Internet of Things (IoT) is growing in demand concerning to current trends like electric vehicles, and energy conservation. A system that can monitor this continuously changing demand and adapt itself according to the user requirements is called a smart system. This is only possible by monitoring continuous power output and controlling the gathered data for valuable information with the help of smart systems and IoT devices. This paper discusses the structure of Ubiquitous power Internet of Things (UPIoT) and power monitoring by using UPIoT. The monitoring of data is done by two methods, the first is non-invasive power monitoring and the second is invasive power monitoring. The proposed devices transmit real-time data to the thingspeak cloud by using the ESP8266 Wi-Fi module. The performance of both systems is analyzed by using an electric blower.

Research on Visual Monitoring System of Line Loss in Power Internet of Things and Power Distribution Network

In order to reduce the comprehensive line loss of the power grid, a visual monitoring technology of line loss in the distribution network based on the Internet of Things is proposed. The paper incorporates the monitoring and management of line loss during the same period into the visualization platform of the distribution network to monitor and manage the effectiveness of the whole process, and solve the problems of incomplete information, untimely filing, and inadequate updates, and fully support "one data source, one grid map, and one business line" The construction and application of the ubiquitous power Internet of Things. Based on the Internet of Things technology, the article screens the distribution network line loss data for the same period and uses Tableau software to make a visual worksheet, visualizes the line loss data, analyses the relationship between the distribution network line loss data for the same period, and conducts anti-theft analysis on the same period distribution network. The paper then performs K-means algorithm clustering analysis, visual analysis and box plot analysis on the line loss data. Summarize the threshold range of each line loss index corresponding to different conditions such as abnormal station area, to-be-upgraded station area and normal station area. Finally, build a visual interactive platform for the analysis of line loss abnormalities in the station area. Experiments have proved that the line loss visual monitoring system can control the overall situation of line loss and the processing of abnormal line loss in real time, which greatly improves work efficiency.

Efficient Directional Antenna Design Suitable for Ubiquitous Power Internet of Things

Today’s power systems are developing from traditional multi-sensor systems to ubiquitous power Internet of Things systems. The environmental backscatter technology makes communication equipment get rid of the dependence on power supply, is more energy-efficient, and effectively extends the communication distance, which is very suitable for power Internet of Things scenarios. Tag antenna is an important part of environmental backscattering, but it has problems such as low reliability and insufficient reading distance in the traditional power Internet of Things. In view of the above problems, this paper designs a double-antenna structure tag antenna, which adopts omnidirectional receiving and directional transmitting methods to achieve the purpose of comprehensive signal coverage for the power Internet of Things application scenarios. It has the characteristics of obvious gain, small side lobe, and strong anti-interference.

Architecture design and demand analysis on application layer of standard system for ubiquitous power Internet of Things

The ubiquitous power Internet of Things (UPIoT) is an intelligent service system with comprehensive state perception, efficient processing, and flexible application of information. It focuses on each link of the power system and makes full use of the mobile internet, artificial intelligence, and other advanced information and communication technologies in order to realize the inter-human interaction of all things in all links of the power system. This article systematically presents to the national and international organizations and agencies in charge of UPIoT layer standardization the status quo of the research on the Internet of Things (IoT)-related industry standards system. It briefly describes the generic standard classification methods, layered architecture, conceptual model, and system tables in the UPIoT application layer. Based on the principles of inheritance, innovation, and practicability, this study divides the application layer into customer service, power grid operation, integrated energy, and enterprise operation, emerging business and analyzes the standard requirements of these five fields. This study also proposes a standard plan. Finally, it summarizes the research report and provides suggestions for a follow-up work.

Research on Grid High Voltage Harmonic Detection Based on Ubiquitous Power Wireless Network

The intelligent optimized operation of the power grid depends on the ubiquitous perception of the system and complete and correct data support, which is also the most basic requirement that the ubiquitous power Internet of Things perception layer must meet. In the application of ubiquitous power Internet of Things, obtaining complete and correct measurement data is the basis for managing power quality problems. However, in the entire link of the actual grid collection and transmission, data defects will inevitably occur. Based on the background of the ubiquitous power Internet of Things wireless network, the paper adopts the idea of modular programming and divides it into three modules: frequency measurement sampling, waveform display and harmonic display according to the performance indicators of the harmonic analyser. It can measure the frequency of the input AC voltage, perform AC synchronous sampling of the input voltage according to the measured frequency, and display the waveform of the input voltage; and then calculate the harmonics of each order through the FFT algorithm. The simulation found that the proposed control strategy significantly improved the harmonic current content than the traditional d-q positive and negative sequence decoupling control.