Electricity Information Collection System Research Articles

Design and Implementation of an SGX Based Electricity Information Collection and Management System

With the rapid growth of the number and scale of smart grid users, traditional data encryption transmission methods can no longer meet the performance requirements of data aggregation. In response, a power consumption information collection and management system based on SGX software protection extension is proposed. The system mainly consists of three parts: user electricity data acquisition terminal, SGX data security processing and distributed storage module on the chain, and data monitoring management display platform. The user electricity data collection terminal collects electricity data from various buildings, residences, rooms, and other smart meters, analyzes and uploads it. After calling the trusted function of SGX technology, it enters the security zone provided by SGX for data processing. Finally, the data security processing results and data are uploaded to the blockchain for storage. In order to visually display user electricity usage data, an intelligent monitoring platform for user electricity collection and management has been established. This system can reduce the workload of user electricity data collection, ensure the accuracy of data collection, and provide an efficient and highly reliable system platform for user electricity data management.

Joint Optimization of Resource Utilization, Latency and UAV Trajectory in the Power Information Acquisition System

In order to reduce the peak–valley difference of the power grid load, reasonably arrange users’ electricity consumption time and realize the intelligent management of the power grid, we construct a user electricity consumption information acquisition system based on unmanned aerial vehicles (UAVs) by using a sensor network. In order to improve the service quality of the system and reduce the system delay, this paper comprehensively considers the factors that affect the user’s electricity consumption information collection system, such as the UAV trajectory, the unloading decision of the data receiving point and so on. Therefore, this paper puts forward an effective iterative optimization algorithm for joint UAV trajectory and unloading decisions based on a deep Q network (DQN), in order to obtain the optimal UAV trajectory and unloading decision design, acquire the optimal solution to minimize the time delay of the monitoring system and maximize the service quality of the user electricity information collection system, thus ensuring the stable operation of the user electricity information collection system. In this paper, different complexity algorithms are used to solve this problem. Compared with the greedy algorithm, the proposed algorithm, CDQN, improves the system service quality by approximately 2% and reduces the system delay by approximately 16%, so that the user’s electricity consumption information can be analyzed and processed faster.

Analysis of electricity stealing based on user electricity characteristics of electricity information collection system

In order to effectively combat electricity theft and improve the ability to recognize electricity theft, this paper proposes an anti-electricity theft method based on the analysis of users’ electricity consumption behavior. First, determine the appropriate outlier detection electrical parameters through reasonable research on users. , Using the outlier detection algorithm to filter the user’s electrical data, preprocessing the original data, performing multi-feature fusion analysis on the user’s electrical parameters, using the discriminant rule to filter out the outliers, and then using the electricity based on the clustering algorithm Pattern analysis for detection, to achieve active identification of low-voltage power theft. In this paper, combined with the user profile data of the electricity consumption information collection system, it conducts in-depth analysis of the user’s electricity consumption data. Through the discovery of abnormal electricity consumption data users, the analysis finds out the electricity theft users and improves the quality and efficiency of the anti-stealing work.

The Development of Automated Testing Acquisition Terminal

With the mature of single phase intelligent electric meter automation detection technology, concentrator and shift acquisition terminal also need to implement automated testing. The current domestic reality for some measuring equipment in the production of automated verification or a link in the test, which still have some technical problems. It combined with the necessary human intervention, virtually increased the cost and certain security hidden danger, make the lost of the role of automation and automated verification or testing is true meaning. However, how to realize the automation of collection terminal detection is mainly to solve the problem. For intelligent electricity information collection system construction, the problems arising from the use and application, put forward to realize the automatic acquisition terminal detection scheme, for the domestic intelligent electricity information acquisition terminal test provide beneficial guidance and reference.

A New Dynamic Simulation Test Method of Intelligent Electricity Metering System

Electricity metering is the core supporting technology for realizing accurate perception of electricity consumption, reasonable dispatching of power grids, rapid market response, diversified charging and new forms of electricity marketing. However, due to the significant differences in the actual metering environment, the operation of the electricity metering and information collection system is unstable, showing many problems such as unsuccessful parameter delivery and low acquisition success rate, which severely restricts the development of smart grid two-way interactive technology and the realization of smart electricity consumption in the last mile. There is an urgent need for a reliable and accurate dynamic simulation and systematic testing method to realize the reproduction and testing of various field faults. In this paper, we propose a new type of dynamic simulation test method for intelligent electricity metering system, which can realize the performance test, fault dynamic simulation, location and recovery of each functional unit of the master station, collection terminal and smart meter. Through experimental testing, our dynamic simulation test methods can realize the rapid recurrence of on-site problems, improve the high reliability and normal operation of the electric energy metering information collection system.

Noise Reduction Method for Low Voltage Power Line Carrier Communication

In order to improve the performance of electricity information collection system, this paper studies and proposes a new method of low-voltage power line carrier signal frequency domain noise reduction. It includes frequency domain decomposition of carrier signal, filtering noise reduction and signal frequency domain restoration. Then compared our method with the wavelet packet noise reduction method based on multi-resolution. The experimental results show that the proposed algorithm is better than the comparison algorithm under different modulation modes and carrier frequencies, especially suitable for carrier signal noise reduction under bad channel conditions. The algorithm proposed in this paper has good anti signal attenuation performance, and it can effectively enhance the SNR, and ensure the transmission performance and system reliability of the electricity information collection system.

Design of Multi-mode Heterogeneous Fusion Terminal for Power System

With the increasing demand of users and power supply quality in the power grid market, this puts forward higher requirements on the power system. However, the traditional power system has many limitations. People need to be able to upgrade on the basis of the traditional power grid to adapt to changing requirements. The purpose of this paper is to study the design of multi-mode heterogeneous fusion terminal in power system. This article is based on two wireless network technology solutions, GPRS wireless public network and LTE-230 wireless private network, a hardware development platform with STM32F107VCT6 microprocessor as the core, and a μ C/OS-III embedded real-time operating system software development platform, has designed the multi-mode heterogeneous fusion terminal of the electricity information collection system. This article deeply analyzes the demand for multi-mode heterogeneous fusion terminals of the electricity consumption information collection system, which is mainly used for the collection of electricity consumption information and the marketing and distribution automation management of power services; then it analyzes the work of the GPRS network and the LTE-230 network Principle and network system structure. This article designs the communication driver and application program, and analyzes the software architecture in detail. According to the logic processing structure of the internal data of the multi-mode heterogeneous fusion terminal, this article designs the data forwarding process in detail. In this paper, protocol conversion test, interface test and communication test are carried out on multi-mode heterogeneous fusion terminal. The test results show that when the system buffer K is 2 or 4, that is, if the average size of each message in the system is 100 Bytes, and the buffer is set to 800 Bytes, the system loss rate will approach zero.

Monitoring and Analysis of Distributed New Energy Resources Based on the Internet of Things

In order to accurately monitor and analyze new energy resources in real time, the analysis and design of a distributed new energy resource monitoring device based on the Internet of Things cloud platform is carried out, and a Hadoop distributed new energy system based on the Internet of Things cloud computing is designed. It analyzes the computing architecture of parallel collection and distributed storage of new energy resource monitoring data, analyzes the infrastructure system of the distributed system, and builds the big data processing architecture and computing service architecture for the electricity information collection system based on the Hadoop cluster. Tasks are processed in parallel to improve the computing efficiency of electricity consumption big data; at the same time, in order to solve the problem of insufficient storage space caused by the sharp increase in the amount of data in the electricity consumption information collection system and the difficulty of data interaction at all levels, a distributed database is developed. The modular design of the parallel data collection system of HBase and the data warehouse tool Hive, and the distributed data calculation design based on the MapReduce method have improved the efficiency of data collection and the unified storage of heterogeneous data. The research provides reference for realizing an efficient and safe new energy resource monitoring data processing system.

Research on Key Technology of State Evaluation and Replacement Acquisition System of Intelligent Electric Energy Meter Based on Smart Grid

Based on big data technology, the smart meter operation status analysis system uses distributed storage, distributed analysis and calculation, and data mining to integrate the mass of energy meter information in the electricity information collection system, measurement and production scheduling platform, and marketing business system. The data is converted into a smart meter operation status report, which guides the staff to calibrate or rotate the meter, and solves the problem of wasting human and material resources in the current meter management method. The concepts and key technologies of big data technology and data mining are expounded, and the big data platform of the hierarchical structure smart meter operation status analysis system is introduced in detail.

Research on Multi-task Scheduling Algorithm for Integrated Energy Metering Acquisition System

With the development of the energy Internet and the construction of a new energy measurement system, it is particularly important to promote the remote automatic collection and copying of water, gas, heat and electricity. Based on the electricity information collection system, this paper designs an integrated acquisition technology architecture system for electricity, water, gas and thermal energy measurement, and clarifies the technical route of the energy measurement system. Then, through the analysis of the system task classification, a multi-task adaptive real-time scheduling method based on Spark cluster is proposed, which solves the problem that the collection system has uneven task allocation, long overall task completion time and high priority based on the existing scheduling mechanism of the Spark cluster. The task timeout response causes problems such as poor user experience. Finally, the experimental results show that the total number of 2 million collection tasks are divided into six categories, and the default scheduling methods in the text and Spark are used for comparison. The time-based and priority-critical tasks are completed earlier than the default method. The response speed greatly improves the system user experience and effectively improves the level of social public services.

New line‐loss management technology of distribution area based on electricity information collection system

With the application of electricity information acquisition system and the gradual improvement of related functions, the management on line-loss in intelligent distribution area operated by power supply enterprises has made great progress. However, due to the influence of the subjective and objective factors, the line-loss management has not reached the expected target, which directly affects the economic benefit of power supply enterprises. This article mainly introduces a new management technique of line-loss in intelligent distribution area based on electricity information acquisition system. The abnormal loss of electric energy in intelligent distribution area caused by the current with unbalanced three-phase and the meter connection mode is mitigated.

Research on reporting scheme of grading stop-and-recharge event of low-voltage acquisition terminal

For a long time, power supply companies mainly rely on the power supply service command platform for organization and dispatch of work orders and work orders for low-voltage network power outages. However, the analysis of power outage location, power outage scale, requires personnel strength and repair plan is mainly based on the prejudgment of the phone entered after the user loses power, which is prone to misjudgment of workload or recovery time, low processing efficiency and high cost. There are many security risks. This paper analyzes the problem of stop-and-recharge events, single-user and meter-box stop-and-recharge events, and proposes a reporting plan for the three-level stop-and-return event to solve the problem of immediate reporting of events after power outages. Make full use of the acquisition advantages of the electricity information collection system, and comprehensively improve the customer service response speed and distribution network operation and management level.

Research on Adaptability of 5G Network Slicing in Distribution Automation and Electricity Information Collection System

Research on Adaptability of 5G Network Slicing in Distribution Automation and Electricity Information Collection System

Application and Test Research of High-speed Broadband Carrier Communication Technology in Power Information Collection Interconnection System

The electricity information collection system plays an important role in improving the energy structure of the grid and improving the utilization efficiency. With the development of power consumption business, broadband technology has become an important part of the communication network of power information system, which is of great significance to support the construction of smart grid. In this paper, the application of high-speed broadband carrier communication counting in the use of electricity information collection and interconnection system is studied. In view of the problems frequently occurring in the electricity information collection system, it is proposed that information islands are easy to appear in the Datai district, and the line loss management is weak. The power information system solution in the case. Through the introduction of system communication performance, consistency and interoperability and other test programs, testing at each operation site, and achieved good results.

Analysis of Low-Voltage Centralized Meter Reading Solution Types and Selection Applications for County Power Supply Enterprises

This paper summarizes the communication methods, equipment type, working principle, technical characteristics and interference factors of several mainstream low-voltage electricity information collection system solutions, which are based on the analysis of the existing technical characteristics of the electricity collection system. In this paper, a typical case of the residents' station in the county area is set up. From the perspective of installation environment, equipment cost and communication effect, the paper puts forward three typical technical solutions of the low-voltage centralized meter reading system due to the selection and configuration of the low-voltage electricity information set for different environmental characteristics. Through the application in the rural county grids, the validity and the promotion value of the selection and configuration are verified, which can provide reference for other technical solutions and applications for the construction of low-voltage centralized meter reading system.

Research on the Technology of the Dual Mode Communication with the Electricity Information Collection System

There are a variety of communications modes are using in the domestic electricity information acquisition system, which has its own characteristics, which can meet the needs of specific applications. However, the application scenarios and requirements of electric information collection system are changeable, and the hierarchical structure of its communication network is very complex, relying on single-mode communication technology is unable to meet the needs of users [1-2]. Therefore, this paper carries out a comprehensive survey and objective evaluation analysis on the communication support network of electricity information collection system, and the objective and detailed test for the current problems. With the using of dual mode communication technology, the problem of the single mobile communication network signal coverage could be solved, and it can improve the reliability of the communication.

Monitoring and diagnosis process of abnormal consumption on smart power grid

In this paper, an integration analysis of abnormal situation based on statistical process control and fuzzy diagnosis technologies is constructed. The users’ electricity consumption data, which come from smart meters and electricity information collection system, are collected and analyzed. Shewhart control chart is used to monitor the data. If some data are abnormal, fuzzy diagnosis technology will be used to dig the abnormal reason so as to take timely and effective remedial measures. The actual numerical test result shows that the integration can indeed find the reason of the abnormal of electricity.

Data compression and reconstruction of smart grid customers based on compressed sensing theory

In order to improve collection and transmission efficiency of smart electricity information collection system with huge number of data, a compressive sensing model for low-voltage customers was proposed in this paper. This model includes data compression method and reconstruction algorithm. First, we proved that electricity power data satisfy the sparsity condition of compressive sensing in a specific domain. Then, an improved iterative threshold algorithm was adopted to reconstruct the compressed power data, and detail processes of data reconstruction were proposed in succession. Experimental results show that the power data of multiple customers can be accurately reconstructed. Interrelation between reconstruction performance with customer number and compression rate was also analyzed.