Research And Application Of Key Technology Of Power Real-time Information Optimization Processing

Electricity is the foundation of economic,political,cultural,scientific and technological development.The intelligentization of domestic power grids has reached a certain level.However,compared with the recently proposed ubiquitous power Internet of Things construction requirements,there are still some shortcomings.At present,there are many problems such as many errors in power real-time information,poor synchronization,and large errors.This is of great significance to the power grid,conducting in-depth research on real-time information,solving existing problems,and improving the level of intelligent and ubiquitous power grids.Problems such as poor synchronism and large errors make it important to conduct in-depth research on real-time information of the grid,solve existing problems,and improve the level of intelligent and ubiquitous power grids.Starting from the basic principles to ensure that the problem is solved fundamentally by combing the current problems of real-time power information.It mainly includes the following four aspects(1)In-depth study of the inaccuracies of network pairs.The article combines the latest 1588 time-of-day technology at home and abroad to establish a power function relationship between network timing and influencing factors.A high-precision network timing algorithm is proposed to greatly improve the network timing accuracy based on machine learning.(2)The article is based on mainstream and asynchronous asynchronous sampling techniques.A multi-point checksum and weighted simulation interpolation algorithm is proposed,and a low-frequency synchronous and high-frequency asynchronous threshold switching acquisition method is invented.Through the least squares curve fitting technology,the problem of inaccuracy of frequency conversion AC sampling is solved,and the accuracy of real-time information sampling of power is improved.(3)The article analyzes the principle of missed detection of CRC data verification.It proposes a three-dimensional information transmission data verification technology and multi-level information transmission verification technology,and establishes an information transmission test model.Through the long-term and large-flow information transmission simulation test,it is confirmed that the three-dimensional information transmission data verification technology and the multi-level information transmission verification technology can greatly reduce the information error detection rate without affecting the information transmission efficiency.(4)The article is based on machine learning and noise reduction self-encoding technology.It eliminates errors and large errors,reduces the state estimation algorithm by deep support vector machine technology,and then regionalizes the grid according to the weak connection relationship.A parallel state estimation algorithm based on CPU+GPU is proposed.This greatly improves the accuracy and efficiency of state estimation.During the writing of the paper,it was supported by 17 national and enterprise science and technology projects in response to the current problems of real-time power information.A national science and technology project: 'High-voltage electric heating heat storage to enhance the key technologies for renewable energy consumption',Nine State Grid Co.,Ltd.Science and Technology Projects 'Research on Key Computing Services for High-Performance Network Analysis for Unified Analysis of the Whole Network','Data-centric Control of Cloud Wide-area Service Platform and Typical Application Services Research','Based on Spatio-temporal Operation Data','Research on Safety Assessment and Decision Technology of Large Power Grids','Research on Key Technologies for Controlling Cloud Platform Support','Research and Application of Key Technologies for Broadband Wide-area Synchronous Measurement of Power Systems',and Research and Application of Key Technologies for Power Grid Scheduling in Flexible Load Participation Areas','Research on Refinement Modeling and Basic Data Diagnosis Technology Based on Historical Data','Key Technology Research and Demonstration of Multi-source Collaborative Control and Market Incentive Interaction for Enhancing New Energy Consumption',and 'Application Research of Graph Computing Technology in Power Grid'.Seven State Network Liaoning Electric Power Co.,Ltd.Science and Technology Project 'Development and Application of Dynamic Parameters Based on Cloud Computing Multiple Grids','Comprehensive Scheduling Strategy and Demonstration of Whole Process of Clean Energy Consumption','In-depth Study of Data Fusion and Verification Technology Based on Three-state Power Grid','Research on Key Technologies of New Energy Acceptance Based on Spot Electricity Trading','Research on Grid Reactive Voltage Optimization Strategy and Evaluation Index Considering Source and Load Fluctuation Characteristics','Research and Application of Grid Dispatching Support Technology Based on New Energy Acceptance','Multi-source Multi-load Multi-domain Coordinated Dispatching Operation Technology and Applied Research'.The real-time,accuracy,synchronization and effectiveness of real-time information of power grid are studied.