Dissertation > Excellent graduate degree dissertation topics show

Application of On-line Classification of Substation Daily Load Curve for Load Modeling

Author: JiangZuoZuo
Tutor: LiXinRan
School: Hunan University
Course: Electrical Engineering
Keywords: Power system Load Modeling Load characteristics Category Daily load curve Improved FCM algorithm Data preprocessing Automatic Interface Platform
CLC: TM714
Type: Master's thesis
Year: 2010
Downloads: 139
Quote: 0
Read: Download Dissertation

Abstract


With the advance of China's national main grid interconnection process, the grid have been expanding, and real-time simulation is presented in the practical application of the new requirements. Random variation of the composition and operation status of the load, and the real-time simulation requirements of simulation speed and the actual dynamic process of the power system is consistent, its power system load model accurate description of time-varying load characteristics of the load, the electricity system integrated the load modeling technology put forward higher requirements. Load characteristics of online modeling is an ideal way to solve the load changes randomly with the real-time simulation of the contradiction between the requirements of the load model. Load characteristics of online modeling data requirements: accurately reflect the essential characteristics of the time-varying load. Substation SCADA system daily load curve to the measured data, contains information reflect load constitute characterized the online modeling can be applied to the overall load. In this paper, SCADA system substation daily load data is applied to the actual needs of the online load modeling around daily load curve data preprocessing methods and substation load characteristics based on the classification of the load characteristics of the daily load curves, online classifieds practical engineering application platform development expand Theory and Applications. Classification of load characteristics are generally unsupervised classification technology, widely used classification method based on fuzzy clustering principles in the classification of the actual load characteristics. In this paper, on the basis of the analysis of the existing classification of load characteristics for the FCM clustering algorithm initial value sensitive, convergence results are dependent on the shortcomings of clustering prototype parameters, combined with subtractive clustering, classification based on improved FCM algorithm thinking. Classification of Hunan Province, a substation and 14 regional substations daily load curve, the results show that the proposed modified FCM algorithm is better than the accuracy of the classification results, classification center on a comprehensive description of the capabilities and efficiency of the algorithm FCM algorithm, by analyzing 14 substations daily load curve classification results in similarity and dissimilarity, come to the reasonableness of the classification results improved FCM algorithm. Substation daily load curve is described by the SCADA system measured data, there is abnormality data, these anomalies interfere with the normal variation of the load data to a certain extent, influence the accuracy of the load model, before use it is necessary to be processed. This paper analyzes the substation daily load curve characteristics of a system daily load curve of bad data processing technology. Similarity identification use Neville (Neville) algorithm first completion of missing data; then daily load curve clustering using an improved FCM algorithm to generate all kinds of characteristic curves of the load curve transverse load bad data; Finally, the characteristic curve bad data adjustment. Case Analysis and achieved good results. Developed in order to achieve the load characteristics of engineering applications online classified substation load characteristics of online classified application platform. The platform is based on the modular design concept, Hunan Province, SCADA systems Oracle database as the data source, the platform is designed to automatically interface platform and substation load characteristics classification module two modules. VC language in the realization of the process as the development language, ADO database access technology remote access to the Oracle database, the data automatically after pretreatment substation daily load song data stored in the background SQLServer2000 database. Substation load characteristics developed online classified application platform is an important part of online quasi-real-time load modeling technology support system \

Related Dissertations

  1. Over-voltage Identification of Transmission Line Based on Hilbert-Huang Transformation,TM866
  2. Generator Excitation System of the Anti-saturation Control,TM301.2
  3. Research of Power System Reactive Power Optimization Based on Immune Ant Colony Algorithm,TP18
  4. Research on Support Vector Regression in Prediction of the Short-term Load of Power System,TM715;F224
  5. Research on Modification and Application of Particle Swarm Optimization Algorithm Based on Control Methods,TP301.6
  6. The Research of Online Modeling Based on Gaussian Process,TP181
  7. Research on Oranically-Structured of Expanding Large Scale Systems Based on Parameter Optimization,TP273
  8. The Research of Power Network Control Technology in LPG Hybrid Electric Vehicle,U469.72
  9. Control of a Switched Reluctance Generator for Small Wind Power Systems,TM352
  10. Research on Classification of Colleges in Our Country Based on Clustering Technology of Data Mining,TP311.13
  11. Sensor Data Transmission and Processing of Inertia Motion Capture System,TP212
  12. The Study of the Power System and the Ground Testing Equipment of the Micro-Satellite,V416.8
  13. J-TEXT Tokamak Electric Drift Electron Injection Power System Design,TL631.24
  14. Research on Available Transfer Capability of Power Grid,TM744
  15. Research on Application of Visualization of Analysis and Calculation in Power System,TM769
  16. Research on Daily Load-forecasting for Power Grid Based on ANN,TM715
  17. Study of Dynamic Equivalent of Power System Based on Parameter Identification,TM712
  18. Security Risk Assessment and Vulnerability Analysis in Electrical Power System,TM711
  19. Research on Power System Static Security Risk Assessment Method,TM732
  20. Research of a Medium and Long-term Load Forecasting Method,TM715
  21. Study on the Decision Tree Classification Algorithm and Its Application Based on Rough Set Theory,TP18

CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Theory and Analysis > Load analysis
© 2012 www.DissertationTopic.Net  Mobile