Author(s)

Qi Qi ^1,2, Yi Wang ²

Affiliation(s)

¹ China Electric Power Research Institute, Beijing 100192, China
² Sinopec Luoyang Branch, Luoyang 471012, Henan, China

Corresponding Author

Qi Qi

ABSTRACT

The electric load of the refinery and chemical enterprises is mainly induction motors. When the statistical synthesis method is used to establish the load model, it is an important research content to improve the aggregation accuracy of the motor group. The clustering feature is determined by analyzing the sensitivity of each parameter of the motor model to the power trajectory. The hierarchical clustering algorithm in machine learning is applied to the classification of the motor group, and the motor aggregation is carried out according to the classification result. Through an example, the simulation results show that, compared with the equivalent of one motor group, the hierarchical clustering algorithm can improve the accuracy of motor group aggregation. 

KEYWORDS

Motor group aggregation; Hierarchical clustering; Load modeling

CITE THIS PAPER

Qi Qi, Yi Wang. Motor Group Aggregation of Refinery and Chemical Enterprises Based on Hierarchical Clustering Algorithm. Journal of Artificial Intelligence Practice (2021) Vol. 4: 13-22. DOI: http://dx.doi.org/10.23977/jaip.2020.040102

REFERENCES

[1] CIGRE Task Force. Load modeling and dynamics [J]. Electra, 1990(130): 124-141.
[2] Pereira L, Kosterev D, Mackin P, et al. An interim dynamic induction motor model for stability studies in the WSCC [J]. IEEE
[3] IEEE Task Force. Load representation for dynamic performance analysis [J]. IEEE Transaction on Power Systems, 1993, 8(2): 472-482.
[4] IEEE Task Force. Standard load models for power flow and dynamic performance simulation [J]. IEEE Transaction on Power Systems, 1995, 10(3) :1302-1313.
[5] Bing Zhao, Yong Tang, Wenchao Zhang. Study on single- unit equivalent algorithm of induction motor group [J]. Proceedings of the CSEE, 2009, 29(19) :43-49.
[6 ]Hou J X, Tang Y, Zhang H B, “Study on Integration Method for Induction Motor”, Power System Technology, vol. 45, no. 18, pp. 2546–2554, 2007.
[7] NOZA RI F , KANHAM M D, PRICE W W . Aggregation of induction motors for transient stability load modeling .IEEE Trans on Power Systems, 1987, 2(4):1096-1103.
[8] T ALEB M , AKBABA M , ABDU LLAH E A .Aggregation of induction machines for power system dynamic studies . IEEE Trans on Power Systems , 1994 , 9(4):2042-2048 .
[9] AHMED-ZAID S , TALEBM .Structural modeling of small and large induction machines using integral manifolds. IEEE Trans on Energy Conversion, 1991 , 6(3):529-535.
[10] FRANKLIN D C , MORE LATO A. Improving dynamic aggregation of induction mot or models. IEEE Trans on Power Systems, 1994 , 9(4):1934-1941 .
[11] KUNDUR P. Power system stability and control [M]. New York, USA :McGraw-Hill, 1994.
[12] Hiskens I A, Pai M A. Trajectory sensitivity analysis of hybrid systems. IEEE Transactions on Circuits and Systems Part I: Regular Papers, 2000,47(2): 204-220.
[13] China Electric Power Research Institute, et al. One of the Special Issues on Power System Model Parameters Research. Power System Technology, 2007, 31 (4): 1-78.
[14] Leskovec J, Rajaraman A, Ullman J David, Wang Bin, et al. Translation. Big Data: Large-scale Internet Data Mining and Distributed Processing[M]. Beijing: People's Posts and Telecommunications Publishing House, 2015.

Sponsors, Associates, and Links

---

• Power Systems Computation
  
  
• Internet of Things (IoT) and Engineering Applications
  
  
• Computing, Performance and Communication Systems
  
  
• Advances in Computer, Signals and Systems
  
  
• Journal of Network Computing and Applications
  
  
• Journal of Web Systems and Applications
  
  
• Journal of Electrotechnology, Electrical Engineering and Management
  
  
• Journal of Wireless Sensors and Sensor Networks
  
  
• Journal of Image Processing Theory and Applications
  
  
• Mobile Computing and Networking
  
  
• Vehicle Power and Propulsion
  
  
• Frontiers in Computer Vision and Pattern Recognition
  
  
• Knowledge Discovery and Data Mining Letters
  
  
• Big Data Analysis and Cloud Computing
  
  
• Electrical Insulation and Dielectrics
  
  
• Crypto and Information Security
  
  
• Journal of Neural Information Processing
  
  
• Collaborative and Social Computing
  
  
• International Journal of Network and Communication Technology
  
  
• File and Storage Technologies
  
  
• Frontiers in Genetic and Evolutionary Computation
  
  
• Optical Network Design and Modeling
  
  
• Journal of Virtual Reality and Artificial Intelligence
  
  
• Natural Language Processing and Speech Recognition
  
  
• Journal of High-Voltage
  
  
• Programming Languages and Operating Systems
  
  
• Visual Communications and Image Processing
  
  
• Journal of Systems Analysis and Integration
  
  
• Knowledge Representation and Automated Reasoning
  
  
• Review of Information Display Techniques
  
  
• Data and Knowledge Engineering
  
  
• Journal of Database Systems
  
  
• Journal of Cluster and Grid Computing
  
  
• Cloud and Service-Oriented Computing
  
  
• Journal of Networking, Architecture and Storage
  
  
• Journal of Software Engineering and Metrics
  
  
• Visualization Techniques
  
  
• Journal of Parallel and Distributed Processing
  
  
• Journal of Modeling, Analysis and Simulation
  
  
• Journal of Privacy, Trust and Security
  
  
• Journal of Cognitive Informatics and Cognitive Computing
  
  
• Lecture Notes on Wireless Networks and Communications
  
  
• International Journal of Computer and Communications Security
  
  
• Journal of Multimedia Techniques
  
  
• Automation and Machine Learning
  
  
• Computational Linguistics Letters
  
  
• Journal of Computer Architecture and Design
  
  
• Journal of Ubiquitous and Future Networks