Journal of Electrical Engineering ›› 2015, Vol. 10 ›› Issue (4): 70-81.

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Multi-agent Identification and Estimation of Transmission Line Parameters Based on Improved Clustering

Lu Zhigang1,Chen Yuemin2   

  1. 1. Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province Yanshan University Qinhuangdao 066004 China
    2. State Grid Hebei Maintenance Branch Shijiazhuang 050000 China
  • Received:2014-10-11 Online:2015-04-25 Published:2015-04-25

Abstract:

A method of identifying suspicious parameters and positing bad data by clustering multi-section calculation of parameters is proposed. Based on this, a method of correcting suspicious parameters and bad data is proposed to obtain approximations with less deviation. By utilizing these data, both performance of convergence and results reliability of augmented state estimation are improved. The comprehensive relevance is got by means of analyzing three aspects of physical connection, electrical connection and power transmission and adopting game theory. It can become the basis of avoiding residual contamination and residual flooded, as a result to further improve the determination accuracy. To enhance efficiency, multi-agent theory is introduced to achieve the performance required above. Every branch is regard as a branch agent (AG), to achieve identification and correction of suspicious parameters and position and correction of bad data. Coordination agent (CAG) is set to achieve parameters estimation. Branch AG and CAG scheme and amend to guarantee reliability of final results. Finally, the simulation analysis of actual transmission network of a medium-sized city in our country has been given to show the feasibility and effectiveness of the proposed method.

Key words: Improved clustering, parameter identification, bad data position, nodes comprehensive relevance, augmented state estimation, multi-agent

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