Abstract
A novel adaptive reclosure criterion based on energy entropy to identify faults for HV transmission lines is presented in the paper on the basis of the introduction of wavelet packet and energy entropy. The method analyses the faulted phase voltage after breakers trip. After breaker trips, the voltage of transient faults is obviously different from that under permanent faults because the secondary arc has the process of extinction-reburning, and the criterion can identify fault nature before secondary arc extinction. Firstly, the faulted phase voltage is decomposed by three-layer wavelet packet, and eight signals in the third level are reconstructed. Secondly, the energy entropy under each scale is calculated according to reconstructed signals, and calculation results show the vectors under different faults are of different characteristics. Finally, a target function is defined as fault identification parameter. Simulations in EMTP/ MATLAB show that: this method can determine fault nature rapidly and accurately and it won’t be affected by system operation manner, transition resistance and fault location so it will have a good adaptability.
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Zhang, Y., Gong, Q., Shi, X. (2009). A Novel Adaptive Reclosure Criterion for HV Transmission Lines Based on Wavelet Packet Energy Entropy. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_95
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DOI: https://doi.org/10.1007/978-3-642-01513-7_95
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