Improved Technique to Diagnose Fault in IEEE Standard 14-Bus System
Ghada M. Amer1, Ayman S. Selmy2, Wael A. Mohamed3
1Ghada M. Amer*, Electrical Engineering Department, Benha faculty of Engineering, Benha University, Benha, Egypt.
2Ayman S. Selmy, Electrical Engineering Department, Benha faculty of Engineering, Benha University, Benha, Egypt.
3Wael A. Mohamed, Electrical Engineering Department, Benha faculty of Engineering, Benha University, Benha, Egypt,
Manuscript received on November 13, 2019. | Revised Manuscript received on 22 November, 2019. | Manuscript published on December 10, 2019. | PP: 2819-2824 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7191129219/2019©BEIESP | DOI: 10.35940/ijitee.B7191.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This study presents a new technique for fast detecting and diagnosing of power grids faults. Discrete Wavelet transform (DWT) has a major disadvantage of noise sensitivity. The proposed technique solves the problems of DWT, where a high precision classification of noisy and faulty signals could be obtained. Fusion between voltage and power readings is done to provide a more reliable and accurate decision to determine the exact location of the fault. In this technique, the learner classifier is used,and the system is trained for multiple situations where most faults may occur. All simulations were carried out and performed on the standard IEEE 14 bus system to check the efficiency and performance of the technique proposed. Simulation results demonstrate, as will be discussed, a strong effectiveness of the suggested approach relative to others. The main feature of the proposed technique is that it can differentiate between faulty and noisy signals and recognize the fault’s location quickly and with high reliability.
Keywords: Fault Diagnosis, IEEE Standard 14 bus System, Power Quality, Data fusion, DWT, Smart grids.
Scope of the Article: Design and Diagnosis