Electricity Theft Mitigation at Low Voltage Distribution End Using Indirect Matrix Converter
AbstractThis paper presents the design and implementation of an indirect matrix converter for electricity theft mitigation at low voltage distribution network. The power distribution network saddle with the responsivity of delivering electricity to consumers are been face with electricity theft through meter bypassing and hook up connections, causing significant financial inflow problem to the utility company, particularly in a developing country. A step-down indirect matrix converter was designed and simulated with a frequency range of (10 – 20Hz) at the converter’s output. The analysis of the results favours the choose of 10Hz being the wort-case scenario to mitigate electricity with a total harmonic distortion (THD) of 204.99%. With different resistive and inductive loads, the effectiveness of the real-world system was investigated and the effects of lowering the frequency from 50Hz to 10Hz were observed and in particular make the electricity unusable. The proposed system is intended to be connected at the output of the distribution transformer to convert the power frequency to 10Hz and the other unit incorporated to the meter at the consumer end to convert their power frequency to 50Hz to make it usable. This system prevents unregistered clients from using the electricity, substantially lowering electricity theft and boosting the utility company's bottom line. In comparison to previous studies, the key advantage of matrix converters is that they don't require a DC-Link capacitor, making them more reliable and suitable for installation at the customer's premises.
Abel, S., Tsado, J., & Tola, O. J. (2022). Mitigation of Electricity Theft at Low Distribution Voltage End Using Matrix Converter. Proceedings of the 5th International Conference on Information Technology for Education and Development: Changing the Narratives Through Building a Secure Society with Disruptive Technologies, ITED 2022, 1–5. https://doi.org/10.1109/ITED56637.2022.10051599
Ali, S., Yongzhi, M., & Ali, W. (2023). Prevention and Detection of Electricity Theft of Distribution Network. Sustainability, 15(6), 4868. https://doi.org/10.3390/su15064868
Aminu, M. A. (2020). 5-Hz Distribution System for Mitigation of Energy Theft by Residential Consumers. Frontiers in Energy Research, 7(January). https://doi.org/10.3389/fenrg.2019.00153
Blazakis, K. V., Kapetanakis, T. N., & Stavrakakis, G. S. (2020). Effective electricity theft detection in power distribution grids using an adaptive neuro fuzzy inference system. Energies, 13(12). https://doi.org/10.3390/en13123110
Gong, Z., Dai, P., Li, J., Su, D., & Su, X. (2023). Topology and Modulation for a New Indirect Matrix Converter to Reduce the Common-Mode Voltage. IEEE Transactions on Industrial Electronics, 70(7), 6518–6529. https://doi.org/10.1109/TIE.2022.3203745
Hashmi, M. U., & Priolkar, J. G. (2015). Anti-theft energy metering for smart electrical distribution system. 2015 International Conference on Industrial Instrumentation and Control, ICIC 2015, 1424–1428. https://doi.org/10.1109/IIC.2015.7150972
Jaiswal, S., & Ballal, M. S. (2020). Fuzzy Inference Based Electricity Theft Prevention System to Restrict Direct Tapping Over Distribution Line. Journal of Electrical Engineering and Technology, 15(3), 1095–1106. https://doi.org/10.1007/s42835-020-00408-7
Lei, J., Huang, X., Wheeler, P., Xia, Y., Zhao, J., & Chen, W. (2022). Matrix Converter Based on Trapezoidal Current Injection. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2(Mc). https://doi.org/10.1109/JESTPE.2022.3216862
Obafemi, M. O., Oluwole, E. A., Omoniyi, T. E., Meduna, P. ., & Alaye, A. S. (2022). Prevalence of electricity theft among households in Lagos State, Nigeria. Nigerian Journal of Technology, 40(5), 872–881. https://doi.org/10.4314/njt.v40i5.13
Okelola, M. O., Amoo, A. L., & Soremekun, R. K. (2019). Power Quality Events Segmentation in a Voltage Waveform using Joint Triggering Point Detection Scheme. FUOYE Journal of Engineering and Technology, 4(1), 8–12. https://doi.org/10.46792/fuoyejet.v4i1.262
Olaoluwa, O. (2017). Electricity theft and power quality in Nigeria. International Journal of Engineering Research, 6(6), 1180–1184. https://www.academia.edu/download/60803763/electricity-theft-and-power-quality-in-nigeria-IJERTV6IS06049220191005-121020-khqmdl.pdf
Otuoze, A. O., Mustafa, M. W., Sofimieari, I. E., Dobi, A. M., Sule, A. H., Abioye, A. E., & Saeed, M. S. (2019). Electricity theft detection framework based on universal prediction algorithm. Indonesian Journal of Electrical Engineering and Computer Science, 15(2), 758–768. https://doi.org/10.11591/ijeecs.v15.i2.pp758-768
Prachal Jadeja. (2015). Detection and Instantaneous Prevention of Power Theftn. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), 10(1), 01–03. https://doi.org/10.9790/1676-10120103
Praženica, M., Resutík, P., & Kaščák, S. (2023). Practical Implementation of the Indirect Control to the Direct 3 × 5 Matrix Converter Using DSP and Low-Cost FPGA. Sensors (Basel, Switzerland), 23(7). https://doi.org/10.3390/s23073581
Rmili, L., Ktata, S., Yefrni, K., Rahmani, S., & Al-Haddad, K. (2023). Overview of Matrix Converter: Topologies and Modulation. February, 465–470. https://doi.org/10.1109/sta56120.2022.10018982
Shokoya N. O., & Raji A. K. (2019). Electricity theft mitigation in the Nigerian power sector. International Journal of Engineering & Technology, 8(4), 467. https://doi.org/10.14419/ijet.v8i4.29391
Tawfiq, K. B., Ibrahim, M. N., & Sergeant, P. (2022). Power Loss Analysis of a Five-Phase Drive System Using a Synchronous Reluctance Motor and an Indirect Matrix Converter with Reduced Switching Losses. Machines, 10(9). https://doi.org/10.3390/machines10090738
Thangalakshmi, S., Sangeetha bharath, G., & Muthu, S. (2015). Power Theft Prevention in Distribution System Using Smart Devices. International Journal of Applied Engineering Research - IJAER, 10(42), 30841–30845. http://www.ripublication.comijaer.htm
Vincent Ekow Arkorful. (2022). Unravelling electricity theft whistleblowing antecedents using the theory of planned behavior and norm activation model. Energy Policy, 160(112680). https://doi.org/10.1016/j.enpol.2021.112680
Wabukala, B. M., Mukisa, N., Watundu, S., Bergland, O., Rudaheranwa, N., & Adaramola, M. S. (2023). Impact of household electricity theft and unaffordability on electricity security: A case of Uganda. Energy Policy, 173(December 2022). https://doi.org/10.1016/j.enpol.2022.113411
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