Maximum Power Point Tracking dengan Metode Modified Human Psychology Optimization pada Kondisi Partial Shading

MOH. ZAENAL EFENDI, LUCKY PRADIGTA SETIYA RAHARJA, MOCHAMMAD RODY DWIRANTONO, FEBY CHANDRA ARSANDI, NABILA LUTFIAH

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ABSTRAK

Panel surya memiliki kemungkinan tertutup saat menerima sinar matahari sehingga terjadi kondisi partial shading yang berpengaruh pada daya panel surya. Kita dapat memaksimalkan daya keluaran panel surya dengan Metode Maximum Power Point Tracking (MPPT). MPPT konvensional memiliki kemungkinan terjebak pada kondisi Local Peak (LP) sehingga daya yang dihasilkan tidak maksimal. Untuk mengatasi hal itu digunakan metode Modified Human Psychology Optimization (MHPO) pada kondisi partial shading sehingga MPPT dapat mencapai Global Peak (GP). Metode MHPO diterapkan pada Flyback Converter untuk melihat performansinya. Metode MHPO memiliki akurasi rata-rata di atas 98,75% dan waktu tracking yaitu 0,29 detik. Metode MHPO dapat mencapai kenaikan daya maksimum mencapai 45,57% dibandingkan dengan metode Human Psychology Optimization (HPO). Dengan metode MHPO dapat meningkatkan hasil keluaran daya panel surya pada kondisi partial shading.

Kata kunci: Panel Surya; Partial Shading; MPPT; MHPO; Flyback Converter.

 

ABSTRACT

Solar panels have the possibility of being closed when receiving sunlight so that partial shading conditions occur which affect the power of the solar panels. We can maximize the output power of solar panels with the Maximum Power Point Tracking (MPPT) Method. Conventional MPPT has the possibility of being trapped in the Local Peak (LP) condition so that the power generated is not optimal. To overcome this problem, the Modified Human Psychology Optimization (MHPO) method is used in partial shading conditions so that MPPT can reach Global Peak (GP). The MHPO method is applied to the Flyback Converter to see its performance. The MHPO method has an average accuracy of over 98.75% and a tracking time of 0.29 seconds. The MHPO method can achieve a maximum power increase of 45.57% compared to the Human Psychology Optimization (HPO) method. The MHPO method can increase the output power of solar panels in partial shading conditions.

Keywords: Solar Panels; Partial Shading; MPPT; MHPO; Flyback Converter.


Kata Kunci


Panel Surya; Partial Shading; MPPT; MHPO; Flyback Converter

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Referensi


Anoune, K., Bouya, M., Ghazouani, M., Astito, A., & Abdellah, A. Ben. (2016). Hybrid Renewable Energy System to Maximize the Electrical Power Production. International Renewable and Sustainable Energy Conference (IRSEC), (pp. 533–539).

Dirmawan, M. A., Suhariningsih, & Rakhmawati, R. (2020). The Comparison Performance of MPPT Perturb and Observe, Fuzzy Logic Controller, and Flower Pollination Algorithm in Normal and Partial Shading Condition. International Electronics Symposium (IES), (pp. 7–13).

Fitriyah, F., Efendi, M. Z., & Dwi Murdianto, F. (2020). Modeling and Simulation of MPPT ZETA Converter Using Human Psychology Optimization Algorithm Under Partial Shading Condition. International Electronics Symposium (IES), (pp. 14–20).

Furtado, A. M. S., Bradaschia, F., Cavalcanti, M. C., Limongi, L. R., & Azevedo, G. M. S. (2017). Power Voltage Characteristics and Global MPPT Algorithms for Any Severe Partial Shading Condition. Brazilian Power Electronics Conference (COBEP), (pp. 1–6).

Gatto, G., Lai, A., Marongiu, I., & Serpi, A. (2016). Circuital and Mathematical Modelling of Flyback Converters. International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), (pp. 906–911).

Haji, D., & Genc, N. (2018). Fuzzy and P&O Based MPPT Controllers Under Different Conditions. International Conference on Renewable Energy Research and Applications (ICRERA), (pp. 649–655).

Huynh, D. C., Nguyen, T. M., Dunnigan, M. W., & Mueller, M. A. (2013). Global MPPT of Solar PV Modules Using a Dynamic PSO Algorithm Under Partial Shading Conditions. IEEE Conference on Clean Energy and Technology (CEAT), (pp. 134–139).

Ishikawa, J., Nakata, A., Torii, A., Doki, K., & Mototani, S. (2014). A DC Voltage Estimation at the Maximum Power Point of a Series Parallel Connection PV System with Partial Shade. International Symposium on Micro-Nano Mechatronics and Human Science (MHS), (pp. 1–6).

Johny, L. M. K., & Shafeeque, K. M. (2014). PV Fed Flyback DC-AC Inverter with MPPT Control. Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives (AICERA/ICMMD), (pp. 1–6).

Kumar, D., Amarnath, Jain, R., & Singh, R. K. (2019). Comparison of Non-Isolated Boost Converter & Isolated Flyback Converter for PV Application. International Conference on Innovations in Control, Communication and Information Systems (ICICCI).

Kumar, N., Hussain, I., Singh, B., & Panigrahi, B. K. (2017). Single Sensor Based MPPT for Partially Shaded Solar Photovoltaic by Using Human Psychology Optimisation Algorithm. IET Generation, Transmission & Distribution, 11(10), (pp. 2562–2574).

Liu, Y.-H., Huang, S.-C., Huang, J.-W., & Liang, W.-C. (2012). A Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for PV Systems Operating Under Partially Shaded Conditions. IEEE Transactions on Energy Conversion, 27(4), (pp. 1027–1035).

Murdianto, F. D., Efendi, M. Z., Setiawan, R. E., & Hermawan, A. S. L. (2017). Comparison Method of MPSO, FPA, and GWO Algorithm in MPPT SEPIC Converter Under Dynamic Partial Shading Condition. International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA), (pp. 315–320).

Patil, S. P., Patil, R. R., Mulla, A. M., & Patil, S. D. (2017). Performance Analysis of Interleaved Flyback Inverter Topology for Single Phase High Power Application Using MATLAB Simulink. International Conference on Circuit, Power and Computing Technologies (ICCPCT), (pp. 1–5).

Rony, Y., Kartini, U. T., Wrahatnolo, T., Elektro, J. T., Teknik, F., & Surabaya, U. N. (2022). Pemodelan Transfer Energi Smartgrid Potovoltaic Dengan Sensor Suhu Untuk Efisisensi Energi. 4(2),(pp. 89–98).

Singh, R., Bose, S., & Dwivedi, P. (2020). Closed Loop Control of Flyback Converter with PV as a Source. IEEE 9th Power India International Conference (PIICON), (pp. 1–6).




DOI: https://doi.org/10.26760/elkomika.v10i4.976

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