Analisis Indeks Keandalan Pembangkit Listrik Tenaga Hibrid Angin-Surya Menggunakan Metode EENS
DOI:
https://doi.org/10.18196/st.v23i1.9602Keywords:
Reliability, renewable energy, hybrid system, wind energy, solar photovoltaic energy, EENSAbstract
Pengembangan sumber energi terbarukan, terutama pembangkit listrik tenaga angin dan surya sangat penting di Indonesia. Hal ini disebabkan kedua jenis pembangkit tersebut dinilai paling potensial dan realistis untuk mendukung program pengembangan energi terbarukan di Indonesia. Dalam penelitian ini disajikan studi tentang indeks keandalan pembangkit listrik hibrid tenaga angin dan surya. Metode untuk menganalisis indeks keandalan adalah metode EENS (expected energy not supplied). Dalam penelitian ini dilakukan analisis lapangan pada pembangkit listrik yang telah beroperasi di Kabupaten Bantul Provinsi Daerah Istimewa Yogyakarta. Hasil penelitian menunjukkan bahwa nilai EENS masih belum memenuhi standar yaitu <0,002% per tahun. Studi yang dilakukan pada tahun 2019 ini menyimpulkan bahwa pembangkit listrik hibrid berbasis tenaga angin dan surya ini belum dapat diandalkan untuk mendukung ketersediaan energi listrik di wilayah Bantul.
The development of renewable energy sources, especially wind and solar power plants, is very important in Indonesia. This fact is because these two types of power plants are considered the most potential and realistic to support renewable energy development programs in Indonesia. In this research, a study on the reliability index of wind and solar-based power plants is presented. The method for analyzing the reliability index is the EENS (expected energy not supplied) method. This study conducted a field analysis on a power plant that has been operated in Bantul district, Yogyakarta Special Region province. The results of the study show that the EENS value still does not meet the standard, namely <0.002% per year. The study conducted in 2019 concluded that wind and solar-based hybrid power plants could not be relied on to support the availability of electrical energy in the Bantul area.
References
Ahmed, J., Salam, Z. (2018). An Enhanced Adaptive P&O MPPT for Fast and Efficient Tracking Under Varying Environmental Conditions, IEEE Transactions on Sustainable Energy, 9(3), pp. 1487 – 1496.
Ardiyanto, Y., Sujoko, I.T., Wibowo, W.A., Nugraha, V.D.H., Saputra, F.E. (2019). Prototype Design of Unmanned Surface Ship to Detect Illegal Fishing Using Solar Power Generation Technology, Journal of Electrical Technology UMY (JET-UMY), 3(1), pp. 14-18.
Brusco, G., A. Burgio, D. Menniti, A. Pinnarelli, N. Sorrentino. (2014). Optimal Sizing of DGs for a CHP-Based Agro-Industrial Microgrid with a Priority Criteria Operational Strategy, International Review of Electrical Engineering (IREE), 9(2), pp. 351-362.
Farhat, S., Alaoui, R., Kahaji, A., Bouhouch, L., Ihlal, A. (2015). P&O and Incremental Conductance MPPT Implementation. International Review of Electrical Engineering (IREE), 10(1). pp. 116-122.
Ghasemi, M.A., Ramyar, A., Eini, H.I. (2018). MPPT Method for PV Systems Under Partially Shaded Conditions by Approximating I–V Curve, IEEE Transactions on Industrial Electronics, 65(5), pp. 3966 - 3975.
Hariadi, T.K., Derks, M., Jamal, A., Riyadi, S. (2018). Renewable Energy Investment for Middle and Upper Class Housing Sector in Indonesia: Investigating the Scope for a Change in Policy, Journal of Electrical Technology UMY (JET-UMY), 2(1), pp. 12-18.
Hossain, M.K., Ali, M.H. (2013). Overview on Maximum Power Point Tracking (MPPT) Techniques for Photovoltaic Power Systems. International Review of Electrical Engineering (IREE), 8(4). pp. 1363-1378.
Hui, J.C.y., Bakhshai, A., Jain, P.K. (2015). A Sensorless Adaptive Maximum Power Point Extraction Method With Voltage Feedback Control for Small Wind Turbines in Off-Grid Applications, IEEE Journal of Emerging and Selected Topics in Power Electronics, 3(3), pp. 817 - 828.
Hui, J.C.y., Bakhshai, A., Jain, P.K. (2016). An Energy Management Scheme With Power Limit Capability and an Adaptive Maximum Power Point Tracking for Small Standalone PMSG Wind Energy Systems, IEEE Transactions on Power Electronics, 31(7), pp. 4861 - 4875.
Jiang, R., Han, Y., Zhang, S. (2017). Wide-range, high-precision and low-complexity MPPT circuit based on perturb and observe algorithm, Electronics Letters, 53(16), pp. 1141 - 1142.
Kebede, M.H., Beyene, G.B. (2018). Feasibility Study of PV-Wind-Fuel Cell Hybrid Power System for Electrification of a Rural Village in Ethiopia. Journal of Electrical and Computer Engineering, 2018.
Metry, M., Shadmand, M.B., Balog, R.S., Abu-Rub, H. (2017). MPPT of Photovoltaic Systems Using Sensorless Current-Based Model Predictive Control, IEEE Transactions on Industry Applications, 53(2), pp. 1157 - 1167.
Mujaahid, F., Fauzi, A.M., Syahputra, R., Putra, K.T., Purwanto, K. (2017). Potentials of Organic Waste Conversion in a Green Campus Concept. Journal of Electrical Technology UMY (JET-UMY), 1(4), pp. 183-188.
Peng, B.R., Che, K., Liu, Y.H. (2018). A Novel and Fast MPPT Method Suitable for Both Fast Changing and Partially Shaded Conditions, IEEE Transactions on Industrial Electronics, 65(4), pp. 3240 - 3251.
Sher, H.A., Addoweesh, K.E., Al-Haddad, K. (2018). An Efficient and Cost-Effective Hybrid MPPT Method for a Photovoltaic Flyback Microinverter, IEEE Transactions on Sustainable Energy, 9(3), pp. 1137 - 1144.
Syahputra, R., Soesanti, I. (2017). Modeling of Wind Power Plant with Doubly-Fed Induction Generator. Jurnal Teknologi, Journal of Electrical Technology UMY (JET-UMY), 1(3), pp. 126-134.
Syahputra, R., Soesanti, I., Ashari, M. (2016). Performance Enhancement of Distribution Network with DG Integration Using Modified PSO Algorithm. Journal of Electrical Systems (JES), 12(1), pp. 1-19.
Syahputra, R. (2017). Distribution Network Optimization Based on Genetic Algorithm. Jurnal Teknologi, Journal of Electrical Technology UMY (JET-UMY), 1(1), pp. 1-9.
Tang, L., Xu, W., Mu, C. (2017). Analysis for step-size optimisation on MPPT algorithm for photovoltaic systems, IET Power Electronics, 10(13), pp. 1647 - 1654.
Zhang, Y., Zhang, L., and Liu, Y. (2019). Implementation of Maximum Power Point Tracking Based on Variable Speed Forecasting for Wind Energy Systems. Processes. 7. 158. 10.3390/pr7030158.
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