Optimal Capacity and Location Wind Turbine to Minimize Power Losses Using NSGA-II


Dieta Wahyu Asry Ningtias(1*), F. Danang Wijaya(2), Lesnanto Putra Multanto(3)

(1) Universitas Gadjah Mada
(2) Universitas Gadjah Mada
(3) Universitas Gadjah Mada
(*) Corresponding Author


Voltage deviations and power losses in the distribution network can be handled in various ways, such as adding diesel power plants and wind turbines. Adaut Village, Tanimbar Islands Regency, Maluku Province has installed a diesel power plant with a capacity of 1,200 kW, while the average hourly electricity load is 374.9 kW. Adaut Village has high wind potential that can be used for distributed generations namely wind turbine (WT). WT can be used to improve power quality in terms of power losses and voltage deviations. In adding WT, the capacity and location must be determined to get good power quality in terms of power loss and voltage deviation. The research applied an optimization technique for determining the capacity and location of WT using non-dominated sorting genetic algorithm II (NSGAII) with an objective function of power losses and voltage deviation. In addition, the economic aspects of the power plant were calculated using the levelized cost of energy (LCOE). The research used scenarios based on the number of WT installed. The best results were obtained in scenario IV or 4 WT with 1.38 kW on Bus 2, 422.43 kW on Bus 15, 834.33 kW on Bus 30, and 380.81 kW on Bus 31 which could reduce power losses by 80% with an LCOE value of Rp7,113.15/kWh. The addition of the WT could also increase the voltage profile to close to 1 pu, which means it can minimize the voltage deviation in the distribution network.


Wind Turbine;Non-Dominated Genetic Algorithm II;Power Loss;Voltage Deviation;Levelized Cost of Energy

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R.C.D. Sarikin, “Analisis Susut Daya dan Energi pada Jaringan Distribusi di PT. PLN (Persero) Rayon Panakkukang,” Jurnal Teknologi Elekterika, Vol. 16, No. 1, pp. 43-47, 2019.

S. Sugianto, A. Jaya, and B.A. Ashad, “Analisis Rugi-Rugi Daya Jaringan Distribusi Penyulang POLDA Area Makassar Utara dengan ETAP 12.6,” PROtek Jurnal Ilmiah Teknik Elektro, Vol. 7, No. 1, pp. 51-54, 2020.

Y. Prasetyo, A.C. Arifin, and T. Multazam, “Analisis Rekonfigurasi dan Penempatan Kapasitor untuk Meminimalkan Deviasi Tegangan pada Sistem Distribusi,” J. Geuthee Inst., Vol. 1, No. 2, pp. 117-126, 2018.

S.K. Injeti and V.K. Thunuguntla, “Optimal Integration of DGs into Radial Distribution Network in the Presence of Plug-in Electric Vehicles to Minimize Daily Active Power Losses and to Improve the Voltage Profile of the System Using Bio-inspired Optimization Algorithms,” Protection and Control of Modern Power Systems, Vol. 5, pp. 1-15, 2020.

E.S. Ali, S.M. Abd Elazim, and A.Y. Abdelaziz, “Ant Lion Optimization Algorithm for Optimal Location and Sizing of Renewable Distributed Generations,” Renewable Energy, Vol. 101, pp. 1311-1324, 2017.

M. Jesuli, R. Gianto, and M.I. Arsyad, “Pengaruh Pembangkit Tersebar Terhadap Rugi-Rugi Daya Sistem Distribusi Tenaga Listrik,” Jurnal Teknik Elektro Universitas Tanjungpura, Vol. 1, pp. 1-8, 2021.

R. Pena, R. Cardenas, J. Clare, and G. Asher, “Wind – Diesel Generation Using Doubly Fed Induction Machines,” IEEE Transactions on Energy Conversion, Vol. 23, No. 1, pp. 202-214, 2008.

R.A. Jabr and B.C. Pal, “Ordinal Optimisation Approach for Locating and Sizing of Distributed Generation,” IET Generation, Transmission & Distribution, Vol. 3, No. 8, pp. 713-723, 2009.

G. Aquila, W. Toshiro, and P. Rotella, “Perspectives under Uncertainties and Risk in Wind Farms Investments Based on Omega-LCOE Approach: An Analysis in Sao Paulo State, Brazil,” Renewable and Sustainable Energy Reviews, Vol. 141, pp. 1-13, 2021.

B.V. Reddy, “Sizing of DG Units Using Exact Loss Formula to Improve Efficiency of Radial Distribution System,” International Journal of Emerging Trends in Electrical and Electronics, Vol. 10, No. 1, pp. 13-17, 2014.

R. Afrianita and H.D. Laksono, “Studi Aliran Daya dengan Metoda Newton Raphson (Aplikasi PT. PLN Sumbar-Riau 150 KV),” Teknika, Vol. 27, No. 2, pp. 25-33, 2007.

D.S. Donoriyanto, A.S. Anam, and E.W. Pudji, “Application of Genetic Algorithm Method on Machine Maintenance,” Journal of Physics: Conference Series, Vol. 953, pp. 1-6, 2017.

K.S. Sambaiah, “A Review on Optimal Allocation and Sizing Techniques for DG in Distribution Systems,” International Journal of Renewable Energy Research, Vol. 8, No. 3, pp. 1236-1256, 2018.

A. Jam, M.M. Ardehali, and S.H. Hosseinian, “A Comprehensive Approach for Wind Turbine Generation Allocation with Accurate Analysis of Load Curtailment Using Nested Programming,” Energy, Vol. 133, pp. 1063-1078, 2017.

Sunarti, Kajian Penyediaan dan Pemanfaatan Migas, Batubara, EBT dan Listrik, 1st ed., Jakarta, Indonesia: Pusat Data dan Teknologi Informasi Energi dan Sumber Daya Mineral Kementerian Energi dan Sumber Daya Mineral, 2017.

DOI: https://doi.org/10.22146/ijitee.70161

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