Optimal Power Flow Using Flower Pollination Algorithm: A Case Study of 500 kV Java-Bali Power System


Fredi Prima Sakti(1*), Sarjiya Sarjiya(2), Sasongko Pramono Hadi(3)

(1) Department of Electrical Engineering & Information Technology, Universitas Gadjah Mada
(2) Department of Electrical Engineering & Information Technology, Universitas Gadjah Mada
(3) Department of Electrical Engineering & Information Technology, Universitas Gadjah Mada
(*) Corresponding Author


Flower Pollination Algorithm (FPA) is one of metaheuristic methods that is widely used in optimization problems. This method was inspired by the nature of flower pollination. In this research, FPA is applied to solve Optimal Power Flow (OPF) problems with case study of 500 kV Java-Bali power system in Indonesia. The system consists of 25 bus with 30 lines and 8 generating units. Control variables are generation of active power and voltage magnitude at PV bus and swing bus under several power system constraints. The results show that FPA method is capable of solving OPF problem. This method decreased the generator fuel cost of PT. PLN (Persero), the state-owned company in charge of providing electricity in Indonesia, up to 13.15%.


Optimal power flow, flower pollination algorithm, Java-Bali 500 kV system, voltage magnitude, capacity of the transmission line.

Full Text:



[1] PT. PLN (Persero), “Catalogue in Publication PLN Statistics 2015.” PT.PLN (Persero), ISSN : 0852-8179, 2016.

[2] H. Saadat, Power System Analysis. New York: WCB McGraw-Hil, 1998.

[3] J. Yuryevich and K. P. Wong, “Evolutionary Programming Based Optimal Power Flow Algorithm,” IEEE Trans. Power Syst., vol. 14, no. 4, pp. 1245–1250, 1999.

[4] A. A. Abou El Ela, M. A. Abido, and S. R. Spea, “Optimal Power Flow Using Differential Evolution Algorithm,” Electr. Power Syst. Res., vol. 80, no. 7, pp. 878–885, 2010.

[5] I. Oumarou, P. D. Jiang, and P. C. Yijia, “Particle Swarm Optimization Applied to Optimal Power Flow Solution,” Fifth International Conference on Natural Computation, 2009.

[6] M. S. Osman, M. A. Abo-Sinna, and A. A. Mousa, “A Solution to the Optimal Power Flow Using Genetic Algorithm,” Appl. Math. Comput., vol. 155, no. 2, pp. 391–405, 2004.

[7] B. S. Kumar, M. Suryakalavathi, and G. V. N. Kumar, “Optimal Power Flow With Static VAR Compensator Based on Flower Pollination Algorithm to Minimize Real Power Losses,” Conf. Power, Control. Commun. Comput. Technol. Sustain. Growth, PCCCTSG 2015, no. 2, pp. 112–116, 2016.

[8] D. L. Pravallika and B. V. Rao, “Flower Pollination Algorithm Based Optimal Setting of TCSC to Minimize the Transmission Line Losses in the Power System,” Procedia Comput. Sci., vol. 92, pp. 30–35, 2016.

[9] J. A. Regalado, E. B. E, and E. Cuevas, “Optimal Power Flow Solution Using Modified Flower Pollination Algorithm,” IEEE Int. Autumn Meet. Power, Electron. Comput., 2015.

[10] B. Mahdad and K. Srairi, “Security Constrained Optimal Power Flow Solution Using New Adaptive Partitioning Flower Pollination Algorithm,” Appl. Soft Comput., vol. 46, pp. 501–522, 2016.

[11] X.-S. Yang, “Flower Pollination Algorithm for Global Optimization,” Unconv. Comput. Nat. Comput. 2012, Lect. Notes Comput. Sci., vol. 7445, pp. 240–249, 2012.

[12] X. S. Yang, M. Karamanoglu, and X. He, “Multi-objective Flower Algorithm for Optimization,” Procedia Comput. Sci., vol. 18, no. JUNE, pp. 861–868, 2013.

[13] Yassir, Sarjiya, and T. Haryono, “Algoritma Genetika Sebagai Solusi Optimal Power Flow Pada Sistem Kelistrikan 500 kV Jawa Bali,” Transmisi, vol. 15, no. 2, pp. 107–113, 2013.

[14] Taqiyuddin, Sarjiya, and S. P. Hadi, “Studi Optimal Power Flow pada Sistem Kelistrikan 500 kV Jawa-Bali dengan Menggunakan Particle Swarm Optimization ( PSO ),” JNTETI, vol. 2, no. 3, 2013.

[15] Regulation of the Minister of Energy and Mineral Resources of the Republic of Indonesia Number 3 Year 2007, 2007.

DOI: https://doi.org/10.22146/ijitee.28363

Article Metrics

Abstract views : 471 | views : 234


  • There are currently no refbacks.

Copyright (c) 2017 IJITEE (International Journal of Information Technology and Electrical Engineering)

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

ISSN  : 2550-0554 (online)

Contact :

Department of Electrical engineering and Information Technology, Faculty of Engineering
Universitas Gadjah Mada

Jl. Grafika No 2 Kampus UGM Yogyakarta

+62 (274) 552305

Email : ijitee.ft@ugm.ac.id


International Journal of Information Technology and Electrical Engineering (IJITEE) Indexed by :