Distribution Network Optimization Based on Genetic Algorithm

Authors

  • Ramadoni Syahputra Universitas Muhammadiyah Yogyakarta

DOI:

https://doi.org/10.18196/jet.1101

Keywords:

Distribution network, Optimization, Network Reconfiguration, Genetic Algorithm, Multi-objective

Abstract

This paper presents a new robust optimization technique for distribution network configuration, which can be regarded as a modification of the recently developed genetic algorithm. The multi-objective genetic algorithm has been applied to this problem to optimize the total cost while simultaneously minimize the power loss and maximize the voltage profile. The IEEE 69-bus distribution network is used in the tests, and test results have shown that the algorithm can determine the set of optimal nondominated solutions. It allows the utility to obtain the optimal configuration of the network to achieve the best system with the lowest cost.

Author Biography

Ramadoni Syahputra, Universitas Muhammadiyah Yogyakarta

Department of Electrical Engineering

References

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., Robandi, I., Ashari, M. (2014). “Optimal Distribution Network Reconfiguration with

Penetration of Distributed Energy Resources”, Proceeding of 2014 1st International Conference on

Information Technology, Computer, and Electrical Engineering (ICITACEE) 2014, UNDIP Semarang, pp. 388 - 393.

Syahputra, R., (2012), “Fuzzy Multi-Objective Approach for the Improvement of Distribution Network Efficiency by Considering DG”, International Journal of Computer Science & Information Technology (IJCSIT), Vol. 4, No. 2, pp. 57-68.

Syahputra, R., (2012), “Distributed Generation: State of the Arts dalam Penyediaan Energi Listrik”, LP3M UMY, Yogyakarta, 2012.

Syahputra, R., (2016), “Transmisi dan Distribusi Tenaga Listrik”, LP3M UMY, Yogyakarta, 2016.

Syahputra, R., Robandi, I., Ashari, M. (2014). Optimization of Distribution Network Configuration with Integration of Distributed Energy Resources Using Extended Fuzzy Multi-objective Method. International Review of Electrical Engineering (IREE), 9(3), pp. 629-639.

Syahputra, R. (2016). Application of Neuro-Fuzzy Method for Prediction of Vehicle Fuel Consumption. Journal of Theoretical and Applied Information Technology (JATIT), 86(1), pp. 138-149.

Syahputra, R., Robandi, I., Ashari, M. (2015). Performance Improvement of Radial Distribution Network with Distributed Generation Integration Using Extended Particle Swarm Optimization Algorithm. International Review of Electrical Engineering (IREE), 10(2). pp. 293-304.

Syahputra, R., Robandi, I., Ashari, M. (2015). Reconfiguration of Distribution Network with DER Integration Using PSO Algorithm. TELKOMNIKA, 13(3). pp. 759-766.

Syahputra, R., Robandi, I., Ashari, M. (2015). PSO Based Multi-objective Optimization for Reconfiguration of Radial Distribution Network. International Journal of Applied Engineering Research (IJAER), 10(6), pp. 14573-14586.

Syahputra, R., Robandi, I., Ashari, M., (2012), “Reconfiguration of Distribution Network with DG Using Fuzzy Multi-objective Method”, International Conference on Innovation, Management and Technology Research (ICIMTR), May 21-22, 2012, Melacca, Malaysia.

Jamal, A., Syahputra, R. (2012), “Adaptive NeuroFuzzy Approach for the Power System Stabilizer Model in Multi-machine Power System”, International Journal of Electrical & Computer Sciences (IJECS), Vol. 12, No. 2, 2012.

Syahputra, R., Soesanti, I. (2016). Application of Green Energy for Batik Production Process. Journal

of Theoretical and Applied Information Technology (JATIT), 91(2), pp. 249-256.

Syahputra, R., Robandi, I., Ashari, M. (2014). Performance Analysis of Wind Turbine as a Distributed Generation Unit in Distribution System. International Journal of Computer Science & Information Technology (IJCSIT), Vol. 6, No. 3, pp. 39-56.

Jamal, A., Suripto, S., Syahputra, R. (2015). MultiBand Power System Stabilizer Model for Power Flow Optimization in Order to Improve Power System Stability. Journal of Theoretical and Applied Information Technology, 80(1), pp. 116-123.

Syahputra, R., Soesanti, I. (2016). An Optimal Tuning of PSS Using AIS Algorithm for Damping

Oscillation of Multi-machine Power System. Journal of Theoretical and Applied Information Technology (JATIT), 94(2), pp. 312-326.

Soesanti, I., Syahputra, R. (2016). Batik Production Process Optimization Using Particle Swarm

Optimization Method. Journal of Theoretical and Applied Information Technology (JATIT), 86(2), pp. 272-278.

Jamal, A., Syahputra, R. (2016). Heat Exchanger Control Based on Artificial Intelligence Approach.

International Journal of Applied Engineering Research (IJAER), 11(16), pp. 9063-9069.

Syahputra, R. (2015). Characteristic Test of Current Transformer Based EMTP Shoftware. Jurnal Teknik Elektro, 1(1), pp. 11-15.

Syahputra, R., Soesanti, I. (2015). Power System Stabilizer model based on Fuzzy-PSO for improving

power system stability. 2015 International Conference on Advanced Mechatronics, Intelligent

Manufacture, and Industrial Automation (ICAMIMIA), Surabaya, 15-17 Oct. 2015 pp. 121 - 126.

Syahputra, R., Robandi, I., Ashari, M., (2013), “Distribution Network Efficiency Improvement Based on Fuzzy Multi-objective Method”. International Seminar on Applied Technology, Science and Arts (APTECS). 2013; pp. 224-229.

Syahputra, R., Soesanti, I. (2015). “Control of Synchronous Generator in Wind Power Systems Using Neuro-Fuzzy Approach”, Proceeding of International Conference on Vocational Education and Electrical Engineering (ICVEE) 2015, UNESA Surabaya, pp. 187-193.

Syahputra, R., (2013), “A Neuro-Fuzzy Approach For the Fault Location Estimation of Unsynchronized Two-Terminal Transmission Lines”, International Journal of Computer Science & Information Technology (IJCSIT), Vol. 5, No. 1, pp. 23-37.

Jamal, A., Syahputra, R. (2013). UPFC Based on Adaptive Neuro-Fuzzy for Power Flow Control of

Multimachine Power Systems. International Journal of Engineering Science Invention (IJESI), 2(10), pp. 05-14.

Syahputra, R. (2010). Fault Distance Estimation of Two-Terminal Transmission Lines. Proceedings of

International Seminar on Applied Technology, Science, and Arts (2nd APTECS), Surabaya, 21-22

Dec. 2010, pp. 419-423.

Syahputra, R., Soesanti, I. (2016). DFIG Control Scheme of Wind Power Using ANFIS Method in

Electrical Power Grid System. International Journal of Applied Engineering Research (IJAER), 11(7), pp. 5256-5262.

Jamal, A., Suripto, S., Syahputra, R. (2016). Performance Evaluation of Wind Turbine with Doubly-Fed Induction Generator. International Journal of Applied Engineering Research (IJAER), 11(7), pp. 4999-5004.

Syahputra, R., Soesanti, I. (2016). Design of Automatic Electric Batik Stove for Batik Industry. Journal of Theoretical and Applied Information Technology (JATIT), 87(1), pp. 167-175.

Jamal, A., Syahputra, R. (2014). Power Flow Control of Power Systems Using UPFC Based on Adaptive Neuro Fuzzy. IPTEK Journal of Proceedings Series. 2014; 1(1): pp. 218-223.

Syahputra, R., Soesanti, I. (2016). Power System Stabilizer Model Using Artificial Immune System for Power System Controlling. International Journal of Applied Engineering Research (IJAER), 11(18), pp. 9269-9278.

Syahputra, R., (2014), “Estimasi Lokasi Gangguan Hubung Singkat pada Saluran Transmisi Tenaga

Listrik”, Jurnal Ilmiah Semesta Teknika Vol. 17, No. 2, pp. 106-115, Nov 2014.

Jamal, A., Syahputra, R., (2011), “Design of Power System Stabilizer Based on Adaptive Neuro-Fuzzy Method”. International Seminar on Applied Technology, Science and Arts (APTECS). 2011; pp. 14-21.

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Published

2017-03-01

How to Cite

Syahputra, R. (2017). Distribution Network Optimization Based on Genetic Algorithm. Journal of Electrical Technology UMY, 1(1), 1–9. https://doi.org/10.18196/jet.1101

Issue

Vol. 1 No. 1 (2017)

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