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Optimal power flow for distribution networks using gravitational search algorithm

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Abstract

This paper presents a gravitational search algorithm (GSA)-based approach to solve the optimal power flow (OPF) problem in a distribution network with distributed generation (DG) units. The OPF problem is formulated as a nonlinear optimization problem with equality and inequality constraints, where optimal control settings in case of fuel cost minimization of DG units, power loss minimization in the distribution network, and finally simultaneous minimization of the fuel cost and power loss are obtained. The proposed approach is tested on an 11-node test system and on a modified IEEE 34-node test system. Simulation results obtained from the proposed GSA approach are compared with that obtained using a genetic algorithm approach. The results show the effectiveness and robustness of the proposed GSA approach.

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Acknowledgments

This paper presents the part of results of the Project TR 33046 funded by the Ministry of Education, Science and Technological Development of the Republic of Serbia.

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Authors and Affiliations

  1. Faculty of Technical Sciences, University of Priština in Kosovska Mitrovica, Kneza Miloša 7, 38220 , Kosovska Mitrovica, Serbia

    Jordan Radosavljević, Miroljub Jevtić, Nebojša Arsić & Dardan Klimenta

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  1. Jordan Radosavljević
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  2. Miroljub Jevtić
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  3. Nebojša Arsić
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  4. Dardan Klimenta
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Correspondence to Jordan Radosavljević.

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Radosavljević, J., Jevtić, M., Arsić, N. et al. Optimal power flow for distribution networks using gravitational search algorithm. Electr Eng 96, 335–345 (2014). https://doi.org/10.1007/s00202-014-0302-5

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  • DOI: https://doi.org/10.1007/s00202-014-0302-5

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