Optimal Allocation of Multiple Distributed Generators Based on Hybrid Technique for Reduction of Power Loss

International Journal of Electrical and Electronics Engineering

© 2023 by SSRG - IJEEE Journal

Volume 10 Issue 7

Year of Publication : 2023

Authors : S. Sreedevi, G. Angeline Ezhilarasi

10.14445/23488379/IJEEE-V10I7P101

How to Cite?

S. Sreedevi, G. Angeline Ezhilarasi, "Optimal Allocation of Multiple Distributed Generators Based on Hybrid Technique for Reduction of Power Loss," SSRG International Journal of Electrical and Electronics Engineering, vol. 10,  no. 7, pp. 1-21, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I7P101

Abstract:

Recently, distributed generation unit selection for the electric distribution area has been essential. The decrement in power loss, environmental pollution, enhanced nodal magnitude enhancement, and reliability is possible by applying an optimal selection of DG units. This research combines the spider monkey optimisation algorithm (SMOA) with the flower pollination algorithm (FPA) to determine the distributed generators’ favourable place and value. The behaviour of SMOA is also enriched with the action of FPA. Optimally selected distributed generation units aim to diminish the active power loss and raise the nodal magnitude in the distribution network. This planned technique is enforced through IEEE 33 and IEEE 69 standard systems for multiple distributed generators with numerous load levels. This is also processed to different types of loads. The result is executed through MATLAB/Simulink, and the numerical values are correlated with existing optimisation procedures to confirm their validation.

Keywords:

Distributed generators, Spider monkey optimization algorithm, Flower pollination algorithm, Loss reduction of active power, Bus magnitude improvement.

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