Optimal Capacitor Placement Using Tabu Search Algorithm to Improve the Operational Efficiency in GEPCO Network

International Journal of Electrical and Electronics Engineering

© 2021 by SSRG - IJEEE Journal

Volume 8 Issue 10

Year of Publication : 2021

Authors : Muzamil Faiz, Abdul Qadir Chang, Nosheen Memon, Agha Zafar Ullah Pathan

10.14445/23488379/IJEEE-V8I10P101

How to Cite?

Muzamil Faiz, Abdul Qadir Chang, Nosheen Memon, Agha Zafar Ullah Pathan, "Optimal Capacitor Placement Using Tabu Search Algorithm to Improve the Operational Efficiency in GEPCO Network," SSRG International Journal of Electrical and Electronics Engineering, vol. 8,  no. 10, pp. 1-5, 2021. Crossref, https://doi.org/10.14445/23488379/IJEEE-V8I10P101

Abstract:

Capacitor banks provide local to the system and are utilized for improvement of operational parameters in distribution network from last few decades. Optimal capacitor placement has a number of advantages, such as improvement in voltage profile, reduction in technical losses, and increasing the availability of additional MVA capacities of power system equipment. A case study is presented here in which two express networks of GEPCO (SCARP 1 & 2) are analyzed, and capacitor bank sizing and locations are optimized using the Tabu search algorithm. DIgSILENT power factory software is used to model the network with real-time data, and the results obtained are compared with actual locations. These results show that the algorithm is robust enough to apply for optimization purposes in larger networks.

Keywords:

Tabu search algorithm, optimization, DIgSILENT, capacitor bank, technical losses, sub-transmission system.

References:

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