Comparative Analysis of the Snake and Grasshopper Optimization Algorithms in Improving Reliability Indices of the 330kV Grid of Nigeria

International Journal of Electrical and Electronics Engineering

© 2025 by SSRG - IJEEE Journal

Volume 12 Issue 7

Year of Publication : 2025

Authors : Maman Jimoh Lawal, Oghenewvogaga Oghorada, Babatunde Adetokun

10.14445/23488379/IJEEE-V12I7P110

How to Cite?

Maman Jimoh Lawal, Oghenewvogaga Oghorada, Babatunde Adetokun, "Comparative Analysis of the Snake and Grasshopper Optimization Algorithms in Improving Reliability Indices of the 330kV Grid of Nigeria," SSRG International Journal of Electrical and Electronics Engineering, vol. 12,  no. 7, pp. 147-157, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I7P110

Abstract:

Nigeria’s 330kV transmission network has long been plagued by frequent failures, inefficiencies, and instability, resulting in widespread power outages and economic losses. This study addresses the reliability issues of the 330kV network of Nigeria by the application of Snake Optimization Algorithm (SOA) and Grasshopper Optimization Algorithm (GOA) to outage data obtained from the System Operator from 2022 to 2023. Using ETAP software, base values were established for the key reliability indices: ASAI, SAIDI, SAIFI, and CAIDI. The SOA and GOA significantly improve these metrics: ASAI increases from 0.9989 to 0.9999, while SAIDI, SAIFI, and CAIDI show substantial reductions, indicating fewer and shorter outages. Specifically, SAIDI dropped from 9.4140 to 1.3107 (SOA) and 1.0301 (GOA); SAIFI declines from 3.2684 to 0.9915 and 0.9738; and CAIDI declines from 2.8800 to 1.3220 and 1.0580. These results demonstrate the efficacy of the metaheuristic algorithms as optimisation techniques for improving power system reliability.

Keywords:

Grasshopper optimization algorithm, Grid, Reliability indices, Snake optimization algorithm.

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