Transmission network expansion planning: best so far solution using hermit crab shell exchange algorithm

In this research, a recently developed meta-heuristic technique in the field of nature inspired algorithms (NIAs), namely, the hermit crab shell exchange (HCSE) algorithm is applied on the transmission network expansion planning (TNEP) problem. In this work, HCSE is applied with contingency-based security constrained TNEP (SeTNEP) with DCOPF for standard Graver's six bus test system and Brazilian 46 bus test system. Also TNEP with ACOPF for standard Graver's six bus test system and IEEE 24 bus test system is considered. The outcomes were evaluated against other renowned algorithms and deterministic methods that are available in the literature. The results reveal that the HCSE algorithm has accurately and proficiently solved the TNEP problem in these test scenarios.

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Publication Details

Journal
International Journal of Mathematical Modelling and Numerical Optimisation
Published
2025-01-01
DOI
https://doi.org/10.1504/ijmmno.2025.147572
Primary Topic
Electric Power System Optimization
Type
article
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article

Transmission network expansion planning: best so far solution using hermit crab shell exchange algorithm

Divya Rajoria, Nirmala Sharma, Ajay Sharma
International Journal of Mathematical Modelling and Numerical Optimisation
Electric Power System Optimization
article

Transmission network expansion planning: best so far solution using hermit crab shell exchange algorithm

Divya Rajoria, Nirmala Sharma, Ajay Sharma
article en

Abstract

In this research, a recently developed meta-heuristic technique in the field of nature inspired algorithms (NIAs), namely, the hermit crab shell exchange (HCSE) algorithm is applied on the transmission network expansion planning (TNEP) problem. In this work, HCSE is applied with contingency-based security constrained TNEP (SeTNEP) with DCOPF for standard Graver's six bus test system and Brazilian 46 bus test system. Also TNEP with ACOPF for standard Graver's six bus test system and IEEE 24 bus test system is considered. The outcomes were evaluated against other renowned algorithms and deterministic methods that are available in the literature. The results reveal that the HCSE algorithm has accurately and proficiently solved the TNEP problem in these test scenarios.

International Journal of Mathematical Modelling and Numerical OptimisationVol. 15(3)
Rajasthan Technical University (IN)
Openalex Percentile: Top 84%
Electric Power System Optimization
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Transmission network expansion planning: best so far solution using hermit crab shell exchange algorithm — Divya Rajoria, Nirmala Sharma, et al. · International Journal of Mathematical Modelling and Numerical Optimisation (2025) | TGRS Research Map | TGRS