A multi-parameter and barrier-based approach to GIS modernization planning in Kuwait's yransmission network

Alomari, Majdi M., EL-Kanj, Hania, Dirawieh, Abdel-Wahab B., Alshdaifat, Nafesah I., Topal, Ayse and Alhalaili, Badriyah 2025. A multi-parameter and barrier-based approach to GIS modernization planning in Kuwait's yransmission network. Presented at: 2025 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia), Bangkok, Thailand, 26-29 November 2025. 2025 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia). IEEE, pp. 201-205. 10.1109/gtdasia60461.2025.11313276

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Abstract

This study introduces a Multi-Parameter Indicator (MPI) model to evaluate GIS substation modernization priorities in Kuwait, combining quantitative infrastructure metrics with qualitative institutional constraints. The MPI assesses five key parameters: age, voltage level, configuration complexity, redundancy, and operational role, while a complementary barrier typology captures procurement, regulatory, and workforce-related challenges. This integrated approach enables classification of substations into four strategic clusters based on both technical urgency and implementation feasibility. Findings show that high MPI scores frequently coincide with elevated institutional barriers, complicating upgrade sequencing. The study proposes a phased roadmap through 2032, targeting substations with high technical risk and low institutional resistance in the early phases, while aligning longer-term interventions with policy reform and capacity development. The results suggest that age-based prioritization alone is insufficient for effective modernization planning in contexts characterized by regulatory fragmentation and limited in-country technical capacity. The proposed dual-factor prioritization framework supports adaptive infrastructure planning, enabling risk-informed resource allocation under operational and institutional constraints. Generalizable to Gulf/MENA systems and aligned with Kuwait's Vision 2035 goals for digitalization and emissions reduction.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Type:	Publication
Status:	Published
Schools:	Schools > Engineering
Publisher:	IEEE
ISBN:	979-8-3315-1882-0
Last Modified:	06 Jan 2026 16:30
URI:	https://orca.cardiff.ac.uk/id/eprint/183618

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