Transformer Optimization and Capacity Planning of Electrical Infrastructure at Takoradi Technical University

Abstract

The growing need for stable delivery of electrical energy in academic institutions requires innovative solutions for optimal utilization of these assets, especially in a resource constrained environment. This research aims to identify the problem of operational inefficiencies in the electrical distribution network of Takoradi Technical University (TTU) by proposing a parallel transformer optimization framework. Using a tri-phasic methodology, which includes bibliometric analysis, empirical field monitoring, and stochastic load forecasting, the research evaluates the transition from the independent operation of a 315 kVA and a 500 kVA unit to a synchronized parallel configuration. Technical evaluation results show that although there is a nameplate mismatch, the circulating currents are safe with 20.0 A. Implementation results prove a 30% load equity improvement with 8% technical losses reduction and 1.20% of voltage regulation. The economic analysis brings a quick payback of 1.48 years. Furthermore, the framework incorporates uncertainty quantification for load growth and sensitivity analysis for impedance-based load sharing to ensure system resilience. This study provides a scalable blueprint for institutions in developing economies to achieve energy security and operational reliability through cost-effective asset optimization. This research is responsible for offering a scaling approach for institutions with limited access to financial resources to implement an efficient use of existing assets while delaying costly capital growth.