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Economic Framework for Maximising Electricity Theft Recovery in Distribution Networks

Author

Listed:
  • Adebayo Adeyinka Victor

    (Electrical Department, University of Johannesburg, South Africa)

  • Pelumi Peter Aluko-Olokun

    (Department of Electrical and Electronics Engineering, Sheffield Hallam University, Sheffield, South Yorkshire, United Kingdom)

  • Ologunwa Oluyemi Philip

    (Dept. of Project Mgt. Technology Federal Uni. of Tech, Akure. Nigeria)

Abstract

Electricity theft, a type of non-technical loss (NTL), reduces utility revenues, distorts feeder loadings, and hampers investments in reliability and clean energy. This study presents an integrated economic framework to maximise recoverable value from theft within distribution networks. The framework combines mechanism design to align customer incentives through pricing, amnesty programmes, and credible penalties with a portfolio approach to detection and remediation strategies. These include advanced metering, feeder/DT balancing, analytics-driven audits, and standardised legal evidence packs, all within budget, legal, and equity constraints. It models recoveries as the discounted net present value of past back-billing and legitimate future consumption, guided by key utility KPIs such as recovered NPV per cost, relapse rates, and alarm accuracy. Implementation follows a three-phase plan: initial pilots, scaling and optimisation, and institutionalisation, supported by governance structures (RACI, due process, independent audits) and measurement & verification. Examples from India and Brazil demonstrate that integrating technology, legal processes, and social measures is vital for shifting incentives away from theft and towards compliance. Ultimately, this approach provides regulators with a justifiable method to reduce NTL while upholding affordability and public trust.

Suggested Citation

  • Adebayo Adeyinka Victor & Pelumi Peter Aluko-Olokun & Ologunwa Oluyemi Philip, 2025. "Economic Framework for Maximising Electricity Theft Recovery in Distribution Networks," International Journal of Latest Technology in Engineering, Management & Applied Science, RSIS International, vol. 14(11), pages 624-632, December.
  • Handle: RePEc:bjf:ijltem:v:14:y:2025:i:11:a:697
    DOI: 10.51583/IJLTEMAS.2025.1411000058
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