Blockchain-Enabled Loss-Aware Optimization For Peer-to-Peer Energy Trading in Smart Grid-Integrated PV Systems


Creative Commons License

Baran E.

in: 3. International Cyprus Scientific Research And Innovation Congress Book, Canan Demir, Editor, Bilsel Publishing, Girne, pp.320-330, 2026

  • Publication Type: Book Chapter / Chapter Research Book
  • Publication Date: 2026
  • Publisher: Bilsel Publishing
  • City: Girne
  • Page Numbers: pp.320-330
  • Editors: Canan Demir, Editor
  • Open Archive Collection: AVESIS Open Access Collection
  • Gazi University Affiliated: Yes

Abstract

The increasing penetration of distributed photovoltaic (PV) systems has introduced new challenges in energy management, particularly regarding power losses, grid stability, and transparent energy transactions. This study proposes a novel blockchain-enabled peer-to-peer (P2P) energy trading framework that integrates loss-aware optimization within smart grid environments. Unlike conventional approaches that primarily focus on economic benefits, the proposed model explicitly incorporates network power losses into the trading and scheduling process. A decentralized architecture is designed using blockchain technology to ensure secure, transparent, and tamper-proof energy transactions among prosumers. Smart contracts are employed to automate trading decisions based on real-time generation, demand, and network conditions. In addition, an optimization layer is developed to minimize system losses while maintaining fairness and efficiency in energy distribution. The performance of the proposed framework is evaluated through simulation scenarios involving multiple prosumers with distributed PV generation. Results demonstrate that the integration of loss-aware optimization with blockchain significantly improves energy efficiency, reduces transmission losses, and enhances the reliability of P2P trading mechanisms. The proposed approach offers a scalable and secure solution for next-generation smart grids with high renewable energy penetration.