A Comprehensive Privacy-Preserving Scheme for Power EMS Empowered by Edge Computing Based on Blockchain and Noise-Enhanced ECC

While offloading computational tasks from the expanding array of intelligent power terminals in cyber-physical power system to untrusted edge servers relieves the central infrastructure, it also introduces a critical privacy risk to energy management data across the upload, computation, and distribution stages. A comprehensive privacy-preserving scheme for edge-computing-empowered power energy management system (EMS) is proposed, integrating blockchain and noise-enhanced elliptic curve cryptography (ECC) to establish a dual guarantee of data security in transmission and computational trustworthiness in processing. First, a privacy-preserving architecture for edge-computing-empowered EMS is proposed to protect the security of EMS data from every stage. Next, a Gaussian-noise-enhanced ECC-based encryption scheme is designed to protect the confidentiality and integrity of data during transmission, while reducing bandwidth consumption and improving encryption efficiency. Furthermore, a blockchain-based data computation privacy-preserving scheme is developed, with the EMS computation encapsulated within smart contracts, thereby ensuring the immutability of the algorithm and the privacy of the results even with third-party ES involvement. Finally, deployment on Hyperledger Fabric and IEEE 39-bus simulations validated the proposed EMS privacy-preserving scheme’s feasibility and effectiveness.