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For the modeling, design and planning of future energy transmission networks,it is vital for stakeholders to access faithful and useful power flow data,while provably maintaining the privacy of business confidentiality of serviceproviders. This critical challenge has recently been somewhat addressed in [1].This paper significantly extends this existing work. First, we reduce thepotential leakage information by proposing a fundamentally differentpost-processing method, using public information of grid losses rather thanpower dispatch, which achieve a higher level of privacy protection. Second, weprotect more sensitive parameters, i.e., branch shunt susceptance in additionto series impedance (complete pi-model). This protects power flow data for thetransmission high-voltage networks, using differentially privatetransformations that maintain the optimal power flow consistent with, andfaithful to, expected model behaviour. Third, we tested our approach at alarger scale than previous work, using the PGLib-OPF test cases [10]. Thisresulted in the successful obfuscation of up to a 4700-bus system, which can besuccessfully solved with faithfulness of parameters and good utility to dataanalysts. Our approach addresses a more feasible and realistic scenario, andprovides higher than state-of-the-art privacy guarantees, while maintainingsolvability, fidelity and feasibility of the system.

Realistic Differentially-Private Transmission Power Flow Data Release