Chance-Constrained OPF: A Distributed Method With Confidentiality Preservation

This paper focuses on the global chance-constrained optimal power flow problem of a multi-regional interconnected grid. In this global problem, however, multiple regional independent system operators (ISOs) participate in the decision-making process, raising the need for distributed but coordinated approaches. Most notably, due to the regulation and security concerns, regional ISOs may refuse to share confidential information with others, including generation cost, load data, system topologies, and line parameters. Accordingly, this paper proposes a distributed CC-OPF method with strict confidentiality preservation, which theoretically enables regional ISOs to determine the exact global optimal dispatchable generations within their regions without disclosing confidential data. The proposed method neither requires parameter tunings nor has convergence issues. Results from a number of test cases show that the proposed method has considerably high accuracy, regardless of the system size, load level, and amount of regions, thereby outperforming the state-of-the-art obfuscation approaches.