DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility

Understand

Deep Neural Networks (DNNs) approaches for the Optimal Power Flow (OPF) problem received considerable attention recently.

• A key challenge of these approaches lies in ensuring the feasibility of the predicted solutions to physical system constraints.
• Due to the inherent approximation errors, the solutions predicted by DNNs may violate the operating constraints, e.g., the transmission line capacities, limiting their applicability in practice.
• To address this challenge, we develop DeepOPF+ as a DNN approach based on the so-called "preventive" framework.