DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow
DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow
We develop <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DeepOPF</monospace> as a Deep Neural Network (DNN) approach for solving security-constrained direct current optimal power flow (SC-DCOPF) problems, which are critical for reliable and cost-effective power system operation. <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DeepOPF</monospace> is inspired by the observation that solving SC-DCOPF problems for a given power network is …