Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow. (arXiv:2003.07939v5 [eess.SY] UPDATED)

This paper introduces a framework to capture previously intractable
optimization constraints and transform them to a mixed-integer linear program,
through the use of neural networks. We encode the feasible space of
optimization problems characterized by both tractable and intractable
constraints, e.g. differential equations, to a neural network. Leveraging an
exact mixed-integer reformulation of neural networks, we solve mixed-integer
linear programs that accurately approximate solutions to the originally
intractable non-linear optimization problem. We apply our methods to the AC
optimal power …

arxiv encoding flow networks neural networks power security