Machine Learning for AC Optimal Power Flow

Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints

Venkatesh, P., Gnanadass, R., and Padhy, N. P · 2003

Earlier work this paper cites.

Matpower: Steady-state operations, planning, and analysis tools for power systems research and education

Original

Zimmerman, R. D., Murillo-Sánchez, C. E., and Thomas, R. J · 2011

Earlier work this paper cites.

History of optimal power flow and formulations

Cain, M. B., O’neill, R. P., and Castillo, A · 2012

Earlier work this paper cites.

A primer on optimal power flow: Theory, formulation, and practical examples

Frank, S., Rebennack, S., et al · 2012

Earlier work this paper cites.

Machine learning for the new york city power grid

Rudin, C., Waltz, D., Anderson, R. N., Boulanger, A., Salleb-Aouissi, A., Chow, M., Dutta, H., Gross, P. N., Huang, B., Ierome, S., et al · 2012

Cited alongside, same era.

Strong np-hardness of ac power flows feasibility

Original

Bienstock, D. and Verma, A · 2015

Cited alongside, same era.

Network state-based algorithm selection for power flow management using machine learning

King, J. E., Jupe, S. C., and Taylor, P. C · 2015

Cited alongside, same era.

Supervised learning for optimal power flow as a real-time proxy

Original

Canyasse, R., Dalal, G., and Mannor, S · 2016

Cited alongside, same era.

Inverse optimal power flow: Assessing the vulnerability of power grid data

Donti, P. L., Azevedo, I. L., and Kolter, J. Z

Cited in the paper.

An introduction to optimal power flow: Theory, formulation, and examples

Frank, S. and Rebennack, S · 2016

Later among the works it cites.

Introducing machine learning for power system operation support

Original

Donnot, B., Guyon, I., Schoenauer, M., Panciatici, P., and Marot, A · 2017

Later among the works it cites.

Learning for constrained optimization: Identifying optimal active constraint sets

Original

Misra, S., Roald, L., and Ng, Y · 2018

Later among the works it cites.

Statistical learning for dc optimal power flow

Ng, Y., Misra, S., Roald, L. A., and Backhaus, S · 2018

Later among the works it cites.