Solving corrective risk-based security-constrained optimal power flow with Lagrangian relaxation and Benders decomposition

By Qin Wang, James D. McCalley, T. Zheng, Eugene Litvinov. 2016

55 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/d78533b986535afd83baa43721d1362c9ca87991

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Teodor Gabriel Crainic
2. Michel Gendreau
3. Walter Rei
4. Ragheb Rahmaniani

Citations in the corpus

• The Benders decomposition algorithm: A literature review (2017, methodology): “Wang et al. (2016) applied a similar methodology to solve a corrective risk-based security-constrained optimal power flow problem.”