A trust region interior point algorithm for optimal power flow problems

By Wang Min, Shengsong Liu. 2005

48 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ccc69eec36a2b84346348e33037b80ec5422c46a

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. Steven H. Low
2. Jianhui Wang
3. Lingwen Gan
4. Na Li
5. Qiuwei Wu
6. Shaojun Huang
7. Haoran Zhao
8. Rabih A. Jabr

Citations in the corpus

• A Sufficient Condition on Convex Relaxation of AC Optimal Power Flow in Distribution Networks (2017, methodology): “A number of dedicated methods were developed to solve the AC OPF problems in the last two decades, such as the trust region interior point algorithm [4], [5], Lagrangian method [6], and primal-dual interior point method [7].”
• Optimal Power Flow Using an Extended Conic Quadratic Formulation (2008, methodology): “926439 primal-dual interior-point method [8]: 1) Mehrotra’s predictorcorrector technique [9]–[12], 2) Gondizio’s multiple-centrality corrections [13], [14], 3) trust region technique [15], and 4) optimal step length control [16], [17].”
• Exact Convex Relaxation of Optimal Power Flow in Radial Networks (2013, background): “Some of these algorithms, especially the Newton-Ralphson based ones, are quite successful empirically, but in general, these algorithms are not guaranteed to convergence, nor converge to (nearly) optimal solutions.”