2020/04/27 by Franz-Erich Wolter, Wolter, Franz-Erich, Benjamin Berger +3
Computer Science · Engineering · Mathematics · #Algorithm #Computation #Computer science #Differential (mechanical device) #FOS: Electrical engineering #FOS: Mathematics #Flow (mathematics) #Geometry #Mathematics #Numerical methods for differential equations #Optimization and Control (math.OC) #Physics #Power System Optimization and Stability #Real-time simulation and control systems #Systems and Control (eess.SY) #Thermodynamics #cs.SY #eess.SY #electronic engineering #information engineering #math.OC
paper · pdf · doi:10.48550/arxiv.2005.05038
10 pages, 7 figures. arXiv admin note: substantial text overlap with arXiv:1903.11131
arxiv created 2020/04/27 · openalex publication_date 2020/04/27 · arxiv updated 2020/05/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper aims to systematically and comprehensively initiate a foundation for using concepts from computational differential geometry as instruments for power flow computing and research. At this point we focus our discussion on the static case, with power flow equations given by quadratic functions defined on voltage space with values in power space; both spaces have real Euclidean coordinates. The central issue is a differential geometric analysis of the power flow solution space boundary (SSB, also in a simplifying way, called saddle node bifurcation set, SNB) both in voltage and in power space. We present different methods for computing tangent vectors, tangent planes and normals of the SSB and the normals' derivatives. Using the latter we compute normal and principal curvatures. All this is needed for tracing the orthogonal projection of points on curves in voltage or power space onto the SSB on points closest to the given points on the curve, thus obtaining estimates for their distance to the SSB. As another example how these concepts can be useful, we present a new high precision continuation method for power flow solutions close to and on the SSB called local inversion of the power flow map from voltage to power space, assuming the dimension of power flow's Jacobean zero space, called KERNEL, is one. For inversion, we present two different geometry-based splitting techniques with one of them using the aforementioned orthogonal tracing method.