H
Hermann W. Dommel
Researcher at University of British Columbia
Publications - 81
Citations - 6324
Hermann W. Dommel is an academic researcher from University of British Columbia. The author has contributed to research in topics: Emtp & Electric power system. The author has an hindex of 32, co-authored 81 publications receiving 5884 citations. Previous affiliations of Hermann W. Dommel include Bonneville Power Administration.
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Digital Computer Solution of Electromagnetic Transients in Single-and Multiphase Networks
TL;DR: Electromagnetic transients in arbitrary single- or multiphase networks are solved by a nodal admittance matrix method based on the method of characteristics for distributed parameters and the trapezoidal rule of integration for lumped parameters.
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Optimal Power Flow Solutions
TL;DR: A practical method is given for solving the power flow problem with control variables such as real and reactive power and transformer ratios automatically adjusted to minimize instantaneous costs or losses by Newton's method, a gradient adjustment algorithm for obtaining the minimum and penalty functions to account for dependent constraints.
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Fast Transient Stability Soultions
Hermann W. Dommel,N. Sato +1 more
TL;DR: A new technique for solving the differential equations with the implicit trapezoidal rule of integration can be combined into one simultaneous solution, thereby eliminating the problem of interface error between the differential and algebraic equation solutions of the traditional approach.
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A multiphase harmonic load flow solution technique
TL;DR: In this paper, a computer-based multiphase harmonic load flow solution technique for analyzing unbalanced load conditions in power systems is described. Butts et al. used static VAr compensators with thyristor-controlled reactors under unbalanced loads to illustrate the method.
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A Framework for Volt-VAR Optimization in Distribution Systems
TL;DR: The possibility of leveraging the data provided by smart meters to understand the load characteristics is studied and a deterministic framework is proposed that formulates the VVO problem as a mixed-integer quadratically constrained programming problem, which is solved efficiently using advanced branch-and-cut techniques.