LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Accurate power‐flow initialization of double‐cage induction motors using unified Newton‐Raphson method

Photo by mbrunacr from unsplash

Summary An initialization of power system dynamic simulation using conventional power-flow model is not suitable for induction motor load due to unavoidable mismatch between prespecified reactive powers from power-flow calculation… Click to show full abstract

Summary An initialization of power system dynamic simulation using conventional power-flow model is not suitable for induction motor load due to unavoidable mismatch between prespecified reactive powers from power-flow calculation and the ones actually required by motor dynamic model. To eliminate the undesired mismatch, this paper presents a unified method for simultaneously solving power-network and motor variables in single frame of reference using Newton-Raphson algorithm for getting a good rate of convergence. An advanced inverse-Γ model of double-cage induction motors is newly developed to perform the initialization with minimum extra power-flow variables. An ability of the unified Newton-Raphson algorithm is demonstrated using IEEE-300bus and 118bus systems with large numbers of groups of induction motors. The studied results show that the unified algorithm yields a correct steady-state initialization without presence of reactive-power mismatch and also retains a good quadratic convergence characteristic.

Keywords: power flow; power; initialization; induction; newton raphson

Journal Title: International Transactions on Electrical Energy Systems
Year Published: 2017

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.