Conference proceeding
Symbolic Analysis and Simulation for Power System Dynamic Performance Assessment
2006 IEEE PES Power Systems Conference and Exposition, pp 374-374
29 Oct 2006
Abstract
This panel contribution presents an integrated approach that combines symbolic and numeric computations to investigate dynamic analysis and simulation issues in power systems. Power system studies including load flow and local bifurcation analysis, require the numerical solution of non-linear equations using the Newton-Raphson-Seydel technique. This algorithm requires the computation of higher order Jacobian matrices, preferably in symbolic form. Symbolic programming procedures are implemented in the MATLAB-MAPLE environment. These include construction of the classical network model in symbolic form, symbolic computation of the Jacobian and 2nd order derivatives and conversion of symbolic equations into C source code that then is compiled as a MEX function callable from MATLAB. A software package, the voltage stability toolbox, has been designed to integrate symbolic and numeric computation with a graphical menu-driven interface based on MATLAB and its extended symbolic toolbox. This contribution demonstrates how this combined symbolic/numeric analysis and simulation tool can be used for dynamic system analysis and simulation including bifurcation studies and non-linear observability assessment. The integrated approach has been tested for various AC power systems including the IEEE 118-bus test systems as well as for AC/DC shipboard power system models
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Details
- Title
- Symbolic Analysis and Simulation for Power System Dynamic Performance Assessment
- Creators
- S Ayasun - Drexel UniversityC Dafis - Drexel UniversityC.O Nwankpa - Drexel UniversityH Kwatny - Drexel UniversityIEEE
- Publication Details
- 2006 IEEE PES Power Systems Conference and Exposition, pp 374-374
- Conference
- 2006 IEEE PES Power Systems Conference and Exposition
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000247029800069
- Other Identifier
- 991019168506304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Energy & Fuels
- Engineering, Electrical & Electronic