Security Constrained Optimal Power Flow and Nodal Price Calculation in MATLAB
As part of ensuring electrical power system reliability, regulatory authorities require that the electrical system meet defined system performance requirements under various contingency conditions. N-1-1 contingency conditions permit the system operator to perform system adjustments following an N-1 contingency, in order to secure the system prior to a subsequent N-1 contingency.
This webinar demonstrates how Optimization Toolbox and Parallel Computing Toolbox can be used for performing automated N-1-1 contingency analysis, security constrained optimal power flow, and calculation of nodal prices. The workflow will be demonstrated through application of DC power flow on an example system containing 3000+ buses, 7000+ transmission lines, 500+ generators, and over one million combinations of N-1-1 contingency conditions.
It will then be demonstrated how a Simultaneous Feasibility Test (SFT) with a given Financial Transmission Right (FTR) proration strategy may be implemented within the constrained optimization framework.
About the presenter:
Graham Dudgeon: Graham is the energy production industry marketing manager at MathWorks. Graham received an M.Eng. (Distinction) in avionics and a Ph.D. in multivariable control from the University of Glasgow, U.K., in 1993 and 1997 respectively.
Recorded: 16 Jul 2012
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