Zimmerman, Ray

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Description:

This project is developing modeling and simulation tools that take into account uncertainty in the context of multi-period scheduling and pricing for wholesale centralized electricity markets—such as those operated by ISO/RTOs. The current focus is on demonstrating the value of the SuperOPF approach using two-stage and receding-horizon market structures and integrating the generalized optimal power scheduling framework into MATPOWER.

To view the MATLAB Power System Simulation Package, click here.