The algorithm is based on the nonlinear optimization technique that is coupled with the entire set of system control variables, including generator power dispatch scheduling, transformer taps and phase shifter settings. System equipment constraints are observed, bus voltages and line flows in particular .
The “best possible” values for “higher level set points” are calculated while considering a set of user-specified objective functions and a number of constraints. In this way, it adds intelligence and, consequently, significantly improves the efficiency of power system studies.
The algorithm also includes infeasibility handling through automatic relaxation of immediate binding constraints and comprehensive constraint ranking severity indicators for cases that exhibit convergence difficulty.
The module can assist the planning engineer to solve many of the problems typically found in power systems, including: