Page 90 - Mathematical Models and Algorithms for Power System Optimization

80 Chapter 3

(5) The resulting GMS optimization decision depends on the intersection of the objective
function and the fuzzy membership function of constraints, which can be solved by the
dynamic programming method.
(6) The unit maintenance period and duration given by the study case show that the
optimization model can effectively guarantee the maximum possible capacity margin.
Therefore, this study has provided power grid dispatchers with a GMS tool of easy operation,
fast calculation, and reasonable results.