This paper presents a proposed technique for security constrained optimal dispatch (SCOD)
problem under normal and emergency conditions. In this technique a modified version of the
genetic algorithm (GA) is used. The SCOD problem is formulated using non-linear unit cost
functions and solved by the proposed technique. The results obtained using this technique are
compared with those obtained using a conventional linear programming technique and with those
obtained using fuzzy modeling technique.
The comparison studies are performed considering the changes in system constraints as:
membership models in fimy technique and chromosomes in GA technique. Numerical studies of
fuzzy modeling are based on the fuzzy linear programming (FLP) technique with fuzzy constraints
of different shapes for their membership functions. Simulation results show that the proposed GA‌based technique for SCOD is more accurate and efficient, especially with increasing the system
size.