This day and age, a vast and array of equipments are electricity consuming devices, from our means of transport,  pumps  that  enable water  supply,  cellular communication  devices  to lighting  for  our  homes.  Therefore,  we  require  reliable  and  efficient  power  supply  at reasonable cost. Generation is to be done while ensuring that production of energy is at its lowest cost in order to reliably serve consumers. In addition to ensuring reduced costs for both consumers and producers, power system operators are also responsible for ensuring that power supply match load demand and for keeping the system under safe operational limits, such as, ensuring that no single fault may cause the power system to fail. Hence security constrained Economic dispatch (SCED) problem is of prime relevance.

SCED is an optimization process that takes account of these factors such as, the varying load demands,  the  varying  cost  of  different  types  of  generation  units,  and  the  unexpected conditions of the transmission network that affect which generation units can be used to serve load reliability.  These factors  are bared in mind while selecting the  generation units to dispatch in order to deliver a reliable supply of the electrical power at the lowest cost possible under given conditions.

SCED problem has been successfully performed with conventional methods such as linear programming [LP] & Quadratic programming, intelligent search methods such as particle swarm  optimization  and  genetic  algorithm.  In  this  project,  the  improved  out-of-kilter algorithm has been realized to solve the SCED problem.

The realized  IOKA algorithm has been implemented on the IEEE 30-bus network. The optimal real power output for a system total load demand of 283.4MW was found to be; Total Generation = 293.04 MW. The generation for each of the six generation units; PG1=178.347

MW, PG2=49.01 MW, PG5=20.09 MW, PG8=21.99 MW, PG11=11.84 MW and PG13=10.92

MW. The obtained real power losses; 9.64 MW and the total optimal generation cost obtained as 802.34 $/hr. The IOKA algorithm was able to achieve similar results in cost as those obtained from LP = 802.4 $/hr and OKA = 802.51 $/hr. The cost of SCED and classical ED was also compared for various load demands; SCED had higher costs of generation which was more pronounced in higher load demands.