Optimal power flow for large-scale power system with shunt FACTS using efficient parallel GA

This paper presents an efficient parallel GA (EPGA) for the solution of large scale OPF. The decomposition procedure decomposes the original problem into several interacting sub problems that can be solved with smaller sub populations and coordinate the solution of these sub problems to achieve the solution of the whole problem, the length of the original chromosome is reduced successively based on the decomposition level and adapted with the topology of the new partition. Partial decomposed active power demand added as a new variable and searched within the active power generation variables of the new decomposed chromosome. The strategy of the OPF problem is decomposed in two sub-problems, the first sub-problem related to active power planning to minimize the fuel cost function, and the second sub-problem designed to make corrections to the voltage deviation and reactive power violation based in an efficient reactive power planning of multi static Var compensator (SVC). Numerical results on two test systems IEEE 30-bus and IEEE 118-bus are presented and compared with results of others competitive global approach. The results show that the approach proposed can converge to the optimum solution, and obtains the solution with high accuracy.