Optimal allocation of power quality monitors based on an improved adaptive genetic algorithm

To solve power quality problems caused by voltage sag, an improved adaptive genetic algorithm is presented for the optimal allocation of power quality monitors. The basic idea of the algorithm is that the entire system can be observed when voltage sag occurs on the buses and a long the lines, and thus, the minimum placement number of monitors is ensured. The fitness func tion of the genetic algorithm is adopted to evaluate individuals that randomly generate the placement number and the locations of monitors. The unobserved individuals are changed by applying the improved adaptive crossover operator and the mutation operator. The optimal solution is extracted from multiple eligible solutions by evaluating redundancy. The feasibility of the algorithm is verified on the IEEE30 bus system.