Genetic Algorithm approach for Optimal Power Flow with FACTS devices

Improving Power System Static Security Margins by Means of a Real Coded Genetic Algorithm

“…A similar application is presented in [13], solving the OPF by means of the generalized Benders decomposition (GBD) and testing the model's performance on the IEEE 118-bus. In reference [14] an evolutionary algorithm is used to solve an SCOPF problem, and its performance is assessed on the IEEE 30-bus.…”

“…The results obtained with ECPA are compared with those from references [12], [14] and [28] for the IEEE 30-bus test system. A sensitivity analysis is performed with the IEEE 118-bus test system to assess the impact of ECPA's upper limits (maximum number of active power changes and controllable voltages) on the final solution of corrective control actions.…”

“…The ECPA's results for the IEEE 30-bus test system are compared with the results from references [12], [14] and [28]. Additionally, the results of ECPA for the IEEE 118-bus test system are compared with those from reference [21].…”

“…The ECPA's computational burden for the IEEE 30-bus system is compared with that from references [14] and [28]. The computational burden for the IEEE 118-bus is also analyzed.…”

“…The computational burden for the IEEE 118-bus is also analyzed. More specifically, the convergence of the fitness function is compared with that of references [14] and [21]. Table III depicts the parameters of the evolutionary algorithm, including a short description in the first column, the symbol in the second column and, finally, the type of data in the third column.…”