Optimal Power Flow Analysis by Considering System Stability Using the Flower Pollination Algorithm

Abstract

Optimal power flow [OPF] is one of the problems in operating an electrical power system. Optimal power flow aims to meet the demand for electricity with minimal costs. Electric power system operations are not only required to provide minimal generation costs, but also the quality of electric power also needs to be considered. Optimized operation of the electric power system needs to be maintained in stability, so that if there is a sudden and significant power change, system can still maintain its stability. In this research, the system stability analysis was carried out using the radial equivalent independent [REI] approach. The REI concept is used to determine the steady state system stability limits, then the system stability limit is used as a constraint in OPF calculations. OPF analysis is carried out using the flower pollination algorithm [FPA] method. System stability parameters are added as a limitation on OPF analysis, the operation of electric power can be optimized and still within safe limits. In this case the method was tested on the IEEE 30 bus test system consisting of 24 load buses and 6 bus generators. The proposed method can find out its effectiveness by comparing optimal power flow standards with FPA, PVS, PSO, and CSA.