Optimal power flow incorporating wind energy and load reduction by BH algorithm and KOA algorithm

Optimal power flow (OPF) is a nonlinear, nonconvex and large-scale optimization problem and one of the most important optimization problems in power system operation and control. In smart grid the OPF objectives are modified to minimizing the total fuel cost and the greenhouse gases emissions. One way of achieving this objective is by the integration of significant amount renewable energy and the integration of load reduction as demand side management measure. In this paper, OPF will be modeled and solved for smart grid network assuming significant integration of wind energy to the network and the load reduction programs are active using Khums optimization algorithm (KOA) and black hole optimization algorithm (BH). The IEEE 30-Bus system is used to illustrate performance of the proposed algorithms and results are compared with those in literature.