Opposition based red wolf algorithm for solving optimal reactive power problem

<p>This paper presents an opposition based red wolf optimization (ORWO) algorithm for solving optimal reactive power problem. Each has a flag vector in the algorithm, and length is equivalent to whole sum of numbers which features dataset (WO). In this proposed been intermingled with opposition-based learning (OBL). By amalgamate procedure convergence speed will be increased. To discover improved candidate solution, concurrent consideration probable its corresponding opposite are estimated closer global optimum than arbitrary solution. Proposed tested standard IEEE 14-bus 300-bus test systems. The simulation results show that reduced real loss considerably.</p>