Amplified and quantum based brain storm optimization algorithms for real power loss reduction

In this work Amplified Brain Storm Optimization (ABS) algorithm and Quantum based (QBS) Algorithm is used for solving optimal reactive power problem. the projected amplified storm optimization Hamiltonian cycle has been applied to improve search abilities also avoid of trap in local solution. A node arbitrarily chosen from graph as preliminary point form a cycle. At generation t t+1, L<sub>t</sub> L<sub>t</sub><sub>+1</sub> are length correspondingly. QBS state an idea illustrated by wave function alternative position modernized only algorithm. Monte Carlo simulation method<em> </em>is used, measure each the<em> </em>quantum traditional one. Proposed tested standard IEEE 57 bus test system results show algorithms reduced real loss effectively.