Application of quantum-inspired evolutionary algorithm in reactive power optimization

Quantum-inspired evolutionary algorithm(QEA) is a kind of evolutionary strategy algorithms inspired by quantum computing.It uses quantum bit as the smallest unit of information-chromosome and quantum-gate as a primary variation operator to drive the individuals toward the better.QEA makes full use of superposition of states and whole interference to avoid pre-maturity,so it has rapid convergence and global search capacity.This paper presents a model of reactive power optimization based on QEA and studies its parameters.To demonstrate its effectiveness and applicability,the simulations are carried out on IEEE6 and IEEE30 bus system.The results show the validity of the proposed model and algorithm.