Application of quantum-inspired evolutionary algorithm in transmission network expansion planning

Abstract

Quantum-inspired evolutionary algorithm is a kind of evolutionary computation algorithm in the form of quantum chromosome and is based on the concept of quantum computation. The best individual of current ones is used for the next search, and the whole interference crossover operation is used to avoid pre-maturity, so it possesses rapid convergence and good global search ability. Transmission network expansion planning is a complicated, nonlinear, large-scale combinatorial optimization problem. Here, a model of power system transmission expansion planning based on quantum-inspired evolutionary algorithm (QEA) is presented. In this model the parameters in the algorithm are optimized and a more suitable fetch of rotation angle of quantum rotation gate to the research subject is put forward. The results of calculation examples show that the presented model is reliable and effective and its calculation accuracy and speed can be further improved by adding special operator.