基于改进量子遗传算法的输电网规划方法

Transmission Network Expansion Planning Based on Improved Quantum Genetic Algorithm

量子遗传算法是基于量子计算原理的概率优化方法,改进了动态调整量子旋转门策略,并结合量子交叉和量子变异操作,使算法具有更快的收敛速度和全局寻优能力。输电网规划是复杂的大规模非线性组合优化问题,提出了一种基于改进量子遗传算法的输电网规划模型。算例表明,该方法能够快速有效地获得全局经济最优的输电网规划方案。

Quantum genetic algorithm is the method of probabilistic optimization based on the principles of quantum compution. In this paper, A dynamic adjustment of the quantum rotation gate is improved, and quantum crossover and quantum mutation is combined, which makes it has a faster convergence speed and global optimization ability. Transmission network planning is a complex large-scale nonlinear optimization problem, a transmission network plannning based on improved quantum genetic algorithm is proposed. The example shows that the method is fast and effective access to the global economic optimal transmission network planning.