关键词: 电动汽车, 有序充电, 改进鲸鱼算法（IWOA）, 非线性惯性权重, 教学策略（TLS）

Abstract:

In order to solve the impact of disordered charging of large-scale electric vehicles on the power grid stability, two ordered charging mathematical model with minimum gird load peak-valley difference and minimum user charging expenses is established. The Whale Optimization Algorithm（WOA） has been improved for efficient and fast solution, two nonlinear inertia weights are incorporated into the algorithm to improve both the local and the global search ability, and a Teaching-Learning Strategy（TLS） is proposed to improve the position quality of individual whales. And the diversity of the population is improved by means of variation in TLS, which can effectively prevent the premature stagnation of iteration. The variation disturbance is used to improve the population diversity and prevent the premature stagnation of iteration. IWOA, WOA and Particle Swarm Optimization algorithm（PSO） are used to solve the benchmark functions and the ordered charging optimization problems of electric vehicles respectively. Finally, the comparison of those algorithms verifies the efficiency and practicability of IWOA.

Key words: electric vehicle, ordered charging, Improved Whale Optimization Algorithm（IWOA）, nonlinear inertia weight, Teaching-Learning Strategy（TLS）