基于混沌粒子群算法的电梯混合能源系统控制优化

摘要

The optimization of elevator hybrid energy control is to optimize the control of the energy transfer among different energy supply equipment, such as elevator,solar energy,batteries and super capacitors. Based on the elevator system characteristics and on the premise of meeting the energy needed by the elevator and minimum grid energy consumption,the optimization function for the elevator hybrid energy is established. In the non-continuous switch variables in the objective optimization function,such as 0-1,the hybrid energy management optimization process is of non-linear variable parameter optimization problem,it is difficult to use the or￣dinary analytical methods to calculate it. This paper proposes to use the chaos particle swarm algorithm as the intel igent solving strat￣egy. Through simulation of the elevator, the effectiveness of the model and algorithm is verified.%电梯混合能源控制优化是对电梯、太阳能、蓄电池、超级电容等设备间的能量交换进行控制优化。根据电梯系统的特点，在满足电梯所需能量的前提下，以电网所需的耗电量最小为优化指标，建立电梯的混合能源优化目标函数。其中目标优化函数中的变量如0－1等非连续的开关变量，其混合能源管理优化过程是非线性变参数优化问题，难以用普通的解析方法进行计算。采用混沌粒子群算法的智能求解策略，通过对某电梯的仿真，验证了模型和算法的有效性。