Energy Saving of Elevator Group under Up-Peak Flow Based on Geese-PSO

Abstract

Vertical elevators are commonly used in high-rise buildings. Elevator Group Control System(EGCS) is designed to dispatch elevator cars to meet the needs of customer's call in different floor. The optimization of EGCS is aiming at improving its transport capacity and service quality, which is a typical combinational optimization. Particle Swarm Optimization(PSO) is good at solving combinational optimization, but it is also easy to fall into local solutions. In this paper, according to the flight characteristics of geese group, we propose an improved PSO algorithm named Geese-PSO. By using a novel coding method, we can offer a natural way to meet our requirement. Finally in order to realize energy-saving of elevator group optimization, we derive the energy-saving function and time cost function, build the elevator group control model and give the optimization scheme. Simulation results demonstrate the effectiveness of the approach.