Air-Conditioning Energy-Saving Control Strategy at Subway Station Based on MAS Evolutionary Algorithm

Energy-saving research in rail transport air-conditioning system has an important position, because air conditioning system of subway station is a multi-input and multiple-output, strong coupling, nonlinear, complex control object of uncertain time-delay, with significant characteristics of distributed systems, it´s hard for conventional controller to achieve the desired control effect. This paper presents an evolutionary algorithm of Multi - Agent System (MAS) coordination mechanism to form intelligent control strategy in environmental control system. Through evolutionary algorithm to obtain non-inferior set of parameters and system simulation, the results show that the robustness of the system is strong, enabling flexible adjustment rail traffic control system and the air conditioning energy efficient control, minimizing rail transportation energy consumption of air conditioning systems.