Customer-centered control system for intelligent and green building with heuristic optimization

Abstract

The big challenge of the control system for the intelligent and green building is to maintain the maximum customer comfort with minimum energy consumption. In the paper, a customer-centered multi-agent control system is proposed to meet the challenge. Four different kinds of agents are described, which are switch agent, central coordinator-agent, local controller-agents and load agent. Particle swarm optimization (PSO) is utilized to optimize the overall system and to enhance the intelligence of the system. The preferences of customers are included in the control system design. Customers are offered the flexibility to define control parameters through a graphical user interface (GUI) according to their own preferences.