An Intelligent Power Utilization Strategy in Smart Building Based on AIWPSO

This paper presents a strategy for intelligent power utilization in smart building based on particle swarm optimization with adaptive chaotic inertia weights (AIWPSO) to minimize electric cost and maximize user's comfort. Suppose that photovoltaic (PV) generation, batteries, micro turbines, controllable loads and uncontrollable loads exist in smart building. The proposed AIWPSO algorithm used in solving the intelligent power utilization model can further improve the performance compared with PSO algorithm in terms of convergence speed and accuracy as well as the global searching ability because of the chaotic characteristics and adaptive nature provided by the success rate which can provide the state information of the swarm and help them adjust the inertia value for better position. The effectiveness of AIWPSO is evaluated and compared with the standard PSO, and the simulation results demonstrate the effectiveness of the proposed intelligent power utilization strategy, which can reduce electric cost and increase user's comfort through optimally operate power equipments and appliances according to self demand. (C) 2015 The Authors. Published by Elsevier Ltd.