Research on Packet Control Strategy of Constant-Frequency Air-Conditioning Demand Response Based on Improved Particle Swarm Optimization Algorithm

To better utilize air-conditioning load in terms of demand side response potential and improve precision speed, a control strategy traditional temperature-control air conditioning, determining frequency as the research object, conditioning determined with theory model Monte Carlo method, were used to construct power aggregation model. This was combined user feedback study thermal comfort lateral resource determine systems. Based on state-queuing model, an grouping using improved particle swarm optimization algorithm is proposed which can accurately following reference load.