Multi-Agent Consensus Control of Distributed Inverter Air Conditioning Load Based on the Demand Response

Abstract

In order to realize large-scale distributed inverter air conditioning load participating in demand response, this paper proposes the multi-agent consensus control algorithm to meet the requirements of accurate load control of residential air conditioning resources. Based on the concept of human body comfort index in meteorology, this paper takes comfort index ratio as a consensus variable to reduce the load of inverter air conditioning group by changing the set temperature of air conditioner. The algorithm can reduce the data traffic through the information interaction between adjacent agents, so it can successfully complete the load reduction instructions issued by the scheduling center. Case simulation and analysis show the effectiveness of the proposed strategy.