Research On Decentralized Coordinated Scheduling Strategy Of Air Conditioning Load Based On Multi-Agent System

With the continuous construction and development of the power system,the power energy is in a state of abundance in most of the time.At the same time,the electricity consumption of the residents is rising and the power time is concentrated with the popularity of smart home.In particular,the air conditioning equipment will cause a great load peak in bad weather and affect the safe operation of the power system.In order to solve the problem of the power consumption of the air conditioning equipment on the user side,the function of the demand side should be fully played while increasing the installed capacity on the supply side.Therefore,the following work is done in this paper,which is based on the distribution characteristics,running characteristics and the lack of current research on the air conditioning equipment on the user side.(1)Based on the classification of air conditioners on the user side,the operation principle of split type inverter air conditioners with the largest sales ratio is analyzed and introduced.The mathematical model is established on the basis of the operating characteristics of the inverter air conditioning equipment,and the control effects of the two control strategies are verified.(2)Aiming at the large number and wide distribution characteristics of inverter air conditioners,the architecture of the air conditioning load control system described by the characteristics and organizational structure of multi-agent systems was established.On the basis of graph theory and consensus algorithm of multi-agent system,three layers of structure are designed for air conditioning load regulation system architecture,including dispatching center,building/load aggregator agent,and inverter air conditioning agent.It effectively solves the problem of economy,reliability,and acquisition of target power completion for inverter air conditioning equipment in the distribution network participating in demand response.(3)The leader-follower consensus control strategy is established for inverter air conditioners.This strategy takes into account the user's comfort and ensures that the user's regulatory potential is developed to the same degree.In the example of this strategy,simulation analysis was performed on inverter air conditioners in single-building and multi-building.The example shows that the strategy can effectively adapt to the uncertainty of the inverter air conditioner and the uncertainty of the urban microclimate,and it can follow the continuous power signal effectively.(4)A fully distributed consensus control strategy for building/load aggregators is established.In this strategy,each building/load aggregator can obtain the global target power deviation and it realizes the economic dispatch of the inverter air conditioning resources in the building/load aggregator.In the case of the strategy,it is verified that the strategy can achieve economic dispatch on the basis of completing the power task of the dispatching center and adapt to the uncertainty of the building / load aggregator.In addition,the overall simulation of the decentralized coordinated scheduling strategy of large scale inverter air conditioners is carried out,and the effectiveness of the decentralized coordinated scheduling strategy of the air conditioning load is verified.