Ice Storage Air Conditioning Considering The New Energy Consumption Of Distribution Network Multi-Objective Optimization Strategy

In recent years,with the continuous development of China’s society and economy,the country’s electricity demand has shown a trend of continuous growth,and the relationship between power supply and demand is relatively tight.On the one hand,with the increasing diversification and scale of power system users and the development of intelligent equipment,the proportion of flexible load with good interactive adjustment potential has steadily increased;on the other hand,with the continuous maturity of demand response technology,The more flexible loads are involved in gridassisted services such as renewable energy fluctuations and grid peak regulation.Among many flexible loads,the central air conditioning load has been an important research object in the field of response regulation due to its high power and good response potential.This paper focuses on the related technologies of the central airconditioning load group participating in the demand response,and formulates the central air-conditioning cluster response optimization control strategy,including the central air-conditioning load modeling and optimization control strategy formulation.The main work of this paper is as follows:(1)This paper studies the mechanism modeling method of ice storage type central air conditioning.Its power consumption characteristics and scheduling potential are analyzed.The working principle of ice storage air conditioner and the key factors affecting its operation are expounded.The various operation modes and control strategies of ice storage air conditioning are compared and analyzed.The scheduling potential of ice storage air conditioning is quantitatively calculated.(2)Combining the characteristics of the demand side flexible load and the development needs of the new energy power system.A LA system architecture considering new energy access is designed.The control architecture,regulation mode and operation mechanism of LA are studied.Among them,LA is a virtual power generation and demand side response platform system in a wide-area scope.It can adopt a centralized distributed architecture to aggregate the demand side flexible load,and manage the flexible power consumption of the flexible load equipment by signing a contract with the user for “managed” management.To achieve reliable response and auxiliary services for grid dispatching requirements;(3)Based on the operating mode of ice storage air conditioner under different load conditions,a multi-load state control mode(MLS)suitable for multiple load states is proposed.Firstly,the load operation state of the ice storage air conditioner is divided into two types: high load operation and low load operation.Secondly,according to the predicted value of the cold load of the air conditioner user,the real-time power and the ice melting rate of the air conditioning system are calculated,and the next moment is determined.Whether the air conditioning system can regulate demand response;(4)A multi-objective optimization strategy for ice storage air conditioning based on wind power consumption is proposed.Considering the economic benefits of grid companies,load aggregators and air conditioner users,the cold balance constraint,chiller power constraints and nodes are established.Constraints such as voltage constraints,and then based on the multi-objective genetic algorithm NSGA-II,the economic benefits of different stakeholders were verified to verify the economics and feasibility of the strategy.