Evaluation And Application Of Peak Load Regulation Capacity Of Air Conditioning Load Participating System

Due to the non-storage of electricity,the instantaneous balance must be ensured between the generated power and the load in the power system,otherwise it will have a great impact on the frequency and voltage of the grid.Therefore,ensuring the power balance of the grid has become an important content of power system regulation.At present,there are two ways to solve the contradiction between supply and demand in power systems.One is to start from the source side and increase the reserve capacity of the system.The traditional methods of peak regulation include thermal power unit peak regulation,pumped storage peak regulation,gas turbine peak regulation,and battery peak regulation.With the development of technology,the number of new energy power stations such as photovoltaics and wind power is also gradually increasing;the other is to start from the load side,study load optimization peak shaving strategies,and vigorously develop demand response and control technologies for load resources.There are a large number of loads with energy storage characteristics in the power system.Changing parameters within a short period of time will not have much impact on the power consumption experience,the most typical of which is the air conditioning load.The increase of air-conditioning load makes the ratio of trough load and peak load of the power grid increase year by year,and the duration of peak load is short.In order to maintain the power balance of the peak load,the system's reserve capacity has to be increased,resulting in a waste of system resources.The air-conditioning load has the characteristics of high proportion,strong controllability,fast response speed,on-site balance,and strong correlation with peak load.Therefore,it is of great significance to study air-conditioning load participation in power system peak regulation.Analyze the characteristics of air-conditioning load,and establish a first-order model of a single air-conditioner according to the law of conservation of energy.The Latin super-elevation method is used to establish the air-conditioning load aggregation model.The Latin super-elevation method improves the sampling strategy compared to the Monte Carlo method.Get higher sampling accuracy with smaller sampling scale.After the aggregation model is established,the controllable capacity of the air-conditioning load is evaluated,and the expressions between the controllable capacity and the control temperature and outdoor temperature are obtained.The actual parameters of the power grid are substituted into the air-conditioning load aggregation model for simulation calculation.From the simulation calculation results,it can be concluded that the aggregated power of the air-conditioning load rises with the rise of outdoor temperature.Based on this,the controllable capacity is further obtained,and error analysis is performed.In order to fully mobilize the enthusiasm of air-conditioning users to participate in the system's peak shaving,the non-linear pricing theory was used to optimize the ladder compensation price.Based on the establishment of a compensation pricing model,the optimal decision-making target is set with the goal of minimizing the compensation expenditure of the power supply company and the maximum user income.Considering constraints such as user participation,profitability of the power company,and positive interruption,the dual-objective problem is transformed into a single problem.The objective problem is solved,and the optimal compensation price and outage range are obtained through a nonlinear constraint optimization algorithm.The logical architecture of the intelligent and orderly power management system based on flexible control includes a data layer,an application layer,and a presentation layer.The physical architecture uses a three-layer architecture,including a device layer,a field control layer,and a network layer.The air-conditioning load of the building is divided into three categories:central air-conditioning,multi-connected air-conditioning and decentralized air-conditioning.Finally,the actual grid data in Zhiyuan District is taken as an example to analyze the effect of air conditioning users' participation in system peak regulation,and the effectiveness of the model and algorithm proposed in this paper is verified.