Design Of Cascaded Permanent Magnet Reluctance Generator And Control System Of Cascaded Permanent Magnet Reluctance Generator

With the prospect of rapid social and economic development,energy consumption is also increasing day by day,resulting in the shortage of energy supply.And excessive energy consumption has brought environmental pollution problems,so energy conservation plays an important role in people’s life.In our daily life,the vast majority of energy consumption comes from building energy consumption,and the central air conditioning system is a large power consumer in modern buildings.In the initial design of central air conditioning system,the parameter maximum method is generally adopted,that is,it is designed according to the maximum load required by the building.However,in practice,the average load we need is far less than the design load,resulting in a great waste of energy.Therefore,how to improve the energy-saving effect of central air conditioning is of great significance to the energy conservation of the whole society.This paper studies the above problems,and the specific contents are as follows:First,Study how to save energy in air conditioning.As far as the cold source system is concerned,the energy-saving control principle in this paper is based on the automatic start-up and stop and frequency conversion control of energy consuming equipment can be realized according to the requirements of on-site environment.The air conditioning system is divided into three main parts:chilled water system,cooling water system and air system.This paper analyzes the energy-saving control principle of the three parts of equipment,establishes the central air-conditioning distributed control system based on DDC controller,and analyzes the system control points and system communication mode according to the control principle of air-conditioning equipment.Second,the optimization design of air conditioning energy-saving control system.In view of the shortcomings of the distributed control system with DDC controller as the core,the system is improved,and a point-to-point master-slave control system is proposed.Mainly optimize the system control architecture,improve the system operation efficiency,signal transmission and communication architecture and control algorithm.For the control system architecture,this paper uses the one-to-one distributed control method of equipment and controller,and puts forward the point-to-point master-slave control system;In the system communication architecture,the regional control layer is added to improve the information group sending and receiving ability of the system;In order to improve the operation efficiency of the system,this paper uses the intelligent load distribution mechanism;In the control algorithm,the paper chooses to use particle swarm optimization algorithm,and makes improvement on the value of inertia weight.In order to improve its disadvantage that it is easy to fall into local minimum,the genetic particle swarm optimization algorithm is proposed by using the method of algorithm fusion.At the same time,the algorithm adds the intelligent allocation calculation of energy consumption group,uses the dual residual mechanism to verify the optimization results of field control,and selects the operation allocation mode of the unit according to the results.According to the one-to-one control mode of the new control system,the parallel calculation design is adopted for the calculation of the control algorithm in order to improve the data calculation efficiency of the system.Thirdly,according to the characteristics of point-to-point master-slave control system,the energy consumption model of air conditioning system equipment is established.Based on the point-to-point distributed control in this paper,according to the transformation scheme of the control system,the minimum energy consumption model of each equipment is established on the premise that the working state of the system equipment can meet the front-end cooling load demand,and according to the real-time load rate（LR）of the equipment.Fourthly,according to the mathematical model,Matlab/Simulink is used for modeling and simulation.The simulation and experimental verification are carried out in terms of whether the algorithm used in this paper can effectively set the energy consumption curve,whether parallel computing can reduce the data processing time,whether the intelligent distribution of energy consumption group can improve the operation efficiency of the air conditioning system,whether the point-to-point master-slave control system can strengthen the energy-saving effect of the air conditioning system,and optimize the operation effectiveness of the system.