| With the continuous improvement of technology,the social development shows an evergrowing demand for energy.The increasingly high demand for scale of infrastructures such as buildings,factories,data centers and medical facilities,the increased complexity and diversity of equipment,as well as the increased proportion of non-linear loads make it more important to keep the coherence and stability of power supply.The great enhancement of communication technology and computer information processing technology has led to the rapid development of multi-intelligent distributed control technology,thus providing a corresponding basis for grid control optimization,distributed load frequency and voltage frequency regulation.The integration of advanced information and communication technology,sensor technology and automatic control technology in the grid are conducive to the access of the grid to distributed energy devices and improve the performance of the grid in terms of operational efficiency and transient stability.But at the same time,new challenges for the network security of the smart grid and the stability of the power system ensue.Therefore,in view the effectiveness problem of information feedback,control and processing,this paper proposes a stability control method for rapid system recovery based on the multi-intelligent body swarm control theory and the idea of partition optimization from the perspective of the interactive influence of information network and physical devices of the information-physical system,which improves the transient stability of the smart grid.The main research contents of this paper are as follows.Firstly,information-physical interaction system for the smart grid is modeled which considers to take the entire smart grid as a controllable multi-agent system and each agent includes a synchronous generator,phase measurement unit and sensors and other devices.A framework is also gived that can describe the physical coupling and interaction of smart grid information among various agents.On the basis of the constructed information-physical interaction system model,a distributed controller based on swarming algorithm is proposed to solve the stable operation problem of the smart grid information-physical network fusion system.Secondly,a distributed control strategy based on partition optimization is further proposed to improve the transient stability and resilience of the smart grid.This strategy can be used to solve the problems of information computation and redundancy of the smart grid and the performance of the controller,and to reduce the cost of communication processing to a certain extent,thus improving system stability.State similarity is used to partition the intelligences in a ’lead-follow’ collaborative manner to achieve a more optimal distributed control of the intelligences.Through information-physical coupling and energy storage devices,power regulation is carried out to restore all synchronous generators in the smart grid to synchronous operation.Finally,based on the MATLAB/Simulink platform using the IEEE39-node system,the simulation experiment verification is carried out.The feasibility of the smart grid distributed controller based on the swarming algorithm proposed in Chapter 3 is verified.Compared with other control methods,the simulation study also verifies the effectiveness of the distributed control strategy based on zonal optimization proposed in Chapter 4,which can restore system stability more quickly.This study can reasonably reduce the equipment operation cost,improve the system response speed and enhance the transient stability of the smart grid. |
