Abstract
The development of power energy structures and information communication technology has promoted the renewal of smart grid information-physical structures. At the same time, the changes in the smart grid energy structure and the vulnerability of the information network threaten the stability of the power system and uses multiagent control theory to improve the transient stability of the power grid which has strong practicability. In this paper, an optimized distributed control scheme is proposed for application to the smart grid model so that the grid system can flexibly adapt to the external operating conditions and recover to stable operating conditions after being disturbed. In this paper, an intelligent power grid information-physical network simulation system is established. According to the information exchange within the multiagent system, groups of coherent generators in the disturbed power grid in different regions are identified and controlled. Distributed control is applied to maintain the exponential frequency synchronization and phase angle aggregation of the synchronous generators to achieve transient stability. Finally, the effectiveness and rapidity of the proposed distributed optimal control scheme are verified by simulation analysis of the IEEE 39 node model.
Highlights
With the reorganization and renewal of the energy structure in recent years, the standards of smart grid systems in terms of their transient stability have been raised
A smart grid itself is based on the ultra-high-voltage UHV backbone transmission network and deeply integrates more stable information network technology to establish a strong power system network, realizing close connection and integration of the power system and information system [1]. e development of CPSs promotes the deep integration of physical power systems and power information systems
To ensure that the power grid can quickly respond after being disturbed by information and a physical disturbance and reduce the implementation time of transient stability zone control, necessary information network reliability optimization measures are taken to reduce information redundancy and unnecessary calculation and achieve the purpose of real-time control
Summary
With the reorganization and renewal of the energy structure in recent years, the standards of smart grid systems in terms of their transient stability have been raised. In this paper, based on the rules of speed consistency and group concentration of a multiagent system, the phase angle (rotor angle) aggregation and frequency consistency of power grid generators are realized by using the local and associated node information to inject power into or absorb power from generator nodes through an external energy storage device (such as a flywheel) to ensure synchronous operation of the generators and realize transient stability of the power system. In the context of transient stability, this paper integrates information and physical nodes into an agent, adopts the distributed control strategy of a “leading assisting” agent, and utilizes the information of local and other regional physical nodes and the coupling relationship of the physical network It realizes global information flow and stable operation of the system through the interaction of the information and physical networks and external energy storage. The IEEE 39 node grid model is used as an example to demonstrate the effectiveness of the application of optimized distributed control in the smart grid model to maintain the stability of the system [27]
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