CR2032 button cell.Study the impact of energy storage power stations on grid proportionality

　　Study the impact of energy storage power stations on grid proportionality

　　Energy storage power stations mainly refer to energy storage systems composed of various types of energy storage methods, which can effectively achieve demand-side management, eliminate peak and valley differences, and smooth loads. By adjusting the operation mode of the energy storage power station, the electric energy sent by the distributed power sources is stored or adjusted, and the distributed power sources are connected to the power grid with high quality; the energy storage power station system can also be used to store electric energy when the power is abundant and when the power is in short supply. Release electric energy and solve the contradiction between supply and demand.

　　The famous American scholar Jeremy Rifkin first proposed the vision of the Energy Internet, which attracted widespread attention at home and abroad. The Energy Internet combines Internet technology on the basis of smart grids to change the energy utilization model. Rifkin believes that supporting the access of large-scale distributed power generation systems and distributed energy storage systems is one of the biggest features of the Energy Internet. The traditional power system's ready-to-use operation mode will be replaced by the energy storage, co-production, supply and use model, among which energy storage power stations will be one of the most important technologies of the Energy Internet. It is foreseeable that the current power system's out-of-the-box operation mode will be replaced by the energy storage, joint production, supply and use mode.

　　For a long time, the dynamic behavior analysis of the power grid has been mostly realized through the simulation-modeling-solving method based on reductionism, which makes it difficult to reasonably explain the internal mechanism of large-scale power outages caused by small faults. Complex network theory is used to analyze the topological structure of the power grid itself to study the fault propagation mechanism and critical dynamic behavior, thereby achieving system reconstruction, redesign and optimization.

　　Traditional power system nodes can be divided into two categories: power generation and power reception. For example, power stations are power generation nodes, and substations are power reception nodes. However, after adding an energy storage system, the topology and functions of the system will change accordingly. For example, an energy storage substation can be regarded as a power-receiving node when storing energy, and can be regarded as a power-generating node when discharging.

　　Energy storage power stations will have a direct effect and impact on the operation of the power grid due to their role conversion from power generation to power storage, and the topology of the power grid will inevitably change accordingly. Among them, the role transformation of energy storage power stations has the most direct impact on network proportionality. Assortative Mixing, also known as symmetry, is a special complex network topological structure feature. If a type of node with certain characteristics in the network tends to connect to nodes with the same characteristics, it is called Assortativity. If a node tends to connect to nodes with different characteristics, it is called Disassortativity. .

　　For a long time, scholars have done a lot of work on the application planning of energy storage power stations and established power station planning models with different energy storage methods in different application scenarios. Most of these models are based on the evaluation of economic benefits. In addition, the small-world characteristics and scale-free characteristics of power grids have also been studied in depth. Studies have shown that the increase in proportionality will gradually destroy the critical behavior of the system; the more frequent the occurrence of repeated node crashes, the greater the scale of the crash.

　　Based on the above analysis, this paper is based on the study of typical power grid proportionality and conducts further research on the changes in proportionality mix after the energy storage power station is connected to the power grid, aiming to find the intrinsic mechanism causing the difference in proportionality and provide a basis for studying the topology of smart grids. It provides the basis for the development and evolution of power systems and the critical behavior of power systems.

　　in conclusion

　　Commensurate hybridity is a special network topological structure characteristic and one of the important factors affecting the critical behavior of network self-organization. It is of great significance for studying the structural vulnerability of the power system, the inherent propagation mechanism of cascading faults and the corresponding dynamic behavior of the power grid.

　　Through the analysis of the g-l mixed mode of power grids with different structures, it is found that the differences in topological structure and functional positioning result in differences in the asymmetric characteristics of the power grid. A power grid model based on the NW small world network was designed. The distribution analysis of the model's symmetry coefficient, characteristic path length and aggregation coefficient found that the small world characteristics are the main factors that make some structural asymmetries more significant.

　　In order to study the impact of different access methods of energy storage power stations on network topology, an energy storage power station access model based on random methods and regular methods was designed. By analyzing the changing rules of the proportionality coefficient based on actual power grid topology parameters, it is found that as energy storage nodes are continuously connected to the network, the proportionality coefficient continues to increase, that is, the proportionality is enhanced. The enhancement of proportionality makes the distribution between different types of nodes in the network more uneven, which reduces the power grid's ability to withstand cascading failures.

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