Micro-grid small signal stability analyzing and parameter coordinated setting method

Abstract

The invention discloses a micro-grid small signal stability analyzing and parameter coordinated setting method, and belongs to the technical field of power system micro-grid operation and control. The micro-grid small signal stability analyzing and parameter coordinated setting method comprises the steps of establishing micro-grid mathematical models which comprise a network and load small signal model and an inverter small signal model and are in need of parameterized design, determining each parameter of the micro-grid according to the root-locus method and using the parameters as initial values of the particle swarm algorithm, conducting sensitivity analyzing through a characteristic value, determining a leading parameter, determining the value range of all the parameters or the mathematical relationships among all the parameters, solving the constraint conditions in the process by the utilization of the particle swarm algorithm, determining the initial values, the parameters in need of optimization and the constraint conditions, and conducting parameter optimization and coordinated setting by the utilization of the particle swarm algorithm. By means of the micro-grid small signal stability analyzing and parameter coordinated setting method, determining of each parameter can be realized quickly and accurately in a coordinated mode, the complexity of setting the parameters one by one is avoided, and the system is made to be more stable on the basis of small signal stability; target functions and boundary conditions are flexibly adjusted, the working time is greatly shortened and the efficiency is improved.

Description

technical field [0001] The invention relates to a method for small-signal stability analysis and parameter coordination tuning of a micro-grid, in particular to a method for analyzing the stability of micro-grid small-signals and performing parameter coordination and tuning by combining root locus method and particle swarm algorithm, which belongs to electric power System microgrid operation and control technology field. Background technique [0002] Microgrid is a concept relative to the traditional large power grid. It is a new type of network structure. It is a system unit composed of a group of micro power sources, loads, energy storage systems and control devices. It can be operated in parallel with the external power grid or isolated. . (For example, "Micro-grid Operation Control and Protection Technology", Zhang Jianhua, Huang Wei. Beijing: China Electric Power Press, 2010, etc.) [0003] Small-signal stability, also known as small-disturbance stability, refers to t...

AI Technical Summary

Problems solved by technology

The root locus method has fast calculation speed, simple principle, and convenient operation. It is often used as the first choice for parameter setting. However, this method lacks coordination for parameter setting and is greatly affected by specific systems.

The method of converting to a specific optimization problem has a strict mathematical basis, and the objective function and boundary conditions can be flexibly set according to the stability requirements and parameter constraints. However, there are multiple local minimum points in the optimization problem. If the initial value is calculated Poor choice, easy to fall into local optimal solution

Therefore, in view of the above problems, the present invention proposes a method of combining the root locus method and the particle swarm algorithm to determine the parameters of the converter, which integrates the characteristics of the root locus method, which is fast, concise, and convenient, and the particle swarm algorithm is flexible and accurate, and overcomes the root locus It also solves the problem of difficulty in determining the initial value of the particle swarm optimization algorithm.

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