Power system dynamic equivalence method based on niche immune algorithm

Abstract

The invention relates to a power system dynamic equivalence method based on niche immune algorithm, which comprises the following steps: setting perturbation inside a research system, measuring the dynamic response to call wires of the research system and an external system in the perturbation period, equating the external system connected with the research system into a generator, establishing a generator model to be identified, identifying the generator model by using a niche immune algorithm so as to obtain parameters of the generator model, verifying and checking the measured dynamic response to call wires and the identified dynamic response to the generator model under the same excitation, verifying equivalence results and obtaining an equivalence model. The invention identifies generator parameters by using the niche immune algorithm, thereby improving the overall convergence, the convergence speed and the species diversity of the traditional immune algorithm, having the characteristics of high equivalence speed and high precision, solving the problems of speed and precision of an estimated equivalence method and being suitable for on-line and real-time safety analysis of a power system.

Description

technical field [0001] The invention belongs to the field of electric power system simulation, in particular to a dynamic equivalence method of an electric power system based on a niche immune algorithm for performing dynamic equivalent to an external system and identifying parameters of an equivalent machine by using a niche immune algorithm. Background technique [0002] At present, the power system is gradually developing towards large power grids, interconnection between power grids, and mixed AC and DC. The simulation and calculation scale of the power system is also increasing. It is becoming more and more difficult to simulate, calculate and analyze the power system. Therefore, , it becomes very urgent and necessary to simplify the power grid to a certain extent under the premise of ensuring a certain accuracy. Usually we can divide the system into the research system (the area that has a greater impact on the system) and the external system (the area that has a lesse...

AI Technical Summary

Problems solved by technology

The coherence equivalent method is to convert the generators that meet the coherence conditions into one generator. The problem is that the division of the coherent machine group is greatly affected by factors such as the network structure, the location and type of the disturbance, and has great limitations.

The mode equivalent method is to analyze the characteristic root of the system after linearizing the system and retain the mode corresponding to the main characteristic root. The problem is that the equivalent system is described by the state equation, not the actual system component model. Therefore, the program after equivalent value needs to be modified, and when the system is large, there is still the problem of "curse of dimensionality"

Estimated Equivalence Method Currently, the methods for estimating equivalent model parameters mainly include least squares method and genetic algorithm. When solving nonlinear problems, the least squares method is greatly affected by the initial point and difficult to converge; the genetic algorithm has poor global convergence and is prone to individual Degradation and other issues

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