Power system measurement and load parameter analysis and identification method

Abstract

An electric power system measurement and load parameter analysis and identification method relates to an electric power system parameter identification method, and comprises the following steps: firstly, clustering and analyzing loads according to load measurement information, and determining a load recording device installation place; secondly, constructing a comprehensive load model of the parallel static characteristic load of the motor, and establishing an identification target function; performing parameter identification by adopting a hybrid optimization algorithm combining an ant colonyalgorithm and a gradient algorithm through measured data of a load recording device; optimizing parameters on multiple identification results by utilizing unbiased and optimal estimation characteristics of a Kriging algorithm; and finally, counting load models of different stations to form a load model parameter library. The speed of parameter identification is increased, parameter optimization is realized for multiple identification results by adopting a Kriging algorithm, and the precision of parameter identification is improved. The method can provide a model basis for research in the fields of electric power special planning, electric power system stability analysis, electric power system energy efficiency evaluation and the like.

Description

technical field [0001] The invention relates to a power system parameter identification method, in particular to a power system measurement and load parameter analysis and identification method. Background technique [0002] The development of the power system and the realization of regional interconnection have made the scale of the power system increasingly larger and the structure of the power grid more complex. While bringing significant benefits to the national economy, the operating point of the power system is getting closer and closer to the stability limit, and the voltage of the entire system There is an ever-increasing risk of instability and even voltage collapse. At the same time, in the context of the smart grid, the real-time operation data brought about by the informatization and interaction of the power system and the grid connection of various distributed power sources have brought new challenges to the operation, planning, and design of the power system. ...

AI Technical Summary

Problems solved by technology

There are many algorithms to solve power system optimization problems: such as gradient algorithms, which have strong local search efficiency, but poor global robustness; simulated evolution algorithms, which have strong global search capabilities, but poor local search efficiency

Electric load model parameter identification algorithms mainly include genetic algorithm, ant colony algorithm, particle swarm algorithm and gradient algorithm, etc. Among them, the ant colony algorithm simulates the foraging behavior of real ants in nature, and has the advantages of global performance, positive feedback and good synergy , but takes a long time to calculate

Images