Island microgrid frequency control method based on random acceleration particle swarm algorithm

Abstract

The present invention discloses an island microgrid frequency control method based on a random acceleration particle swarm algorithm. The method concretely comprises: the frequency variation [delta]f of a microgrid is taken as input variable, and an optimal output membership function parameter is found through optimization of the random acceleration particle swarm algorithm; the obtained optimal parameter is configured to replace an output membership function parameter in an original fuzzy logic inferer; the fuzzy logic inferer employs a new output membership function parameter to perform fuzzification processing of the PI controller output quantity, the ambiguity resolution operation is performed, PI controller parameters Kp and Ki are obtained through scale transform, and the parameters in the current PI controller are replaced. The PI controller output controls the micro-gas turbonator to rotate to realize frequency regulation in the microgrid. Through combination of the particle swarm algorithm and the fuzzy logic algorithm, the island microgrid frequency control method based on the random acceleration particle swarm algorithm forms combination intelligent optimization, the optimization speed is obviously faster than that of the genetic algorithm, and the performances are improved.

Description

technical field [0001] The invention relates to the technical field of micro-grid control, in particular to a frequency control method and a controller of an isolated island micro-grid. Background technique [0002] With the increasing demand for electric energy, the penetration rate of renewable energy is getting higher and higher, and a large number of non-traditional power sources entering the power system have brought a series of problems. On the one hand, it increases the complexity and uncertainty of the traditional system; on the other hand, On the one hand, whether these new energy power generation devices can run stably together with conventional generator sets during use is a new challenge that needs to be solved at present. [0003] The microgrid includes a large number of new energy power generation devices distributed at the user end, and is integrated in the microgrid in the form of distributed power generation. Typical distributed power generation includes: m...

AI Technical Summary

Problems solved by technology

This method uses the combination of two areas and power, does not consider the relevant weights, and only uses the particle swarm method for single optimization, and the robustness is not ideal.

[0009] In 2013, Su Haibin and others published the paper "Frequency Fuzzy Control Method of Micro-grid Based on Genetic Algorithm". Due to the slow operation speed of genetic algorithm, it is difficult to achieve real-time tracking and control of micro-grid frequency, and the control performance is not easy to meet the requirements of micro-grid.

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