Wind-light-fuel cell microgrid frequency control method based on robust firefly-particle swarm hybrid optimization

Abstract

The invention discloses a wind-light fuel cell microgrid frequency control method based on robust firefly particle swarm hybrid optimization. The method comprises the following steps of step 1, distributed power supply modeling, 1.1 a wind/light/fuel cell/diesel generator model; 1.2, an energy storage system model, extra electric energy generated in a non-peak period or when the solar energy intensity and the wind speed are higher can be stored in energy storage equipment such as a flywheel, a battery or a super capacitor, and the stored electric power can be reused in a peak load period or ina period that wind energy and photovoltaic power generation are not enough; step 2, constructing a microgrid model for frequency control; and step 3, carrying out FFPSO hybrid optimization PID control. According to the method, frequency deviation of the microgrid under different operation conditions (such as wind speed change and load demand change) is minimized.

Description

Technical field [0001] The present invention relates to a microglinal frequency control method. Background technique [0002] Power systems typically supply power to different types of loads located at different locations. Since these conventional power cannot be obtained in some remote and isolated places, due to the geographic restrictions of additional transmission and distribution lines, and the growing energy demand, it leads to the introduction of renewable energy into conventional power systems, such as solar photovoltaic, wind power. , Miniature hydraulic, etc. To meet the growing demand and minimize environmental pollution, transport loss. However, these renewable energy has high uncertainty, and gas generates depends on the weather. This phenomenon may result in a large fluctuation of the power system, and the stable operation of the threat system. To this end, this patent is directed to a micro-network containing a fan, a photovoltaic, a fuel cell, and a variety of ene...

AI Technical Summary

Problems solved by technology

[0003] First of all, most of the previous studies mainly proposed some control methods for the frequency fluctuation caused by the load uncertainty in the power system, but when renewable energy such as photovoltaics becomes popular, it may cause energy management problems

Some studies proposed a small signal analysis method for a microgrid composed of wind-fuel cell-diesel generators and energy storage components, but they did not apply any controller to obtain a better frequency control curve

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