Abstract: In the case of multiple photovoltaic power sources in the microgrids, the power disturbance caused by the influence of light intensity and temperature on photovoltaic power generation can lead to significant deficiencies in traditional centralized single photovoltaic-storage-load control. This paper proposes a control method for photovoltaic-storage-load in microgrids with photovoltaic sources to resist power disturbances, which constructs a photovoltaic power source model for microgrids. In response to the intermittency, randomness, and variability of photovoltaic power output, the disturbance observation method in the maximum power point tracking algorithm is employed to dynamically adjust its operating point. For energy storage devices, the charging and discharging power is adjusted based on their state of charge and the power demand of the microgrid, achieving power disturbance control. Under the premise of stable power control, a multi-agent consensus algorithm is used for coordinated control, treating photovoltaic power sources, energy storage devices, and loads as independent agents. By iteratively updating the state variables of each agent to make the converge to a conststant state, thus obtaining power reference values for each component and achieving anti-power disturbance control for photovoltaic power sources, energy storage devices, and loads in microgrids. Experimental results show that this method can effectively coordinate power distribution. The power of the photovoltaic source fluctuates around 100 kW, reaching a higher peak near 80 min, with a relatively stable frequency change rate, verifying its superiority in stable control of microgrids.

    Key words: photovoltaic power source; microgrid; energy storage device; load demand; disturbance control; multi-agent consensus algorithm