Wind and light storage field station group inertia evaluation method based on ant colony algorithm
An ant colony algorithm and wind-solar-storage technology, applied in calculation, calculation model, photovoltaic power generation, etc., can solve the problems of poor robustness, inability to reflect wind-solar storage stations, and low precision, so as to reduce inaccurate measurement and improve system stability performance and reduce failover time
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[0037] Such as figure 1As shown, a method for evaluating the inertia of wind-solar storage station groups based on ant colony algorithm. This method optimizes the evaluation points of the power system inertia of wind-solar storage station groups through the ant colony optimization algorithm, and optimizes the diversified virtual environment of wind-solar storage stations. The contribution of inertia resources to system inertia solves the problems of large data demand, poor robustness, and low accuracy under normal and small disturbance states in existing inertia evaluation methods. The specific process steps are as figure 1 Shown:
[0038] The evaluation method of station group inertia of wind and solar storage based on ant colony algorithm includes the following steps:
[0039] Step 1: Use the PMU measured data to extract the dynamic behavior data information of the power grid in each regional node of the wind-solar-storage station group;
[0040] Step 2: Online evaluation...
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