Abstract
In order to reduce the cost of power grid transformation, a phased quantitative analysis model of power grid investment scale based on logistic function is proposed. The traditional logistic function is optimized by adding random variables, and the characteristic points are obtained by multi-stage derivation. Combined with the power grid operation performance index and S-curve fitting of logistic function, the investment scale stage of power grid is divided. Taking the minimum variance of the comprehensive evaluation margin of power grid performance as the optimization objective of the phased quantitative analysis model of power grid investment scale, the investment scale stage of the power grid is realized under the set constraints Qualitative and quantitative analysis. The experimental results show that the model can allocate the investment amount of different levels of power grid according to the comprehensive performance of the power grid, and the highest fitting degree with the actual planning investment amount can reach 99.70%, which can realize the reasonable investment of all levels of power grid.
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