Adaptive modeling and analysis of distributed photovoltaic absorptive capacity based on improved simulated annealing algorithm

Abstract

Abstract In order to improve the adaptive modeling and operational stability of distributed photovoltaic absorption capacity, a distributed photovoltaic absorption capacity adaptive modeling method based on improved simulated annealing algorithm is proposed. This method constructs a level source network load storage model for distributed photovoltaic consumption and establishes a control parameter analysis model through consumption scheduling and active/reactive power coordination control methods to analyze the dynamic limit load characteristics of the distribution network. Using an improved simulated annealing algorithm to analyze the constraint characteristics of distributed photovoltaic consumption patterns, in order to achieve adaptive modeling of the absorption capacity of distributed photovoltaic systems based on actual needs and grid transmission limitations. The test results show that this method has good dynamic ultimate bearing capacity and optimization performance, achieving the optimal economic and safety solution for distributed photovoltaic absorption.