Island risk-oriented wind-solar-storage system self-stabilization operation control method

Abstract

This application provides a self-stabilizing operation control method for wind-solar-storage systems facing islanding risks. The method includes: establishing power balance constraints and state of charge models under islanding conditions for each node in the distribution network that includes wind, solar, and energy storage units; collecting operational data of each node in real time at a fixed sampling period to construct a state vector reflecting the current operational cross-section of the wind-solar-storage system; constructing a historical state vector sequence for each node using a fixed-length sliding window, and using an LSTM network to predict whether each node will face islanding risks in the future; for nodes with islanding risks, constructing a multi-objective function that minimizes frequency and voltage deviations, maintains the healthy state of energy storage units, and minimizes load shedding, setting corresponding constraints, solving the function using an improved particle swarm optimization algorithm, adjusting the control parameters of the wind-solar-storage system, and sending them to the node at a lower frequency. This method can predict and proactively defend against islanding risks in advance.

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