Optimization Method for Transmission Network Structure Considering Adaptability of Large-Scale Wind Power Integration

Large-scale wind power integration will lead to deterioration of the adaptability of the transmission network structure. By establishing a multi-objective transmission network structure optimization model that considers economy and adaptability, the transmission network's adaptability to large-scale wind power integration is improved. This paper proposes four adaptive indicators, including economy, failure, dissipation, and fluctuation, to evaluate the static adaptability of power systems. Multi-scenario technology is used to process massive data generated by source-load fluctuations, reducing the number of computing scenarios. The multi-objective optimization model was solved by using the weighted minimal model ideal point method based on genetic algorithm. The results of examples show that the structure optimization method effectively improves the adaptability of the transmission network when large-scale wind power is connected to the grid.