Research on complementary dispatch based on multiobjective optimization model in wind-solar group coordinated control

Wind-solar complementary dispatching distributes output tasks according to a fixed ratio during the dispatching process through historical data statistics, resulting in low dispatching efficiency. Therefore, a complementary dispatching method based on a multi-objective optimization model in wind-solar group collaborative control is studied. The objectives of maximizing economic benefits and minimizing power fluctuations are quantitatively integrated, and the constraints of related objective functions are designed. The hybrid particle swarm algorithm is used to dynamically solve the model and select the dispatching scheme that meets the conditions. For the schemes that meet the conditions, a feedback control error correction mechanism is designed to output the optimal dispatching scheme. The experimental results show that this method has the smallest total output and load deviation, a high 24-hour absorption rate and low power fluctuation, and has significant advantages in improving the economic efficiency of new energy absorption and grid stability.