能源岛多能互补自适应变步长SMPC分层优化调度研究OA

Based on a multi-objective hierarchical optimization method,a hierarchical collaborative optimization model for the multi-energy complementary system in an offshore energy island was constructed,considering both system balance and economic efficiency of scheduling.To address the impact of the volatility and randomness of wind and solar energy on the scheduling of the offshore energy island system,the stochastic model predictive control(SMPC)method was adopted to optimize the scheduling of the offshore energy island.A scheduling method of adaptive variable step-size SMPC was proposed.In the rolling optimization link of SMPC,the real-time scheduling deviation degree was tracked through a deviation reference coefficient using the proposed method,and the rolling optimization step-size was adjusted accordingly.This addressed the problems of scheduling accuracy loss and local optimization in the rolling optimization phase of the traditional SMPC scheduling method,thereby balancing scheduling accuracy and globality.The simulation results show that this method can effectively improve the scheduling accuracy and shorten calculation time.