关键词: 分层优化, 海上能源岛, 多能互补系统, 自适应变步长, 随机模型预测控制

Abstract: Based on a multi-objective hierarchical optimization solution method, this paper constructs a hierarchical collaborative optimization model for the multi-energy complementary system of an offshore energy island, considering both system balance and scheduling economy. To address the impact of the volatility and randomness of wind and solar energy on the scheduling of the energy island system, the Stochastic Model Predictive Control (SMPC) method is adopted to optimize the scheduling of the offshore energy island. This paper innovatively proposes a scheduling method of adaptive variable step-size stochastic model predictive control. In the rolling optimization link of SMPC, this method tracks the real-time scheduling deviation degree through a deviation reference coefficient and changes the rolling optimization step-size, solving the problems of scheduling accuracy loss and local optimization in the rolling optimization link of the traditional stochastic model predictive control scheduling method, and balancing scheduling accuracy and globality. The simulation results show that this method can effectively improve scheduling accuracy and shorten calculation time.

Key words: Hierarchical optimization, Offshore energy island, Multi - energy complementary system, Adaptive variable step-size, Stochastic model predictive control