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Adaptive SMPC for Multi-Objective Optimal Scheduling of Offshore Wind Farm Cluster Energy Island System School of Renewable Energy, Hohai University National Wind P.
- Format:
- Book
- Conference/Event
- Author/Creator:
- Huang, Haocheng, author.
- Zhang, Jinqi, author.
- Zhou, Fengfeng, author.
- Yan, Qihui, author.
- Xu, Chang, author.
- Yin, Gaojun, author.
- Conference Name:
- 2025 2nd International Conference on Sustainable Development and Energy Resources (SDER 2025) (2025-08-01 : Shenzhen, China)
- Language:
- English
- Subjects (All):
- Control systems.
- Optimization.
- Agricultural vehicles and equipment.
- Local Subjects:
- Control systems.
- Optimization.
- Agricultural vehicles and equipment.
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2026
- Summary:
- Based on the multi-objective hierarchical optimization solution method, this paper takes both system balance and scheduling economy into account, and constructs a hierarchical collaborative optimization model for the multi-energy complementary system of offshore energy islands. To address the impact of the volatility and randomness of offshore wind farm clusters on the scheduling of energy island systems, the Stochastic Model Predictive Control (SMPC) method is adopted to optimize and solve the scheduling of offshore energy islands. This paper innovatively proposes a scheduling method based on adaptive variable-step stochastic model predictive control. In the rolling optimization process of SMPC, this method tracks the real-time scheduling deviation degree through the deviation reference coefficient and changes the rolling optimization step size. It solves the problems of insufficient scheduling accuracy and being trapped in local optimization in the rolling optimization process of the traditional stochastic model predictive control scheduling method, and takes both scheduling accuracy and globality into account. The simulation results show that this method can effectively improve the scheduling accuracy and shorten the calculation time
- Notes:
- Vendor supplied data
- Access Restriction:
- Restricted for use by site license
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