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计及海上风电制氢的海岛多能微网鲁棒优化调度

Robust Optimization Scheduling of Island Multi-energy Microgrid Considering Offshore Wind Power to Hydrogen

  • 摘要: 海上风电制氢技术可为解决偏远海岛用户的用能需求提供可行途径。针对海上风电出力不确定性和海岛供能方式单一的问题,提出一种基于概率盒改进多场景置信间隙决策的计及海上风电制氢的海岛多能微网鲁棒优化调度模型。首先,根据海岛用能实际情况,构建含海上风电制氢系统的海岛多能微网运行框架。然后,在考虑风电出力不确定性和需求响应的基础上,基于概率盒理论和多场景置信间隙决策方法构建海岛多能微网鲁棒优化调度模型,并采用灰狼优化算法进行求解。最后,以广东某海岛为例进行仿真分析。算例结果表明,所提模型能够有效提高风电消纳水平,多能互补有效降低用能成本,更具经济性和环保性。

     

    Abstract: The offshore wind power to hydrogen technology provides a feasible way to solve the energy consumption needs of remote island users. To address the issues of offshore wind power output uncertainty and single island energy supply mode, this paper proposes a robust optimal scheduling model for island multi-energy microgrid considering offshore wind power to hydrogen using probabilistic box-improved multi-scenario confidence gap decision-making. Firstly, an operation framework for island multi-energy microgrid containing offshore wind power to hydrogen system is designed based on the existing state of island energy use. Secondly, considering the uncertainty of wind power generation and the demand response, a robust optimal scheduling model for island multi-energy microgrid is developed using the probabilistic box theory and the multi-scenario confidence gap decision-making theory, and the grey wolf optimization algorithm is employed to solve the model. Finally, using an island in Guangdong for case study, the simulation analysis demonstrates that the proposed model can significantly improve the wind power consumption, effectively lower the energy-use cost of multi-energy complementarity, and be more economical and environmentally friendly.

     

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