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基于混合Wasserstein两阶段分布鲁棒的多区域含氢综合能源系统合作运行优化

Cooperative Operation Optimization for Multi-region Hydrogen-Integrated Integrated Energy System Based on Hybrid Wasserstein Two-Stage Distributionally Robust

  • 摘要: 耦合氢能源的综合能源系统(integrated energy system,IES)单独运行受源荷不确定性影响大,传统鲁棒优化过于保守导致经济性差。为了提升多区域电能交互下各局部IES的鲁棒性与经济性,提出基于混合Wasserstein两阶段分布鲁棒的多区域含氢IES合作运行优化策略。首先,基于Wasserstein距离的概率分布模糊集建立min-max-min三层两阶段分布鲁棒优化模型;其次,通过改进纳什谈判原理构造合作成本最小问题和交易电价最优问题激励各主体积极参与合作;最后,提出交替方向乘子法(alternating direction multiplier method,ADMM)嵌套分布式列与约束生成(column and constraint generation,C&CG)算法的方式,在保护隐私下求解问题。算例表明,所提策略具有良好的鲁棒性,同时改善了传统鲁棒优化的保守性,通过合作运行提升了经济性。

     

    Abstract: An integrated energy system (IES) coupled with hydrogen energy is significantly influenced by source-load uncertainties when operating alone. Traditional robust optimization techniques are overly conservative, which impedes the economic performance. In order to enhance the robustness and economy of each local IES under multi-region power interactions, this paper puts forward a cooperative operation optimization strategy for multi-region hydrogen-integrated IES based on hybrid Wasserstein two-stage distributionally robust. Firstly, a min-max-min three-layer two-stage distributionally robust optimization model was established based on the fuzzy set of the probability distribution of Wasserstein distance. Secondly, the collaborative cost minimization and optimal pricing problems are formulated by applying enhanced Nash bargaining principles to incentivize active participation from all entities. Finally, we proposed an ADMM-nested distributed C&CG algorithm to solve the problems while preserving privacy. Case study shows that the proposed strategy exhibits good robust performance while enhancing the conservatism of traditional robust optimization techniques, and improves economic efficiency through cooperative operation.

     

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