基于非对称纳什议价分摊的新能源场站集群制储氢系统优化配置

Optimal Configuration of Hydrogen Storage System for New Energy Station Clusters Based on Asymmetric Nash Bargaining Allocation

  • 摘要: 电制氢系统是促进大规模新能源消纳的有力手段,然而其高昂的投资成本成为推广应用的主要障碍。本文研究了新能源场站群通过合作模式联合投建制储氢设施,向制氨工厂供给氢能的问题,旨在提高各场站可再生能源消纳率、实现氢能的稳定供给。首先分析制氨厂的氢需求特性,建立制氨厂氢需求模型;其次建立两阶段随机规划模型,用于确定制储氢系统的最优容量配置及运行策略;提出基于非对称纳什议价的利益分配机制,合理分摊合作投资成本并公平分配运营收益,以确保联合投资方案的稳定性与可持续性。针对典型新能源场站群开展算例仿真的结果表明,所提出的合作博弈优化配置方法能够将新能源场站群的总收益提升15%,且能够有效提高各个场站的总收益;而在考虑制氨厂的氢需求特性后,整体的制储氢系统需求可进一步降低约10%。

     

    Abstract: The hydrogen production system is a powerful means to promote the large-scale consumption of new energy, but its high investment cost has become the main obstacle to its widespread application. The issue of a cluster of new energy stations jointly investing in hydrogen storage facilities through a cooperative model to supply hydrogen energy to ammonia production plants is studied, aiming to increase the renewable energy consumption rate of each station and achieve stable hydrogen energy supply. First, the hydrogen demand characteristics of the ammonia plant is analyzed and a hydrogen demand model for the plant is established. Then, a two-stage stochastic programming model is developed to determine the optimal capacity configuration and operation strategy for the hydrogen storage system. An asymmetric Nash bargaining-based benefit allocation mechanism is proposed to reasonably share the cooperative investment costs and fairly distribute the operational profits, ensuring the stability and sustainability of the joint investment plan. The simulation results for a typical cluster of new energy plants indicate that the proposed cooperative game-based optimization method can increase the total revenue of the cluster by 15%, while also effectively enhancing the overall revenue of each individual plant. Furthermore, when considering the hydrogen demand characteristics of the ammonia production plant, the overall demand of the hydrogen production and storage system can be further reduced by approximately 10%.

     

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