市场环境下电网侧储能电站的容量电价核定优化

Optimization of Capacity Tariff Approval for Grid-side Energy Storage Stations in Market Environment

  • 摘要: 基于目前电网侧储能存在容量电价核定机制不适应电力市场的发展,收益类型笼统不清,电网回收投资成本难度大等问题,构建了容量电价核定优化模型。该模型以传统电网侧储能电站的容量电价核定流程为基础,考虑电网侧储能的成本疏导路径会随着电力市场的发展而增加,因此细化了容量电价核算的收益类型,为增强电网侧储能的回收成本能力,对内部收益率进行动态调整,得到了市场环境下电网侧储能电站的容量电价优化核定方案,测算出电网侧储能的不同情景下的容量电价水平,对回收电网侧投资、保障电力系统绿色转型良性发展具有十分重要的意义。算例计算与敏感性分析结果表明,该优化核定模型可帮助电网侧储能的价格机制衔接电力市场的发展,在不同的市场阶段都获得合理收益,面对市场环境的变化,优化模式相对传统模式具有更高的内部收益率与更短的投资回收期,证明该模式下电网侧储能具有更强的抗风险能力。

     

    Abstract: In response to the current challenges of the inadequate capacity tariff approval mechanism for energy storage on the grid side, vague and unclear revenue types, and difficulty in recovering investment costs, an optimization model for capacity tariff approval has been constructed. This model is grounded in the capacity tariff approval process of traditional grid-side energy storage stations, considering that the cost diversion path of grid-side energy storage is expected to expand as the electricity market evolves. Therefore, the profit types of capacity tariff calculation are refined. To enhance the cost recovery ability of grid-side energy storage, the internal rate of return is dynamically adjusted. Consequently, an optimized capacity tariff approval scheme is obtained for grid-side energy storage stations in the market environment. Calculating the capacity tariff levels in different scenarios of grid-side energy storage is of great significance for recovering the grid-side investment and ensuring the healthy development of green transformation in the power system. The calculation examples and sensitivity analysis results demonstrate that the optimized verification model can facilitate the integration of the price mechanism of grid-side energy storage with the development of the electricity market, obtaining reasonable returns across various market stages. In response to the development of the market environment, the optimized model exhibits a superior internal rate of return and a shorter investment payback period compared to the traditional model,which proves that grid-side energy storage has stronger risk resistance ability under this model.

     

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