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竖井式重力储能系统模型构建及功率优化

Model Establishment and Power Optimization of Vertical Gravity Energy Storage System

  • 摘要:
      目的  随着“碳达峰”“碳中和”目标的提出,全球推动能源结构转型,加快构建以新能源为主体的新型电力系统。新型能源并网的间歇性与不稳定性对储能技术提出了更高的要求。重力储能作为一种新型物理储能技术,具有广阔发展前景,但其输出功率缺乏稳定性,功率曲线亟待优化。
      方法  文章对竖井式重力储能系统的运行过程进行分析,建立了物理模型、效率模型和功率模型。在此3种基本模型上建立了多目标优化的总模型,以功率平稳、波动率最小为优化目标,以3种模型结合实际情况设置约束条件,得到重物在运行过程中的最优参数配置。
      结果  经过储能系统的仿真验证,所建立总模型在电网需求功率等级分别为30 MW、40 MW、50 MW时,对输出功率曲线均有较好的优化效果,优化后的波动率分别为3.9%、4.6%、8.7%。
      结论  基于所提出的优化模型,重物介质质量不变的前提下,随着电网需求功率等级的提高,输出功率波动率随之提高,功率等级增加了20 MW的情况下,功率波动率增加了4.8%;电网需求功率等级不变的前提下,随着重物介质质量的增加,输出功率波动率随之降低,当重物质量从80 t增加到了150 t时,40 MW下的功率波动率减小4.2%。该模型有较好的可行性,对日后竖井式重力储能工程项目的建设具有指导意义。

     

    Abstract:
      Introduction  With the proposal of the "carbon peak" and "carbon neutrality" goals, the global push for the transformation of the energy structure is accelerating the construction of new power systems dominated by renewable energy. The intermittency and instability of the new energy sources connected to the grid place higher demands on energy storage technologies. Gravity energy storage, as a novel physical energy storage technology, has broad prospects for development. However, its output power lacks stability, and the power curve urgently needs to be optimized.
      Method  This paper analyzed the operation process of a shaft-based gravity energy storage system and established physical, efficiency, and power models. Based on these three fundamental models, an overall model for multi-objective optimization was developed with the goals of stabilizing power output and minimizing fluctuation rates. Constraints were set by combining the three models with real-world conditions to determine the optimal parameter configuration for the weight during operation.
      Result  Simulation verification of the energy storage system shows that the established overall model effectively optimizes the output power curve at the grid demand power levels of 30 MW, 40 MW, and 50 MW. The optimized fluctuation rates are 3.9%, 4.6% and 8.7%, respectively.
      Conclusion  Based on the proposed optimization model, under the condition of constant medium mass of the weight, the output power fluctuation increases as the grid demand power level rises. When the power level increases by 20 MW, the power fluctuation rate increases by 4.8%. Under the condition of constant grid demand power level, the output power fluctuation rate decreases as the medium mass of the weight increases. When the mass of the weight increases from 80 t to 150 t, the power fluctuation rate at 40 MW decreases by 4.2%. The model demonstrates good feasibility and provides valuable guidance for future vertical gravity energy storage projects.

     

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