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    基于氢燃机的"电-氢-电"综合能源系统设计与运行管理

    Design and Operation Management of "Power-Hydrogen-Power" Integrated Energy System Based on Hydrogen Gas Turbines

    • 摘要: 针对新型电力系统新能源占比高带来的出力波动、供需不匹配以及无功支撑能力差的问题,提出基于氢燃机"电-氢-电"耦合储能和调峰的解决方案,并构建双层嵌套优化模型。首先,外层以项目净现值最大化为优化目标,采用遗传算法确定系统内各组件的最佳容量配置;然后,内层以年度净收入最大化为优化目标,基于典型场景下的新能源出力波动与负荷变化,将外层容量作为输入,采用线性优化动态求解各组件运行策略。最后,以我国西北地区新能源大基地气象条件和典型工业负荷条件作为计算边界开展系统性能评估。结果表明:电氢电系统年弃电率4.9%,系统盈亏平衡点在第17年,系统的绿电率为99.9%。基于氢燃机的"电-氢-电"系统能够解决新型电力系统电力平衡问题,通过所建立的双层优化模型,优化系统配置和运行方式,有效提升了新能源消纳率,降低了系统投资和运行成本以及碳排放量,增强了能源供应稳定性,具有可行性与经济性。

       

      Abstract: To address such issues as output fluctuation, mismatch between supply and demand, and poor reactive power support caused by the high proportion of new energy in new power system, a solution based on hydrogen gas turbine "power-hydrogen-power" coupled energy storage and peak regulation was proposed, and a double-layer nested optimization model was constructed. Firstly, for outer layer, using the maximization of the project's net present value as the optimization objective, a genetic algorithm was used to determine the optimal capacity configuration of each component within the system. Secondly, for inner layer, aiming to maximize the annual net income as the optimization objective, the outer layer capacity was taken as the input and linear optimization was used to dynamically solve the operation strategies of each component, based on the fluctuation of new energy output and load changes in typical scenarios. Finally, the system performance evaluation was conducted with the meteorological conditions of the large new energy base in China's northwest region and typical industrial load conditions as the calculation boundaries. The results show that the annual abandoned power rate of the power-hydrogen-power system is 4.9%. The system's break-even point is in the 17th year, and the green power rate of the system is 99.9%. The "power-hydrogen-power" system based on hydrogen gas turbine can solve the power balance problem of the new power system. By the established double-layer optimization model, the system configuration and operation mode are optimized, effectively improving the renewable energy consumption rate, reducing system investment and operation costs as well as carbon emissions, enhancing energy supply stability, and it is feasible and economically viable.

       

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