船舶柴储混合电站调频过程中，爬坡率更快的储能频繁充放电快速响应负载波动，优化频率动态性能的同时牺牲了储能使用寿命，如何考虑柴储差异化爬坡特性和储能寿命经济性，最优分配柴储协同调频功率是混合动力船舶功率管理难题。本文提出计及储能电池寿命的柴储协同调频双层模型预测控制方法，利用主动预测方法寻迹爬坡率不同的柴储混合电源最优出力，解决自动发电控制等被动调控方法难以同时兼顾调频质量和经济性的难题。建立系统频率-柴发有功-储能有功的状态空间方程，提出柴储协同调频预测控制上层功率分配方法，根据柴储响应特性和运行约束分配柴储调频功率。构建计及荷电状态、循环次数、投资成本的储能电池寿命经济性模型，提出储能系统寿命经济性优化控制下层功率分配方法，根据寿命经济性分配各储能电池包调频功率。在MATLAB/Simulink中搭建船舶电力系统仿真模型，相较于自动发电控制等被动调控方法，仿真结果表明所提方法在动态调频过程中同时提高了储能寿命经济性和系统频率稳定性。

In the frequency modulation process of a ship diesel-storage hybrid supply system, the energy storage with a faster ramp rate frequently charges and discharges in response to load fluctuations, sacrificing the lifespan of the energy storage while optimizing the frequency dynamic performance. It is a challenging task to consider the differentiation of diesel and storage climbing characteristics and the economic efficiency of energy storage lifespan to achieve the optimal allocation of diesel and energy storage coordinated frequency modulation power in hybrid power management. This paper proposes a diesel-storage coordinated frequency modulation double-layer model predictive control method that takes into account the lifespan of energy storage batteries. Using the active prediction method to track the optimal output of different climbing rates of diesel and storage hybrid power sources, solving the problem that passive control methods, such as AGC, are difficult to simultaneously consider the quality and economic efficiency of frequency modulation. A state space equation of system frequency-diesel-storage is established, and an upper-level power allocation method for diesel-storage coordinated frequency modulation prediction and control is proposed, allocating diesel frequency modulation power according to the response characteristics and operating constraints of diesel and storage. A lifespan economic model of energy storage batteries that considers the state of charge, cycle times, and investment cost is constructed, and a lower-level power allocation method for energy storage system lifespan economic optimization control is proposed, allocating frequency modulation power to each energy storage battery pack based on lifespan economic efficiency. A ship power system simulation model is built using MATLAB/Simulink, and compared with passive control methods such as AGC, the simulation results show that the proposed method simultaneously improves the lifespan economic efficiency of energy storage and the system frequency stability in the dynamic frequency modulation process.