[Objective

]

In order to better cope with the impact of the rapid development of new energy on the existing power grid structure and improve the stability and economy of thermal power unit operation

this paper proposes to construct a dual-layer optimization model of fire storage frequency regulation based on real

-time power prediction of thermal power units and fuzzy control allocation of energy storage power. [Methods

]

The upper layer of the model utilizes frequency deviation decomposition and real-time power prediction of thermal power to optimize the power benchmark

effectively overcoming the response delay of the unit. The lower layer introduces a fuzzy logic control strategy to achieve adaptive and precise power allocation between the thermal unit and the energy storage system. On this basis

multi-objective genetic algorithm is used to optimize the energy storage capacity configuration scheme

and the frequency modulation performance under different control strategies is quantitatively evaluated based on indicators such as system frequency fluctuation. Taking a 600 MW thermal power unit as the research object

the optimal energy storage configuration was obtained through algorithm as follows: flywheel energy storage power of 8.5 MW and capacity of 1.3 MW·h

and lithium battery energy storage power of 3.6 MW and capacity of 14.6 MW·h. The total investment cost corresponding to this configuration is 2.027 7×10

9

yuan

and the actual income during the 400 s frequency modulation cycle is 850.95 yuan. [Results

]

After simulation verification using MATLAB/Simulink

it was found that under step disturbance

the dual layer optimization strategy of fire storage coordination reduces the frequency fluctuation of the system to 4.826×10

–2

Hz

which is 38.53% lower than the independent frequency regulation of the fire power unit. The average absolute deviation of power fluctuation is reduced to 4.224 MW

which is 32.57% lower than the independent operation. Under continuous disturbance

the frequency fluctuation of the system decreased by 19.31%

the average absolute deviation of power fluctuation decreased by 78.71%

and the actual contribution of electricity increased by 0.527 MW·h. The results show that the thermal-storage coordinated dual layer optimization control strategy presented in this paper effect

ively mitigates system frequency and power fluctuations

thereby alleviating the frequency regulation pressure on thermal power units. Concurrently

it enhances the utilization efficiency of the energy storage system and improves the economic viability of frequency regulation services. [Conclusion

]

This research thus provides a novel technical direction for the flexible transformation of thermal power plants

enabling them to play a more supportive and complementary role in future power systems dominated by renewable energy sources.