OPTIMIZATION OF MICROGRID SECONDARY BATTERIES ENERGY STORAGE CONSIDERING USER-SHARED PEAK-SHAVING AUXILIARY SERVICE COST
To enhance the peak-shaving and valley-filling effectiveness in residential microgrids and reduce the cost of energy storage system,this paper adopts secondary batteries as the chosen energy storage solution.The paper innovates beyond existing optimization models by involving multiple entities on both the user and energy storage sides concurrently in peak-shaving.A microgrid secondary batteries energy storage optimal configuration model is proposed,considering user-shared peak-shaving auxiliary service cost.Initially,the paper introduces relevant mathematical models for power generation,load calculation,and energy storage charge and discharge.Subsequently,the paper formulates objective functions,aiming to minimize both the cost of configuring the secondary batteries energy storage system and the user-shared peak-shaving auxiliary service cost.The particle swarm optimization algorithm is adopted for the model solution.Finally,a case study is conducted on a residential microgrid to compare the economic and effective performance of the proposed method.Additionally,sensitivity analysis of the cost of secondary batteries energy storage configuration is performed to examine the impact of parameter variations on the total cost of energy storage batteries.
microgridssecondary batteriesbattery storageoptimal configurationpeak-shaving auxiliary service
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