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The analysis of innovative design and evaluation of energy storage system based on Internet of Things
The Journal of Supercomputing ( IF 2.5 ) Pub Date : 2021-06-15 , DOI: 10.1007/s11227-021-03931-0
Jun Liu

An Internet of Things (IoT)-based informationized power grid system and a hierarchical energy storage system are put forward to solve energy storage problems in new energy power construction in remote areas. The system applies IoT to construct a distributed new energy grid system to optimize electric energy transmission. The information model is employed to establish a hierarchical energy storage system to combine the advantages of distributed energy storage and centralized energy storage, thereby enhancing the transmission grid security further. An indicator system is established to evaluate the energy storage system, considering the technology, economy, and society, using the Gray Relational Analysis model. Finally, the designed energy storage system is evaluated comprehensively. Experimental results demonstrate that the IoT-based hierarchical energy storage system can alleviate the peak overload of the new energy distributed power generation system. The experiment verifies the effectiveness of the proposed model for new energy storage systems. The comprehensive evaluation result of the lithium battery energy storage system is the highest, with a correlation value of 0.89. Hence, the lithium battery energy storage system has a wider application prospect. The research results can contribute to establishing a distributed new energy storage system based on IoT technology.



中文翻译:

基于物联网的储能系统创新设计与评价分析

为解决偏远地区新能源电力建设中的储能问题,提出了基于物联网(IoT)的信息化电网系统和分级储能系统。该系统应用物联网构建分布式新能源电网系统,优化电能传输。利用信息模型建立分层储能系统,结合分布式储能和集中式储能的优点,进一步提高输电网安全性。采用灰色关联分析模型,从技术、经济、社会三个方面建立了储能系统评价指标体系。最后,对设计的储能系统进行综合评估。实验结果表明,基于物联网的分层储能系统可以缓解新能源分布式发电系统的峰值过载。实验验证了所提出的新能源存储系统模型的有效性。锂电池储能系统综合评价结果最高,相关值为0.89。因此,锂电池储能系统具有更广阔的应用前景。研究成果有助于建立基于物联网技术的分布式新储能系统。锂电池储能系统综合评价结果最高,相关值为0.89。因此,锂电池储能系统具有更广阔的应用前景。研究成果有助于建立基于物联网技术的分布式新储能系统。锂电池储能系统综合评价结果最高,相关值为0.89。因此,锂电池储能系统具有更广阔的应用前景。研究成果有助于建立基于物联网技术的分布式新储能系统。

更新日期:2021-06-15
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