Grid-Side Energy Storage Configuration System Based on Adaptive Particle Swarm Algorithm

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture Pub Date : 2021-10-23 DOI:10.1145/3495018.3495527

Yu Li, Yiqian Sun, Changsheng Su, Heng Wang, Xiaolong Guo, Guixing Yang, Zheng Hua

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Abstract

The demand for electricity continues to grow, so higher requirements are placed on the construction of the power grid. At present, energy storage(ES) technology is mainly used in power generation systems and power distribution equipment. In order to meet the power supply requirements and ensure the power quality and safety, stable supply and other conditions, the transmission and distribution links must be optimized to ensure the balance of supply and demand. Therefore, based on this purpose, this paper studies the grid-side ES configuration system from the adaptive particle swarm algorithm(APWA). This paper mainly uses the experimental analysis method and data collection method to carry out the corresponding research on the adaptive particle swarm and grid ES configuration system. The experimental results show that the network loss cost is controlled at about 10,000 yuan in the APWA. Its loss is lower than other algorithms. Therefore, the APWA can be used for calculation and research in ES control.

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基于自适应粒子群算法的电网侧储能配置系统

电力需求持续增长，对电网建设提出了更高的要求。目前，储能技术主要应用于发电系统和配电设备。为了满足供电要求，保证电能质量安全、供电稳定等条件，必须对输配电环节进行优化，保证供需平衡。因此，基于此目的，本文从自适应粒子群算法(APWA)出发，对电网侧ES配置系统进行了研究。本文主要采用实验分析方法和数据收集方法对自适应粒子群和网格ES配置系统进行相应的研究。实验结果表明，在APWA中，网络损失成本控制在10000元左右。它的损耗比其他算法低。因此，APWA可用于ES控制的计算和研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture

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