基于大数据的电力环保平台开发与智能化应用研究

Q2 Engineering Energy Harvesting and Systems Pub Date : 2023-05-18 DOI:10.1515/ehs-2023-0012
D. Shao, Li Shi, Zhihua He, Runzhou Guo
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引用次数: 1

摘要

摘要为了提高电力环保平台的实用效果,本文结合大数据技术对电力环保平台进行了开发设计。本文采用功率因数校正(PFC)和谐振半桥联合控制器,将传统的两电平拓扑结合为一电平拓扑。此外,本文采用固定频率半桥LLC谐振变换器和简单的控制电路,得到了输出电压固定的稳定谐振半桥控制器。选择这种整体电源拓扑架构,不仅可以满足设计要求,节省成本,简化电路的控制,还可以提高整机的效率和电源环保平台的性能。实验研究表明,本文提出的基于大数据的电力环保平台能够有效提高电力环保战略的有效性。
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Research on the development and intelligent application of power environmental protection platform based on big data
Abstract In order to improve the practical effect of the power environmental protection platform, this paper combines the big data technology to develop and design the power environmental protection platform. In this paper, a power factor correction (PFC) and resonant half-bridge joint controller is used to combine the traditional two-level topology into one-level topology. Moreover, this paper adopts a fixed frequency half-bridge LLC resonant converter with a simple control circuit to obtain a stable resonant half-bridge controller with a fixed output voltage. The choice of this overall power topology architecture can not only meet the design requirements, save costs and simplify the control of the circuit, but also improve the efficiency of the whole machine and the performance of the power environmental protection platform. The experimental research shows that the power environmental protection platform based on big data proposed in this paper can effectively improve the effectiveness of power environmental protection strategies.
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来源期刊
Energy Harvesting and Systems
Energy Harvesting and Systems Energy-Energy Engineering and Power Technology
CiteScore
2.00
自引率
0.00%
发文量
31
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