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基于大数据技术的多能源系统能量控制研究 被引量:5

Research on energy control of multi energy system based on big data technology
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摘要 为抑制多能源系统能耗资源的过量提取、防止系统再生能量次序紊乱现象的发生,提出基于大数据技术的多能源系统能量控制策略。利用大数据分级激励函数,对多能源系统的分级状态进行评估,达到判断分级属性算子可靠性的目的,完成大数据技术支持下的多能源系统分级研究。在此基础上,从能量控制的频域分析和时域分析两个方面,完善多能源系统的能量控制拓扑结构,完成基于大数据技术多能源系统能量控制策略的搭建。在实际应用过程中引入Boost控制技术,通过对比实验的方式,证明应用基于大数据技术的多能源系统能量控制策略后,能耗资源始终保持良性提取状态,多能源系统再生能量次序也不再出现紊乱现象。 In order to restrain the excessive extraction of energy consumption resources and prevent the disorder of regenerative energy sequence in multi-energy system,a multi-energy system energy control strategy based on large data technology was proposed. The hierarchical state of multi-energy system is evaluated by using large data hierarchical excitation function to judge the reliability of hierarchical attributes operator,and the hierarchical research of multi-energy system supported by large data technology is completed. On this basis,the energy control topology of multi-energy system is improved from two aspects of frequency domain analysis and time domain analysis,and the energy control strategy of multi-energy system based on large data technology is built. The introduction of Boost control technology in the actual application process, through comparative experiments, proves that the application of multi-energy system energy control strategy based on large data technology,energy consumption and resources always maintain a benign state of extraction,multi-energy system renewable energy order is no longer disordered phenomenon.
作者 赵川 赵明 路学刚 叶华 陶思钰 ZHAO Chuan;ZHAO Ming;LU Xue-gang;YE Hua;TAO Si-yu(Yunnan Electric Power Dispatching and Control Center,Kunming 650011,China;School ofElectrical Engineeging,Southeast University,Nanjing 210096,China)
出处 《电子设计工程》 2019年第17期68-71,75,共5页 Electronic Design Engineering
关键词 大数据技术 多能源系统 能力控制 激励函数 控制频域 控制时域 large data technology multi-energy system capability control excitation function control frequency domain control time domain
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