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Study on Load Monitoring and Demand Side Management Strategy of Chemical Enterprise

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Abstract—

In order to meet the needs of modern enterprise management mode, this paper designed a set of chemical enterprise load monitoring system including computer technology, network communication technology, and information collection technology. The GPRS communication technology is applied to the energy consumption and cloud server platform monitoring system to collect the scene data of the enterprise energy consumption. The system realizes electricity information collection, transmission, monitoring, and prediction of the enterprise, and help to accurately grasp the working condition of each equipment, from the terminal to open to the user’s demand side management through the LabVIEW software. According to the monitoring system, the system can record the energy-using data of enterprises by the means of time sharing and item by item, and carry out energy consumption analysis and load prediction according to the first-hand information provided by load monitoring. An Elman neural network is used to predict the change and distribution of electricity in the future production cycle of enterprises. Based on the current situation of energy consumption and the predicted energy consumption trend, this paper analyzes the energy saving effect of energy efficiency management and “avoiding peak and filling valley” measures, and puts forward reasonable control requirements and assumed conditions in order to improve the maneuverability of energy saving measures for demand side management.

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Funding

This work was supported in part by the National Nature Science Foundation of China (project nos. 51505173 and 51709121), Six Talent Peaks Project of Jiangsu Province (project no. 2016-XNYQC-001), and Jiangsu Provincial Department of housing and construction project (project no. 2019ZD060).

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Authors and Affiliations

  1. Faculty of Automation, Huaiyin Institute of Technology, 223003, Huaian, China

    Sang Yingjun, Sui Tingyu, Peng Kang, Ding Zizhen & Zhao Xuan

  2. Faculty of Mathematics and Physics, Huaiyin Institute of Technology, 223003, Huaian, China

    Fan Yuanyuan

Authors
  1. Sang Yingjun
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  2. Sui Tingyu
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  3. Peng Kang
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  4. Ding Zizhen
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  5. Zhao Xuan
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  6. Fan Yuanyuan
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Correspondence to Fan Yuanyuan.

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The authors declare that they have no conflicts of interest.

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Sang Yingjun, Tingyu, S., Kang, P. et al. Study on Load Monitoring and Demand Side Management Strategy of Chemical Enterprise. Aut. Control Comp. Sci. 55, 534–545 (2021). https://doi.org/10.3103/S0146411621060080

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  • DOI: https://doi.org/10.3103/S0146411621060080

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