Study on Load Monitoring and Demand Side Management Strategy of Chemical Enterprise
Yingjun Sang, Tingyu Sui, Kang Peng, Ding Zizhen, Zhao Xuan, Yuanyuan Fan · Automatic Control and Computer Sciences · 2021
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.