Intelligent management system for energy demand

Abstract

The invention relates to an intelligent management system for energy demand. The intelligent management system comprises a real-time demand prediction module, a long-time demand prediction module, a production process abnormity monitoring module, an over-limit attribution analysis module, an energy board module, a parameter configuration module and the like. According to the invention, comprehensive intelligent management and control of the energy demand are realized through beforehand prevention, in-event suggestion, post-event analysis and centralized configuration display; intelligent prediction and intelligent monitoring of the power generation operation state of the blast furnace are realized through an intelligent algorithm; operation experience is systematized, prediction is more accurate, and measures are better; quantitative tracking can be carried out when encountering problems, demand management is comprehensively and systematically realized, and fine management is realized.

Description

technical field [0001] The application relates to an intelligent management system of energy demand, which is applicable to the technical field of energy optimization utilization. Background technique [0002] For large electricity consumers such as iron and steel enterprises, good energy demand management can save the company's costs and reduce grid fluctuations caused by sharp changes in electricity consumption. Usually, in order to make full use of secondary energy sources such as blast furnace gas, converter gas, coke oven gas, steelmaking waste heat, sintering waste heat, electric furnace waste heat, etc., enterprises also have power generation equipment such as boiler power generation, waste heat power generation or TRT. The power topology of an enterprise is usually provided by the power grid with 110KV or 220KV high-voltage power to the main transformer of the enterprise. Each main transformer is connected downstream with multiple main transformers to reduce the high...

AI Technical Summary

Problems solved by technology

The existence of power generation equipment also increases the complexity of energy demand control

Energy demand management is managed and controlled according to the traditional method, and there are pain points such as large fluctuations in energy demand, complex power system and topological structure of the whole plant, difficult regulation, high dependence on experience, and difficulty in early detection

[0004] In view of this problem, the existing technology only monitors or controls the energy demand of certain processes, workshops or equipment of the enterprise, and cannot systematically integrate real-time forecasting, long-term forecasting, attribution analysis, and equipment anomaly detection of energy demand. and other functions are effectively integrated to realize the systematic and intelligent management and control of the energy demand of the entire enterprise

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