A Short-Term Dynamic Forecasting System of Power Load in Iron and Steel Enterprises

Abstract

The invention relates to a short-term dynamic forecasting system for electric power load of iron and steel enterprises, which belongs to the technical field of energy forecasting of iron and steel enterprises. In terms of hardware, it includes application servers, relational database servers, client PCs, and network devices connected to each computer, including switches, network cables, firewalls, and routers. The application server and relational database server are connected to the switch through the network cable, the external client PC is connected to the router, and the router is connected to the switch through the firewall to realize the communication between the client and the server. The software system includes a heterogeneous data platform and a load forecasting system. Among them, the load forecasting system consists of a load analysis module, a forecast configuration module, and a load forecasting module. The advantage is that it comprehensively considers the power consumption characteristics, process characteristics, production plan, maintenance plan and production working condition information of each power consumption link, establishes models by category, and obtains the total load forecast value by superimposing the forecast results, which is more in line with the actual situation of the steel plant. In the dynamic prediction process, the information, process rhythm and dynamic working condition information are fully considered, and the model has better adaptability.

Description

technical field [0001] The invention belongs to the technical field of energy forecasting for iron and steel enterprises, and in particular provides a short-term dynamic forecasting system for electric power loads of iron and steel enterprises, which can perform short-term daily load forecasting and real-time ultra-short-term dynamic forecasting for the load demand of iron and steel enterprises, and is the basis for the self-generation plan of iron and steel enterprises. Formulate, provide support for real-time dynamic scheduling and self-generation control. Background technique [0002] The function of the power system is to provide various users with reliable and standard electric energy as economically as possible, and the most basic and most important thing is to meet the load requirements of users. Since the production, transmission, distribution and consumption of electric energy are completed at the same time, it is difficult to store in large quantities, so predictin...

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Problems solved by technology

Mechanism analysis is more complicated, especially for large iron and steel enterprises, there are many fluctuation factors affecting the load, it is difficult to establish a direct and effective process mechanism model

The above-mentioned power forecasting methods focus on the data side, use data analysis and intelligent models to make short-term load forecasts, and do not consider real-time changes in the process in the actual process, making the usability of the forecast results poor. In addition, the entire forecast implementation process is operable Not strong, no corresponding prediction system has been formed, resulting in poor reusability and adaptability of the system

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