System for dynamically predicating power load of iron and steel enterprise in short period

Abstract

The invention provides a system for dynamically predicating the power load of an iron and steel enterprise in a short period and belongs to the technical field of energy predication of iron and steel enterprises. According to hardware, the system comprises an application server, a relational data base server, a client side PC and a network device connecting all computers. The network device comprises a switch, network cables, a firewall and a router device. The application server and the relational data base server are connected to the switch through the network cables. The external client side PC is connected to a router. The router is connected with the switch through the firewall, so that communication between a client side and a server side is achieved. A software system comprises a heterogeneous data platform and a load predicating system. The load predicating system is composed of a load analyzing module, a predication configuration module and a load predicating module. The system for dynamically predicating the power load of the iron and steel enterprise in the short period has the advantages that the power utilization characteristics of each power utilization link, the technological feature, a production plan, a repair schedule and production working condition information are comprehensively considered, classified modeling is conducted, a predication value of the total load is obtained according to superposition of predication results, the predication value is in line with the reality of the iron and steel enterprise, information, technological rhythms and dynamic working condition information are fully considered in the process of dynamic predication, and models are better in 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...

AI Technical Summary

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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