Distributed electric heating load modeling system based on measured parameter identification and modeling method thereof

Abstract

The invention relates to a distributed electric heating load modeling system based on measured parameter identification and a modeling method thereof. The modeling method is characterized in that, theelectric heating system operation state time sequence data in the past period of time is acquired by constructing an electric heating load modeling system, and the initial parameters of the second-order model are simplified through the cloud computing system and the fitting electric heating load on the basis of actually measured time sequence data and historical data; the initial parameters are further corrected according to historical temperature database parameters; an electric heating load simplified second-order model is obtained. The electric heating load modeling basic principle for identifying the second-order differential equation through actual measurement parameters is determined. Meanwhile, a modeling method and a system architecture which can be implemented by a computer are provided. The invention can provide an accurate model for electric heating load. In this way, an actual simulation result is obtained, and the accuracy of the electric heating load model is improved.

Description

technical field [0001] The invention belongs to electric heating, and relates to a distributed electric heating load modeling system and a modeling method based on actual measurement parameter identification. Background technique [0002] With the continuous advancement of clean heating, the proportion of electric heating in the grid in northern regions has increased year by year. Taking Changchun City as an example, in 2017, the cumulative installed capacity of electric heating was 290MW, and the heating area was 3.17 million square meters, accounting for 3.08% of the city's total heating, and showing a rapid development trend. Among them, distributed electric heating occupies an important proportion in the electric heating load. The electric heating load has thermal inertia, and its regulation resources can be gathered without affecting the user's comfort, which is of great value in improving the safe and economical operation of a high-proportion renewable energy power sy...

AI Technical Summary

Problems solved by technology

However, in practical engineering applications, the electric heating load model directly uses the first-order equivalent thermodynamic model of air-conditioning load, and the air-conditioning load is concentrated in the southern region to meet the cooling demand in summer. There is a huge difference between the operating characteristics and the electric heating load in the northern region. The simple first-order model is difficult to accurately reflect the operating characteristics of the electric heating load. The error of the model is very large, and the accuracy is difficult to meet the needs of the electric heating load in actual engineering.

At the same time, the existing models also lack the identification and analysis of the historical data of the electric heating system, and the model parameters lack accuracy, see figure 1

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