A Distributed Electric Heating Load Modeling System and Its Modeling Method Based on Measured Parameter Identification

Abstract

The present invention is a distributed electric heating load modeling system based on actual measurement parameter identification and its modeling method, which is characterized in that: by constructing an electric heating load modeling system, time-series data of the operating state of the electric heating system in the past period of time are obtained , based on the measured time series data and historical data, through the cloud computing system, the initial parameters of the simplified second-order model of electric heating load are fitted, and the initial parameters are further corrected according to the parameters of the historical temperature database to obtain the simplified second-order model of electric heating load. The basic principle of electric heating load modeling using measured parameters to identify second-order differential equations is determined, and a modeling method and system architecture that can be realized by a computer are proposed. The invention can provide an accurate model about electric heating load, obtain simulation results close to reality, and improve the accuracy of the electric heating load model.

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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