A decentralized electric heating load modeling system based on a parameter library and a modeling method thereof

Abstract

The invention relates to a decentralized electric heating load modeling system based on a parameter library and a modeling method thereof. By constructing the electric heating load modeling system, The time series data of the electric heating system in the past period of time are obtained. Based on the measured time series data and the historical data, the initial parameters of the simplified second-order model of electric heating load are fitted by cloud computing system, and then the initial parameters are modified according to the parameters of the historical temperature database to obtainthe simplified second-order model of electric heating load. The basic principle of electric heating load modeling for identifying second order differential equation with measured parameters is determined, and a computer-realizable modeling method and system architecture are proposed. The invention can provide an accurate electric heating load model, obtain a simulation result close to reality, andimprove 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 a parameter library. 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 system. [0003] The cons...

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 model also lacks the identification and analysis of the historical data of the electric heating system, and the model parameters lack accuracy

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