Phase change heat storage type electric heating load control system control method based on LSTM algorithm

A technology of phase change heat storage and control method, which is applied in the direction of heating system, heating method, neural learning method, etc., can solve the problem of large-scale promotion of phase change heat storage type electric heating renovation project, which cannot be comprehensively and accurately analyzed Economic and social benefits of phase change heat storage electric heating

Pending Publication Date: 2022-03-11
CHANGJI POWER SUPPLY COMPANY STATE GRID XINJIANGELECTRIC POWER
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AI Technical Summary

Problems solved by technology

[0004] The above limitations make it impossible to comprehensively and accurately analyze the possible economic and social benefits brought by the application of phase change thermal storage electric heating, which seriously restricts the construction of phase change thermal storage electric heating renovation project and the development of subsequent large-scale promotion work. There is an urgent need to carry out relevant research work

Method used

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  • Phase change heat storage type electric heating load control system control method based on LSTM algorithm
  • Phase change heat storage type electric heating load control system control method based on LSTM algorithm
  • Phase change heat storage type electric heating load control system control method based on LSTM algorithm

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Embodiment 1

[0102] Embodiment 1: as attached figure 1 , 2 As shown, the LSTM algorithm-based control method for the negative control system of phase change thermal storage electric heating includes the following steps:

[0103] step 1:

[0104] Step 11, (1) The load power P of the i-th phase change thermal storage electric heating system i (t), load power extreme value P i,min ,P i,max , load change trend T l (t), load fluctuation information F l (t), arrange according to the matrix and carry out the M-order window moving smoothing process to weaken the influence of the cycle. At this time, the load data is recorded as

[0105] (2) Use the minmaxscaler module in the python software to convert the load data to the time data set so that it is in the interval {-1, 1}, and the converted data set is denoted as X i ={x i,1 , x i,2 ,...,x i,k , x i,n}, the output is load change trend prediction information;

[0106] (3) The data set X is divided by sliding window i Refactoring: If...

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Abstract

The invention relates to the technical field of source load coordinated scheduling methods, in particular to a phase change heat storage type electric heating load control system control method based on an LSTM algorithm, which comprises the following steps: analyzing data required by phase change heat storage type electric heating modeling on the basis of the LSTM algorithm, and performing phase change heat storage type electric heating network access prediction processing according to the analysis data to obtain prediction data; the response characteristic and the multi-stage temperature constraint of the phase change heat storage type electric heating in the energy using process are considered; and a double-layer optimization control strategy of the phase change heat storage type electric heating load control system is designed, and an electricity utilization control strategy of the phase change heat storage type electric heating system is obtained. According to the method, the operation pressure of a power grid can be reduced, the consumption of renewable energy sources can be improved, the optimization coordination capability of electric power resources can be improved, the energy loss can be minimized, energy conservation and emission reduction can be promoted, and the win-win situation of user cost minimization and power grid income maximization can be realized; and the influence of power supply and demand contradiction can be effectively reduced.

Description

technical field [0001] The invention relates to the technical field of source-load coordination scheduling methods, and relates to a control method for a phase-change thermal storage electric heating negative control system based on an LSTM algorithm. Background technique [0002] Promoting the energy consumption revolution and strengthening energy conservation and consumption reduction are the focus of attention from the central government to the local governments, and it is also the only way to solve the problems of high energy consumption and high pollution caused by the extensive use of energy in our country. As a safe, clean and comfortable heating method, electric heating has been recognized by governments at all levels in my country as beneficial to environmental improvement, and has a significant effect on controlling urban air pollution and improving the quality of life of residents. For this reason, the State Council’s Notice on Printing and Distributing the Air Po...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/04G06N3/08F24D19/10
CPCG06F30/27G06N3/08F24D19/1096G06N3/044
Inventor 马波高峰张海丽韩宏刚黎彦林谷祖盛
Owner CHANGJI POWER SUPPLY COMPANY STATE GRID XINJIANGELECTRIC POWER
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