Electric load predication optimization method for N-section intervals of combined heat and power generation set

A technology for cogeneration units and electrical loads, which is used in forecasting, instrumentation, data processing applications, etc., and can solve problems such as large errors

Active Publication Date: 2014-04-23
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0004] Chinese Invention Patent (Application No.: 201210520548X, Patent Name: A Centralized Heating Whole Network Heat Balance Control Method) Although the patent mentions that "Using the least square method to fit a regression curve of outdoor temperature and heating heat index that can be self-corrected online ”, however, due to the least squares met...

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  • Electric load predication optimization method for N-section intervals of combined heat and power generation set

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0038] Such as figure 1As shown, the optimization method of electric load forecasting in N-segment intervals based on weather forecast and historical heating data includes the following steps:

[0039] Step (1): Read the historical data t of the outdoor temperature of the heating system of the combined heat and power unit for each hour within the set time period wi and building heating load historical data Q i ;

[0040] Read the historical data of each hour from 8:00 to 14:00 in three days

[0041] t w1 =[t w11 , t w12 ,...t w16 ]

[0042] t w2 =[t w21 , t w22 ,...t w26 ]

[0043] t w3 =[t w31 , t w32 ,...t w36 ]

[0044] Q 1 =[Q 11 ,Q 12 ,...Q 16 ]

[0045] Q 2 =[Q 21 ,Q 22 ,...Q 26 ]

[0046] Q 3 =[Q 31 ,Q 32 ,...Q 36 ]

[0047] In the formula: t w21 The meaning of the subscript: w means outdoor, 2 means the second d...

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Abstract

The invention discloses an electric load predication optimization method for N-section intervals of a combined heat and power generation set. The method comprises the following steps: reading heating historical data of the combined heat and power generation set in each hour in N time intervals when approximate linear change of the outdoor temperature occurs in 24 hours of the past day, fitting N linear regression curves of the outdoor temperature and the thermal load of a building through a least square method according to the historical data, substituting the outdoor temperature in a predicate day into the linear regression curves, estimating the thermal load of predicate day, establishing a digital model of a set heating condition diagram through the historical data of the combined heat and power generation set and the least square method, substituting the thermal load of predicate day into the digital model, and calculating the minimum generated power and the maximum generated power of set at certain thermal load according to boundary conditions of the digital model, so as to fix a generation load interval of the set at certain thermal load. The method can be used for accurately predicating thermal load and electric load intervals of a heating system of the combined heat and power generation set in the next 24 hours.

Description

technical field [0001] The invention relates to a method for forecasting and optimizing electric loads in N sections of a cogeneration unit. Background technique [0002] In recent years, the rapid development of combined heat and power units has put forward higher requirements for the operation and management of power generation dispatching and heating systems. When the extraction condensing heating unit is supplying heat, the low-pressure cylinder needs to have the minimum safe steam intake to protect the turbine blades from "cavitation". [0003] Considering that the extraction condensing heating unit satisfies a certain external heating load condition, the electric load range that can ensure the safe and stable operation of the heating unit is determined by the unit heating diagram. For the single pumping condensing heating unit , the heating condition diagram is a three-dimensional graphic; for the double-extraction condensing heating unit, the heating condition diagra...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCY02E40/70Y04S10/50
Inventor 王昭鑫孙玮李慧聪曾洁丁俊齐刘勇田大伟
Owner STATE GRID CORP OF CHINA
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