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Real-time optimal operation method and system for heating system loads, unit models and units

A technology for optimizing scheduling and heating systems, applied in general control systems, control/regulation systems, instruments, etc., can solve the problems of not considering the economy of operation scheduling, environmental protection, waste of operating costs, etc.

Active Publication Date: 2019-07-12
CHANGZHOU ENGIPOWER TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The manual scheduling method is simple and easy to operate, but it only considers the constraints, and does not consider the economical and environmental protection of the operation scheduling. First, it will bring waste of operating costs. In the process of multi-heat source collaborative operation scheduling, it will gradually exceed the ability of human experience decision-making

Method used

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  • Real-time optimal operation method and system for heating system loads, unit models and units
  • Real-time optimal operation method and system for heating system loads, unit models and units
  • Real-time optimal operation method and system for heating system loads, unit models and units

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Experimental program
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Embodiment 1

[0102] figure 1 It is a functional block diagram of the load real-time optimal scheduling method for a multi-heat source heating system involved in the present invention.

[0103] Such as figure 1As shown, this embodiment provides a method for real-time optimal scheduling of multi-heat source heating system load, including: step S100, constructing unit models of each heat source unit; step S200, establishing an optimized objective function; step S300, through the unit model and The optimized objective function obtains an optimal scheduling strategy for the load of the heat source unit; and step S400 , based on the optimal scheduling strategy, real-time optimization of the load distribution of the heat source unit is performed to optimize the load distribution of the heat source unit in real time.

[0104] figure 2 It is a flow chart of the load real-time optimal scheduling method for a multi-heat source heating system involved in the present invention.

[0105] Such as f...

Embodiment 2

[0178] On the basis of embodiment 1, this embodiment 2 also provides a kind of unit model, and described unit model is:

[0179] Among them, E j , M j represent the energy consumption output parameters and emission output parameters calculated by the j unit model respectively; F j (E j , M j ) The machine learning model of the jth heat source unit, the output parameter is E j , M j , the input parameter is X; f j(X) is the calculation function of the output parameter X; z is the number of heat source units; δ'=(δ 1 ',δ 2 ',…δ i ',…,δ n ') is the machine learning model coefficient after training; X is the input parameter, X=(X 1 ,X 2 ,...,X i ,...,X n ), X i is the i-th input parameter of the heat source unit, n is the number of input parameters, i∈n.

Embodiment 3

[0181] On the basis of embodiment 1, this embodiment 3 further provides a unit, including: a unit model, and is adapted to obtain an optimal scheduling strategy of the unit according to the unit model.

[0182] In this embodiment, the unit adopts the unit model as described in Embodiment 1.

[0183] In this embodiment, the unit is suitable for real-time optimization of unit load distribution according to an optimal scheduling strategy.

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Abstract

The invention relates to the advanced controlling field of urban central heating systems, in particular to a real-time optimal operation method and system for heating system loads, unit models and units. The real-time optimal operation method for the multi-heating-source heating system loads includes the following steps that S100, the unit model of each heating resource unit is established; S200,an optimal objective function is structured; S300, optimal operation strategies of the heating resource unit loads are obtained through the unit models and the optimal objective function; and S400, based on the optimal operation strategies, real-time optimization is conducted on distribution of the heating resource unit loads, and thus distribution of the heating resource unit loads is optimized in real time.

Description

technical field [0001] The invention relates to the field of advanced control of urban central heating systems, in particular to a real-time optimal scheduling method for heating system loads, a unit model, a unit and a system. Background technique [0002] Heating in winter in northern cities and towns is one of the main factors affecting the climate and environment. Especially in recent years, the problem of "winter smog" has seriously affected people's lives. In order to solve the environmental problems caused by heating, my country is comprehensively promoting energy Production and consumption are transitioning to a clean, low-carbon, non-fossil way. Significant changes have taken place in terms of energy supply. In addition to the use of large and medium-sized cogeneration units and peak hot water boilers, the use of industrial waste heat, Household garbage, biomass energy, wind energy electric boilers, and solar energy units are used as heating sources; from the perspect...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 方大俊郝静麒姜业正李岚
Owner CHANGZHOU ENGIPOWER TECH
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