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Energy system optimization scheduling method based on multi-working-condition equipment operation

A technology for energy systems and working conditions, applied in the energy industry, general control systems, control/regulation systems, etc.

Active Publication Date: 2018-09-04
NORTHEASTERN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides an energy system optimization scheduling method based on multi-working conditions of equipment. The above method overcomes the traditional research on the adjustment method of a single energy medium and comprehensively considers the relationship between multiple energy sources and the production of enterprises. Multiple working conditions

Method used

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  • Energy system optimization scheduling method based on multi-working-condition equipment operation
  • Energy system optimization scheduling method based on multi-working-condition equipment operation
  • Energy system optimization scheduling method based on multi-working-condition equipment operation

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Embodiment 1

[0076] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0077] Such as figure 1 The flow chart of the iron and steel enterprise gas, steam, electric power system optimization scheduling method provided by the present invention, the method includes the following steps:

[0078] S1. Obtain the enterprise energy topological network structure, historical data of energy production and consumption of the gas steam power system and its corresponding production condition records; determine production capacity equipment, energy consumption equipment and dispatchable equipment; obtain key information and dispatch parameters of dispatchable equipment ; Obtain the production plan and maintenance plan within the scheduling cycle;

[0079] S11. Obtain the energy topological network structure of the enterprise, the historical data of energy production and consumption of the gas steam power system and its corresponding...

Embodiment 2

[0136] Such as Figure 4 Shown is the iron and steel enterprise gas, steam, electric power system optimization flowchart of the present invention, when performing optimization calculation, first use Python software programming to obtain the working condition identification and prediction information obtained in step S3, the supply and demand of energy media such as gas, steam and electric power Prediction results and unbalanced quantity prediction results; then program the objective function and constraint conditions in Python software; finally use Python software programming to call the solver CONOPT to solve, and obtain the energy medium distribution scheme with the lowest economic operation cost, and the corresponding scheduling The plan is displayed in the form of a chart, and the comparison and analysis of the results before and after optimization are performed, and the scheduling plan is saved to the database. The specific steps are as follows:

[0137] S61. Using Python...

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Abstract

The invention discloses an energy system optimization scheduling method based on multi-working-condition equipment operation. The method comprises the following steps of acquiring an iron and steel enterprise energy system network topology structure, schedulable key equipment information, the historical data of energy production consumption and a corresponding production condition; according to the historical data of the energy production consumption and the corresponding condition, constructing a data set and training a BP neuron network; identifying a current production condition and combining a future period production and a maintenance plan to obtain energy supply and demand data and a unbalanced energy amount of an energy system in a future scheduling period; pre-establishing an equipment unit mathematical model; combining a current condition constraint condition and an unit mathematical model, and using a mixed integer nonlinear programming method to establish an economic operating cost EOC function; and solving an optimal solution and acquiring a distribution scheme. By using the method, aiming at real-time production data, an optimization scheduling scheme is acquired, a single energy medium adjusting defect is overcome, and the energy efficiency and the benefits of a system are comprehensively increased.

Description

technical field [0001] The invention belongs to the field of energy dynamic balance and optimal scheduling in iron and steel enterprises, and in particular relates to an energy system optimal scheduling method based on equipment multi-working condition operation. Background technique [0002] The iron and steel industry is a pillar industry of the national economy, a resource- and energy-intensive industry, and the focus of energy system optimization. Iron and steel enterprises produce a large amount of secondary energy such as gas, steam, and electricity in the process of iron and steel production, accounting for more than half of the total energy consumption of the enterprise. The energy system of iron and steel enterprises collects and predicts the input and output data of various energy sources and energy carriers in the production process of the enterprise, and adopts a centralized management method to optimize the ratio of different energy sources and energy carriers a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418
CPCG05B19/41885G05B2219/32339Y02P80/10Y02P90/02Y02P90/80
Inventor 张琦赵涛马家琳
Owner NORTHEASTERN UNIV
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