Multi-system joint optimization dispatching method and device

A joint optimization and multi-system technology, applied in general control systems, control/regulation systems, instruments, etc., can solve problems such as energy waste, single energy medium subsystem, and ignore different energy coupling relationships, so as to reduce energy consumption and energy consumption. cost, improving business economics, and improving accuracy and representativeness

Active Publication Date: 2017-05-31
INST OF PROCESS ENG CHINESE ACAD OF SCI
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Problems solved by technology

Since these three energy media not only have various forms such as production and consumption, storage, buffering, and transmission and distribution, but also have complex conversion and substitution relationships among each other, this makes energy optimal scheduling a very complicated project. It is difficult to ensure the economical operation of the entire system by only relying on the experience of on-site production personnel to plan configuration and adjust operation, resulting in a large amount of waste of energy
[0004] At present, most of the research on the

Method used

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  • Multi-system joint optimization dispatching method and device
  • Multi-system joint optimization dispatching method and device

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no. 1 example

[0031] This embodiment provides a technical solution of a multi-system joint optimal scheduling method.

[0032] see figure 2 , the multi-system joint optimal scheduling method includes:

[0033] S21. Obtain data related to the gas-steam-electricity system of the iron and steel enterprise, including the network topology of the energy system and the characteristic parameters of each energy conversion device in the system. The characteristic parameters of each energy conversion equipment include parameters such as the maximum load value, the minimum load value, the maximum load increase speed, the maximum load decrease speed, the normal operating range of the equipment, the upper limit of the gas blending ratio, the lower limit of the mixed gas calorific value, and the initial operation of the equipment. state.

[0034] S22, determining the performance model of each energy conversion equipment in the gas-steam-electricity system of the iron and steel enterprise.

[0035] S23...

no. 2 example

[0102]Based on the foregoing embodiments of the present invention, this embodiment further provides a technical solution for determining a performance model in a multi-system joint optimal scheduling method. In this technical solution, determining the performance model of each energy conversion equipment in the gas-steam-electricity system includes: obtaining the initial data required to establish the performance model of the energy conversion equipment from the database server of the discrete information system; Preprocess the initial data, and draw the operating characteristic curve of the energy conversion equipment in combination with the equipment design working condition diagram and thermal test data; according to the characteristics of the drawn characteristic curve, adopt data-based multi-parameter nonlinear fitting processing technology, constructing the performance model of the energy conversion equipment.

[0103] see image 3 , determining the performance model of...

no. 3 example

[0122] Based on the above-mentioned embodiments of the present invention, this embodiment further provides a technical solution for model solving in a multi-system joint optimal scheduling method. In this technical solution, the joint optimization scheduling model is solved by using the chaotic particle swarm algorithm, so as to obtain the optimization scheme of gas distribution, steam and electric power production and outsourced power transmission of the entire gas-steam-electricity system, including: setting Particle swarm size, number of iterations, control parameters and optimized variable range; initialize particle swarm; construct fitness function; calculate the fitness value of each particle in the current swarm, and determine the individual extremum of each particle and the global extremum of the entire particle swarm; Update the control parameters, wherein the control parameters include inertia weight and acceleration factor; update the velocity and position of each pa...

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Abstract

The invention discloses a multi-system joint optimization dispatching method and device. The method comprises the steps of obtaining related data of a gas-steam-power system of an iron and steel enterprise; determining performance models of various energy conversion devices in the gas-steam-power system; determining a sub-medium energy pipe network model; setting the number of time frames included in the whole optimization dispatching cycle to obtain input data; building a joint optimization dispatching model of the gas-steam-power system; solving the joint optimization dispatching model by adopting a chaos particle swarm algorithm to obtain optimization schemes of gas distribution, steam and power production and purchased power transmission of the whole gas-steam-power system; and generating final optimization schemes of gas distribution of various energy conversion devices, steam and power load distribution, energy distribution of various production users and purchased power transmission and an optimal comprehensive target function index. According to the multi-system joint optimization dispatching method and device, joint optimization of a multi-energy medium is achieved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of energy optimization scheduling, and in particular to a multi-system joint optimal scheduling method and device. Background technique [0002] As one of the important basic raw material industries in the construction of the national economy, the iron and steel industry is a large energy consumer, accounting for about 15% of the total energy consumption in the country. High energy consumption not only leads to an increase in the cost of steel products, but also means more pollution and emissions. The purpose of energy system optimization and regulation is to make reasonable adjustments to energy conversion and transmission and distribution links according to the conditions of energy use and recovery links in the production process, to ensure the balance between energy supply and demand in the production process, and to minimize secondary energy emissions and energy outsourcing, so ...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 肖炘曾玉娇曹宏斌
Owner INST OF PROCESS ENG CHINESE ACAD OF SCI
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