Multi-system joint optimization dispatching method and device

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 ...

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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 optimal scheduling of energy systems in iron and steel enterprises is still concentrated on the single energy medium subsystem level, such as gas system, steam system, oxygen system, etc., and has not been widely carried out. Analyze as a whole, ignoring the coupling relationship between different energy sources. This kind of energy medium is only considered to obtain a local optimization plan, and cannot guarantee the overall optimal balance effect. Obviously, it is no longer possible to support enterprises to achieve energy consumption. Minimum cost requirements

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