Energy balancing and scheduling method based on improved mixed multi-population evolutionary algorithm

An evolutionary algorithm and energy balance technology, which is applied in the energy industry, resources, computing, etc., can solve the problems of lack of comprehensive dynamic balance and optimal scheduling methods for multi-energy media, so as to improve the comprehensive utilization efficiency of energy, have clear guiding significance, and optimize The effect of distribution

Active Publication Date: 2015-01-07
WISDRI ENG & RES INC LTD
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Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide an energy balance and scheduling method based on an improved hybrid multi-population evolutionary algorithm to solve the problem that the prior art lacks a comprehensive dynamic balance and optimal scheduling method for iron and steel enterprises with multiple energy media

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  • Energy balancing and scheduling method based on improved mixed multi-population evolutionary algorithm
  • Energy balancing and scheduling method based on improved mixed multi-population evolutionary algorithm
  • Energy balancing and scheduling method based on improved mixed multi-population evolutionary algorithm

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Embodiment 1

[0039] Embodiment 1 provided by the present invention is a preferred embodiment of an energy balance and scheduling method based on an improved mixed multi-population evolutionary algorithm.

[0040] In the embodiment of the present invention, the process of obtaining the network topology structure of the iron and steel enterprise energy system in step 1 includes: inputting the types and quantities of various energy medium pipe networks, and the physical attributes of the energy medium pipe networks; the physical attributes of the energy medium pipe networks include : Medium form, upper / lower pressure limit, calorific value, etc. of the gas pipeline network, upper / lower pressure limit, upper / lower temperature limit, enthalpy value, etc. of the steam pipeline network, parameters such as the main transformer capacity, maximum load, and voltage level of the internal grid.

[0041] The process of obtaining unit equipment information in the gas, steam and electric subsystem in step ...

Embodiment 2

[0125] Embodiment 2 provided by the present invention is a specific application example of the energy balance and scheduling method based on the improved mixed multi-population evolutionary algorithm. In order to verify the effectiveness of the improved mixed multi-population evolutionary algorithm, three classic standards are selected. The test function evaluates the algorithm, where, f 1 is the Rosenbrock function, f 2 is the Colville function, f 3 are Benchmark functions, and they are all minimum problems. It should be noted that f 1 There is only one global minimum value 0, even so, its value changes slowly near the global minimum value, so it is an ill-conditioned function; and f 1 different f 2 There are infinitely many local extremum points, and it is a multimodal function, so it is difficult for the general algorithm to converge to the global optimum point 0; similarly, f 3 It also has multiple local extreme points. In addition, it is a high-dimensional function w...

Embodiment 3

[0134] The third embodiment provided by the present invention is another specific application embodiment of the energy balance and scheduling method based on the improved hybrid multi-population evolutionary algorithm, taking a large-scale full-process iron and steel complex as an example. image 3 It is the topological structure diagram of the gas subsystem of a typical iron and steel enterprise, Figure 4 It is a topology diagram of the steam and power subsystem of a typical iron and steel enterprise. Depend on image 3 It can be seen that the main by-product gases of iron and steel enterprises are blast furnace gas (BFG), coke oven gas (COG) and converter gas (LDG), which are produced by blast furnace, coke oven and converter respectively. The main network of various gas media is equipped with corresponding gas cabinets and release towers, and the main production process users, such as ironworks, steelworks and wide and heavy plate factories, are also connected to differen...

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Abstract

The invention belongs to the field of energy dynamic balancing and optimized scheduling for iron and steel enterprises, and provides an energy balancing and scheduling method based on an improved mixed multi-population evolutionary algorithm. The method comprises the steps that a network topological structure of an iron and steel enterprise energy system and unit equipment information in each coal gas, steam and electricity subsystem is acquired; supply and demand predicted data, production maintenance plans and other setting information of various energy media are acquired; an iron and steel enterprise energy dynamic balancing and optimized scheduling mathematical model is established, and the optimization variable of the optimized scheduling model is determined; the objective function and the constraint conditions of the optimized scheduling model are determined; the improved mixed multi-population evolutionary algorithm is called for solving; in the solving process, a penalty function method is used for processing the multiple constraint conditions in the mathematical model, the degree that an individual violates the constraint conditions is determined by the penalty function, and a new individual fitness value is constructed by adding penalty terms on the objective function. The technical scheme for dynamic balancing and optimized scheduling of multiple energy media is given from the aspects of integrated scheduling and global optimization, and the guiding significance to concrete practice is obvious.

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 balancing and scheduling method based on an improved mixed multi-population evolutionary algorithm. Background technique [0002] The iron and steel industry is the basic pillar industry of the national economy, and it is also a resource- and energy-intensive industry. Energy consumption is an important factor that determines the production cost and profit of the iron and steel industry, and it is also the main reason that affects the environmental load. On the one hand, iron and steel enterprises have a long production process with various procedures and equipment, and each process is connected with each other, and each process and equipment is associated with multiple energy media; on the other hand, iron and steel enterprises need to use more than 20 types of energy. These energy media not only ha...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
CPCY02P80/10G06Q10/06313G06Q50/04
Inventor 曾亮叶理德欧燕
Owner WISDRI ENG & RES INC LTD
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