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Comprehensive energy planning equipment combination generation method and system based on analytic hierarchy process

A technology of comprehensive energy system and analytic hierarchy process, applied in resources, instruments, data processing applications, etc., can solve problems such as complex situations

Pending Publication Date: 2022-03-01
XUJI GRP +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This kind of equipment selection method is simple and direct, but the results obtained ignore the influence of other parameters, which is often not ideal
[0004] The situation is more complicated when it comes to equipment combinations that need to be considered for multi-objective optimization

Method used

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  • Comprehensive energy planning equipment combination generation method and system based on analytic hierarchy process
  • Comprehensive energy planning equipment combination generation method and system based on analytic hierarchy process
  • Comprehensive energy planning equipment combination generation method and system based on analytic hierarchy process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0158] Construct matrix A

[0159]

[0160] The weight coefficient of A: ω=(0.2880 0.5318 0.0678 0.1124) T

[0161] Eigenvalue: λ=4.0004125

[0162] Consistency check: Pass verification.

[0163]

[0164] Weight coefficient of B1: ω1=(0.595 0.277 0.129) T

[0165] Eigenvalue: λ1=3.005

[0166] Consistency check: CI1=0.0025. Pass verification.

[0167]

[0168] Weight coefficient of B2: ω2=(0.082 0.236 0.682) T

[0169] Eigenvalue: λ2=3.002

[0170] Consistency check: CI2=0.001. Pass verification.

[0171]

[0172] Weight coefficient of B3: ω3=(0.429 0.429 0.142) T

[0173] Eigenvalue: λ3=3

[0174] Consistency check: CI3=0. Pass verification.

[0175]

[0176] Weight coefficient of B4: ω4=(0.595 0.277 0.129) T

[0177] Eigenvalue: λ4=3.009

[0178] Consistency check: CI4=0.005. Pass verification.

[0179] Compute total sort

[0180] The weight of B1 to the overall goal is:

[0181] 0.595×0.2880+0.082×0.5318+0.429×0.0678+0.595×0.1124=0.31...

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Abstract

The invention relates to a comprehensive energy planning equipment combination generation method and system based on an analytic hierarchy process. The design load of the system is determined; obtaining selectable devices, and forming a plurality of groups of device combinations meeting the design load; determining a model selection factor; according to the importance degree of the model selection factors, constructing a judgment matrix A of the model selection factors; constructing a judgment matrix Bk of each type selection factor for each equipment combination according to the importance degree of each equipment combination for the type selection factor; consistency verification is carried out on the judgment matrix A and the judgment matrix Bk respectively, if the consistency verification is passed, corresponding weight vectors are calculated, and otherwise, the judgment matrixes which do not pass the consistency verification are modified; and calculating the total target weight of each equipment combination, and selecting the equipment combination with the maximum total target weight. According to the method, the analytic hierarchy process is utilized, under the condition that constraint conditions are met, influences of various factors are considered, and the optimal equipment combination can be selected from the alternative equipment.

Description

technical field [0001] The invention relates to the technical field of comprehensive energy planning, in particular to a method and system for generating a combination of comprehensive energy planning equipment based on the analytic hierarchy process. Background technique [0002] Comprehensive energy planning equipment is mainly used for energy supply scheme design in various energy consumption scenarios such as hospitals, schools, commercial areas, parks, etc., and can support project feasibility analysis and preliminary planning and design. The main functions of the system include project management, resource analysis, load analysis, equipment selection, economic analysis, operation simulation, etc. Among them, the equipment selection module selects a group of power generation, cooling, and heating equipment through a multi-objective optimization algorithm, which not only meets the rigid constraints of the design load, but also meets the individual needs of users to the g...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06G06Q10/06
CPCG06Q50/06G06Q10/063G06Q10/06393
Inventor 陈玉玺王坤王小凯张翥甄立敬徐军
Owner XUJI GRP
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