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Standardized construction method of integrated energy system energy hub model

A technology of an integrated energy system and a construction method, which is applied in the field of standardized construction of an energy hub model of an integrated energy system, and can solve the problems of complex integrated energy system, difficult and huge modeling of energy hub coupling matrix, etc.

Inactive Publication Date: 2019-09-20
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, compared with the traditional power system, the integrated energy system is more complex and large
This has caused great difficulties in modeling the energy hub coupling matrix of the integrated energy system

Method used

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  • Standardized construction method of integrated energy system energy hub model
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  • Standardized construction method of integrated energy system energy hub model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0103] In order to verify the applicability and efficiency of the above-mentioned method of the present invention, modeling and optimal scheduling are carried out on the 24-hour demand load data of a small area in summer. Figure 7 Representing the multi-energy system of the district, the model includes transformers, combined heat and power (CHP), gas boilers, electric heaters, air conditioners and absorption coolers. Table 1 and Table 2 list the parameters of the energy converter, energy storage and demand response of the system. The model structure and summer load data are from a planning area in Guangzhou. This optimization case is calculated on GAMS with Intel Core I5 ​​3.20 GHz CPU and 16GB RAM. Using CPLEX under GAMS to solve the LP problem. Using SBB / CONOPT under GAMS to solve NLP problems. The maximum number of iterations is set to 1000. Using the method of the present invention, the Figure 7 The complex energy system shown is transformed into 10 simple energy sy...

Embodiment 2

[0105] In order to verify the applicability and efficiency of the proposed method, the 24-hour demand load data of a small area in summer is modeled and optimized for scheduling. Figure 9 Taking the multi-energy system of the community as an example, the model includes transformers, combined heat and power (CHP), gas boilers, electric heaters, air conditioners, absorption coolers, heat accumulators, and power storage devices. The model structure and summer load data are from a planning area in Guangzhou. Table 1 and Table 2 list the parameters of the energy converter, energy storage and demand response of the system. This optimization case is calculated on GAMS with Intel Core I5 ​​3.20GHz CPU and 16GB RAM. The LP problem is solved by using CPLEX under GAMS. Using SBB / CONOPT under GAMS to solve NLP problems. The maximum number of iterations is set to 1000. Using the patent of this invention, we can Figure 9 The complex energy system shown, transforms into 10 simple ener...

Embodiment 3

[0107] In order to verify the applicability and efficiency of the proposed method, the 24-hour demand load data of a small area in summer is modeled and optimized for scheduling. Figure 11 Taking the multi-energy system of the community as an example, the model includes transformers, combined heat and power (CHP), gas boilers, electric heaters, air conditioners, absorption chillers and demand response. Table 1 and Table 2 list the parameters of the energy converter, energy storage and demand response of the system. The load adopts a demand response strategy. The model structure and summer load data are from a planning area in Guangzhou. This optimization case is calculated on GAMS with Intel Core I5 ​​3.20GHz CPU and 16GB RAM. The LP problem is solved by using CPLEX under GAMS. Using SBB / CONOPT under GAMS to solve NLP problems. The maximum number of iterations is set to 1000. Using the patent of this invention, we can Figure 11 The complex energy system shown is transf...

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Abstract

The invention discloses a standardized construction method of an integrated energy system energy hub model. According to the method, a complex integrated energy system energy hub model is divided into simple integrated energy system energy hub models, coupling matrixes of the simple integrated energy system energy hub model are orderly multiplied, and finally a coupling matrix of the whole complex integrated energy system energy hub model is calculated. In the construction process of the coupling matrix, the energy circulation is taken into consideration by means of adding a limit equation to the integrated energy system energy hub model, and the mismatch of the coupling matrixes of the different simple integrated energy system energy hub models is avoided through adding virtual energy conversion equipment. Meanwhile, in the construction matrix modeling process, the concepts of energy storage equipment location and energy side demand response are extended, thereby enabling the energy storage and energy side demand response of an electric power system to be extended to the integrated energy system.

Description

technical field [0001] The invention belongs to the field of model construction and optimization of a comprehensive energy system, and relates to a standardized construction method of an energy hub model of a comprehensive energy system. Background technique [0002] The energy crisis caused by the decrease of traditional non-renewable energy and the damage to the environment caused by the use of traditional non-renewable energy are driving people to reconsider the existing energy production, consumption and storage models. In order to solve this energy dilemma, governments of various countries have increased research funding and policy support for the production, distribution and consumption of renewable energy, and reached a consensus on the energy Internet and the overall planning of multi-energy systems. However, compared with the traditional power system, the integrated energy system is more complex and large. This has caused great difficulties in modeling the energy h...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/28G06F17/11G06F17/16
CPCH02J3/00H02J3/28G06F17/11G06F17/16H02J3/003H02J2203/20
Inventor 张冬冬刘天晧张建松
Owner XI AN JIAOTONG UNIV
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