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Optimization method of multi-energy coupling energy supply network based on user side load reduction response

A technology of load reduction and optimization method, which is applied in the optimization field of multi-energy coupled energy supply network, can solve the problems of collaborative optimization of stay, distinguish energy flow of different grades by end users, stay, etc., to ensure economic benefits and solve the problem of optimization potential. limited effect

Active Publication Date: 2021-06-01
SOUTH CHINA UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, domestic and foreign research on modeling and optimization strategies for multi-energy flow coupling energy supply networks is still limited to the collaborative optimization of energy equipment on the energy supply side, and the flexible load resources on the demand side are not also considered in the system optimization operation. category
In addition, the existing optimization model still stops at the stage of simply dividing energy flows into cold, heat, and electric energy flows, and fails to distinguish energy flows of different grades according to the energy consumption characteristics of end users, thereby realizing different grades of energy flows. Time-by-hour supply and demand matching of end-use energy

Method used

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  • Optimization method of multi-energy coupling energy supply network based on user side load reduction response
  • Optimization method of multi-energy coupling energy supply network based on user side load reduction response
  • Optimization method of multi-energy coupling energy supply network based on user side load reduction response

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Embodiment 1

[0074] This embodiment takes the establishment of a mathematical model of a multi-energy flow coupled energy supply network in a park as an example. The multi-energy flow coupled energy supply network based on user-side load reduction response includes both the user-side load reduction response model and the energy supply-side energy flow model. Among them, the user-side load reduction response module takes the reduction plan of each end user's load reduction resource as the optimization object, and under the constraints of each end user's load reduction potential, constructs a load reduction based on an elastic price mechanism for load reduction compensation The compensation cost economic model; the energy flow module of the energy supply side takes the installed capacity and operation strategy of each energy technology equipment as the optimization object, takes the CHP unit as the core of the energy hub, connects other energy technology equipment, and connects the cold, heat,...

Embodiment 2

[0133] This embodiment provides a multi-energy coupled energy supply network optimization system based on user-side load reduction response, including: user-side load reduction response model building block, load reduction compensation cost economic model building block, and energy supply side energy flow model Construction module, constraint condition setting module, state parameter input module, model solution module and optimization result output module;

[0134] In this embodiment, the user-side load reduction response model building module is used to construct a user-side load reduction response model based on terminal energy consumption, and optimize the reduction of flexible electric loads and cooling and heating temperature control loads of each terminal user on the user side volume and reduction status;

[0135] In this embodiment, the load reduction compensation cost economic model construction module is used to construct a load reduction compensation cost economic m...

Embodiment 3

[0142] This embodiment provides a storage medium, the storage medium can be a storage medium such as ROM, RAM, magnetic disk, optical disk, etc., and the storage medium stores one or more programs. Optimization method of multi-energy coupling energy supply network in response to user-side load reduction.

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Abstract

The invention discloses a multi-energy coupling energy supply network optimization method based on a user side load reduction response. The method comprises the following steps: constructing a user side load reduction response model based on a terminal energy consumption condition; constructing a compensation cost economic model of load reduction based on a load reduction mechanism; constructing an energy supply side energy flow model, and constructing a flow conversion relation of each energy flow among energy equipment; setting model correlation constraint conditions including user side load reduction response correlation constraint and energy supply side energy flow supply and demand matching constraint; state parameters needed by the model are input, the model is solved, and the optimal value of each decision variable is obtained; According to the optimization value of each decision variable, obtaining an installation scheme of each device on the energy supply side and a load reduction scheme of each terminal user on the user side. According to the method, the economic benefits of supply and demand parties in an energy supply network system and the energy conservation and emission reduction benefits of the system are ensured while unified planning and configuration of energy technical equipment on the energy supply side and load reduction response on the user side are realized.

Description

technical field [0001] The invention relates to the technical field of energy supply, in particular to an optimization method for a multi-energy coupling energy supply network based on user-side load reduction response. Background technique [0002] At present, domestic and foreign research on modeling and optimization strategies for multi-energy flow coupling energy supply networks is still limited to the collaborative optimization of energy equipment on the energy supply side, and the flexible load resources on the demand side are not also considered in the system optimization operation. category. In addition, the existing optimization model still stops at the stage of simply dividing energy flows into cold, heat, and electric energy flows, and fails to distinguish energy flows of different grades according to the energy consumption characteristics of end users, thereby realizing different grades of energy flows. Terminal energy consumption matches hourly supply and deman...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06Q10/04G06Q30/02G06Q50/06G06F111/04G06F119/08
CPCG06F30/20G06Q10/04G06Q30/0201G06Q50/06G06F2111/04G06F2119/08Y04S20/222Y02B70/3225
Inventor 李亚军张韧郭子豪肖楷王莉曾顺奇
Owner SOUTH CHINA UNIV OF TECH
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