CN-121998167-A - Method and system for optimizing CCHP comprehensive system configuration scheme of mine scene

Abstract

The invention relates to the technical field of comprehensive system configuration, and provides a CCHP comprehensive system configuration scheme optimization method and system for mine scenes. The optimization method of the CCHP comprehensive system configuration scheme of the mine scene comprises the steps of constructing a multi-target mixed integer linear programming model comprising an economical target, an energy consumption target and an environmental target based on operation parameters of the mine CCHP comprehensive system, adopting the multi-target mixed integer linear programming model The constraint method takes an economic target as a main target, limits an energy consumption target and an environmental target in a set interval, converts the energy consumption target and the environmental target into constraint conditions, and determines the optimal equipment model number, the optimal number and the optimal real-time output strategy to be used as a final configuration scheme of the mine CCHP integrated system. The method can realize automatic optimization and model selection of equipment, determine optimal equipment types, numbers and real-time output strategies, provide scientific basis for equipment configuration of the mine energy system, and improve rationality and accuracy of equipment configuration.

Inventors

• HUANG HUIQUN
• LIU WEI
• LIU XIAOPO
• ZHANG XIA
• WU QING
• Ge Sujin
• MA QINGZHAO
• YUE CHUNYANG
• ZHANG RUI
• CAO XIAOMAN
• XU GUANGQIANG
• GE QUN
• HUANG MENG
• YANG XIAOHUA
• GUO FUMIN
• LI HUI
• SONG ZHEN

Assignees

• 山东电力工程咨询院有限公司

Dates

Publication Date

20260508

Application Date

20251226

Claims (10)

1. 1. The optimization method of the CCHP comprehensive system configuration scheme of the mine scene is characterized by comprising the following steps of: Constructing a multi-target mixed integer linear programming model comprising an economic target, an energy consumption target and an environmental target based on operation parameters of the mine CCHP integrated system, wherein the economic target is to minimize annual total cost of the mine CCHP integrated system, the energy consumption target is to minimize total amount of primary energy consumed by operation of the mine CCHP integrated system, and the environmental target is to minimize total amount of greenhouse gas emission caused by operation of the mine CCHP integrated system; Based on a multi-target mixed integer linear programming model, adopts The constraint method takes an economic target as a main target, limits an energy consumption target and an environmental target in a set interval, converts the energy consumption target and the environmental target into constraint conditions, and determines the optimal equipment model number, the optimal number and the optimal real-time output strategy to be used as a final configuration scheme of the mine CCHP integrated system.
2. 2. The optimization method of CCHP integrated system configuration scheme in mine scenario as claimed in claim 1, wherein the process of determining optimal equipment model, number and real-time output strategy is: at the energy consumption target and the environment target Solving the multi-target mixed integer linear programming model within the limit value range to obtain a system scheme configuration set of equipment model numbers, number and real-time output strategies; Constructing indexes of annual total cost, investment recovery period and investment efficiency evaluation of an economic target layer, constructing indexes of primary energy consumption and primary energy saving rate of an energy consumption target layer, and constructing indexes of annual carbon emission and carbon emission reduction rate of an environmental target layer; calculating subjective weights of all standardized indexes by using an analytic hierarchy process, calculating objective weights of all standardized indexes by using a principal component analysis process, and obtaining optimal combination weights of all standardized indexes by using a combination weighting method based on a game theory and taking Nash balance as a target; And determining the highest score as the optimal system scheme configuration, namely the optimal equipment model number, the optimal number and the optimal real-time output strategy according to the weighted sum of the optimal combination weights of the standardized indexes.
3. 3. The optimization method of CCHP comprehensive system configuration scheme of mine scene as claimed in claim 2, wherein in the process of obtaining optimal combination weights of all standardized indexes by combining weighting method based on game theory, subjective weights and objective weights are regarded as two game parties, and a group of optimal combination coefficients is found through mathematical optimization And Final weighting of each normalized index = And (3) with And Wherein, Is subjective weight; is an objective weight.
4. 4. The optimization method of CCHP integrated system configuration scheme in mine scenario as claimed in claim 2, wherein for the benefit type indexes of primary energy saving rate and carbon emission reduction rate, a forward standardized formula is adopted: Wherein, the Is the first Scheme No. 1 A normalized value of the individual indicators; Is the first Scheme No. 1 Original values of the individual indicators; Is the first Maximum of the individual indicators among all schemes; Is the first The minimum of the individual metrics among all schemes.
5. 5. The optimization method of CCHP integrated system configuration scheme for mine scenarios according to claim 2, characterized in that for these cost-type indicators of annual total cost, investment recovery period, primary energy consumption, annual carbon emission, a negative standardized formula is adopted: Wherein, the Is the first Scheme No. 1 A normalized value of the individual indicators; Is the first Scheme No. 1 Original values of the individual indicators; Is the first Maximum of the individual indicators among all schemes; Is the first The minimum of the individual metrics among all schemes.
6. 6. The optimization method of CCHP integrated system configuration scheme of mine scene as claimed in claim 1, wherein The constraint method takes an economical target as a main target, and limits an energy consumption target and an environmental target in a set interval and converts the energy consumption target and the environmental target into constraint conditions, wherein the process comprises the following steps of: Wherein, the Is an economic objective function; is an energy consumption objective function; Is an environmental objective function; and (3) with The upper limit and the lower limit of the primary energy consumption are set; and (3) with Is the upper and lower limit of carbon emission; The method is characterized by comprising the steps of configuring a system scheme, namely equipment model, number and real-time output strategy; a set is configured for the system scheme.
7. 7. The method for optimizing CCHP integrated system configuration of a mine scenario as claimed in claim 5, wherein the calculation is performed by Is a range of values of (a) The process of the value range of (2) is as follows: To obtain And (3) with Respectively minimize 、 And The three single targets obtain corresponding optimal solutions; Is the minimum value I.e. individually minimized The optimal value obtained at that time; Is the minimum value I.e. individually minimized The optimal value obtained at that time; To obtain And (3) with Will be 、 And The three single-objective optimal solutions and all objective function values corresponding to the three single-objective optimal solutions are listed in a preset storage table; Maximum value of (2) To store in a table The maximum value of this column; Maximum value of (2) To store in a table The maximum value of this column; Finally, obtain Is a range of values of (a) And Is a range of values of (a) 。
8. 8. A CCHP comprehensive system configuration scheme optimizing system for mine scenes is characterized in that, a CCHP integrated system configuration optimization method based on the mine scenario of any one of claims 1-7, comprising: The system comprises a model construction module, a model generation module and a control module, wherein the model construction module is used for constructing a multi-target mixed integer linear programming model comprising an economy target, an energy consumption target and an environmental target based on operation parameters of the mine CCHP integrated system, wherein the economy target is used for minimizing the annual total cost of the mine CCHP integrated system; a scheme optimization module for adopting a multi-objective mixed integer linear programming model The constraint method takes an economic target as a main target, limits an energy consumption target and an environmental target in a set interval, converts the energy consumption target and the environmental target into constraint conditions, and determines the optimal equipment model number, the optimal number and the optimal real-time output strategy to be used as a final configuration scheme of the mine CCHP integrated system.
9. 9. A computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the CCHP integrated system configuration optimization method of a mine scenario according to any one of claims 1-7.
10. 10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the program, implements the steps of the CCHP integrated system configuration optimization method of a mine scenario of any one of claims 1-7.

Description

Method and system for optimizing CCHP comprehensive system configuration scheme of mine scene Technical Field The invention relates to the technical field of comprehensive system configuration, in particular to a CCHP comprehensive system configuration scheme optimization method and system for mine scenes. Background The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. The mine is used as a complex industrial system integrating energy conversion, transmission and terminal utilization. Mine production is highly dependent on primary energy sources such as fossil fuel, so that the energy supply stability is easily influenced by external market fluctuation, and the risk of outage exists. The system has a complex load structure, a high energy consumption link exists, and the load shows severe fluctuation along with the production rhythm, so that the problem that the overall energy efficiency of the system is lower and the carbon emission intensity is continuously increased is caused, and the traditional energy mode is difficult to adapt to the low carbonization development requirement of green mine construction. Therefore, a novel energy system with multiple functions is built, an optimal configuration method based on a real equipment database is built, and the method becomes a key path for solving the mine energy dilemma and promoting green mine construction. When the existing research is oriented to a specific scene of a mine, the complexity consideration of high fluctuation of mine load and multi-energy requirements is insufficient when a part of models are constructed, so that challenges are faced in the aspect of realizing efficient synergy of sources, networks, loads and storages, and in the aspects of equipment model selection and modeling, the construction of an equipment database based on real working condition performance parameters is relatively weak, so that the accuracy and engineering applicability of an optimization scheme in a complex and severe environment of the mine are required to be verified. Disclosure of Invention In order to solve the technical problems, the invention provides a CCHP comprehensive system configuration scheme optimization method and system for mine scenes, which can realize automatic optimization and model selection of equipment, determine optimal equipment types, numbers and real-time output strategies, provide scientific basis for equipment configuration of a mine energy system, and improve rationality and accuracy of equipment configuration. In order to achieve the above purpose, the present invention adopts the following technical scheme: The first aspect of the invention provides a CCHP comprehensive system configuration scheme optimization method for a mine scene. In one or more embodiments, there is provided a CCHP integrated system configuration optimization method for a mine scenario, including: Constructing a multi-target mixed integer linear programming model comprising an economic target, an energy consumption target and an environmental target based on operation parameters of the mine CCHP integrated system, wherein the economic target is to minimize annual total cost of the mine CCHP integrated system, the energy consumption target is to minimize total amount of primary energy consumed by operation of the mine CCHP integrated system, and the environmental target is to minimize total amount of greenhouse gas emission caused by operation of the mine CCHP integrated system; Based on a multi-target mixed integer linear programming model, adopts The constraint method takes an economic target as a main target, limits an energy consumption target and an environmental target in a set interval, converts the energy consumption target and the environmental target into constraint conditions, and determines the optimal equipment model number, the optimal number and the optimal real-time output strategy to be used as a final configuration scheme of the mine CCHP integrated system. As an implementation manner, the process of determining the optimal equipment model number, the optimal number and the optimal real-time output strategy is as follows: at the energy consumption target and the environment target Solving the multi-target mixed integer linear programming model within the limit value range to obtain a system scheme configuration set of equipment model numbers, number and real-time output strategies; Constructing indexes of annual total cost, investment recovery period and investment efficiency evaluation of an economic target layer, constructing indexes of primary energy consumption and primary energy saving rate of an energy consumption target layer, and constructing indexes of annual carbon emission and carbon emission reduction rate of an environmental target layer; calculating subjective weights of all standardized indexes by using an analytic hierarchy process, calcul