Mine integrated energy system full-link low-carbon scheduling method and system considering flexible maintenance

Abstract

The invention discloses a full-link low-carbon dispatching method and device for a mine comprehensive energy system considering flexible overhaul, and establishes a production-storage-transportation-washing-use full-link economic low-carbon optimal dispatching method for the mine comprehensive energy system considering overground-underground flexible overhaul, and comprehensively considers mine multi-link operation constraints. And forming a mine integrated energy system economic low-carbon scheduling strategy supported by multi-energy flow mutual assistance, and solving the constructed mixed integer linear programming model by adopting a related solver to obtain a system operation scheme in a scheduling period. Through cooperation of the multi-energy coupling equipment and flexible adjustment of the controllable unit, the problems of high carbon emission, high energy consumption and the like in the mine production operation process are solved, and the operation economical efficiency and low-carbon performance of the mine comprehensive energy system are fully improved.

Description

Technical Field

[0001] The present invention relates to the field of mine integrated energy system planning, and in particular to a low-carbon scheduling method and system for all aspects of a mine integrated energy system taking maintenance into consideration. Background Art

[0002] As a special regional integrated energy system that integrates multi-form energy resources at the source of coal mines, the mine integrated energy system can be supported by energy storage technology. While achieving precise matching with the terminal energy demand of the mining area, it can effectively improve the efficiency of energy resource utilization and significantly reduce environmental pollution and greenhouse gas emissions in the mining area.

[0003] During the production and operation of mines, the source and load are closely coupled, but the coupling mechanism of coal resources from production to use is still unclear, and the coupling characteristics of the entire process of coal mine production and energy consumption need to be explored. In addition, the low mortality red line of mines requires that the production and operation process of coal mines must be based on safe development. Therefore, coal mines usually set up special equipment maintenance periods to ensure the safe and stable operation of mines. However, under normal circumstances, the maintenance period of multiple types of equipment in coal mines is fixed, which makes it difficult for the system to adapt to peak and valley electricity prices and renewable energy output, thus facing a situation of high consumption and low efficiency. At the same time, due to different types of equipment, the required maintenance time varies, making it difficult for the traditional unified maintenance method of all equipment to meet the production and operation needs of mines. Therefore, in the process of optimizing the scheduling of the comprehensive energy system of mines, it is necessary to flexibly adjust the maintenance status of equipment in different links according to the material-energy requirements of multiple links of coal mine production-energy consumption, so as to fully improve the economic benefits and low-carbon benefits of the system.

[0004] At present, research on the integrated energy system of mines has not explored the coupling mode of the entire production-storage-transportation-washing-use link of coal mines, and the potential for flexible operation of multiple links in the production-demand of mines needs to be further explored. At the same time, there has been no research on the flexible maintenance of multiple links of production equipment above and below ground in coal mines by time-sharing and classification. Summary of the invention

[0005] The purpose of the present invention is to provide a low-carbon scheduling method and system for all aspects of a mine comprehensive energy system taking maintenance into consideration, so as to solve the above-mentioned problems.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] The present invention provides a low-carbon scheduling method for all aspects of a mine comprehensive energy system taking flexible maintenance into consideration, and the method steps include:

[0008] According to the selected mine comprehensive energy system, the types of energy resources in the mining area are sorted out, and combined with the characteristics of the multi-load demand of the mining area, the operating parameters of the mine comprehensive energy system are obtained;

[0009] According to the operating parameters of the mine comprehensive energy system and combined with the production process of the coal mine, a material-energy coupling topology of the mine comprehensive energy system with coordinated coupling of production, storage, transportation, washing and use is constructed;

[0010] By extracting the coupling characteristics of all links of coal resources from source mining to load-end utilization, the full-link synergistic mode of production-storage-transportation-washing-use of the mine comprehensive energy system considering production characteristics is obtained, and the full-link synergistic coupling model of coal mine production-storage-transportation-washing-use is abstracted;

[0011] Based on the synergistic coupling model of coal mine production, storage, transportation, washing and use and the maintenance requirements of multiple types of equipment in the mine comprehensive energy system, a time-sharing and classified maintenance strategy for multiple types of equipment above and below ground in coal mines is formulated, and flexible maintenance constraints for multiple links of above and below ground production and energy use are abstracted;

[0012] According to the material-energy coupling topology of the mine comprehensive energy system with coordinated coupling of production, storage, transportation, washing and use, the operation parameters of the mine comprehensive energy system, the coordinated coupling model of coal mine production, storage, transportation, washing and use, and the flexible maintenance constraints of multiple links of production and energy use from aboveground to underground, and the comprehensive consideration of the constraints of the associated resource utilization link, carbon emission link, and power balance constraint of the mine comprehensive energy system, and taking the minimum total operating cost of the mine comprehensive energy system as the optimization goal, an economic and low-carbon optimization scheduling model of the production, storage, transportation, washing and use of the mine comprehensive energy system considering flexible maintenance from aboveground to underground is constructed;

[0013] By constructing an economical and low-carbon optimization scheduling model for the production, storage, transportation, washing and use of the comprehensive energy system of the mine taking into account flexible maintenance both aboveground and underground, the solver is called to solve the problem; the solution results include: total system operating cost, carbon emissions, renewable energy consumption, operating conditions of multi-energy coupling equipment and aboveground and underground maintenance plans.

[0014] In one embodiment, the production-storage-transportation-washing-use full-link synergy mode of the mine comprehensive energy system considering production characteristics is specifically:

[0015] First, multiple coal mining faces work together to meet the mine's design and production needs; second, the bottom belt conveyor transports the mined coal resources to the bottom coal bunker for storage; the raw coal bunker serves as a link between the bottom coal bunker and the coal washing plant, and with the help of the belt conveyor, the amount of coal transported in and out can be flexibly adjusted; finally, the coal washing plant transports raw coal into the raw coal bunker for washing and obtains coal products including gangue; the gangue is transported to the gangue bunker for storage and utilization by the gangue belt conveyor, and the remaining coal products are transported to the corresponding coal bunker for storage.

[0016] In one embodiment, the abstracted coordinated coupling model of coal mine production, storage, transportation, washing and utilization includes: coordinated production constraints of multiple coal mining faces, flexible operation constraints of multiple types of coal bunkers, constraints on coal resource washing and selection, and constraints on gangue resource utilization.

[0017] In one embodiment, the multi-coal mining face collaborative production constraint is expressed as:

[0018]

[0019]

[0020] In the formula, are the coal mining volume and coal mining machine power of coal mining face i in period t; i , They are respectively the electricity consumption of coal i ton at the coal mining face and the coal mine operating coefficient during period t; is the amount of coal transported into the bottom coal bunker by the bottom belt conveyor i during period t; is the coal transport condition coefficient; is the power of the belt conveyor i at the bottom of the well during period t; η BC 、V BC are respectively the conveyor efficiency and belt speed; θ 1 ,θ 2 are the coefficients related to the belt conveyor structure; T is the system scheduling cycle; E coal The coal production demand of the mining area within the scheduling period;

[0021] The flexible operation constraints of the multi-type coal bunkers are expressed as:

[0022]

[0023] In the formula, They are the storage capacity of the bottom coal bunker, raw coal bunker and gangue bunker in period t respectively; are the amount of coal transported into the bottom coal bunker by the bottom belt conveyor i during period t, the amount of coal transported into the raw coal bunker by the bottom coal bunker, the amount of coal transported into the coal washing plant by the raw coal bunker, the amount of gangue washed, and the amount of gangue transported out of the gangue bunker; η BC 、V BC are belt conveyor efficiency and belt speed respectively; θ 1 ,θ 2 are the coefficients related to the belt conveyor structure respectively; are the power and transport volume of belt conveyor l (including belt conveyor between coal bunker at the bottom of the mine and raw coal bunker, belt conveyor between raw coal bunker and coal washing plant, and belt conveyor for gangue) in period t respectively;

[0024] The constraints of the coal resource washing process are expressed as:

[0025]

[0026] In the formula, They are the amount of coal, washed gangue, medium coal and clean coal transported from the raw coal bunker to the coal washing plant during period t; are the power of the coal preparation plant and the electricity consumption per ton of coal for period t; CG , γ MC , γ CC They are respectively the gangue washing rate, the medium coal washing rate and the clean coal washing rate; are the power and transport volume of belt conveyor m (including belt conveyors for gangue, medium coal and clean coal) in period t; η BC 、V BC are belt conveyor efficiency and belt speed respectively; θ 1 ,θ 2 are the coefficients related to the belt conveyor structure respectively;

[0027] The constraints of the gangue resource utilization link are expressed as:

[0028]

[0029] In the formula, They are the amount of gangue stored in the gangue site, the amount of gangue transported out of the gangue bin and the amount of gangue utilized in period t respectively; are respectively the power generation and heat generation of the gangue power plant in period t; η GPP,e , η GPP,h , η loss,GPP , μ G They are power generation, heat production efficiency, self-consumption rate of electricity and calorific value of gangue.

[0030] In one embodiment, the time-sharing and classified maintenance strategy for multiple types of equipment above and below ground in a coal mine is:

[0031] The coal washing plant and belt conveyor above the mine, the coal mining machine below the mine, and the belt conveyor at the bottom of the mine are regarded as flexible loads;

[0032] According to the differences in maintenance time of different maintenance links and different types of equipment, the maintenance status of the surface-underground production-energy consumption link is flexibly adjusted; the different maintenance links include: underground maintenance link and surface maintenance link; among them, the underground maintenance link includes the maintenance of the coal mining face coal mining machine and the bottom belt conveyor, the underground maintenance period is 6 consecutive hours, and no coal mining is carried out during the maintenance period; the surface maintenance link includes the maintenance of the belt conveyor after the bottom coal bunker and the coal washing plant, the surface maintenance is 3 consecutive hours, and the equipment stops working during the maintenance period;

[0033] Through the coordination of surface and underground production plans, the mine's integrated energy system fully responds to renewable energy output and peak-valley electricity price policies.

[0034] In one embodiment, the flexible maintenance constraint of the multiple links of uphole-downhole production-energy consumption includes: flexible maintenance constraint representation of downhole equipment and flexible maintenance constraint of uphole equipment, wherein:

[0035] The flexible maintenance constraint of downhole equipment is expressed as:

[0036]

[0037]

[0038] In the formula, is the equipment maintenance state variable of the underground production link during period t, 0 means maintenance, and 1 means working; State variables introduced to ensure continuous maintenance of downhole equipment;

[0039] The flexible maintenance constraint of the well equipment is expressed as:

[0040]

[0041] In the formula, are the power and transport volume of belt conveyor k (including the belt conveyor after the coal bunker at the bottom of the mine) in the production link at time t; is the maintenance status of the equipment in the well production link during period t, 0 means maintenance, and 1 means working; State variables are introduced to ensure continuous maintenance of equipment on the well.

[0042] In one implementation, the maintenance period constraint of the coal mining face in the flexible maintenance constraint of underground equipment is linearly expressed as follows:

[0043]

[0044] In the formula, Auxiliary variable introduced for the linearization process; ε i,max , ε i,min They are the upper and lower limits of coal mining machine power respectively.

[0045] In one embodiment, the optimization objective is to minimize the total operating cost of the mine comprehensive energy system, which is expressed as:

[0046] minC=min(C 1 +C 2 +C 3 +C 4 )

[0047]

[0048]

[0049] Where: C is the total cost of the mine comprehensive energy system during the dispatching period; C 1 , C 2 , C 3 , C 4 They are system energy purchase cost, abandoned solar cost, carbon trading cost, and equipment operation cost; is the electricity price in period t; δ buy is the gas purchase price; is the gas purchasing power in period t; μ q is the light abandonment penalty coefficient; μ T It is the base price for carbon trading; is the predicted photovoltaic output during period t; μ GPP , μ CPP , μ CM , μ BC They are the operating cost coefficients of gangue power plant, coal washing plant, coal mining machine and belt conveyor respectively.

[0050] In one implementation, the associated resource utilization link constraints:

[0051]

[0052] Where: are the electrical and thermal power output of the gas turbine during period t; η GT , η loss,GT are the energy conversion efficiency and heat loss coefficient of the gas turbine respectively; is the coalbed methane concentration during period t; is the calorific value of natural gas; is the coalbed methane flow rate during period t; is the thermal power output of the thermal storage oxidation device during period t; η RTO is the energy conversion efficiency of the thermal storage oxidation device; is the lack of wind concentration during period t; is the lack of wind flow rate during period t; is the water storage capacity of the water tank during period t; are the water inflow and outflow of the water tank during period t; V WS,min 、V WS,max They are the upper and lower limits of water storage capacity in the water tank respectively; is the drainage pump power during period t; η WP is the drainage pump efficiency; ψ is the mine water density; τ is the surplus coefficient; D is the pump head; is the thermal power output of the water source heat pump during period t; η WSHP is the heating coefficient of the water source heat pump; is the power consumption of the water source heat pump during period t; COP WSHP is the energy efficiency coefficient of the water source heat pump.

[0053] The carbon emission constraints are:

[0054]

[0055] Where: is the carbon emissions generated by the system during period t; are the carbon emissions generated by the gas turbine, thermal storage oxidation device, gas boiler, gangue power plant, and mine electricity purchase during period t; κ GT , κ RTO , κ GB , κ GPP , κ buy are the carbon emission intensity of gas turbines, thermal storage oxidizers, gas boilers, gangue power plants, and mine electricity purchases during period t; is the heating power of the gas boiler during period t; is the power purchased by the mine during period t; Free carbon quota for the system; are the free carbon quotas of thermal storage oxidation device, gas boiler, gangue power plant and mine purchased electricity in period t; v RTO 、v GB 、v GPP , ν buy They are free carbon emission quotas for thermal storage oxidation devices, gas boilers, gangue power plants, and mine electricity purchases.

[0056] The power balance constraint is:

[0057]

[0058] Where: is the renewable energy power consumed by the system during period t; They are the charging and discharging power of the battery during period t respectively; is the total power consumption of the above-ground and underground multi-link belt conveyor during period t; is the total power consumption of the coal mining machine during period t; They are respectively the mine electrical load and thermal load in period t.

[0059] The present invention also provides a low-carbon dispatching system for all aspects of a mine comprehensive energy system taking flexible maintenance into consideration, the system comprising:

[0060] The operation parameter acquisition module is used to sort out the types of energy resources in the mining area according to the selected mining comprehensive energy system, and to obtain the operation parameters of the mining comprehensive energy system in combination with the characteristics of the multi-load demand of the mining area;

[0061] The topology building module is used to combine the operating parameters of the mine comprehensive energy system with the production process of the coal mine to build a material-energy coupling topology of the mine comprehensive energy system with coordinated coupling of production, storage, transportation, washing and use.

[0062] The full-link synergistic coupling model module is used to extract the full-link coupling characteristics of coal resources from source mining to load utilization, derive the full-link synergistic mode of production-storage-transportation-washing-use of the mine comprehensive energy system considering production characteristics, and abstract the full-link synergistic coupling model of coal mine production-storage-transportation-washing-use;

[0063] The flexible maintenance constraint module for multiple links of above-ground and underground production and energy consumption is used to formulate a time-sharing and classified maintenance strategy for multiple types of equipment in coal mines based on the coordinated coupling model of coal mine production, storage, transportation, washing and use and the maintenance requirements of multiple types of equipment in the mine comprehensive energy system, and abstract the flexible maintenance constraints for multiple links of above-ground and underground production and energy consumption;

[0064] The module for constructing the economic and low-carbon optimization scheduling model of all links is used to construct the economic and low-carbon optimization scheduling model of all links of the mine comprehensive energy system, which takes into account the material-energy coupling topology of the mine comprehensive energy system with coordinated coupling of all links of production, storage, transportation, washing and use, the operating parameters of the mine comprehensive energy system, the coordinated coupling model of all links of coal production, storage, transportation, washing and use, and the flexible maintenance constraints of multiple links of production and energy use from aboveground to underground, taking into account the operation constraints of the associated resource utilization link of the mine comprehensive energy system, the constraints of the carbon emission link, and the power balance constraints, and taking the minimum total operating cost of the mine comprehensive energy system as the optimization goal, to construct the economic and low-carbon optimization scheduling model of all links of the mine comprehensive energy system with flexible maintenance from aboveground to underground;

[0065] The solution module is used to call the solver for solving the economic low-carbon optimization scheduling model of production-storage-transportation-washing-use of the comprehensive energy system of the mine that takes into account flexible maintenance both aboveground and underground. The solution results include: total system operating cost, carbon emissions, renewable energy consumption, operating conditions of multi-energy coupling equipment and aboveground-underground maintenance plan.

[0066] Beneficial effects of the present invention:

[0067] According to the production and operation characteristics of coal mines, the present invention has sorted out the coupling characteristics of coal energy resources from production to use in detail, established an economic and low-carbon optimization scheduling model for the production, storage, transportation, washing and use of the mine comprehensive energy system considering flexible maintenance both aboveground and underground, comprehensively considered the flexible operation characteristics of flexible links such as drainage and coal transportation of the mine comprehensive energy system, and formulated an economic and low-carbon operation strategy for the mine comprehensive energy system with coupled electricity, heat and gas multi-energy flows by optimizing the output of multi-energy coupling equipment and flexibly adjusting the maintenance status of various types of equipment aboveground and underground, effectively solving the problems of high energy consumption and high carbon emissions in coal mines, promoting the flexible and reliable absorption of renewable energy in mining areas, realizing the economic and low-carbon optimization operation of the mine comprehensive energy system, and creating a new green and low-carbon energy use system in mining areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0069] Figure 1 A flow chart of a low-carbon scheduling method for all aspects of a mine integrated energy system taking flexible maintenance into consideration provided by an embodiment of the present invention;

[0070] Figure 2 The material-energy coupling topology of the mining comprehensive energy system with coordinated coupling of all links of production, storage, transportation, washing and use provided in one embodiment of the present invention;

[0071] Figure 3 The electricity price and photovoltaic output value provided by a specific embodiment of the present invention;

[0072] Figure 4 A graph showing changes in coal storage volume in multiple coal bins provided in a specific embodiment of the present invention;

[0073] Figure 5 A comparison diagram of water storage capacity in water tanks under different scenarios provided by a specific embodiment of the present invention;

[0074] Figure 6 A combined maintenance plan diagram for an uphole and downhole repair provided in a specific embodiment of the present invention;

[0075] Figure 7 A plan diagram of uphole and downhole work under a time-sharing and classified maintenance strategy provided in a specific embodiment of the present invention;

[0076] Figure 8 A belt conveyor capacity diagram under the multi-link coupling of coal mine production and demand provided by a specific embodiment of the present invention.

[0077] It should be noted that these drawings and textual descriptions are not intended to limit the conceptual scope of the present invention in any way, but are intended to illustrate the concept of the present invention for those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0078] The present invention aims to solve the problems of high carbon emissions and high energy consumption during the operation of mining areas, fully tap the potential of flexible operation of multiple links, consider the coupling constraints of multiple links, and establish an economic and low-carbon optimization scheduling model for a comprehensive energy system of a mine with multi-resource aggregation. By linearizing the nonlinear constraints in the model and calling the mathematical solver to solve it, the economic and low-carbon optimization scheduling plan for the mine on the day before is obtained.

[0079] The following is a detailed description of an economical and low-carbon optimization scheduling method for the entire production-storage-transportation-washing-use process of a comprehensive energy system for mines that takes into account flexible maintenance both above and below ground, as proposed by the present invention, in conjunction with the embodiments and drawings.

[0080] The present invention provides a low-carbon scheduling method for all aspects of a mine comprehensive energy system taking flexible maintenance into consideration, such as Figure 1 As shown, the following steps are included:

[0081] Step 100: Based on the selected mine comprehensive energy system, sort out the types of energy resources in the mining area, and combine the characteristics of the multi-load demand of the mining area to obtain the operating parameters of the mine comprehensive energy system.

[0082] In the embodiment of the present application, the energy resources of the multi-resource aggregated mine comprehensive energy system include: renewable energy, wind-deficient resources, coalbed methane resources, water resources, coal resources, gangue resources, and electrical load and thermal load. Combined with the multi-load demand characteristics of the mining area, the operating parameters of the mine comprehensive energy system include: multi-energy coupling equipment operating parameters, water tank capacity parameters, gangue washing rate parameters, mine water inrush weight parameters, carbon trading price parameters, and coal production demand parameters. This embodiment only selects some of the system equipment operating parameters for illustration, see Table 1.

[0083] Table 1 System equipment operating parameters

[0084]

[0085] Step 200: Based on the operating parameters of the mine comprehensive energy system and combined with the production process of the coal mine, a material-energy coupling topology of the mine comprehensive energy system with coordinated coupling of the entire links of production-storage-transportation-washing-use is constructed.

[0086] Reference Figure 2 As shown, in the embodiment of the present application, the present invention constructs a material-energy coupling topology of a mine comprehensive energy system with coordinated coupling of production-storage-transportation-washing-use, including: coal mining unit, multi-type coal bunker operation unit, conveyor unit, coal preparation plant unit, gangue utilization unit, gushing water utilization unit, wind exhaust utilization unit, gas utilization unit, power grid power supply unit, photovoltaic power generation unit, battery device unit, boiler unit, load unit. In this topological structure, photovoltaic, power grid, battery, and gangue power plant meet the power demand of the system; thermal storage oxidation device, water source heat pump, gangue power plant, waste heat boiler, and gas boiler cooperate to meet the heating demand of the system.

[0087] Step 300: By extracting the coupling characteristics of all links of coal resources from source mining to load-end utilization, a coordinated mode of production-storage-transportation-washing-use in all links of the mine comprehensive energy system considering production characteristics is obtained, and a coordinated coupling model of all links of coal mine production-storage-transportation-washing-use is abstracted.

[0088] The embodiment of the present application starts from the specific production process of the coal mine and extracts the coupling characteristics of the entire link of coal resources from source mining to load-end utilization.

[0089] In the embodiment of the present application, the production-storage-transportation-washing-use full-link collaborative mode of the mine comprehensive energy system considering the production characteristics is specifically as follows:

[0090] First, multiple coal mining faces work together to meet the mine's design and production needs; second, the bottom belt conveyor transports the mined coal resources to the bottom coal bunker for storage; the raw coal bunker serves as a link between the bottom coal bunker and the coal washing plant, and with the help of the belt conveyor, the amount of coal transported in and out can be flexibly adjusted; finally, the coal washing plant transports raw coal into the raw coal bunker for washing and obtains coal products such as gangue, of which the gangue is transported to the gangue bunker for storage and utilization by the gangue belt conveyor, and the remaining coal products are transported to the corresponding coal bunker for storage.

[0091] Furthermore, a coordinated coupling model of the entire process of coal mine production, storage, transportation, washing and utilization was abstracted, including: coordinated production constraints of multiple coal mining faces, flexible operation constraints of multiple types of coal bunkers, constraints on coal resource washing and constraints on gangue resource utilization.

[0092] Furthermore, the collaborative production constraints of multiple coal mining faces are expressed as:

[0093]

[0094] In the formula, are the coal mining volume and coal mining machine power of coal mining face i in period t; i , They are respectively the power consumption of coal i ton at the coal mining face and the coal mine working condition coefficient; is the amount of coal transported into the bottom coal bunker by the bottom belt conveyor i during period t; is the coal transport condition coefficient; is the power of the belt conveyor i at the bottom of the well during period t; η NC 、V NC are belt conveyor efficiency and belt speed respectively; θ 1 ,θ 2 are the coefficients related to the belt conveyor structure; T is the system scheduling cycle; E coal It is the coal production demand of the mining area within the scheduling period.

[0095] The bottom coal bunker, raw coal bunker and gangue bunker can flexibly adjust resource reserves under the action of belt conveyors.

[0096] Furthermore, the flexible operation constraints of multiple types of coal bunkers are expressed as:

[0097]

[0098]

[0099] In the formula, They are the storage capacity of the bottom coal bunker, raw coal bunker and gangue bunker in period t respectively; They are the amount of coal transported from the bottom coal bunker to the raw coal bunker, the amount of coal transported from the raw coal bunker to the coal washing plant, the amount of gangue washed, and the amount of gangue transported out of the gangue bunker during period t. They are respectively the power and transport volume of belt conveyor l (including the belt conveyor between the bottom coal bunker and the raw coal bunker, the belt conveyor between the raw coal bunker and the coal washing plant, and the gangue belt conveyor) in period t.

[0100] Furthermore, the constraints of coal resource washing are expressed as:

[0101]

[0102] In the formula, They are the amount of washed coal and clean coal in period t respectively; is the power of the coal preparation plant during period t; CPP is the electricity consumption per ton of coal for washing in period t; CG , γ MC , γ CC They are respectively the gangue washing rate, the medium coal washing rate and the clean coal washing rate; They are respectively the power and transport volume of belt conveyor m (including belt conveyors for gangue, medium coal and clean coal) in period t.

[0103] Furthermore, the constraints of waste rock resource utilization are expressed as:

[0104]

[0105] In the formula, They are the amount of gangue stored and the amount of gangue utilized in the gangue site during period t respectively; are respectively the power generation and heat generation of the gangue power plant in period t; η GPP,e , η GPP,h , η loss,GPP , μ G They are power generation, heat production efficiency, self-consumption rate of electricity and calorific value of gangue.

[0106] Step 400: Based on the coordinated coupling model of the entire process of coal mine production, storage, transportation, washing and use and the maintenance requirements of multiple types of equipment in the mine comprehensive energy system, a time-sharing and classified maintenance strategy for multiple types of equipment above and below ground in coal mines is formulated, and flexible maintenance constraints for multiple links of above and below ground production and energy use are abstracted.

[0107] Under the traditional operation mode of coal mines, the maintenance period of various types of equipment above and below ground is fixed, and the maintenance period of above ground equipment is within the maintenance period of underground equipment.

[0108] In order to effectively improve the economic and low-carbon benefits of mine operation, in the embodiment of the present application, the time-sharing and classified maintenance strategy for multiple types of equipment above and below the coal mine is:

[0109] According to the differences in maintenance time of different maintenance links and different types of equipment, the maintenance status of the surface-underground production-energy consumption link is flexibly adjusted; the different maintenance links include: underground maintenance link and surface maintenance link; among them, the underground maintenance link includes the maintenance of coal mining machines at the coal mining face and belt conveyors at the bottom of the mine, the underground maintenance period is 6 consecutive hours, and no coal mining is carried out during the maintenance period; the surface maintenance link includes the maintenance of belt conveyors and coal washing plants behind the coal bunker at the bottom of the mine, the surface maintenance is 3 consecutive hours, and the equipment stops working during the maintenance period; through the coordination of surface-underground production plans, the mine's comprehensive energy system can fully respond to the output of renewable energy and peak-valley electricity price policies to achieve green and efficient operation.

[0110] Furthermore, the flexible maintenance constraint of underground equipment is expressed as:

[0111]

[0112] In the formula, is the equipment maintenance state variable of the underground production link during period t, 0 means maintenance, and 1 means working; State variables introduced to ensure continuous maintenance of underground equipment.

[0113] The flexible maintenance constraint of well equipment is expressed as:

[0114]

[0115] In the formula, are the power and transport volume of belt conveyor k (including the belt conveyor after the coal bunker at the bottom of the mine) in the production link at time t; is the maintenance status of the equipment in the well production link during period t, 0 means maintenance, and 1 means working; State variables are introduced to ensure continuous maintenance of equipment on the well.

[0116] In a preferred embodiment, the maintenance period constraint of the coal mining face in the flexible maintenance constraint of underground equipment is linearly expressed as follows:

[0117]

[0118] In the formula, Auxiliary variables introduced for the linearization process; ε i,max , ε i,min They are the upper and lower limits of coal mining machine power respectively.

[0119] Since the above-mentioned flexible maintenance constraints of multiple links above and below ground contain nonlinear terms, and the forms of the nonlinear terms are the same, only the linearized expression of the maintenance period constraint of the coal mining working face is given. The purpose of linearizing the maintenance period constraint of the coal mining working face is to facilitate the subsequent solver to obtain the optimal solution.

[0120] Step 500: Based on the material-energy coupling topology of the mine comprehensive energy system with coordinated coupling of all links of production-storage-transportation-washing-use, the operating parameters of the mine comprehensive energy system, the coordinated coupling model of all links of coal mine production-storage-transportation-washing-use, and the flexible maintenance constraints of multiple links of above-ground and underground production-energy use, and comprehensive consideration of the constraints of the link of associated resource utilization, the link of carbon emission, and the power balance constraints of the mine comprehensive energy system, and taking the minimization of the total operating cost of the mine comprehensive energy system as the optimization goal, an economic and low-carbon optimization scheduling model of the whole link of production-storage-transportation-washing-use of the mine comprehensive energy system considering flexible maintenance above-ground and underground is constructed.

[0121] In the embodiment of the present application, the constraints on the associated resource utilization link of the mine comprehensive energy system can be expressed as:

[0122]

[0123]

[0124] Where: are the electrical and thermal power output of the gas turbine during period t; η GT , η loss,GT are the energy conversion efficiency and heat loss coefficient of the gas turbine respectively; is the coalbed methane concentration during period t; is the calorific value of natural gas; is the coalbed methane flow rate during period t; is the thermal power output of the thermal storage oxidation device during period t; η RTO is the energy conversion efficiency of the thermal storage oxidation device; is the lack of wind concentration during period t; is the lack of wind flow rate during period t; is the water storage capacity of the water tank during period t; are the water inflow and outflow of the water tank during period t; V WS,min 、V WS,max They are the upper and lower limits of water storage capacity in the water tank respectively; is the drainage pump power during period t; η WP is the drainage pump efficiency; ψ is the mine water density; τ is the surplus coefficient; D is the pump head; is the thermal power output of the water source heat pump during period t; η WSHP is the heating coefficient of the water source heat pump; is the power consumption of the water source heat pump during period t; COP WSHP is the energy efficiency coefficient of the water source heat pump.

[0125] The constraints on carbon emissions in the integrated energy system of mines are expressed as:

[0126]

[0127] Where: is the carbon emissions generated by the system during period t; are the carbon emissions generated by the gas turbine, thermal storage oxidation device, gas boiler, gangue power plant, and mine electricity purchase during period t; κ GT , κ RTO , κ GB , κ GPP , κ buy are the carbon emission intensity of gas turbines, thermal storage oxidizers, gas boilers, gangue power plants, and mine electricity purchases during period t; is the heating power of the gas boiler during period t; is the power purchased by the mine during period t; Free carbon quota for the system; are the free carbon quotas of thermal storage oxidation device, gas boiler, gangue power plant and mine purchased electricity in period t; ν RTO , ν GB , ν GPP , ν buy They are free carbon emission quotas for thermal storage oxidation devices, gas boilers, gangue power plants, and mine electricity purchases.

[0128] The power balance constraint of the mine comprehensive energy system is expressed as:

[0129]

[0130] Where: is the renewable energy power consumed by the system during period t; They are the charging and discharging power of the battery during period t respectively; is the total power consumption of the above-ground and underground multi-link belt conveyor during period t; is the total power consumption of the coal mining machine during period t; They are respectively the mine electrical load and thermal load in period t.

[0131] The integrated energy system of mines supported by the mutual assistance of multiple energy flows takes minimizing electricity purchase costs, gas purchase costs, abandoned light costs, carbon trading costs, and equipment operating costs as its optimization goal.

[0132] Furthermore, the optimization goal is to minimize the total operating cost of the mine comprehensive energy system, which can be expressed as:

[0133] minC=min(C 1 +C 2 +C 3 +C 4 ) (52)

[0134]

[0135] Where: C is the total cost of the mine comprehensive energy system during the dispatching period; C 1 , C2 , C 3 , C 4 They are system energy purchase cost, abandoned solar cost, carbon trading cost, and equipment operation cost; is the electricity price in period t; δ buy is the gas purchase price; is the gas purchasing power in period t; μ q is the light abandonment penalty coefficient; μ T It is the base price for carbon trading; is the predicted photovoltaic output during period t; μ GPP , μ CPP , μ CM , μ BC They are the operating cost coefficients of gangue power plant, coal washing plant, coal mining machine and belt conveyor respectively.

[0136] Step 600: By constructing an economical and low-carbon optimization scheduling model for the production, storage, transportation, washing and use of the comprehensive energy system of the mine taking into account flexible maintenance both aboveground and underground, the solver is called to solve the problem; the solution results include: the total operating cost of the system, carbon emissions, renewable energy consumption, operating conditions of multi-energy coupling equipment and aboveground and underground maintenance plans.

[0137] Specifically, according to the economic low-carbon optimization scheduling model of the production-storage-transportation-washing-use of the mine comprehensive energy system considering the flexible maintenance of the mine surface and underground established in step 500, the relevant solver is called for solving. The economic low-carbon optimization scheduling problem of the mine comprehensive energy system established by the present invention is a mixed integer linear programming problem, which can be solved by calling the relevant solver.

[0138] The present invention establishes an economical and low-carbon optimization scheduling method for the production, storage, transportation, washing and use of a comprehensive energy system for mines that takes into account flexible maintenance both above and below ground. It comprehensively considers the operating constraints of multiple links in mines, forms an economical and low-carbon scheduling strategy for a comprehensive energy system for mines that is supported by the mutual assistance of multiple energy flows, and uses a related solver to solve the constructed mixed integer linear programming model to obtain a system operation plan within the scheduling period.

[0139] In one embodiment, a low-carbon dispatching system for all aspects of a mine integrated energy system taking flexible maintenance into consideration is proposed, and the system includes:

[0140] The operation parameter acquisition module is used to sort out the types of energy resources in the mining area according to the selected mining comprehensive energy system, and combine the characteristics of the multi-load demand of the mining area to obtain the operation parameters of the mining comprehensive energy system;

[0141] The topology building module is used to combine the operating parameters of the mine comprehensive energy system with the production process of the coal mine to build a material-energy coupling topology of the mine comprehensive energy system with coordinated coupling of production, storage, transportation, washing and use;

[0142] The full-link synergistic coupling model module is used to extract the full-link coupling characteristics of coal resources from source mining to load utilization, derive the full-link synergistic mode of production-storage-transportation-washing-use of the mine comprehensive energy system considering production characteristics, and abstract the full-link synergistic coupling model of coal mine production-storage-transportation-washing-use;

[0143] The flexible maintenance constraint module for multiple links of above-ground and underground production and energy consumption is used to formulate a time-sharing and classified maintenance strategy for multiple types of equipment in coal mines based on the coordinated coupling model of coal mine production, storage, transportation, washing and use and the maintenance requirements of multiple types of equipment in the mine comprehensive energy system, and abstract the flexible maintenance constraints for multiple links of above-ground and underground production and energy consumption;

[0144] The module for constructing the economic and low-carbon optimization scheduling model of all links is used to construct the economic and low-carbon optimization scheduling model of all links of the mine comprehensive energy system, which takes into account the material-energy coupling topology of the mine comprehensive energy system with coordinated coupling of all links of production, storage, transportation, washing and use, the operating parameters of the mine comprehensive energy system, the coordinated coupling model of all links of coal production, storage, transportation, washing and use, and the flexible maintenance constraints of multiple links of production and energy use from aboveground to underground, taking into account the operation constraints of the associated resource utilization link of the mine comprehensive energy system, the constraints of the carbon emission link, and the power balance constraints, and taking the minimum total operating cost of the mine comprehensive energy system as the optimization goal, to construct the economic and low-carbon optimization scheduling model of all links of the mine comprehensive energy system with flexible maintenance from aboveground to underground;

[0145] The solution module is used to call the solver for solving the economic low-carbon optimization scheduling model of production-storage-transportation-washing-use of the comprehensive energy system of the mine that takes into account flexible maintenance both aboveground and underground. The solution results include: total system operating cost, carbon emissions, renewable energy consumption, operating conditions of multi-energy coupling equipment and aboveground-underground maintenance plan.

[0146] It should be noted that the low-carbon scheduling system for all aspects of the integrated energy system of a mine taking flexible maintenance into consideration provided in the above-mentioned embodiment only uses the division of the above-mentioned functional modules as an example when executing the low-carbon scheduling method for all aspects of the integrated energy system of a mine taking flexible maintenance into consideration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the equipment is divided into different functional modules to complete all or part of the functions described above. In addition, the low-carbon scheduling system for all aspects of the integrated energy system of a mine taking flexible maintenance into consideration provided in the above-mentioned embodiment belongs to the same concept as the embodiment of the method for low-carbon scheduling for all aspects of the integrated energy system of a mine taking flexible maintenance into consideration. The implementation process thereof is detailed in the embodiment of the method for low-carbon scheduling for all aspects of the integrated energy system of a mine taking flexible maintenance into consideration, which will not be repeated here.

[0147] In a specific embodiment, the superiority of the economic low-carbon optimization scheduling model of the mine integrated energy system proposed in the present invention is verified. Six scenarios are set for comparative analysis, see Table 2.

[0148] Table 2 Different operation scenarios of mine integrated energy system

[0149]

[0150] Note: √ indicates that the scene contains the corresponding model, and × indicates that the scene does not contain the corresponding model.

[0151] Before the adjustment, the maintenance period between the mine and underground was 12:00-14:00 and 11:00-16:00 respectively. The system electricity price and photovoltaic output can be seen in Figure 3 ,The running results of the six scenarios are shown in Table 3.

[0152] Table 3 Comparison of optimization results of six scenarios

[0153]

[0154] Note: Cost unit: 10,000 yuan; Carbon emission unit: ton.

[0155] The software used to perform the case simulation is MATLAB_R2022a configured with the YALMIP toolbox, and the GUROBI solver is called for solving; the simulation platform processor used is AMD R7-6800H, the memory is 16GB, and the operating system is 64-bit Windows 11; the scheduling cycle is 24h, and the scheduling time interval is 1h.

[0156] Compared with scenario 1, scenario 2 optimizes the coal flow and transportation volume, and the virtual energy storage characteristics of the coal bunker are fully released. At this time, the coal bunker flexibly adjusts the coal storage capacity according to the material-energy demand of the system under the guidance of factors such as electricity price and renewable energy output. Figure 4 As shown in Table 3, after the coal quantity in the coal bunker is flexibly adjusted, the total cost of the mine comprehensive energy system is reduced by 6.32%, and the carbon emissions are reduced by 3.85%. It can be seen that the multi-energy coupled mine comprehensive energy system can effectively improve the energy supply level of the mining area and enhance the economic and low-carbon benefits of the system through the flexible adjustment of the flexible control unit.

[0157] Combine Table 3 with Figure 3 , Figure 5,Comparing Scenario 3 with Scenario 1, it can be seen that after optimizing the water tank discharge, the virtual energy storage characteristics of the water tank are fully released. At this time, the drainage pump can make full use of the water tank capacity according to the system load demand and flexibly adjust the water tank discharge, so that the water source heat pump and the drainage pump work during the period of high wind and solar output, which effectively promotes the consumption of renewable energy. At the same time, due to the different carbon emission intensities in different links, under Scenario 3, the gangue power plant can increase its output to meet the energy demand of the mining area. The system greatly reduces the system's electricity and gas purchases at the cost of increasing a small operating cost, thereby reducing the system's energy purchase cost by 4.05%, the total cost by 2.06%, and the carbon emissions by 26.15t.

[0158] Scenario 4 is based on Scenario 1 and optimizes both the coal flow and the water tank drainage. At this time, the system's flexible control resources are affected by factors such as electricity prices and renewable energy output. Figure 3 , giving full play to its flexible adjustment role, reducing the system's carbon emissions by 5.59%, thereby reducing carbon trading costs by 8.19% and total costs by 10.56%.

[0159] Scenario 5 is based on Scenario 4 and takes into account the joint maintenance of uphole and downhole equipment (the uphole maintenance period is within the downhole maintenance period). Figure 3 , Figure 6 It can be seen that after the flexible adjustment of the maintenance period of equipment in different links, the maintenance period of the underground production link is adjusted to the period of 19:00-24:00. At this time, most of the maintenance period is in the period of high electricity prices, and high-energy-consuming equipment such as coal mining machines are shut down for maintenance; while the maintenance period of the above-ground production link is adjusted to the high-electricity price period of 19:00-21:00. At this time, the high-energy-consuming equipment of the coal washing plant does not wash raw coal, which significantly reduces the system's energy purchase cost. As shown in Table 3, the total cost of scenario 5 is reduced by 4.50%, and the carbon emissions are reduced by 4.74%. It can be seen that the flexible adjustment of the maintenance period of different equipment in the production-energy link can effectively improve the economic and low-carbon benefits of the system.

[0160] Depend on Figure 3 , Figure 7 It can be seen that under the time-sharing and classified maintenance strategy, the underground maintenance period is adjusted to the 18:00-23:00 period compared with the 19:00-24:00 period during the joint maintenance, and the maintenance time is more in the high electricity price period; while the maintenance of the production link on the well is no longer restricted by the underground, and the maintenance period on the well is flexibly adjusted to the 04:00-06:00 period according to the energy demand of the system. At this time, the production-energy multi-link multi-belt conveyor is coordinated through the transportation volume, as shown in Figure 8, and coordinate with the coal bunker to meet the washing needs of the coal preparation plant. As shown in Table 3, under the time-sharing and classification maintenance strategy, the total system cost is further reduced by 3,000 yuan, and the carbon emissions are reduced by 5.4 tons. It can be seen that through the flexible adjustment of the flexible control resources in the mining area, the mine comprehensive energy system with multi-energy flow coupling of electricity, heat and gas can give full play to the synergistic role of coal transportation, drainage, maintenance and other links, and further improve the economy and low carbon of the system.

[0161] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0162] In addition, those skilled in the art will understand that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments also means being within the scope of protection of the present invention and forming different embodiments. For example, in the above embodiments, those skilled in the art can use them in combination according to the known technical solutions and the technical problems to be solved by this application.

[0163] The above is only a preferred embodiment of the present invention, and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technician familiar with this patent can make some changes or modify the technical contents suggested above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the solution of the present invention.

Claims

1. A low-carbon scheduling method for all aspects of a mine integrated energy system taking flexible maintenance into consideration, characterized in that: The method steps include: According to the selected mine comprehensive energy system, the types of energy resources in the mining area are sorted out, and combined with the characteristics of the multi-load demand of the mining area, the operating parameters of the mine comprehensive energy system are obtained; According to the operating parameters of the mine comprehensive energy system and combined with the production process of the coal mine, a material-energy coupling topology of the mine comprehensive energy system with coordinated coupling of production, storage, transportation, washing and use is constructed; By extracting the coupling characteristics of all links of coal resources from source mining to load-end utilization, the full-link synergistic mode of production-storage-transportation-washing-use of the mine comprehensive energy system considering production characteristics is obtained, and the full-link synergistic coupling model of coal mine production-storage-transportation-washing-use is abstracted; Based on the synergistic coupling model of coal mine production, storage, transportation, washing and use and the maintenance requirements of multiple types of equipment in the mine comprehensive energy system, a time-sharing and classified maintenance strategy for multiple types of equipment above and below ground in coal mines is formulated, and flexible maintenance constraints for multiple links of above and below ground production and energy use are abstracted; According to the material-energy coupling topology of the mine comprehensive energy system with coordinated coupling of production, storage, transportation, washing and use, the operation parameters of the mine comprehensive energy system, the coordinated coupling model of coal mine production, storage, transportation, washing and use, and the flexible maintenance constraints of multiple links of production and energy use from aboveground to underground, and the comprehensive consideration of the constraints of the associated resource utilization link, carbon emission link, and power balance constraint of the mine comprehensive energy system, and taking the minimum total operating cost of the mine comprehensive energy system as the optimization goal, an economic and low-carbon optimization scheduling model of the production, storage, transportation, washing and use of the mine comprehensive energy system considering flexible maintenance from aboveground to underground is constructed; By constructing an economical and low-carbon optimization scheduling model for the production, storage, transportation, washing and use of the comprehensive energy system of the mine taking into account flexible maintenance both aboveground and underground, the solver is called to solve the problem; the solution results include: total system operating cost, carbon emissions, renewable energy consumption, operating conditions of multi-energy coupling equipment and aboveground and underground maintenance plans.

2. The low-carbon scheduling method for all aspects of a mine integrated energy system considering flexible maintenance according to claim 1 is characterized in that: The production-storage-transportation-washing-use full-link synergy mode of the mine comprehensive energy system considering production characteristics is specifically: First, multiple coal mining faces work together to meet the mine's design and production needs; second, the bottom belt conveyor transports the mined coal resources to the bottom coal bunker for storage; the raw coal bunker serves as a link between the bottom coal bunker and the coal washing plant, and with the help of the belt conveyor, the amount of coal transported in and out can be flexibly adjusted; finally, the coal washing plant transports raw coal into the raw coal bunker for washing and obtains coal products including gangue; the gangue is transported to the gangue bunker for storage and utilization by the gangue belt conveyor, and the remaining coal products are transported to the corresponding coal bunker for storage.

3. The low-carbon scheduling method for all aspects of a mine integrated energy system considering flexible maintenance according to claim 2 is characterized in that: The abstracted synergistic coupling model of coal mine production, storage, transportation, washing and utilization includes: collaborative production constraints of multiple coal mining faces, flexible operation constraints of multiple types of coal bunkers, constraints on coal resource washing and selection, and constraints on gangue resource utilization.

4. The low-carbon scheduling method for all aspects of a mine integrated energy system considering flexible maintenance according to claim 3 is characterized in that: The collaborative production constraints of multiple coal mining faces are expressed as: In the formula, are the coal mining volume and coal mining machine power of coal mining face i in period t; i , They are respectively the electricity consumption of coal i ton at the coal mining face and the coal mine operating coefficient during period t; is the amount of coal transported into the bottom coal bunker by the bottom belt conveyor i during period t; is the coal transport condition coefficient; is the power of the belt conveyor i at the bottom of the well during period t; η B- 、V BC are the conveyor efficiency and belt speed respectively; θ1 and θ2 are coefficients related to the belt conveyor structure respectively; T is the system scheduling cycle; E coal The coal production demand of the mining area within the scheduling period; The flexible operation constraints of the multi-type coal bunkers are expressed as: In the formula, They are the storage capacity of the bottom coal bunker, raw coal bunker and gangue bunker in period t respectively; are the amount of coal transported into the bottom coal bunker by the bottom belt conveyor i during period t, the amount of coal transported into the raw coal bunker by the bottom coal bunker, the amount of coal transported into the coal washing plant by the raw coal bunker, the amount of gangue washed, and the amount of gangue transported out of the gangue bunker; η BC 、V BC are the belt conveyor efficiency and belt speed respectively; θ1 and θ2 are coefficients related to the belt conveyor structure respectively; W l t are the power and transport volume of belt conveyor l (including belt conveyor between coal bunker at the bottom of the pit and raw coal bunker, belt conveyor between raw coal bunker and coal washing plant, and belt conveyor for gangue) in period t; The constraints of the coal resource washing process are expressed as: In the formula, They are the amount of coal, washed gangue, medium coal and clean coal transported from the raw coal bunker to the coal washing plant during period t; λ CPP are the power of the coal preparation plant and the electricity consumption per ton of coal for period t; CG , γ MC , γ CC They are respectively the gangue washing rate, the medium coal washing rate and the clean coal washing rate; are the power and transport volume of belt conveyor m (including belt conveyors for gangue, medium coal and clean coal) in period t respectively; η BC 、V BC are the belt conveyor efficiency and belt speed respectively; θ1 and θ2 are coefficients related to the belt conveyor structure respectively; The constraints of the gangue resource utilization link are expressed as: In the formula, They are the amount of gangue stored in the gangue site, the amount of gangue transported out of the gangue bin and the amount of gangue utilized in period t respectively; They are respectively the power generation and heat generation of the gangue power plant during period t; η GPP,e , η GPP,h , η loss,GPP , μ G They are power generation, heat production efficiency, self-consumption rate of electricity and calorific value of gangue.

5. The low-carbon scheduling method for all aspects of a mine integrated energy system considering flexible maintenance according to claim 1 is characterized in that: The time-sharing and classified maintenance strategy for multiple types of equipment above and below the coal mine is: The coal washing plant and belt conveyor above the mine, the coal mining machine below the mine, and the belt conveyor at the bottom of the mine are regarded as flexible loads; According to the differences in maintenance time of different maintenance links and different types of equipment, the maintenance status of the surface-underground production-energy consumption link is flexibly adjusted; the different maintenance links include: underground maintenance link and surface maintenance link; among them, the underground maintenance link includes the maintenance of the coal mining face coal mining machine and the bottom belt conveyor, the underground maintenance period is 6 consecutive hours, and no coal mining is carried out during the maintenance period; the surface maintenance link includes the maintenance of the belt conveyor after the bottom coal bunker and the coal washing plant, the surface maintenance is 3 consecutive hours, and the equipment stops working during the maintenance period; Through the coordination of surface and underground production plans, the mine's integrated energy system fully responds to renewable energy output and peak-valley electricity price policies.

6. The method for low-carbon scheduling of all aspects of a mine integrated energy system taking flexible maintenance into consideration according to claim 5 is characterized in that: The flexible maintenance constraints of the above-ground-underground production-energy consumption multi-links include: flexible maintenance constraints of underground equipment and flexible maintenance constraints of above-ground equipment, wherein: The flexible maintenance constraint of downhole equipment is expressed as: In the formula, is the equipment maintenance state variable of the underground production link during period t, 0 means maintenance, and 1 means working; State variables introduced to ensure continuous maintenance of downhole equipment; The flexible maintenance constraint of the well equipment is expressed as: In the formula, are the power and transport volume of belt conveyor k (including the belt conveyor after the coal bunker at the bottom of the mine) in the production link at time t; is the maintenance status of the equipment in the well production link during period t, 0 means maintenance, and 1 means working; State variables are introduced to ensure continuous maintenance of equipment on the well.

7. The method for low-carbon scheduling of all aspects of a mine integrated energy system considering flexible maintenance according to claim 6 is characterized in that: The maintenance period constraint of the coal mining face in the flexible maintenance constraint of underground equipment is linearly expressed as follows: In the formula, Auxiliary variable introduced for the linearization process; ε i,max , ε i,min They are the upper and lower limits of coal mining machine power respectively.

8. The method for low-carbon scheduling of all aspects of a mine integrated energy system considering flexible maintenance according to claim 1 is characterized in that: The optimization goal is to minimize the total operating cost of the mine comprehensive energy system, which is expressed as: minC=min(C1+C2+C3+C4) Where: C is the total cost of the mine comprehensive energy system during the dispatching period; C1, C2, C3, and C4 are the system energy purchase cost, abandoned light cost, carbon trading cost, and equipment operation cost, respectively; is the electricity price during period t; buy is the gas purchase price; is the gas purchasing power in period t; μ q is the light abandonment penalty coefficient; μ T It is the base price for carbon trading; is the predicted photovoltaic output during period t; μ GPP , μ CPP , μ CM , μ BC They are the operating cost coefficients of gangue power plant, coal washing plant, coal mining machine and belt conveyor respectively.

9. The low-carbon scheduling method for all aspects of a mine integrated energy system considering flexible maintenance according to claim 1 is characterized in that: The associated resource utilization constraints are: Where: are the electrical and thermal power output of the gas turbine during period t respectively; η GT , η loss,GT are the energy conversion efficiency and heat loss coefficient of the gas turbine respectively; is the coalbed methane concentration during period t; is the calorific value of natural gas; is the coalbed methane flow rate during period t; The thermal power output of the thermal storage oxidation device during period t; η RTO The energy conversion efficiency of the thermal storage oxidation device; is the lack of wind concentration during period t; is the lack of wind flow rate during period t; is the water storage capacity of the water tank during period t; are the water inflow and outflow of the water tank during period t; V WS,min 、V WS,max They are the upper and lower limits of water storage capacity in the water tank respectively; is the drainage pump power during period t; η WP is the drainage pump efficiency; ψ is the mine water density; τ is the surplus coefficient; D is the pump head; is the thermal power output of the water source heat pump during period t; η WSHP is the heating coefficient of the water source heat pump; is the power consumption of the water source heat pump during period t; COP WSHP is the energy efficiency coefficient of the water source heat pump. The carbon emission constraints are: Where: is the carbon emissions generated by the system during period t; are the carbon emissions generated by the gas turbine, thermal storage oxidation device, gas boiler, gangue power plant, and mine electricity purchase during period t; κ GT , κ RTO , κ GB , κ GPP , κ buy are the carbon emission intensity of gas turbine, thermal storage oxidizer, gas boiler, gangue power plant and mine electricity purchase in period t; is the heating power of the gas boiler during period t; is the power purchased by the mine during period t; Free carbon quota for the system; are the free carbon quotas of thermal storage oxidation device, gas boiler, gangue power plant and mine purchased electricity in period t; v RTO 、v GB 、v GPP 、v buy They are free carbon emission quotas for thermal storage oxidation devices, gas boilers, gangue power plants, and mine electricity purchases. The power balance constraint is: Where: is the renewable energy power consumed by the system during period t; They are the charging and discharging power of the battery during period t respectively; is the total power consumption of the above-ground and underground multi-link belt conveyor during period t; is the total power consumption of the coal mining machine during period t; They are respectively the mine electrical load and thermal load in period t.

10. A low-carbon dispatching system for all aspects of a mine integrated energy system taking flexible maintenance into consideration, characterized in that: The system comprises: The operation parameter acquisition module is used to sort out the types of energy resources in the mining area according to the selected mining comprehensive energy system, and combine the characteristics of the multi-load demand of the mining area to obtain the operation parameters of the mining comprehensive energy system; The topology building module is used to combine the operating parameters of the mine comprehensive energy system with the production process of the coal mine to build a material-energy coupling topology of the mine comprehensive energy system with coordinated coupling of production, storage, transportation, washing and use; The full-link synergistic coupling model module is used to extract the full-link coupling characteristics of coal resources from source mining to load utilization, derive the full-link synergistic mode of production-storage-transportation-washing-use of the mine comprehensive energy system considering production characteristics, and abstract the full-link synergistic coupling model of coal mine production-storage-transportation-washing-use; The flexible maintenance constraint module for multiple links of above-ground and underground production and energy consumption is used to formulate a time-sharing and classified maintenance strategy for multiple types of equipment in coal mines based on the coordinated coupling model of coal mine production, storage, transportation, washing and use and the maintenance requirements of multiple types of equipment in the mine comprehensive energy system, and abstract the flexible maintenance constraints for multiple links of above-ground and underground production and energy consumption; The module for constructing the economic and low-carbon optimization scheduling model of all links is used to construct the economic and low-carbon optimization scheduling model of all links of the mine comprehensive energy system, which takes into account the material-energy coupling topology of the mine comprehensive energy system with coordinated coupling of all links of production, storage, transportation, washing and use, the operating parameters of the mine comprehensive energy system, the coordinated coupling model of all links of coal mine production, storage, transportation, washing and use, and the flexible maintenance constraints of multiple links of production and energy use from aboveground to underground, and comprehensively considers the constraints of the link of associated resource utilization, the link of carbon emission, and the power balance constraints of the mine comprehensive energy system, and takes the minimum total operating cost of the mine comprehensive energy system as the optimization goal, and constructs the economic and low-carbon optimization scheduling model of all links of the mine comprehensive energy system with flexible maintenance from aboveground to underground; The solution module is used to call the solver for solving the economic low-carbon optimization scheduling model of production-storage-transportation-washing-use of the comprehensive energy system of the mine that takes into account flexible maintenance both aboveground and underground. The solution results include: total system operating cost, carbon emissions, renewable energy consumption, operating conditions of multi-energy coupling equipment and aboveground-underground maintenance plan.

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