Multi-stage planning method and system for integrated energy system in mines based on unified modeling

Abstract

The present invention discloses a multi-stage planning method and system for a mine comprehensive energy system based on unified modeling. The present invention combines the coal mineral production process to construct a material-energy coupling topology of a mine comprehensive energy system that considers coal material production; according to the connection between coal mine production and associated resource output, the key factors affecting the associated resource output are extracted to construct a unified modeling method for coal production and associated resources. Based on this method, the evolution law of mining area resources caused by coal time-series mining and geological changes is explored, and a system multi-stage planning model is constructed with the goal of minimizing the operating cost of the mine's full life cycle planning. The multi-stage planning scheme of the mine is obtained by calling the relevant mathematical solver for solution. This method solves the problem of information acquisition and prediction difficulties caused by changes in geological conditions and coal mining volume in the source end associated resources during the planning process of the mine comprehensive energy system, and lays the foundation for the long-term economic and reliable operation of the mine comprehensive energy system with time-series resource evolution.

Description

Technical Field

[0001] The present invention relates to the field of mine integrated energy system planning, and in particular to a multi-stage planning method and system for a mine integrated energy system based on unified modeling. Background Art

[0002] As the main energy source in my country, the dominant position of coal will not change for quite a long time. However, due to the negligence of enterprises in coal production, coal and its associated resources have been wasted. How to efficiently utilize coal resources and reduce environmental pollution in the production and consumption of coal resources is a key research issue under the current dual-carbon goal. The mine comprehensive energy system integrates various resources distributed in coal mines and accurately matches energy production at the source end and energy consumption at the load end, so as to achieve efficient utilization of energy and reduce energy waste, while reducing environmental pollution and carbon emissions. In addition, the mine comprehensive energy system can also realize the diversified supply and complementary assistance of coal mine energy, and improve the stability and reliability of energy supply. Therefore, the mine comprehensive energy system is one of the important ways to achieve low-carbon energy supply and sustainable development of coal mines.

[0003] Coal production will generate a large amount of associated resources. According to data, the output of coalbed methane will reach 11.549 billion m3 in 2022 alone. 3 , water output reaches 6.5 billion m 3 , and the output of associated resources is still on the rise. How to give full play to the potential of associated resources, reduce the pollution directly emitted by associated resources, and realize the transformation of coal into clean energy is a common concern of the current society. However, the output of associated resources of coal will change with coal mining, geological changes, etc. The traditional mine integrated energy system only deals with the uncertainty of associated resources from the perspective of data analysis, but the operation scenarios of coal mines are complex and changeable. How to reasonably characterize the output characteristics of associated resources is an important issue to be studied in the mine integrated energy system. In addition, the benefits of mine integrated energy system planning depend on the quality of coal mine source-load resource information obtained. A more accurate assessment of the output of associated resources of coal can significantly improve the efficiency of mine resource utilization, avoid unnecessary equipment investment, and thus reduce coal mine operating costs.

[0004] At present, the coal associated energy production data used in the scheduling and planning of mine integrated energy systems are mostly incomplete records and empirical estimated data. There is no method of estimating the associated resource production by using a mechanism modeling method to establish a unified model of associated resources from the perspective of coal production, nor is there a means of conducting medium- and long-term planning for coal mine integrated energy systems based on the temporal evolution of mine resources. Summary of the invention

[0005] The purpose of the present invention is to provide a multi-stage planning method and system for a mine integrated energy system based on unified modeling, which is used to solve the problem of information acquisition / prediction difficulties caused by changes in source-end associated resources with geological conditions and coal mining volume during the planning of the mine integrated energy system, and lay the foundation for the long-term economic and reliable operation of the mine integrated energy system with time-series evolution of resources.

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

[0007] The present invention provides a multi-stage planning method for a mine integrated energy system based on unified modeling, the method steps comprising:

[0008] According to the selected mine comprehensive energy system, by analyzing the types of coal mine energy resources, energy consumption types and historical energy consumption data, combined with the coal mine production links, the coupling relationship between the coal production process, the recycling and utilization of associated resources, and the coal mine electricity-heat-cold multi-energy transmission is obtained, and the material-energy coupling topology of the mine comprehensive energy system considering coal production is constructed;

[0009] Extract the key parameters that affect the output of coal-associated resources, unify the resource output formulas of coalbed methane, wind deficiency, and water inflow, and build a unified model of associated resource output based on key parameters of coal mining; the key parameters include coal production and geological parameters;

[0010] Using the unified model of associated resource output, the impact of coal mining and geological changes in coal mines on the production of coalbed methane, wind deficiency, and water inflow is analyzed, and the temporal evolution law of resources in different mining stages of the mine comprehensive energy system is obtained;

[0011] According to the material-energy coupling topology of the mine comprehensive energy system, system equipment parameters, the unified model of coal associated resource output, and the temporal evolution law of resources in different mining stages of the mine comprehensive energy system, a multi-stage planning model of the mine comprehensive energy system is constructed with the goal of minimizing the annual planning cost of the mine;

[0012] By establishing a multi-stage planning model for a comprehensive mining energy system, a solver is called to solve the problem; the solution results include: system planning schemes at different stages and planned operating costs.

[0013] In one embodiment, when the selected mine comprehensive energy system is an underground coal mine, the material-energy coupling topology of the mine comprehensive energy system includes two main parts: aboveground and underground. The underground part includes coal production and transmission and associated resource output links, and the aboveground part includes associated resource recycling and utilization and electricity-heat-cold transmission coupling links.

[0014] In one embodiment, the key parameters affecting the output of coal associated resources are extracted based on the material-energy coupling topology of the mine comprehensive energy system, system equipment parameters, and the coupling relationship between coal production and associated resource output, combined with the engineering calculation formula of coal associated resources.

[0015] In one embodiment, the model includes a coalbed methane production model, a ventilation production model, and a water inflow production model.

[0016] In one embodiment, the coalbed methane production model is expressed as:

[0017]

[0018]

[0019] Where: L1 and L2 are the width of the mining area and the length of the mining working face respectively; M is the average thickness of the pre-drained coal seam; γ is the apparent density of coal; M C Coal reserves for mining coal seams; is the coal mining volume of the coal mining machine at time i; a1, a2, a3, a4, b1, c1, d1 are constant coefficients, which are related to the geological conditions of coal mining; are the gas extraction volumes of the mined coal seam, adjacent layer, and goaf at time t, respectively; is the total amount of gas that can be extracted from the coal mine at time t; Q t is the coalbed methane extraction volume at time t;

[0020] The ventilation output model is expressed as:

[0021]

[0022] Where: V t is the ventilation volume of the main fan at time t; a5 is the ventilation correlation coefficient; They are the planned ventilation volume of the mine at time t, the required air volume of the mining face, and the required air volume of other places underground; K CH4 It is the unbalanced ventilation coefficient of gas outburst at the mining face; q1 and q2 are the relative gas emission in the return air lane of the mining face, the relative gas emission in the mining layer, and the relative gas emission in the adjacent layer, respectively; is the coal mining volume of the coal mining machine at time i; T is the total scheduling time of the system; Δt is the time interval; c2 and d2 are constants, which are related to the geological conditions of the coal mine;

[0023] The water production model is expressed as:

[0024]

[0025] Where: Gt is the mine drainage volume entering the underground water tank at time t; k p is the water-rich coefficient, which is the ratio of the annual water inflow to the annual coal production in the mine; k q is the correlation coefficient of shearer spray dust removal; is the coal mining volume of the coal mining machine at time t; t1 and t2 are the start and end times of the maintenance period respectively; c3 is k p and k q The sum of , d3 is a constant.

[0026] In one embodiment, the temporal evolution laws of different mining stages include: the migration / construction laws of coal mining working faces under continuous coal mining, the change laws of coal associated resource output, and the change laws of coal mine electricity, heat, and cooling loads.

[0027] In one embodiment, the temporal evolution law of the resources of the mine comprehensive energy system is expressed as:

[0028]

[0029] Where: Q m,n,t 、V m,n,t , G m,n,t They are the coalbed methane extraction volume, main fan ventilation volume, and mine drainage volume entering the underground water tank at time t in the nth typical production day scenario in stage m; c1, c2, c3, d1, d2, and d3 are constants related to the geological conditions of coal mining. τ 1m , τ 2m , τ 3m , σ 1m , σ 2m , σ 3m is the change of geological parameters; They are the coal mining volume of the shearer at time i and time t in the nth typical production day scenario in stage m; t1 and t2 are the start and end times of the maintenance period, respectively.

[0030] In one embodiment, the multi-stage planning model of the integrated energy system of a mine also includes operation constraints related to the utilization of coal associated resources, operation constraints of other equipment in the system, and power balance constraints.

[0031] In one embodiment, the operation constraints related to the utilization of coal associated resources are expressed as:

[0032]

[0033] Where: is the output thermal power of the thermal storage oxidation device at time t in the nth typical production day scenario in stage m; η RTO is the heat conversion efficiency of the thermal storage oxidation device; is the gas concentration in the exhaust air at time t in the nth typical production day scenario in stage m; C CH4 V is the lower calorific value of gas; m,n,t The ventilation volume of the main fan at time t in the nth typical production day scenario in stage m; are the water volume in the underground water tank at time t and t-1 in the nth typical production day scenario in stage m; G m,n,t is the mine drainage volume entering the underground water tank at time t in the nth typical production day scenario in stage m; is the amount of water pumped from the underground water tank by the water source heat pump at time t in the nth typical production day scenario of stage m; is the cooling power of the water source heat pump at time t in the nth typical production day scenario in stage m; η WSHP is the refrigeration correlation coefficient of the water source heat pump; is the gas flow rate injected into the gas turbine at time t in the nth typical production day scenario of stage m; is the gas flow rate of gas produced by power-to-gas conversion at time t in the nth typical production day scenario of stage m, which is mixed with gas; Q is the gas release volume of the underground gas storage at time t in the nth typical production day scenario of stage m; m,n,t is the coalbed methane extraction volume at time t in the nth typical production day scenario in stage m; is the gas concentration injected into the gas turbine at time t in the nth typical production day scenario of stage m; is the concentration of gas produced by the power-to-gas conversion at time t in the nth typical production day scenario of stage m; It is the gas concentration in the coalbed methane extracted at time t in the nth typical production day scenario in stage m.

[0034] The present invention also provides a multi-stage planning system for a mine integrated energy system based on unified modeling, the system comprising:

[0035] The topology construction module is used to construct the material-energy coupling topology of the mine comprehensive energy system considering coal production by analyzing the types of coal mine energy resources, energy consumption types and historical energy consumption data, and combining the coal mine production links to derive the coupling relationship between the coal production process, the associated resource recycling and utilization methods, and the coal mine electricity-heat-cold multi-energy transmission;

[0036] The module for constructing a unified model of associated resource output is used to extract the key parameters that affect the output of coal associated resources, unify the resource output formulas of coalbed methane, lack of wind, and water inflow, and construct a unified model of associated resource output based on the key parameters of coal mining; the key parameters include coal output and geological parameters;

[0037] The time series evolution law setting module is used to use the associated resource output uniformity model to analyze the impact of coal time series mining and coal mine geological changes on coalbed methane, wind deficiency, and water inflow production, and to derive the time series evolution law of resources in different mining stages of the mine comprehensive energy system;

[0038] The module for constructing a multi-stage planning model for a mine comprehensive energy system is used to construct a multi-stage planning model for a mine comprehensive energy system based on the material-energy coupling topology of the mine comprehensive energy system, system equipment parameters, the unified model of coal associated resource output, and the temporal evolution law of the mine comprehensive energy system, with the goal of minimizing the annual planning cost of the mine;

[0039] The solution module is used to call the solver to solve the established multi-stage planning model of the mine comprehensive energy system; the solution results include: system planning schemes at different stages and planned operating costs.

[0040] Beneficial effects of the present invention:

[0041] The present invention combines the coal mineral production process to construct a material-energy coupling topology of a mine comprehensive energy system that considers coal material production; according to the connection between coal mine production and associated resource output, the key factors that affect the output of associated resources are extracted, and a unified modeling method for coal production and associated resources is constructed; based on this method, the evolution law of mining area resources caused by coal time-series mining and geological changes is explored, and a system multi-stage planning model is constructed with the goal of minimizing the operating cost of the mine's full life cycle planning, and the multi-stage planning scheme of the mine is obtained by calling the relevant mathematical solver for solution. The present invention can extract the key factors that affect the generation of associated resources according to my country's current coal mine industry standards, construct a unified model for the output of coal associated resources, predict the output of coal associated resources, and formulate a multi-stage planning and operation scheme for the mine comprehensive energy system according to the law of mine time-series evolution. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] 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.

[0043] Figure 1 A flow chart of a multi-stage planning method for a mine integrated energy system based on unified modeling provided by an embodiment of the present invention;

[0044] Figure 2 A material-energy coupling topology of a mine integrated energy system provided by an embodiment of the present invention;

[0045] Figure 3 A schematic diagram of the time-series evolution of resources in a mine comprehensive energy system provided by an embodiment of the present invention;

[0046] Figure 4 Three typical production day scene data (stage 1) provided for a specific embodiment of the present invention; wherein, Figure 4 (a) shows the coal mining volume in three typical scenarios in stage 1; Figure 4 (b) The power demand for three typical scenarios in phase 1; Figure 4 (c) Thermal power requirements for three typical scenarios in phase 1; Figure 4 (d) shows the cooling power requirements for three typical scenarios in phase 1; Figure 4 (e) is the predicted PV output for three typical scenarios in phase 1; Figure 4 (f) is the predicted wind turbine output for three typical scenarios in stage 1;

[0047] Figure 5 The calculated value and actual value of the coal associated resource output provided by a specific embodiment of the present invention; wherein, Figure 5 (a) is the calculated value and actual value of coalbed methane; Figure 5 (b) The calculated and actual values ​​of the ventilation air; Figure 5 (c) The calculated and actual values ​​of water inflow;

[0048] Figure 6 The associated resource output under different mining scenarios in the same stage is provided by a specific embodiment of the present invention; wherein, Figure 6 (a) is the production of coalbed methane under different mining scenarios in the same stage; Figure 6 (b) is the output of wind-deficient mining under different mining scenarios in the same stage; Figure 6 (c) is the water yield under different mining scenarios in the same stage;

[0049] Figure 7 The associated resource output in the same mining scenario at different stages provided by a specific embodiment of the present invention; Figure 7 (a) is the production of coalbed methane in the same mining scenario at different stages; Figure 7 (b) is the output of wind-deficient mining in the same mining scenario at different stages; Figure 7 (c) is the water yield under the same mining scenario at different stages.

[0050] 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

[0051] The following is a detailed description of a multi-stage planning method for a mine integrated energy system based on unified modeling proposed by the present invention in conjunction with the embodiments and drawings.

[0052] The present invention provides a multi-stage planning method for a mine integrated energy system based on unified modeling, such as Figure 1As shown, the following steps are included:

[0053] Step 100: Based on the selected mine comprehensive energy system, by analyzing the types of coal mine energy resources, energy consumption types and historical energy consumption data, combined with the coal mine production links, the coupling relationship between the coal production process, the associated resource recycling and utilization methods, and the coal mine electricity-heat-cold multi-energy transmission is obtained, and the material-energy coupling topology of the mine comprehensive energy system considering coal production is constructed.

[0054] After analyzing the types of coal mine energy resources, coal mine energy resources are divided into three categories according to their nature and generation methods: conventional resources, coal-associated resources and other resources. Conventional resources include solar energy, wind energy, etc.; coal-associated resources include coal gangue, coalbed methane, wind deficiency, and water gushing; other resources include underground space resources.

[0055] Furthermore, when the selected mine integrated energy system is an underground coal mine, the material-energy coupling topology of the mine integrated energy system is mainly divided into two parts: aboveground and underground. The underground part includes coal production and transmission and associated resource output links, and the aboveground part includes associated resource recycling and utilization and electricity-heat-cold transmission coupling links.

[0056] Specifically, taking underground coal mines as an example, the energy types used in coal mines mainly include electricity, cooling, heat, and gas. According to the analysis of historical energy consumption data, coal mines mainly consume electricity, and the load in the production area accounts for more than 90% of the total electricity load; the heat load demand mainly includes shaft antifreeze, heating and hot water supply; the cooling load mainly includes underground cooling, building cooling, etc. In the process of coal mining, a large amount of associated resources that can be used for production and life will be produced. The coal production link is closely related to the output of associated resources. For example, a certain proportion of coal gangue exists in the raw coal, and a small amount of gas is mixed in the mine ventilation. This part of the associated resources can be converted into electricity, heat, and cooling energy that can be used in coal mines through corresponding energy conversion devices. According to the coal production process, the recycling and utilization methods of associated resources, and the coupling relationship between electricity, heat, and cold multi-energy transmission, a material-energy coupling topology of the mine comprehensive energy system considering coal production is constructed, such as Figure 2 shown.

[0057] In the coal production and transmission link, coal mined from different working faces is transported to the coal seam at the bottom of the well for temporary storage by belt conveyors, and then transported to the raw coal bunker by belt conveyors. In the associated resource output link, coal mining produces coal gangue, coalbed methane, lack of wind and gushing water, which are associated coal resources. In the associated resource recycling link, associated resources are transported to gangue generator sets, gas turbines, thermal storage oxidation devices, and water source heat pumps by belt conveyors, gas extraction pumps, main fans, and water pumps for energy recovery and utilization, which can convert associated resources into electricity, heat, and cold energy that can be used for coal production and life. In the coupling link of electricity-heat-cold energy transmission, the system's electric energy is provided by wind turbines, photovoltaics, power grids, gas turbines and gangue generator sets. The surplus wind and solar resources will be converted by the power-to-gas device into high-concentration gas and mixed with coalbed methane containing low-concentration gas. The mixing flow rate will be adjusted through the underground gas storage to balance the power generation of the gas turbine. The system's thermal energy is converted by the waste heat boiler absorbing the waste heat of the gangue generator set, gas turbine and thermal storage oxidation device, and a heat storage tank is configured to balance the system's heat demand. The system's cold energy is provided by absorption chillers and water source heat pumps.

[0058] Step 200: Extract the key parameters that affect the output of coal associated resources, unify the resource output formulas of coalbed methane, wind deficiency, and water inflow, and construct a unified model for associated resource output based on key parameters of coal mining.

[0059] Furthermore, the key parameters that affect the output of coal associated resources are extracted based on the material-energy coupling topology of the mine integrated energy system, system equipment parameters, and the coupling relationship between coal production and associated resource output, combined with the engineering calculation formula of coal associated resources.

[0060] Specifically, based on the material-energy coupling topology of the mine comprehensive energy system, system equipment parameters, and the coupling relationship between coal production and associated resource output provided in step 100, combined with relevant engineering calculation formulas for coal associated resources, the key parameters affecting the output of coal associated resources are extracted, and the resource output formulas of coalbed methane, wind deficiency, and water gushing are unified through formula transformation, so as to construct a unified associated resource output model based on the key parameters of coal mining.

[0061] Gas extraction is the process of extracting gas from underground coal seams, upper and lower adjacent layers, goafs and other areas to the ground through a pipeline network. It is mainly composed of a pipeline system (main pipeline, branch pipeline, etc.), control valves, water ring vacuum pumps, and auxiliary devices (explosion-proof suppression devices, anti-backfire devices, etc.).

[0062] In an embodiment of the present application, the model includes a coalbed methane production model, a ventilation production model, and a water gushing production model.

[0063] Furthermore, a unified model of associated resource output based on key parameters of coal mining is constructed, and the coalbed methane output model is expressed as:

[0064] Q e =((K1K c L1L2Mγ(W0-W1)) / 8760Δt (1)

[0065] Q n =((K1L3L4γ∑ j m j (W 0j -W cj )η j ) / 7920×K y (2)

[0066] Q g1 =(M C W0k1k2k3(W0-W c )) / 8760W0) (3)

[0067] Q g =K g (Q g1 -Q e ) (4)

[0068]

[0069] Where: Q e , Q n , Q g are the gas extraction volumes of the mined coal seam, adjacent layer, and goaf respectively; Q g1 is the total amount of gas that can be extracted from the coal mine; K1, K c are respectively the gas extraction imbalance coefficient, the ratio of the pre-extraction volume of the coal seam during the working face recovery period to the extraction volume during the pre-extraction period; L1, L2, L3, L4 are respectively the width of the working face recovery area, the length of the recovery working face, the width of the recovery working face, and the annual advancement length of the recovery working face; m j , η j are the coal thickness and gas emission rate of the jth adjacent layer respectively; K y is the gas extraction rate of the adjacent layer; M is the average thickness of the pre-extracted coal seam; γ is the apparent density of coal; W0, W c and W1 are the original gas content of the coal seam, the residual gas content of the coal seam, and the pre-extraction gas content that meets the standard; W 0j , W cj are the original gas content and residual gas content of the jth adjacent coal seam respectively; K g is the correlation coefficient; M C is the coal reserves of the mined coal seam; k1 is the negative pressure extraction coefficient; k2 is the expected extraction rate of coal seam gas; k3 is the underground emission rate of coal seam gas. is the coal mining volume of the coal mining machine at time i; a1, a2, a3, a4, b1, c1, d1 are constant coefficients, which are related to the geological conditions of coal mining; are the gas extraction volumes of the mined coal seam, adjacent layer, and goaf at time t, respectively; is the total amount of gas that can be extracted from the coal mine at time t.

[0070] Among them, equations (1) to (4) are gas extraction models already in the national standard, and equations (6) to (10) are unified models of gas extraction obtained after transformation of equation (5).

[0071] Taking extraction ventilation as an example, after the fresh air flows through the air inlet shaft to various air-using locations underground, the polluted air containing a small amount of gas is discharged to the ground through the main fan. This part of the air discharged to the ground is called mine ventilation, also called exhaust air. Due to the high wind speed and flow rate, it is difficult to store it and needs to be directly used through a thermal storage oxidation device. The ventilation volume of the main fan is related to the air volume required by the mine, among which the air volume required by the mine is related to underground production links such as mine gas outburst.

[0072] Furthermore, a unified model of associated resource output based on key parameters of coal mining is constructed, and the ventilation output model is expressed as:

[0073]

[0074] Where: Vt is the ventilation volume of the main fan at time t; a5 is the ventilation correlation coefficient; They are the planned ventilation volume of the mine at time t, the required air volume of the mining face, and the required air volume of other places underground; K CH4 It is the unbalanced ventilation coefficient of gas outburst at the mining face; q1 and q2 are the relative gas outburst volume in the return air lane of the mining face, the relative gas outburst volume of the mining layer, and the relative gas outburst volume of the adjacent layer, respectively; T is the total scheduling time of the system; Δt is the time interval; Kk1, Kk2, and Kk3 are the gas outburst coefficient of the surrounding rock, the gas outburst coefficient of coal loss in the working face, and the influence coefficient of pre-drainage of gas in the preparation tunnel in the mining area on the gas outburst of the mining layer, respectively; mk is the thickness of the mining layer; c2 and d2 are constants, which are related to the geological conditions of the coal mine.

[0075] The difference between formula (17) and formula (10) is that the ventilation volume of the main fan, i.e., the value of the exhaust air, is related to the coal production in the total scheduling period, while the gas extraction volume is related to the coal production at the previous time t.

[0076] Mine drainage mainly comes from mine water inrush and underground water. Mine water inrush and underground water are collected by water pumps and then temporarily stored in underground water tanks for use when needed by water source heat pumps. Mine water inrush is related to the hydrogeological conditions of the coal mine. The amount of mine water inrush does not change much within a day and can be regarded as a constant during the maintenance period. The water used in the underground water is mostly used in the spray dust removal process of the coal mining process of the coal mining machine, and the water used for spray dust removal is closely related to the amount of coal mined by the coal mining machine.

[0077] Furthermore, a unified model of associated resource output based on key parameters of coal mining is constructed, and the water inflow output model is expressed as:

[0078]

[0079] Where: G t is the mine drainage volume entering the underground water tank at time t; k p is the water-rich coefficient, which is the ratio of the annual water inflow to the annual coal production in the mine; k q is the correlation coefficient of coal mining machine spray dust removal; t1 and t2 are the start and end time of the maintenance period respectively; c3 is k p and k q The sum of , d3 is a constant.

[0080] Step 300: Utilize the associated resource output uniformity model to analyze the impact of coal mining sequence and coal mine geological changes on the production of coalbed methane, wind exhaustion, and water inrush, and derive the time-series evolution law of resources in different mining stages of the mine comprehensive energy system.

[0081] Furthermore, the temporal evolution laws of different mining stages include the migration / construction law of coal mining faces under continuous coal mining, the change law of coal associated resource output, and the change law of coal mine electricity-heat-cooling load.

[0082] The temporal evolution law of resources in the integrated energy system of mines is as follows: Figure 3 As shown in the figure, in the actual mining scenario, coal seams can be divided into mined coal seams, planned mining coal seams and to-be-planned coal seams. With the change of mining depth and the migration of coal mining working faces, the geological environment and spatial form of coal seams will change, bringing about changes in associated resources and loads. This change in the source-load form of coal mines caused by the sequential mining of coal is the key to affecting the output of coal associated resources and the planning of the comprehensive energy system of mines.

[0083] Furthermore, the evolution law of associated resources can be expressed as:

[0084]

[0085] Where: Q m,n,t 、V m,n,t , G m,n,tThey are the coalbed methane extraction volume, main fan ventilation volume, and mine drainage volume entering the underground water tank at time t in the nth typical production day scenario in stage m; c1, c2, c3, d1, d2, and d3 are constants related to the geological conditions of coal mining. τ 1m , τ 2m , τ 3m , σ 1m , σ 2m , σ 3m is the change of geological parameters; They are the coal mining volume of the shearer at time i and time t in the nth typical production day scenario in stage m; t1 and t2 are the start and end times of the maintenance period, respectively.

[0086] Therefore, in the process of planning the integrated energy system of mines, it is necessary to consider the changes in coal associated resources caused by the sequential mining of coal and carry out multi-stage planning of the integrated energy system of mines.

[0087] Step 400: Based on the material-energy coupling topology of the mine comprehensive energy system, system equipment parameters, the unified model of coal associated resource output, and the temporal evolution law of resources in different mining stages of the mine comprehensive energy system, a multi-stage planning model of the mine comprehensive energy system is constructed with the goal of minimizing the annual planning cost of the mine.

[0088] Specifically, based on the mine comprehensive energy system topology and system equipment parameters provided in step 100, the coal associated resource output uniformity model provided in step 200, and the mine comprehensive energy system time series evolution law provided in step 300, a multi-stage planning model of the mine comprehensive energy system is constructed with the goal of minimizing the annual planning cost of the mine.

[0089] Furthermore, the multi-stage planning model of the mine comprehensive energy system with the goal of minimizing the annual planning cost of the mine can be expressed as:

[0090] R j =(1+r) -j (twenty three)

[0091] minC tot =C inv +C ope (twenty four)

[0092]

[0093] C ope =C ele +C main +C aba +C gas (26)

[0094]

[0095] Where: R j is the present value coefficient of the jth year; j is the number of years from the year of cost generation to the initial year of the planning period; r is the discount rate; C tot is the total cost of the whole planning cycle; C inv is the total equipment investment cost; C ope is the total operating cost; N sta N is the number of system planning stages; equ The number of equipment types planned for the system; S m is the mth planning stage, is the present value coefficient of the initial year of the mth planning stage; The number of k-th equipment planned for the m-th stage; C k is the unit capacity investment cost of the kth equipment; P k is the rated power of the kth device; C ele is the total cost of electricity purchase; C main is the total cost of equipment operation and maintenance; C aba C is the total cost of wind and solar power abandonment; gas is the total gas purchase cost; N year N is the number of years of the planning cycle; sce is the number of typical scene types; N n is the number of days of the nth typical scenario in a year; The system power purchase amount at time t in the nth typical production day scenario in the jth year; is the electricity price at time t; μ k is the unit operation and maintenance cost of the kth type of equipment; is the equipment power at time t in the nth typical production day scenario in the jth year; k PV , k WT are the penalty coefficients for system abandonment of solar power and wind power respectively; are the abandoned solar and wind powers at time t in the nth typical production day scenario in the jth year; is the initial capacity of the underground gas storage under the nth scenario in the jth year; p G For natural gas prices.

[0096] In an optional embodiment, the multi-stage planning model of the integrated energy system of a mine also includes: considering respectively the operating constraints related to the utilization of coal associated resources, the operating constraints of other equipment in the system, and the power balance constraints.

[0097] Furthermore, the operational constraints related to the utilization of coal associated resources are expressed as:

[0098]

[0099] Where: is the output thermal power of the thermal storage oxidation device at time t in the nth typical production day scenario in stage m; η RTO is the heat conversion efficiency of the thermal storage oxidation device; is the gas concentration in the exhaust air at time t in the nth typical production day scenario in stage m; C CH4 V is the lower calorific value of gas; m,n,t The ventilation volume of the main fan at time t in the nth typical production day scenario in stage m; are the water volume in the underground water tank at time t and t-1 in the nth typical production day scenario in stage m; G m,n,t is the mine drainage volume entering the underground water tank at time t in the nth typical production day scenario in stage m; is the amount of water pumped from the underground water tank by the water source heat pump at time t in the nth typical production day scenario of stage m; is the cooling power of the water source heat pump at time t in the nth typical production day scenario in stage m; η WSHP is the refrigeration correlation coefficient of the water source heat pump; is the gas flow rate injected into the gas turbine at time t in the nth typical production day scenario of stage m; is the gas flow rate of gas produced by power-to-gas conversion at time t in the nth typical production day scenario of stage m, which is mixed with gas; Q is the gas release volume of the underground gas storage at time t in the nth typical production day scenario of stage m; m,n,t is the coalbed methane extraction volume at time t in the nth typical production day scenario in stage m; is the gas concentration injected into the gas turbine at time t in the nth typical production day scenario of stage m; is the concentration of gas produced by the power-to-gas conversion at time t in the nth typical production day scenario of stage m; It is the gas concentration in the coalbed methane extracted at time t in the nth typical production day scenario in stage m.

[0100] Furthermore, the operating constraints of other devices in the system can be expressed as:

[0101]

[0102] Where: They are the power of the kth power generation, heating and cooling equipment at time t in the mth stage and nth scenario; are the maximum values ​​of the power of the kth type of power generation, heating and cooling equipment in stage m respectively; They are the lower limits of the ramping power of the kth power generation, heating and cooling equipment in stage m respectively; They are the upper limits of the climbing power of the kth type of power generation, heating and cooling equipment in stage m respectively; They are the storage, injection, and release power of the kth energy storage device at time t in the m-stage n-scenario; is a 0 / 1 variable, which represents the on / off status of the energy storage device at time t in the m-stage n-scenario, 0 represents off and 1 represents on; They are the minimum injection power, maximum injection power, minimum release power and maximum release power of the kth energy storage device in stage m respectively.

[0103] Furthermore, the power balance constraint can be expressed as:

[0104]

[0105]

[0106] Where: They are the photovoltaic and wind turbine powers absorbed by the system at time t in the m-stage n-scenario; is the power generation capacity of the gangue generator set at time t in the m-stage n-scenario; is the power generation of the gas turbine at time t in the m-stage n-scenario; is the system power purchase amount at time t in the m-stage n-scenario; They are the system electricity, heating and cooling load demands at time t in stage m and scenario n respectively; is the heat generation power of t HRSG in m stage n scenario; are the thermal power injected and released by the heat storage device at time t in stage m and scenario n, respectively; They are the waste heat absorbed by the waste heat boiler and absorption chiller at time t in the m-stage n-scenario; They are the waste heat power of the gas turbine and gangue generator set at time t in the m-stage n-scenario; is the cooling power of the absorption chiller at time t in the m-stage n-scenario.

[0107] Step 500: The established multi-stage planning model of the mine integrated energy system is used to call a solver for solving the problem. The solution results include system planning solutions and planned operating costs at different stages.

[0108] The multi-stage planning problem of the integrated energy system of a mine is a mixed integer linear programming problem, which can be solved by calling a related solver. The present invention establishes a multi-stage planning method of the integrated energy system of a mine based on unified modeling, adopts a related solver to solve, and obtains system planning schemes and costs at different stages.

[0109] In one embodiment, a multi-stage planning system for a mine integrated energy system based on unified modeling is proposed, the system comprising:

[0110] The topology construction module is used to construct the material-energy coupling topology of the mine comprehensive energy system considering coal production by analyzing the types of coal mine energy resources, energy consumption types and historical energy consumption data, and combining the coal mine production links to derive the coupling relationship between the coal production process, the associated resource recycling and utilization methods, and the coal mine electricity-heat-cold multi-energy transmission;

[0111] The module for constructing a unified model of associated resource output is used to extract the key parameters that affect the output of coal associated resources, unify the resource output formulas of coalbed methane, lack of wind, and water inflow, and construct a unified model of associated resource output based on the key parameters of coal mining; the key parameters include coal output and geological parameters;

[0112] The time series evolution law setting module is used to use the associated resource output uniformity model to analyze the impact of coal time series mining and coal mine geological changes on coalbed methane, wind deficiency, and water inflow production, and to derive the time series evolution law of resources in different mining stages of the mine comprehensive energy system;

[0113] The module for constructing a multi-stage planning model for a mine comprehensive energy system is used to construct a multi-stage planning model for a mine comprehensive energy system based on the material-energy coupling topology of the mine comprehensive energy system, system equipment parameters, the unified model of coal associated resource output, and the temporal evolution law of the mine comprehensive energy system, with the goal of minimizing the annual planning cost of the mine;

[0114] The solution module is used to call the solver to solve the established multi-stage planning model of the mine comprehensive energy system; the solution results include: system planning schemes at different stages and planned operating costs.

[0115] It should be noted that the multi-stage planning system for a mine integrated energy system based on unified modeling provided in the above-mentioned embodiment only uses the division of the above-mentioned functional modules as an example when executing the multi-stage planning method for a mine integrated energy system based on unified modeling. 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 multi-stage planning system for a mine integrated energy system based on unified modeling provided in the above-mentioned embodiment and the embodiment of the multi-stage planning method for a mine integrated energy system based on unified modeling belong to the same concept. The implementation process thereof is detailed in the embodiment of the multi-stage planning method for a mine integrated energy system based on unified modeling, which will not be repeated here.

[0116] In a specific embodiment, the proposed unified model is verified, the temporal evolution law of coal mine resources is analyzed, and the multi-stage planning of the coal mine integrated energy system is analyzed and discussed. The service life, unit investment cost, rated power, quantity limit, and capacity limit of various types of equipment involved in the system are shown in Table 1.

[0117] Table 1 System composition and parameters

[0118]

[0119] The discount rate for all equipment in the system is set to 5%. The total planned life cycle of the system is set to 15 years, with 5 years as one planning stage, and the total life cycle of the coal mine is divided into 3 planning stages.

[0120] According to the design report, geological exploration report and coal production process of the investigated coal mine, the parameters related to geological conditions in the unified model of the current stage (stage 1) are obtained. The geological parameters in stages 2 and 3 can be inferred according to the law of change of geological conditions and combined with expert experience.

[0121] Since both coal mining characteristics and coal mine source-load characteristics show strong seasonal characteristics, the whole year can be divided into summer, winter and transition seasons according to the relevant meteorological data around the coal mines, and one typical production day scene is selected in each of the summer, winter and transition seasons. The data of three typical production day scenes (stage 1) are shown in Figure 4 In addition, based on the historical energy consumption data of coal mines and combined with expert experience, the current stage (stage 1) is taken as the base value, and the initial annual wind and solar resources and electricity, heat and cooling load levels of stages 2 and 3 are set to increase by 5% compared with the previous stage.

[0122] According to the investigation of wind turbine and photovoltaic construction around coal mines, wind and photovoltaic resources will show a phased investment trend in phases 2 and 3, that is, 6.3MW will be put into operation in phase 2 compared with phase 1, and 5.5MW will be put into operation in phase 3 compared with phase 2. At the same time, in order to ensure the comparability of the calculation examples, when selecting typical production days in phases 2 and 3, it should be ensured that their coal production is consistent with typical production days 1-3 in phase 1, so as to make a longitudinal comparison of the impact of coal geological changes on the production of associated resources.

[0123] In addition, to prevent the belt conveyor from idling or overloading, the running speed of the belt conveyor connected to the coal mining machine needs to be synchronized with the coal mining machine, that is, the hourly transportation volume and speed of belt conveyor ① are the same as the coal mining volume and speed of the coal mining machine; in addition, belt conveyor ② evenly transports the coal in the bottom coal bunker to the raw coal bunker at a speed of 3.6m / s, and the hourly transportation volume is controlled at 600t.

[0124] The hardware system configuration of this chapter is: Inter Core i7-11370H processor, 64-bit Windows 11 operating system; the software system configuration is: MATLAB_R2021b software, calling the GUROBI solver (version 9.5.0) through the YALMIP toolkit for example simulation.

[0125] Based on the current (stage 1) coal associated resource production data, typical scenario 2 is selected to verify the proposed unified model. The average prediction error between the calculated coal associated resource production and the actual production is shown in Table 2.

[0126] Table 2 Average prediction error

[0127]

[0128] Comparison chart Figure 5 .Depend on Figure 5 It can be seen that the calculated value of the associated resource output of coal at the current stage (stage 1) is basically consistent with its actual value, and the unified model has a good effect in evaluating the associated resource output of coal; as shown in Table 2, the errors between the associated resource output solved by the unified model of associated resources proposed in this chapter and the actual output are 0.9%, 1% and 2.5% respectively. The model has a high prediction accuracy for coalbed methane and ventilation, which fully meets the CMIES operation requirements. The prediction accuracy of water inflow is slightly higher than that of coalbed methane and ventilation, but it is still within an acceptable range. Therefore, the effectiveness of the unified model of associated resources of coal is verified based on the associated resource output data of the current stage (stage 1). It can better evaluate the coal resource output information according to the geological conditions of coal mines and the amount of coal mining, and can provide model support for the evaluation of associated resource output under the evolution of coal mine resources and the analysis of the temporal evolution characteristics of coal mine resources. At the same time, it also lays the foundation for the multi-stage planning of the system.

[0129] According to the above-mentioned unified modeling method of associated resources, the impact of coal mining volume and geological conditions changes on associated resource production is analyzed by comparing the time scales of the same stage (horizontally) and different stages (vertically). The associated resource production data generated can be used as planning data in stages 2 and 3. Figure 6It can be seen that in the same stage (same geological conditions), as the coal mining volume gradually increases from scenario 1 to scenario 3, the output of coal associated resources also increases, that is, the output of associated resources in scenario 1 is the least, scenario 2 is the second, and scenario 3 is the most. For coalbed methane, under relatively stable geological conditions, the impact of coal mining process on its output is small, its output is relatively stable, and the difference in coalbed methane output under the three scenarios is not large; for ventilation, the ventilation output under the same scenario is relatively stable, but with the continuous growth of coal mining, the gas contained in the coal seam is gradually released, and the air demand of the underground coal mining face will also increase, so the ventilation output increases significantly with the growth of coal mining; for water inflow, since the water inflow volume is calculated by the water-rich coefficient method, the mine drainage volume fluctuates with the fluctuation of coal mining, especially in the coal mining period from 00:00 to 10:00 and 17:00 to 24:00, the fluctuation of its resource output is more obvious. Taking scenario 1 as an example, we explore the changes in the output of coal associated resources under the same coal output at different stages, that is, the impact of changes in geological conditions on the output of coal associated resources. The simulation results are as follows: Figure 7 As shown. With the changes in geological environment and the migration of working faces, the output of associated resources changes significantly under the same coal mining task. Because geological conditions are determined by many factors such as coal mine geological structure, coal seam structure, coal quality characteristics and groundwater environment, this paper extracts key element features during the modeling process and simplifies related details such as complex geological structure and coal seam properties to facilitate CMIES planning research. For coalbed methane, changes in geological conditions have a greater impact on its resource output, and the gap in resource output between each stage is quite obvious. Among them, the coalbed methane output in stage 3 is significantly higher than that in stage 2 and stage 1; for wind exhaustion, changes in geological conditions have little impact on its resource output, and the wind exhaustion volume of each stage is not much different. Among them, the wind exhaustion volume in stage 1 is slightly higher than that in stage 2 and stage 3; for water inflow, changes in coal mine geological conditions have little impact on its resource output, which is shown in the figure as the difference in water inflow production between stage 3 and stage 1 is less than Figure 5 In summary, with the continuous exploitation of coal resources, the migration of underground working faces and the gradual deepening of coal seams, the output of coal associated resources has a certain impact, that is, the changes in coal production and coal mine geological conditions have caused changes in the output of coal associated resources, among which the output of wind deficiency and water inrush is greatly affected by the changes in coal production, while coalbed methane is greatly affected by geological conditions.

[0130] According to the associated resource output in the same mining scenario at different stages mentioned above, it is used as the associated resource output input data for each planning stage of the system for multi-stage planning. The system equipment is invested and constructed at the beginning of the first year, the beginning of the sixth year, and the beginning of the eleventh year, and the operating expenses are incurred in the same year. The settlement period for the operating expenses is the end of each year. The system planning scheme obtained by GUROBI is shown in Table 3.

[0131] Table 3 System planning scheme

[0132]

[0133] Note: “+” indicates the capacity / number of equipment increased in this stage compared with the previous stage;

[0134] “-” indicates that the equipment capacity / number in this stage is the same as that in the previous stage.

[0135] The system planning and operation costs under the three stages are shown in Table 4.

[0136] Table 4 System planning and operation costs under three stages

[0137]

[0138] From the system planning scheme in Table 3, it can be seen that with the phased operation of photovoltaic and wind turbines around the mining area, CMIES plans more gas turbines and power-to-gas devices to further consume wind and solar resources on site. This is because the power-to-gas device converts the surplus wind and solar resources into high-concentration gas through methanation reaction. This part of gas is mixed with coalbed methane and converted into electricity for use in the mining area through gas turbines. The increase in power-to-gas power leads to an increase in the production of high-concentration gas, which in turn brings about an increase in the power generation of gas turbines, which is reflected in the increase in the number of planned gas turbines in Phase 2 and Phase 3. Since the service life of the planned equipment is greater than 15 years, there is no need to consider the service life of the equipment during the entire planning period. From Table 4, it can be seen that the total cost of the CMIES life cycle is 54.3114 million yuan, and the total cost of Phase 1 is the highest, which is 21.5104 million yuan, of which the cost of initial equipment investment is 9.9359 million yuan, which is higher than the investment cost of Phase 2 and Phase 3. Since the second and third phases only need to increase the equipment capacity / number on the basis of the previous phase, their annual comprehensive costs are lower than scenario 1. Through multi-stage planning of the coal mine integrated energy system, the duplication of system-related equipment is reduced, the economy of system planning is improved, and the CMIES equipment capacity configuration is more scientific and reasonable.

[0139] 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.

[0140] 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.

[0141] 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 multi-stage planning method for integrated energy system of mine based on unified modeling, characterized in that: The method comprises: According to the selected mine comprehensive energy system, by analyzing the types of coal mine energy resources, energy consumption types and historical energy consumption data, combined with the coal mine production links, the coupling relationship between the coal production process, the recycling and utilization of associated resources, and the coal mine electricity-heat-cold multi-energy transmission is obtained, and the material-energy coupling topology of the mine comprehensive energy system considering coal production is constructed; Extract the key parameters that affect the output of coal-associated resources, unify the resource output formulas of coalbed methane, air deficiency and water inrush, and construct a unified output model of associated resources based on key parameters of coal mining; the key parameters include coal output and geological parameters; the associated resource output unified model based on key parameters of coal mining includes: coalbed methane output model, air deficiency output model and water inrush output model; The coalbed methane production model is expressed as: Where: L1 and L2 are the width of the mining area and the length of the mining working face respectively; M is the average thickness of the pre-drained coal seam; γ is the apparent density of coal; M C Coal reserves for mining coal seams; is the coal mining volume of the coal mining machine at time i; a1, a2, a3, a4, b1 are constant coefficients, which are related to the geological conditions of the coal mine; are the gas extraction volumes of the mined coal seam, adjacent layer, and goaf at time t, respectively; is the total amount of gas that can be extracted from the coal mine at time t; Q t is the coalbed methane extraction volume at time t; The ventilation output model is expressed as: Where: V t is the ventilation volume of the main fan at time t; a5 is the ventilation correlation coefficient; They are the planned ventilation volume of the mine at time t, the required air volume of the mining face, and the required air volume of other places underground; K CH4 It is the unbalanced ventilation coefficient of gas outburst at the mining face; q1 and q2 are the relative gas emission in the return air lane of the mining face, the relative gas emission in the mining layer, and the relative gas emission in the adjacent layer, respectively; is the coal mining volume of the coal mining machine at time i; T is the total scheduling time of the system; Δt is the time interval; The water production model is expressed as: Where: G t is the mine drainage volume entering the underground water tank at time t; k p is the water-rich coefficient, which is the ratio of the annual water inflow to the annual coal production in the mine; k q is the correlation coefficient of shearer spray dust removal; is the coal mining volume of the coal mining machine at time t; t1 and t2 are the start and end times of the maintenance period respectively; d3 is a constant; Using the unified model of associated resource output, the impact of coal mining and geological changes in coal mines on the production of coalbed methane, wind deficiency, and water inflow is analyzed, and the temporal evolution law of resources in different mining stages of the mine comprehensive energy system is obtained; The temporal evolution laws of different mining stages include: the migration / construction law of coal mining working faces under continuous coal mining, the change law of coal associated resource output, and the change law of coal mine electricity-heat-cooling load; According to the material-energy coupling topology of the mine comprehensive energy system, system equipment parameters, the unified model of coal associated resource output, and the temporal evolution law of resources in different mining stages of the mine comprehensive energy system, a multi-stage planning model of the mine comprehensive energy system is constructed with the goal of minimizing the annual planning cost of the mine; The multi-stage planning model for the mine comprehensive energy system with the goal of minimizing the annual mine planning cost is expressed as: R j ＝(1+r) -j minC tot =C inv +C ope C ope =C ele +C main +C aba +C gas Where: R j is the present value coefficient of the jth year; j is the number of years from the year of cost generation to the initial year of the planning period; r is the discount rate; C tot is the total cost of the whole planning cycle; C inv is the total equipment investment cost; C ope is the total operating cost; N sta Plan the number of stages for the system; N equ The number of equipment types planned for the system; S m is the mth planning stage, is the present value coefficient of the initial year of the mth planning stage; The number of k-th equipment planned for the m-th stage; C k is the unit capacity investment cost of the kth equipment; P k is the rated power of the kth device; C ele is the total cost of electricity purchase; C main is the total cost of equipment operation and maintenance; C aba C is the total cost of wind and solar power abandonment; gas is the total gas purchase cost; N year N is the number of years of the planning cycle; sce is the number of typical scene types; N n is the number of days of the nth typical scenario in a year; The system power purchase amount at time t in the nth typical production day scenario in the jth year; is the electricity price at time t; μ k is the unit operation and maintenance cost of the kth type of equipment; is the equipment power at time t in the nth typical production day scenario in the jth year; k PV , k WT are the penalty coefficients for system abandonment of solar power and wind power respectively; are the abandoned solar and wind powers at time t in the nth typical production day scenario in the jth year; is the initial capacity of the underground gas storage under the nth scenario in the jth year; p G is the price of natural gas; Through the established multi-stage planning model of the integrated energy system of the mine, the solver is called to solve the problem; the solution results include: system planning schemes at different stages and planned operating costs.

2. The multi-stage planning method for integrated mine energy system based on unified modeling according to claim 1 is characterized in that: When the selected mine comprehensive energy system is an underground coal mine, the material-energy coupling topology of the mine comprehensive energy system is mainly divided into two parts: aboveground and underground. The underground part includes coal production and transmission and associated resource output links, and the aboveground part includes associated resource recycling and utilization and electricity-heat-cold transmission coupling links.

3. The multi-stage planning method for integrated mine energy system based on unified modeling according to claim 1 is characterized in that: The key parameters affecting the output of coal associated resources are extracted based on the material-energy coupling topology of the mine comprehensive energy system, system equipment parameters and the coupling relationship between coal production and associated resource output, combined with the engineering calculation formula of coal associated resources.

4. The multi-stage planning method for integrated mine energy system based on unified modeling according to claim 3 is characterized in that: The temporal evolution law of resources in the mine comprehensive energy system is expressed as: Where: Q m,n,t 、V m,n,t , G m,n,t are the coalbed methane extraction volume, main fan ventilation volume, and mine drainage volume entering the underground water tank at time t in the nth typical production day scenario in stage m; c1, c2, c3, d1, d2, and d3 are constants related to the geological conditions of coal mining, τ 1m , τ 2m , τ 3m , σ 1m , σ 2m , σ 3m is the change of geological parameters; They are the coal mining volume of the shearer at time i and time t in the nth typical production day scenario in stage m; t1 and t2 are the start and end times of the maintenance period, respectively.

5. The multi-stage planning method for integrated mine energy system based on unified modeling according to claim 1 is characterized in that: The multi-stage planning model of the mine comprehensive energy system also includes: considering the operation constraints related to the utilization of coal associated resources, the operation constraints of other equipment in the system and the power balance constraints respectively.

6. The multi-stage planning method for integrated mine energy system based on unified modeling according to claim 5 is characterized in that: The operation constraints related to the utilization of coal associated resources are expressed as: Where: is the output thermal power of the thermal storage oxidation device at time t in the nth typical production day scenario in stage m; η RTO is the heat conversion efficiency of the thermal storage oxidation device; C is the gas concentration in the exhaust air at time t in the nth typical production day scenario in stage m; CH4 V is the lower calorific value of gas; m,n,t The ventilation volume of the main fan at time t in the nth typical production day scenario in stage m; are the water volume in the underground water tank at time t and t-1 in the nth typical production day scenario in stage m; G m,n,t is the mine drainage volume entering the underground water tank at time t in the nth typical production day scenario in stage m; is the amount of water pumped from the underground water tank by the water source heat pump at time t in the nth typical production day scenario of stage m; is the cooling power of the water source heat pump at time t in the nth typical production day scenario in stage m; η WSHP is the refrigeration correlation coefficient of the water source heat pump; is the gas flow rate injected into the gas turbine at time t in the nth typical production day scenario of stage m; is the gas flow rate of gas produced by power-to-gas conversion at time t in the nth typical production day scenario of stage m, which is mixed with gas; Q is the gas release volume of the underground gas storage at time t in the nth typical production day scenario of stage m; m,n,t is the coalbed methane extraction volume at time t in the nth typical production day scenario in stage m; is the gas concentration injected into the gas turbine at time t in the nth typical production day scenario of stage m; is the concentration of gas produced by the power-to-gas conversion at time t in the nth typical production day scenario of stage m; It is the gas concentration in the coalbed methane extracted at time t in the nth typical production day scenario in stage m.

7. A multi-stage planning system for integrated energy systems in mines based on unified modeling, characterized in that: The system comprises: The topology construction module is used to construct the material-energy coupling topology of the mine comprehensive energy system considering coal production by analyzing the types of coal mine energy resources, energy consumption types and historical energy consumption data, and combining the coal mine production links to derive the coupling relationship between the coal production process, the associated resource recycling and utilization methods, and the coal mine electricity-heat-cold multi-energy transmission; The module for constructing a unified model of associated resource output is used to extract the key parameters that affect the output of coal associated resources, unify the resource output formulas of coalbed methane, lack of wind, and water inflow, and construct a unified model of associated resource output based on the key parameters of coal mining; the key parameters include coal output and geological parameters; The associated resource output unified model based on the key parameters of coal mining includes: coalbed methane output model, air deficiency output model and water inflow output model; The coalbed methane production model is expressed as: Where: L1 and L2 are the width of the mining area and the length of the mining working face respectively; M is the average thickness of the pre-drained coal seam; γ is the apparent density of coal; M C Coal reserves for mining coal seams; is the coal mining volume of the coal mining machine at time i; a1, a2, a3, a4, b1 are constant coefficients, which are related to the geological conditions of the coal mine; are the gas extraction volumes of the mined coal seam, adjacent layer, and goaf at time t, respectively; is the total amount of gas that can be extracted from the coal mine at time t; Q t is the coalbed methane extraction volume at time t; The ventilation output model is expressed as: Where: V t is the ventilation volume of the main fan at time t; a5 is the ventilation correlation coefficient; They are the planned ventilation volume of the mine at time t, the required air volume of the mining face, and the required air volume of other places underground; K CH4 It is the unbalanced ventilation coefficient of gas outburst at the mining face; q1 and q2 are the relative gas emission in the return air lane of the mining face, the relative gas emission in the mining layer, and the relative gas emission in the adjacent layer, respectively; is the coal mining volume of the coal mining machine at time i; T is the total scheduling time of the system; Δt is the time interval; The water production model is expressed as: Where: G t is the mine drainage volume entering the underground water tank at time t; k p is the water-rich coefficient, which is the ratio of the annual water inflow to the annual coal production in the mine; k q is the correlation coefficient of shearer spray dust removal; is the coal mining volume of the coal mining machine at time t; t1 and t2 are the start and end times of the maintenance period respectively; d3 is a constant; The time series evolution law setting module is used to use the associated resource output uniformity model to analyze the impact of coal time series mining and coal mine geological changes on coalbed methane, wind deficiency, and water inflow production, and to derive the time series evolution law of resources in different mining stages of the mine comprehensive energy system; The temporal evolution laws of different mining stages include: the migration / construction law of coal mining working faces under continuous coal mining, the change law of coal associated resource output, and the change law of coal mine electricity-heat-cooling load; The module for constructing a multi-stage planning model for a mine comprehensive energy system is used to construct a multi-stage planning model for a mine comprehensive energy system based on the material-energy coupling topology of the mine comprehensive energy system, system equipment parameters, the unified model of coal associated resource output, and the temporal evolution law of the mine comprehensive energy system, with the goal of minimizing the annual planning cost of the mine; The multi-stage planning model for the mine comprehensive energy system with the goal of minimizing the annual mine planning cost is expressed as: R j ＝(1+r) -j minC tot =C inv +C ope C ope =C ele +C main +C aba +C gas Where: R j is the present value coefficient of the jth year; j is the number of years from the year of cost generation to the initial year of the planning period; r is the discount rate; C tot is the total cost of the whole planning cycle; C inv is the total equipment investment cost; C ope is the total operating cost; N sta Plan the number of stages for the system; N equ The number of equipment types planned for the system; S m is the mth planning stage, is the present value coefficient of the initial year of the mth planning stage; The number of k-th equipment planned for the m-th stage; C k is the unit capacity investment cost of the kth equipment; P k is the rated power of the kth device; C ele is the total cost of electricity purchase; C main is the total cost of equipment operation and maintenance; C aba C is the total cost of wind and solar power abandonment; gas is the total gas purchase cost; N year N is the number of years of the planning cycle; sce is the number of typical scene types; N n is the number of days of the nth typical scenario in a year; The system power purchase amount at time t in the nth typical production day scenario in the jth year; is the electricity price at time t; μ k is the unit operation and maintenance cost of the kth type of equipment; is the equipment power at time t in the nth typical production day scenario in the jth year; k PV , k WT are the penalty coefficients for system abandonment of solar power and wind power respectively; are the abandoned solar and wind powers at time t in the nth typical production day scenario in the jth year; is the initial capacity of the underground gas storage under the nth scenario in the jth year; p G is the price of natural gas; The solution module is used to call the solver to solve the established multi-stage planning model of the mine comprehensive energy system; the solution results include: system planning schemes at different stages and planned operating costs.

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