CN115310651A - Low-carbon operation method of coal mine energy system based on cooperation of material flow and energy flow - Google Patents
Low-carbon operation method of coal mine energy system based on cooperation of material flow and energy flow Download PDFInfo
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Abstract
The invention discloses a coal mine energy system low-carbon operation method based on material flow-energy flow cooperation, which is used for simplifying and abstracting a coal mine energy supply network and a coal mine material flow-coal flow to obtain node-branch topology and topology parameters and establishing a coupling relation between the energy flow and the material flow through node physical quantity; based on the accurate carbon metering method of the coal mine energy supply side, an optimized scheduling model aiming at the minimum running cost and carbon emission of a coal mine energy system is constructed, the material flow of the coal mine is guided to realize the flexible adjustment of multiple production links, the flexible elastic characteristics of the belt speed and the transportation quantity of a silo and a belt conveyor in the coal flow transportation link are exerted, and the material flow and the energy flow are subjected to economic and low-carbon running scheduling along with the electricity price and the comprehensive carbon emission factor. The invention has the advantages that: the coal mine energy system low-carbon operation scheduling method based on cooperation of material flow and energy flow can improve the system operation level, and has obvious effects on improving the system economy and reducing the carbon benefits.
Description
Technical Field
The invention belongs to the technical field of energy scheduling, and particularly relates to a low-carbon operation method of a coal mine energy system based on material flow-energy flow cooperation.
Background
Coal is an important primary energy source in China, and according to statistics, the percentage of the generated energy of coal electricity in 2020 years in China is up to 61%. However, coal mines with the capacity of more than 70 percent are still in the stage of extensive production in the 70 th 20 th century at present, compared with developed countries, the energy consumption per ton of coal in China is still at a higher level, and the average energy consumption of coal mining is nearly 4 times that of the developed countries. The coal mine has large power consumption in the production process, the energy consumption management mode is extensive, and the improvement space is abundant in the realization of the boosting double-carbon target. Therefore, the method is one of effective ways for realizing the double-carbon target by the aid of the coal mine production system by excavating the reasons of low energy efficiency level in the coal mine production process and improving the energy supply and demand relationship in the coal mine production process. The mine transportation system is used as an intermediate link of coal mining and washing, and the energy consumption of the mine transportation system is more than 10% of the whole energy consumption of a mine. Meanwhile, the silo in the coal mine transportation system endows the transportation equipment with flexible elastic characteristics for responding to the material flow scheduling requirement, and the material flow transportation equipment is flexible and controllable. Therefore, the coordination optimization of the coal mine energy flow and the coal transport material flow has great potential in the aspects of reducing energy consumption cost and low-carbon cleaning.
At present, the multi-type energy demand and energy supply network of the coal mine are taken as independent parts, the dynamic analysis of material flow and energy flow is lacked, and the cooperative operation of the material flow and the energy flow under the influence of time-of-use electricity price and carbon emission factors is not considered. Therefore, an energy system operation optimization method capable of promoting cooperation of coal mine material flow and energy flow is urgently needed, flexible elastic characteristics of belt speeds and conveying amounts of a silo and a belt conveyor in a coal flow conveying link are exerted, coal mine material flow is guided to achieve flexible scheduling of multiple production links, energy consumption is promoted to follow electricity prices and comprehensive carbon emission factors to adjust material flow, and operation economy and carbon reduction benefits of a coal mine energy system are improved.
Disclosure of Invention
The invention aims to solve the technical problem that based on the coal mine time-of-use electricity price and carbon emission factors of different energy power generation, the economical efficiency and low carbon property of the coal mine energy are considered, and finally, the optimal operation scheme of the coal mine energy system under the cooperation of material flow and energy flow is obtained.
The technical scheme adopted by the invention is as follows:
step 1: simplifying and abstracting an energy supply network of the selected coal mine to obtain coal mine energy flow parameters and define decision variables of the coal mine energy flow parameters;
step 2: simplifying and abstracting a main material flow-coal flow of a selected coal mine to obtain a coal mine material flow parameter and define a decision variable of the coal mine material flow parameter;
and step 3: establishing a coupling relation between the energy flow and the material flow according to the structures and parameters of the coal mine energy flow and the material flow provided in the steps 1 and 2;
and 4, step 4: establishing a coal mine energy supply side accurate carbon metering method, and calculating a coal mine time-by-time electric energy comprehensive carbon emission factor;
and 5: establishing a coal mine energy system operation model with cooperation of material flow and energy flow based on the topology and parameter acquisition and accurate carbon metering method completed in the steps 1, 2, 3 and 4;
step 6: constructing a coal mine material flow and energy flow cooperative operation method based on the mathematical model established in the step 5;
and 7: carrying out convex conversion processing on the nonlinear terms in the constraint established in the step 6, and constructing a second-order cone model easy to solve;
and 8: based on the operation model established in the steps 5, 6 and 7, solving the model by adopting a Gurobi solver in a YALMIP optimization solving tool, and verifying the effectiveness of the algorithm;
and step 9: and generating a coal mine energy system low-carbon operation scheduling scheme with the cooperation of material flow and energy flow.
The invention has the advantages that: the coal mine energy system low-carbon operation method based on material flow-energy flow cooperation provided by the invention is based on solving the optimal operation problem of a coal mine energy system under the cooperation of material flow and energy flow, exerts the flexible and elastic characteristics of belt speed and transportation capacity of a silo and a belt conveyor in a coal flow transportation link, guides the coal mine material flow to realize flexible scheduling of multiple production links, promotes energy consumption to follow electricity price and comprehensive carbon emission factors to carry out decision variable adjustment of material flow belt speed, transportation capacity and the like, aims at improving the economical efficiency and carbon reduction benefits of the operation of the coal mine energy system, establishes a coal mine energy system low-carbon operation scheduling model under the cooperation of material flow and energy flow, and calls a relevant mathematical solver to solve to obtain a system day-ahead scheduling plan.
Drawings
FIG. 1 is a flow chart of a low-carbon operation method of a coal mine energy system based on material flow-energy flow coordination;
FIG. 2 is a topological structure diagram of a coal mine energy system with material flow and energy flow in coordination;
FIG. 3 is a simplified coal mine material flow-coal flow model schematic;
FIG. 4 is a diagram of power generation ratios of different types of energy sources in power purchasing in a mining area;
FIG. 5 is electricity prices at a mine site;
FIG. 6 is a coal mine material flow-coal flow optimization result;
fig. 7 is a graph of the change in system power consumption before and after the operation optimization based on the accurate carbon metering.
Detailed Description
The invention provides a coal mine energy system low-carbon operation method based on material flow-energy flow cooperation, which is disclosed by the invention and is explained in detail in the following by combining an embodiment and an attached drawing.
The invention discloses a coal mine energy system low-carbon operation method based on material flow-energy flow cooperation, which comprises the following steps as shown in figure 1:
1) Simplifying and abstracting an energy supply network of a selected coal mine, obtaining a node-branch topology of an energy flow, numbering nodes and branches of the topology, obtaining and calculating energy flow parameters, wherein the energy flow parameters comprise load values of known nodes, lengths and impedance values of branches, predicted photovoltaic power generation values, and decision variables comprising system electricity purchasing quantity, adjustable point power values, reactive compensation node serial numbers, capacity and the like, and the energy flow topology is shown in figure 2;
2) According to the selected coal mine, the main material flow-coal flow is simplified and abstracted to obtain five key links of the coal flow: the method comprises the following steps of working face coal mining, a belt conveyor, a shaft bottom coal bunker, a belt conveyor and a ground coal bunker, and parameter acquisition and variable definition are carried out on all links, wherein the links comprise coal mining quantity, coal conveying quantity, power value, belt conveyor speed and the like, and material flow-coal flow topology and model schematic diagrams are shown in fig. 2 and fig. 3;
3) According to the simplified topology of the coal mine energy flow and material flow provided in the step 1) and the step 2), establishing a coupling relation between the energy flow and the material flow, wherein the coupling relation comprises analysis of influence and influence degree of power values of all links of the material flow on power flow distribution caused by load value change of an energy flow associated node, and analysis of influence and influence degree of power values of the energy flow input material flow on material flow coal mining quantity, coal transporting quantity and belt conveyor speed;
the coupling relation between the energy flow and the material flow is established and can be expressed as follows:
in the formula, P t，jh Active power of the head end of a branch jh at the time t of the energy flow; p t，c The average power of the coal face in the t hour is; omega c A coal face load node set in an energy flow; omega bc The method comprises the steps of (1) collecting load nodes of the energy flow belt conveyor; p bc，t Representing coalThe power of a belt conveyor of the flow transportation system is obtained from the nodes, j represents an energy flow node, and the coal face load nodes in the energy flow comprise loads of a coal mining machine, a scraper conveyor, a reversed loader and a crusher of the coal face.
4) Establishing a coal mine energy supply side accurate carbon metering method, analyzing and selecting time-by-time electric energy components of a coal mine according to a power source of a large power grid, namely time-by-time proportion conditions of thermal power, wind power, photovoltaic power, hydroelectric power and nuclear power in electricity purchased by the coal mine, calculating time-by-time electric energy comprehensive carbon emission factors of the coal mine based on carbon emission factors of different power components, and calculating energy consumption carbon emission per hour of the coal mine according to power consumption per hour;
the accurate carbon metering method for the coal mine energy supply side can be expressed as follows:
in the formula, i represents coal power, nuclear power, photovoltaic power generation, wind power and hydropower;
representing the power of the ith type of energy component for powering the coal mine at the tth hour;
total electricity purchased from the grid per hour;
the proportion of coal power, nuclear power, photovoltaic power generation, wind power and hydropower in power supply components is represented;
representing the comprehensive carbon emission factor of the t hour at the energy supply side of the mining area, representing the carbon emission intensity of the power supply of the mining area per hour, and the unit is kgCO 2 /kWh；α Gi For the carbon emission factor of the ith power generation type in the outsourcing power,
the power generation capacity of the ith power generation type in the external power purchase accounts for the ratio.
5) According to the simplified and abstract topology, parameters and coupling relation of the material flow and the energy flow of the coal mine provided in the steps 1), 2) and 3) and the accurate carbon metering method on the energy supply side provided in the step 4), establishing a coal mine energy system operation model with the material flow and the energy flow cooperating, aiming at the minimum economic cost and carbon emission of the coal mine energy supply system, and taking Distflow branch flow restriction, energy network safe operation restriction, photovoltaic power generation operation restriction, reactive compensation restriction and mine production safety restriction as restriction conditions;
(1) The aim of minimizing the economic cost and the carbon emission of the coal mine energy supply system can be expressed as follows:
minF＝F 1 +F 2 #(5)
in the formula, F 1 The running cost of the coal mine energy system is the electricity purchasing cost of the mining area, and Cp is the time-of-use electricity price of the coal mine; f 2 Punishment cost is carbon emission of a coal mine energy system, and delta is a punishment cost coefficient of the carbon emission, and the unit is Yuan/kg; t is the total time segment number of a complete scheduling period, and T is the scheduling time interval.
(2) The Distflow branch flow constraint is expressed as
In the formula, P t，ij 、Q t，ij Active and reactive power flowing from node I to node j at time t, I t，ij Is the current of line ij at time t, r ij 、x ij Resistance and reactance, V, of line ij, respectively t，i The voltage at node i at time t.
(3) The energy network safe operation constraint is expressed as
In the formula, V min And V max An upper and lower limit of allowable operation of the node voltage, respectively; i is ij，max The maximum current allowed for line ij.
(4) The photovoltaic power generation operation constraint is expressed as
In the formula (I), the compound is shown in the specification,
actual contribution of the distributed photovoltaic at node i over a time period t;
the maximum output of distributed photovoltaic.
(5) The reactive compensation constraint is expressed as
In the formula, i is the reactive power compensation device access node,
the actual reactive compensation amount of the SVC device at the node i in the time period t;
the minimum value and the maximum value of the reactive compensation quantity of the SVC equipment are respectively.
(6) The mine production safety constraint comprises a belt conveyor power expression, a relation constraint of the conveying capacity and the belt speed, an upper and lower limit constraint of the conveying capacity per unit length of the belt conveyor, an upper and lower limit constraint of the speed of the belt conveyor, a coal bunker coal quantity expression and an upper and lower limit constraint which can be respectively expressed as
M min ≤M t ≤M max #(18)
0＜v＜v max #(19)
C t+1 ＝C t +θ in，t -θ out，t #(20)
0.2C N ≤C t ≤0.9C N #(21)
In the formula, P bc，t The average power of the belt conveyor in the t hour; mu.s 1 、μ 2 、μ 3 、μ 4 The four parameters are coefficients related to the belt conveyor structure; eta d 、η m The efficiency of the motor and drive system, respectively; m t Bearing mass of the belt conveyor in unit length of kg/m in the t-th time period; v. of t Conveying coal and belt speed for the belt conveyor; theta t The unit is ton/h, wherein the unit is the transport capacity of the belt conveyor at the t-th time period; v. of max The maximum belt speed of the belt conveyor; m min 、M max The upper limit and the lower limit of the bearing mass of the belt conveyor in unit length are respectively, and the unit is kg/m; theta in，t 、θ out，t The coal amount of the coal bunker is respectively transported in and out; c N Is the capacity of the coal bunker, C t The coal storage quantity of the coal bunker at the t hour.
6) Constructing a coal mine material flow and energy flow cooperative operation method based on the mathematical model established in the step 5), and based on coal mine time-of-use electricity price and time-by-time comprehensive carbon emission factors, exerting the flexible and elastic characteristics of belt speeds and transport volumes of a silo and a belt conveyor in a coal flow transportation link, guiding coal mine material flow to realize effective scheduling of multiple production links, promoting energy consumption to adjust material flow along with electricity price and comprehensive carbon emission factors, and improving the economical efficiency and carbon reduction benefit of coal mine energy system operation;
7) Convex conversion processing is carried out on the nonlinear terms in the model built in the step 5), a power expression of the belt conveyor is linearized, the nonlinear terms in the Distflow power flow constraint are converted into a standard second-order conical form by using auxiliary variables, and a linear model easy to solve is built;
(1) Linearizing a belt conveyor power expression in the operating constraint, which can be expressed as
(2) Performing a second order cone transformation on the Distflow power flow constraint in the operational constraint, which can be expressed as
For voltage amplitude square in distribution network power flow
Sum current square
By using
And l t，ij Instead, equations (8) - (11) are changed to equations (23) - (27), and second order cone relaxation conversion is performed on equation (26) to convert to a standard second order cone equation as equation (28).
||[2P t，ij 2Q t，ij l t，ij -v t，i ] T || 2 ≤l t，ij +v t，i #(28)
8) Based on the operation models established in the steps 5), 6) and 7), solving the models by adopting a Gurobi solver in a YALMIP optimization solving tool, and verifying the effectiveness of the algorithm;
9) The low-carbon operation scheduling scheme of the coal mine energy system with the cooperation of the product flow and the energy flow comprises the following steps: and solving the second-order cone planning model established in the steps according to the coal mining plan, the node load predicted value, the photovoltaic output predicted output, the comprehensive carbon emission factor, the electricity price and other information to obtain a coal mine energy system low-carbon operation scheme based on material flow-energy flow coordination, daily operation cost, daily carbon emission, coal bunker coal storage state of material flow, belt conveyor transport capacity, belt speed, reactive compensation power and the like on a coal mine energy supply level.
Simulation verification:
to verify the effectiveness of the method, taking a certain coal mine in Shanxi province as an example, firstly, key nodes and voltage levels in an energy flow topology structure are determined, wherein the energy flow topology structure comprises key nodes such as coal mining, transportation, ventilation, gas drainage and the like, the energy flow topology comprises 5 voltage levels including 35kV, 10kV, 1.14kV, 0.69kV and 0.4kV, 34 nodes and 33 branches are counted, and the method is specifically shown in FIG. 3.
Based on the low-carbon operation requirement of a mining area, the distributed photovoltaic power generation systems are respectively configured at nodes 3, 8 and 11 in consideration of the geographical conditions of a coal mine. Starting from energy requirements, a coal flow system is simplified into five links of working face coal mining, belt conveyor, shaft bottom coal bunker, belt conveyor and ground coal bunker. The electric equipment related to the material flow of the coal mine is respectively connected into 6 nodes. Wherein, the nodes 7, 24, 25 and 34 are respectively connected with a coal mining machine, a scraper conveyor, a reversed loader and a crusher, and the nodes 22 and 32 are connected with a belt conveyor. The power generation proportion map of different types of energy sources in the electricity purchase of the mining area is shown in fig. 4, and the time-of-use electricity price of the mining area is shown in fig. 5 and can be divided into a peak time interval, a valley time interval and a flat time interval.
In order to verify the effectiveness of the material flow-energy flow cooperative operation method and calculate the carbon emission, the following two operation scenes are constructed for comparison: 1) The material flow and the energy flow of the coal mine operate independently; 2) The coal mine material flow-energy flow cooperative operation considering accurate carbon metering is realized.
The software for executing the example simulation is MATLAB _ R2018a configured with YALMIP toolbox, and a Gurobi 9.1 solver is called for solving. The simulation platform processor used was AMD Ryzen 5 5500U, the memory was 16GB, and the operating system was 64-bit Windows 10. The specific algorithm flow chart is shown in fig. 1. The maximum magnitude of the relaxation error is 10e-6 through calculation, the magnitude of the relaxation error is small and can be ignored, and therefore the relaxation processing of the model by the second-order cone relaxation algorithm is feasible.
The results of the mass flow-coal flow optimization are shown in fig. 6. Compared with the traditional coal flow system which operates at a constant speed, the belt speed changes along with the transportation volume after the material flow-coal flow collaborative optimization, the transportation volume is reduced and the belt speed is reduced when the electricity price is high, and the belt speed and the transportation volume can flexibly respond to the time-of-use electricity price. The power consumption is reduced by 12705.6kWh, the daily power consumption cost is reduced by 10857.84 yuan, and the energy saving performance and the economical efficiency are improved. A comparison of energy consumption per ton of coal production with respect to the mass flow-energy flow coordinated mode of operation is shown in table 1.
Fig. 7 shows real-time carbon emission factors of power purchase outside a mining area and comparison of power consumption before and after optimization. The electricity price of the mining area is in a flat section from 11; the electricity price of 17. Therefore, the selection of 17. Considering the carbon emission before and after accurate carbon metering, see table 2, the carbon emission per ton of coal production is reduced by 0.9kg.
In conclusion, compared with the traditional method that the material flow and the energy flow operate independently, the economic efficiency of the coal mine production system is improved by considering the cooperative control operation of the material flow and the energy flow of the accurate carbon metering coal mine; the energy efficiency level of each ton of coal of the system is improved through real-time speed regulation of material transportation; the coal mine material flow and energy flow under accurate carbon metering are operated cooperatively, so that the carbon emission of the system is reduced by 18%, and an effective scheme is provided for a coal mine assisted double-carbon target task.
TABLE 1 coal mine energy system operation result comparison considering material flow-energy flow coordination
Note: coal output (ton), electric quantity (kWh), energy consumption (kg standard coal/ton), cost (Yuan/ton) for coal consumption (Yuan/ton)
TABLE 2 coal mine energy system carbon emission comparison of whether to consider accurate carbon metering
Note: electric quantity (kWh), carbon emission (ton), and carbon emission (kgCO) for production of coal per ton 2 Ton coal)
Claims (5)
1. The coal mine energy system low-carbon operation method based on material flow-energy flow cooperation is characterized by comprising the following steps of:
the method comprises the following steps: simplifying and abstracting an energy supply network of a selected coal mine, obtaining a node-branch topology of an energy flow, numbering nodes and branches of the topology, obtaining and calculating energy flow parameters, wherein the energy flow parameters comprise load values of known nodes, lengths and impedance values of branches and photovoltaic power generation predicted values, and defining decision variables, wherein the decision variables comprise system electricity purchasing quantity, adjustable point power values, reactive compensation node serial numbers, capacity and the like;
step two: according to the selected coal mine, the main material flow-coal flow is simplified and abstracted to obtain five key links of the coal flow: the method comprises the following steps of working face coal mining, a belt conveyor, a shaft bottom coal bunker, a belt conveyor and a ground coal bunker, and parameter acquisition and variable definition are carried out on all links, wherein the parameters comprise coal mining quantity, coal conveying quantity, power value, belt conveyor speed and the like;
step three: according to the simplified topology of the coal mine energy flow and the material flow provided by the first step and the second step, establishing the coupling relation of the energy flow and the material flow, wherein the coupling relation comprises the analysis of the influence and the influence degree of the power value of each link of the material flow on the power flow distribution caused by the load value change of the energy flow associated node, and the analysis of the influence and the influence degree of the power value of the energy flow input material flow on the coal mining quantity, the coal transporting quantity and the belt conveyor speed of the material flow;
step four: establishing a coal mine energy supply side accurate carbon metering method, analyzing and selecting electric energy components of a coal mine per hour according to a power source of a large power grid, namely the hourly proportion of thermal power, wind power, photovoltaic power, hydroelectric power and nuclear power in the electricity purchased by the coal mine, calculating an hour-level electric energy comprehensive carbon emission factor of the coal mine based on carbon emission factors of different power source components, and calculating the carbon emission amount generated by energy consumption per hour of the coal mine according to the power consumption per hour and the hour-level comprehensive carbon emission factor;
step five: establishing a coal mine energy system operation model with material flow and energy flow coordinated according to the simplified and abstract topology, parameters and coupling relation of the coal mine material flow and energy flow provided in the first step, the second step and the third step and the accurate carbon metering method on the energy supply side provided in the fourth step, wherein the coal mine energy system operation model aims at minimizing the economic cost and carbon emission of the coal mine energy supply system and takes Distflow branch flow constraint, energy network safe operation constraint, photovoltaic power generation operation constraint, reactive compensation constraint and mine production safety constraint as constraint conditions;
step six: based on the mathematical model established in the fifth step, a coal mine material flow and energy flow cooperative operation method is provided, based on coal mine time-of-use electricity price and hourly comprehensive carbon emission factors, flexible elastic characteristics of belt speeds and transport volumes of silos and belt conveyors in a coal flow transportation link are exerted, the coal mine material flow is guided to realize effective scheduling of multiple production links, energy consumption is promoted to adjust material flow along with the electricity price and the comprehensive carbon emission factors, and the economical efficiency and the carbon reduction benefit of coal mine energy system operation are improved;
step seven: carrying out convex conversion processing on the nonlinear terms in the constraint established in the step five, and constructing a second-order cone model easy to solve;
step eight: based on the operation model established in the fifth step and the sixth step, solving the model by adopting a Gurobi solver in a YALMIP optimization solving tool, and verifying the effectiveness of the algorithm;
step nine: the low-carbon operation scheduling scheme of the coal mine energy system with the cooperation of the product flow and the energy flow comprises daily operation cost, daily carbon emission, coal storage state of a coal bunker, transportation capacity of a belt conveyor, belt speed, reactive compensation power and the like on a coal mine energy supply layer.
2. The coal mine energy system low-carbon operation method based on material flow-energy flow cooperation as claimed in claim 1, wherein the coal mine energy flow and material flow topology constructed according to the coal mine energy supply network and coal flow characteristics in the first step and the second step includes simplification of a coal mine power supply system diagram and abstraction of node-branch topology, simplifies material flow-coal flow operation links of a coal mine into five parts of working face coal mining, a belt conveyor, a shaft bottom coal bunker, a belt conveyor and a ground coal bunker, and performs parameter acquisition and variable definition on each link, including coal mining amount, coal transportation amount, power value, belt conveyor speed and the like.
3. The coal mine energy system low-carbon operation method based on material flow-energy flow cooperation as claimed in claim 1, wherein the establishment of the coupling relationship between the energy flow and the material flow in the third step can be expressed as:
in the formula, P t，jh Active power of the head end of a branch jh at the time t of the energy flow; p t，c The average power of the coal face in the t hour is; omega c A coal face load node set in an energy flow; omega bc The method comprises the steps of (1) collecting load nodes of the energy flow belt conveyor; p bc，t The power obtained by a belt conveyor of the coal flow transportation system from the node is shown, j represents an energy flow node, and the coal face load node in the energy flow comprises loads of a coal mining machine, a scraper conveyor, a reversed loader and a crusher of the coal face.
4. The coal mine energy system low-carbon optimization operation method based on material flow-energy flow coordination according to claim 1, wherein the coal mine energy supply side accurate carbon metering method in the step four provides a time-by-time comprehensive carbon emission factor of a coal mine energy supply layer, which can be expressed as:
in the formula, i represents coal power, nuclear power, photovoltaic power generation, wind power and hydropower;
representing the power of the ith type of energy component for powering the coal mine at the tth hour;
total electricity purchased from the grid per hour;
the proportion of coal power, nuclear power, photovoltaic power generation, wind power and hydropower in power supply components is represented;
representing the comprehensive carbon emission factor of the t hour at the energy supply side of the mining area, representing the carbon emission intensity of the power supply of the mining area per hour, and the unit is kgCO 2 /kWh；α Gi For the carbon emission factor of the ith power generation type in the outsourced power,
the power generation capacity of the ith power generation type in the external power purchase accounts for the ratio.
5. The coal mine energy system low-carbon operation method based on material flow-energy flow coordination according to claim 1, characterized in that the aim of minimizing the economic cost and carbon emission of the coal mine energy supply system in the step five is to:
minF＝F 1 +F 2 #(5)
in the formula, F 1 The running cost of the coal mine energy system is the electricity purchasing cost of the mining area, and Cp is the time-of-use electricity price of the coal mine; f 2 Punishment cost is carbon emission of a coal mine energy system, and delta is a punishment cost coefficient of the carbon emission, and the unit is Yuan/kg; t is the total time segment number of a complete scheduling period, and T is the scheduling time interval.
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