CN116402295B - Mine comprehensive energy system optimal scheduling method and system for electric-to-gas mixing coal bed gas - Google Patents
Mine comprehensive energy system optimal scheduling method and system for electric-to-gas mixing coal bed gas Download PDFInfo
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Abstract
The application discloses a mine comprehensive energy system optimization scheduling method and system for electric-to-gas mixing coal bed gas, wherein the method comprises the following steps: mixing high-concentration gas converted by electric conversion, wind-abandoning and light-abandoning with coal bed gas containing low-concentration gas, and simultaneously reforming an idle underground space of a mine into an underground gas storage to perform gas mixing in cooperation with electric conversion gas so as to form different-concentration gas mixing utilization modes of electric conversion gas-coal bed gas-underground gas storage mutual coupling; according to mine comprehensive energy system parameters and different concentration gas mixing utilization modes, establishing an optimal scheduling model of the mine comprehensive energy system of the electric-to-gas mixing coal bed gas; and calling a solver to solve through the established mine comprehensive energy system optimization scheduling model. The application establishes an optimization scheduling model of the mine comprehensive energy system considering the cooperation of the electric conversion gas, the coal bed gas and the underground gas storage, comprehensively considers various operation constraints, and optimally coordinates the operation of various energy conversion devices.
Description
Technical Field
The application belongs to the optimized operation technology of a comprehensive energy system, and particularly relates to an optimized dispatching method and system of a mine comprehensive energy system of electric-to-gas mixing coal bed methane.
Background
Coal is used as main energy source of China, and has the characteristics of high energy consumption and high pollution, so that how to improve the utilization efficiency of coal mine energy, reduce environmental pollution in the energy process of coal mine and realize low-carbon energy supply of coal mine is a common social concern under a double-carbon target. The mine comprehensive energy system accurately matches the energy production of the coal mine source end and the energy consumption of the load end by integrating the multi-time-space distributed resources of the coal mine, so as to realize the coordinated planning, the optimized operation and the complementary interaction among various heterogeneous energy subsystems of the coal mine; the method can meet the requirement of diversified energy consumption of the coal mine, and simultaneously improve the utilization efficiency of the whole energy of the coal mine, the economy and the environmental benefit, thereby being an important development direction for realizing low-carbon energy supply of the coal mine.
Coal associated resources such as coal bed gas, ventilation air methane, water burst and the like can be generated in the coal mining process, and recycling of the coal associated resources is widely focused in recent years. The coal in the coal mine is rich in associated resources, a large amount of chemical energy and heat energy are accumulated in the coal mine, and the coal mine can be converted into energy sources such as electricity, heat and the like for production and life through efficient energy conversion devices such as a heat storage oxidation device, an air source heat pump, a water source heat pump and the like. However, the amount of coalbed methane gas in different coal mines is different, and a uniform resource utilization mode is difficult to form. Meanwhile, most of coal resources in China are distributed in North China and northwest China, and a large amount of renewable energy sources are distributed in the regions, so that the traditional new energy source absorption method is difficult to effectively utilize in a coal mine energy system due to the particularity of coal mine production and endogenous resources. Therefore, the coal mine associated resource differential recovery mode and the wind and light absorption requirement need to be fully considered in the optimal scheduling process of the mine comprehensive energy system. At present, coal mine comprehensive energy systems are used for independently recycling coal bed gas, and are not considered to be mixed with high-concentration gas produced by electric conversion gas, and meanwhile, a structure for utilizing underground gas storage and electric conversion gas to cooperatively operate is not seen.
Therefore, an optimal scheduling method for the mine comprehensive energy system of the electric-to-gas mixed coal bed gas is urgently needed, and is used for solving the problems of mixing of different concentration gas in optimal scheduling and cooperative operation of an underground gas storage and the electric-to-gas mixed coal bed gas, and improving the operation economy, the utilization efficiency of associated resources and the wind-light absorption level of the mine comprehensive energy system.
Disclosure of Invention
Aiming at the problems in the prior art, the application provides an optimized dispatching method and system for an electric-to-gas mixed coal bed methane mine comprehensive energy system.
In order to achieve the above purpose, the present application is realized by the following technical scheme:
the application provides an optimized dispatching method of a mine comprehensive energy system of electric-to-gas mixed coal bed gas, which comprises the following steps:
mixing high-concentration gas converted by electric conversion, wind-abandoning and light-abandoning with coal bed gas containing low-concentration gas, and simultaneously reforming an idle underground space of a mine into an underground gas storage to perform gas mixing in cooperation with electric conversion gas so as to form different-concentration gas mixing utilization modes of electric conversion gas-coal bed gas-underground gas storage mutual coupling;
according to the composition, parameters and different concentration gas mixing utilization modes of the mine comprehensive energy system, establishing an optimal scheduling model of the mine comprehensive energy system of the electric-to-gas mixing coal bed gas;
calling a solver to solve through the established mine comprehensive energy system optimization scheduling model; the solving result comprises the total running cost of the system, the abandoned wind and abandoned light rate, the running condition of the electric gas conversion and underground gas storage, the power balance condition of the system, and the gas concentration and flow change condition before and after blending.
In one embodiment, the mode of utilization of the different concentration gas blending of the electric conversion gas-coal bed gas-underground gas storage is expressed as follows:
in the method, in the process of the application,the total amount of high-concentration gas produced by electric conversion gas at the moment t; a is the conversion of electricity to gas output gas power to tileConversion coefficient of the si volume; />The high-concentration gas produced by the electric conversion gas at the moment t participates in the mixed gas flow; />The gas injection flow of the underground gas storage at the moment t; />The flow rate of the high-concentration gas mixed at the moment t; />The gas release flow of the underground gas storage at the moment t; />The volume of the mixed gas at the time t; />And (5) extracting the air flow of the coal bed at the time t.
In one embodiment, the mine integrated energy system composition comprises: the system comprises a fan power generation unit, a photovoltaic power generation unit, a power grid power supply unit, a coal bed gas utilization unit, a ventilation air utilization unit, a water inflow utilization unit, an electric conversion unit, a gas blending unit, a heat storage oxidation unit, a water source heat pump unit, a gas turbine unit, a waste heat boiler unit, an absorption refrigerator unit, an underground gas storage unit, a heat storage device unit, an electric load unit, a heat load unit and a cold load unit.
In one embodiment, the mine integrated energy system parameters include: the method comprises the following steps of predicting values of electric load, heat load, cold load, fan output, photovoltaic output, coalbed methane, ventilation air methane and water burst, and initial values of system equipment composition, equipment operation parameters and current stored gas quantity of an underground gas storage.
In one embodiment, the mine comprehensive energy system optimization scheduling model of the electric conversion gas blended coal bed gas is as follows: the minimum running cost of the mine comprehensive energy system in a scheduling period is an objective function and a plurality of constraints; the minimum running cost in one scheduling period is an objective function:
minC2C 1 +C 2 +C 3 +C 4
in C, C 1 、C 2 、C 3 、C 4 The system is respectively the total running cost, electricity purchasing cost, equipment operation and maintenance cost, wind and light discarding punishment cost and the initial capacity natural gas purchasing cost in the underground gas storage; t is the total time period number of 1 complete scheduling period;purchasing electric power for the system at the time t; />The electricity price at the time t; mu (mu) PV 、μ WT 、μ GT 、μ WHB 、μ UGS 、μ P2G 、μ WSHP 、μ RTO 、μ AC 、μ HSD The unit maintenance cost of the photovoltaic device, the fan, the gas turbine, the waste heat boiler, the underground gas storage, the electric conversion gas, the water source heat pump, the heat storage oxidation device, the absorption refrigerator and the heat storage device is respectively; /> The output power of the photovoltaic, the fan, the gas turbine, the waste heat boiler, the electric conversion gas, the heat storage oxidation device and the absorption refrigerator at the moment t respectively;the gas release and injection flow in the underground gas storage at the moment t are respectively; />The surge quantity at the moment t;the heat storage power is stored and stored by the heat storage device at the moment t respectively; k (k) PV 、k wT Penalty coefficients for light and wind rejection are respectively;respectively obtaining predicted values of output power of the photovoltaic and the fan at the moment t; />Initial capacity for underground reservoirs; p is p G Is the price of natural gas;
the plurality of constraints includes: the operation constraint of the underground gas storage and the balanced constraint of the high-concentration gas blending of the coalbed methane.
In one embodiment, the underground gas storage operation constraints are:
in the method, in the process of the application,the gas storage amounts in the underground gas storage at the time t and the time t-1 are respectively; />Respectively the gas injection flow and the release flow of the underground gas storage at the moment t; />The minimum and maximum injection flow of the underground gas storage are respectively; />The minimum and maximum release flow of the underground gas storage are respectively; />And the variable is 0/1, which respectively represents the state of gas injection and gas release of the underground gas storage at the moment t, wherein 0 represents closing and 1 represents opening.
In one embodiment, the coalbed methane blending high concentration gas balance constraint is:
in the method, in the process of the application,the volume of the mixed gas at the time t; />The high-concentration gas produced by the electric conversion gas at the moment t participates in the mixed gas flow; />The gas release flow of the underground gas storage at the moment t; />The air flow of the coal seam is extracted at the moment t; />Injecting gas flow into the gas turbine at the time t; />The gas concentration injected into the gas turbine at the time t; />The concentration of gas is produced for the electric conversion gas at the time t; />The gas concentration in the coal bed gas extracted at the time t; />Respectively, the minimum and the maximum gas concentrations required for ensuring the normal combustion power generation of the gas turbine.
In one embodiment, the plurality of operational constraints further comprises: thermal storage oxidation device operation constraint, gas turbine operation constraint, electric power conversion operation constraint, water source heat pump operation constraint, absorption refrigerator operation constraint, waste heat boiler operation constraint, thermal storage device operation constraint and system power balance constraint.
In one embodiment, the solver is a GUROBI solver.
The application also provides an optimized dispatching system of the mine comprehensive energy system of the electric-to-gas mixed coal bed gas, which comprises the following components: the system comprises a mode module for mixing and utilizing different concentration gas, a mine comprehensive energy system optimizing and scheduling model module and a solving module;
the different-concentration gas mixing and utilizing mode module is used for mixing high-concentration gas converted by electric conversion gas absorption waste wind waste light and coal bed gas containing low-concentration gas, and simultaneously reforming an idle underground space of a mine into an underground gas storage to cooperate with electric conversion gas for gas mixing so as to form different-concentration gas mixing and utilizing modes of mutual coupling of electric conversion gas, coal bed gas and underground gas storage;
the mine comprehensive energy system optimizing and scheduling model module is used for establishing a mine comprehensive energy system optimizing and scheduling model of the electric-to-gas mixing coal bed gas according to mine comprehensive energy system parameters and different concentration gas mixing and utilizing modes;
the solving module is used for calling the solver to solve through the established mine comprehensive energy system optimization scheduling model; the solving result comprises the total running cost of the system, the abandoned wind and abandoned light rate, the running condition of the electric gas conversion and underground gas storage, the power balance condition of the system, and the gas concentration and flow change condition before and after blending.
The application has the beneficial effects that:
the optimized scheduling method of the mine comprehensive energy system considering the electric conversion gas blended coal bed gas is based on solving the optimized scheduling problem of coal-containing associated resource utilization and wind-light absorption requirements of the mine comprehensive energy system, fully considering the lifting effect of the electric conversion gas blended coal bed gas on the associated resource utilization rate and wind-light absorption, the multi-loop operation constraint of the system and the coordination between the electric conversion gas and the underground gas storage, forming a new energy absorption mode with vivid coal mine characteristics, establishing an optimized scheduling model of the mine comprehensive energy system including the electric conversion gas, the underground gas storage and the gas blending, and obtaining a mine daily scheduling plan by calling a related mathematical solver to solve.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application. It is evident that the drawings in the following description are only examples, from which other drawings can be obtained by a person skilled in the art without the inventive effort.
FIG. 1 is a flowchart of a method for optimizing and scheduling an electric conversion gas-blended coal bed gas mine comprehensive energy system according to an embodiment of the application;
FIG. 2 is a diagram of a multi-resource recycling architecture of the mine integrated energy system provided by an embodiment of the application;
FIG. 3 is a diagram showing the distribution results of gas during coordinated operation of the electric power conversion and the underground gas storage according to one embodiment of the present application;
FIG. 4 is a diagram of electric power balance of the mine integrated energy system according to an embodiment of the present application;
FIG. 5 is a thermal power balance diagram of a mine integrated energy system according to one embodiment of the present application;
FIG. 6 is a diagram of the cold power balance of the mine integrated energy system according to one embodiment of the present application;
FIG. 7 is a graph showing the variation of the concentration and flow rate of the gas before and after blending according to an embodiment of the present application.
It should be noted that these drawings and the written description are not intended to limit the scope of the inventive concept in any way, but to illustrate the inventive concept to those skilled in the art by referring to the specific embodiments.
Detailed Description
The application provides a mine comprehensive energy system optimization scheduling method considering electric conversion gas blending coal bed gas, which is described in detail below with reference to the embodiment and the attached drawings.
The application relates to an optimized dispatching method of a mine comprehensive energy system considering electric-to-gas mixing coal bed gas, which is shown in fig. 1, and specifically comprises the following steps:
step S100: mixing high-concentration gas converted by electric conversion, wind-abandoning and light-abandoning with coal bed gas containing low-concentration gas, and simultaneously reforming an idle underground space of a mine into an underground gas storage to perform gas mixing in cooperation with electric conversion gas so as to form different-concentration gas mixing utilization modes of electric conversion gas-coal bed gas-underground gas storage mutual coupling;
in the embodiment of the application, the blending and utilizing modes of different concentration gas which are mutually coupled by the electric conversion gas, the coal bed gas and the underground gas storage are expressed as follows:
in the method, in the process of the application,the total amount of high-concentration gas produced by electric conversion gas at the moment t; a is a conversion coefficient of converting electric conversion gas output gas power into gas volume; />The high-concentration gas produced by the electric conversion gas at the moment t participates in the mixed gas flow; />The gas injection flow of the underground gas storage at the moment t; />The flow rate of the high-concentration gas mixed at the moment t; />The gas release flow of the underground gas storage at the moment t; />The volume of the mixed gas at the time t; />And (5) extracting the air flow of the coal bed at the time t.
Further, the mine comprehensive energy system comprises the following components: the system comprises a fan power generation unit, a photovoltaic power generation unit, a power grid power supply unit, a coal bed gas utilization unit, a ventilation air utilization unit, a water inflow utilization unit, an electric conversion unit, a gas blending unit, a heat storage oxidation unit, a water source heat pump unit, a gas turbine unit, a waste heat boiler unit, an absorption refrigerator unit, an underground gas storage unit, a heat storage device unit, an electric load unit, a heat load unit and a cold load unit.
Further, mine comprehensive energy system parameters include: the method comprises the following steps of predicting values of electric load, heat load, cold load, fan output, photovoltaic output, coalbed methane, ventilation air methane and water burst, and initial values of system equipment composition, equipment operation parameters and current stored gas quantity of an underground gas storage.
Specifically, in this embodiment, firstly, the predicted values of the electrical load, the thermal load, the cold load, the fan output, the photovoltaic output, the coalbed methane, the ventilation air methane and the water burst of the system in a scheduling period are input; and then inputting the initial values of variables or parameters such as the system equipment composition, equipment operation parameters, the current stored gas quantity of the underground gas storage and the like. Wherein, the fan, the photovoltaic, the power grid and the gas turbine meet the power requirement; the waste heat boiler and the heat storage device meet the heat load requirement; the absorption refrigerator and the water source heat pump meet the cold load requirement; the heat accumulating oxidation device converts chemical energy in the ventilation air methane into heat energy in a catalytic oxidation mode; the electric gas conversion device performs methanation reaction by consuming electric energy to generate high-concentration gas, part of the high-concentration gas and coal bed gas are mixed, and the rest part of the high-concentration gas is injected into an underground gas storage for storage; the underground gas storage provides a high-concentration gas source in the stage of power-to-gas shutdown; the gas turbine generates electricity by burning the mixed gas, and the generated waste heat is absorbed by a waste heat boiler/an absorption refrigerator for heating/cooling. The multi-resource recycling architecture of the mine comprehensive energy system is shown in fig. 2, and detailed parameters of system equipment are shown in table 1.
Table 1 System composition and parameters
Step S200: according to the composition, parameters and different concentration gas mixing utilization modes of the mine comprehensive energy system, establishing an optimal scheduling model of the mine comprehensive energy system of the electric-to-gas mixing coal bed gas;
coal mines in China are mostly distributed in areas with rich new energy power generation resources, such as northwest and North China, and a large amount of wind and light discarding phenomena often exist; the coal mine resource endowment comprises traditional coal resources and coal associated resources such as coal bed gas, ventilation air methane and water burst derived in the coal exploitation process; the coal mine has unique geological characteristics, and a large amount of idle underground space is often formed underground in the exploitation process. Combining the factors, adopting the waste wind and waste light in the electric conversion gas absorption system and converting the waste wind and waste light into high-concentration gas for mixing with coal bed gas containing low-concentration gas; meanwhile, the underground idle space of the coal mine is utilized to be transformed into an underground gas storage, the underground gas storage has the functions of providing high-concentration gas supplement when high-concentration gas produced by electric conversion gas is insufficient in the mixing process, and storing when excessive high-concentration gas is produced by electric conversion gas, so that different-concentration gas mixing utilization modes of electric conversion gas-coal bed gas-underground gas storage in mutual coupling are formed, wind and light absorption of a comprehensive energy system of the mine is effectively promoted, and the utilization efficiency of coal associated resources is improved.
The electric conversion gas-coal bed gas-underground gas storage is mutually coupled in different concentration gas mixing utilization modes, wherein the electric conversion gas has the functions of absorbing abandoned wind and abandoned light in the system and converting the abandoned wind and abandoned light into high concentration gas for mixing coal bed gas containing low concentration gas, and the underground gas storage has the functions of providing high concentration gas supplement when the high concentration gas produced by the electric conversion gas is insufficient in the mixing process and storing when the electric conversion gas generates excessive high concentration gas, so that the wind and light absorption of a mine comprehensive energy system is effectively promoted, and the utilization efficiency of coal associated resources is improved.
In the embodiment of the application, the mine comprehensive energy system optimization scheduling model of the electric conversion gas blended coal bed gas is as follows: the minimum running cost of the mine comprehensive energy system in one scheduling period is an objective function and a plurality of constraints.
The minimum running cost in a scheduling period is an objective function:
minC＝C 1 +C 2 +C 3 +C 4 (5)
in C, C 1 、C 2 、C 3 、C 4 The system is respectively the total running cost, electricity purchasing cost, equipment operation and maintenance cost, wind and light discarding punishment cost and the initial capacity natural gas purchasing cost in the underground gas storage; t is the total time period number of 1 complete scheduling period;purchasing electric power for the system at the time t; />The electricity price at the time t; mu (mu) PV 、μ WT 、μ GT 、μ WHB 、μ UGS 、μ P2G 、μ WSHP 、μ RTO 、μ AC 、μ HSD The unit maintenance cost of the photovoltaic device, the fan, the gas turbine, the waste heat boiler, the underground gas storage, the electric conversion gas, the water source heat pump, the heat storage oxidation device, the absorption refrigerator and the heat storage device is respectively; /> The output power of the photovoltaic, the fan, the gas turbine, the waste heat boiler, the electric conversion gas, the heat storage oxidation device and the absorption refrigerator at the moment t respectively; />The gas release and injection flow in the underground gas storage at the moment t are respectively; />The surge quantity at the moment t;the heat storage power is stored and stored by the heat storage device at the moment t respectively; k (k) PV 、k WT Penalty coefficients for light and wind rejection are respectively;respectively obtaining predicted values of output power of the photovoltaic and the fan at the moment t; />Initial capacity for underground reservoirs; p is p G Is the price of natural gas.
The plurality of constraints includes: the operation constraint of the underground gas storage and the balanced constraint of the high-concentration gas blending of the coalbed methane.
Further, the underground gas storage operation constraints are:
in the method, in the process of the application,the gas storage amounts in the underground gas storage at the time t and the time t-1 are respectively; />Respectively the gas injection flow and the release flow of the underground gas storage at the moment t; />The minimum and maximum injection flow of the underground gas storage are respectively; />The minimum and maximum release flow of the underground gas storage are respectively; />And the variable is 0/1, which respectively represents the state of gas injection and gas release of the underground gas storage at the moment t, wherein 0 represents closing and 1 represents opening.
Further, the equilibrium constraint of the high-concentration gas blending of the coal bed gas is as follows:
in the method, in the process of the application,the volume of the mixed gas at the time t; />The high-concentration gas produced by the electric conversion gas at the moment t participates in the mixed gas flow; />The gas release flow of the underground gas storage at the moment t; />The air flow of the coal seam is extracted at the moment t; />Injecting gas flow into the gas turbine at the time t; />The gas concentration injected into the gas turbine at the time t; />The concentration of gas is produced for the electric conversion gas at the time t; />The gas concentration in the coal bed gas extracted at the time t; />Respectively, the minimum and the maximum gas concentrations required for ensuring the normal combustion power generation of the gas turbine.
In one possible implementation, the plurality of operational constraints further includes: thermal storage oxidation device operation constraint, gas turbine operation constraint, electric power conversion operation constraint, water source heat pump operation constraint, absorption refrigerator operation constraint, waste heat boiler operation constraint, thermal storage device operation constraint and system power balance constraint.
Further, the thermal storage oxidation device operation constraint is:
in the method, in the process of the application,the output heat power of the heat accumulating and oxidizing device at the time t and the time t-1 respectively; η (eta) RTO The heat conversion efficiency of the heat storage oxidation device; />For CH in VAM at time t 4 Concentration; c (C) CH4 Is the lower calorific value of the gas; />The ventilation air flow rate is input into the heat storage oxidation device at the moment t; />The maximum output thermal power of the thermal storage oxidation device is the same as the above; />The upper limit and the lower limit of the climbing power of the heat storage oxidation device are respectively the same.
Further, the gas turbine operating constraints are:
in the method, in the process of the application,the output electric power of the gas turbine at the time t and the time t-1 respectively; η (eta) GT The power generation efficiency of the gas turbine; />The gas concentration input into the gas turbine at time t; />The gas flow rate input into the gas turbine at the time t; />The power is the power of the waste heat output by the gas turbine at the moment t; />Is the heat loss coefficient of the gas turbine.
Further, the electrical transfer operation constraints are:
in the method, in the process of the application,generating gas power for the electricity to gas conversion at the moment t; η (eta) P2G The conversion efficiency of the electric conversion gas is achieved; />The electric power is input for the electric conversion gas at the time t.
Further, the underground gas storage operation constraints are:
in the method, in the process of the application,the gas storage amounts in the underground gas storage at the time t and the time t-1 are respectively; />Respectively the gas injection flow and the release flow of the underground gas storage at the moment t; />The minimum and maximum injection flow of the underground gas storage are respectively; />The minimum and maximum release flow of the underground gas storage are respectively; />And the variable is 0/1, which respectively represents the state of gas injection and gas release of the underground gas storage at the moment t, wherein 0 represents closing and 1 represents opening.
Further, the water source heat pump operation constraint is:
in the method, in the process of the application,the refrigeration power of the water source heat pump at the time t and the time t-1 respectively; η (eta) WSHP The refrigeration correlation coefficient of the water source heat pump; />Is the water inflow at the time t of the system.
Further, the absorption chiller operating constraints are:
in the method, in the process of the application,the refrigerating power of the absorption refrigerator at the time t and the time t-1 respectively; />The energy efficiency coefficient of the absorption refrigerator; />And (5) inputting power for the waste heat of the absorption refrigerator at the moment t.
Further, the waste heat boiler operation constraint is:
in the method, in the process of the application,the heat generating power of the waste heat boiler at the time t and the time t-1 respectively; />The heating energy efficiency coefficient of the waste heat boiler; />And (5) inputting power for waste heat of the waste heat boiler at the moment t.
Further, the thermal storage device operating constraints are:
in the method, in the process of the application,the heat accumulation amounts of the heat accumulation devices at the time t and the time t-1 are respectively; />The self-loss rate, the heat accumulation and the heat release efficiency of the heat accumulation device are respectively;/>the heat storage power and the heat release power of the heat storage device at the moment t are respectively;the variable 0/1 indicates the open/closed state of the heat storage device at time t.
Further, the system power balance constraint is:
in the method, in the process of the application,respectively the power of the photovoltaic and the fan consumed by the system at the moment t; />The electricity purchasing amount of the system is at the time t; />And the requirements of the system on electricity, heat and cold load at the moment t are respectively met.
Step S300: calling a solver to solve through the established mine comprehensive energy system optimization scheduling model; the solving result comprises the total running cost of the system, the abandoned wind and abandoned light rate, the running condition of the electric gas conversion and underground gas storage, the power balance condition of the system, and the gas concentration and flow change condition before and after blending.
Further, the solver is a GUROBI solver.
The application establishes an optimized dispatching method of the mine comprehensive energy system considering the electric-to-gas mixing coal bed gas, and adopts a related solver to solve the problem, thereby obtaining a system operation scheme in a dispatching period.
In one embodiment, a mine integrated energy system optimization scheduling system for electric conversion gas blending coal bed gas is provided, the system comprises: the system comprises a mode module for mixing and utilizing different concentration gas, a mine comprehensive energy system optimizing and scheduling model module and a solving module;
the device comprises a different-concentration gas mixing and utilizing mode module, a gas mixing and utilizing module and a gas mixing and utilizing module, wherein the different-concentration gas mixing and utilizing mode module is used for mixing high-concentration gas converted by electric conversion gas absorption, wind abandoning and light abandoning with coalbed methane containing low-concentration gas, and simultaneously utilizing the idle underground space of a mine to reform an underground gas storage to cooperate with electric conversion gas for carrying out gas mixing so as to form different-concentration gas mixing and utilizing modes of mutual coupling of electric conversion gas, coalbed methane and underground gas storage;
the mine comprehensive energy system optimizing and scheduling model module is used for establishing a mine comprehensive energy system optimizing and scheduling model of the electric-to-gas mixing coal bed gas according to mine comprehensive energy system parameters and different concentration gas mixing and utilizing modes;
the solving module is used for calling the solver to solve through the established mine comprehensive energy system optimization scheduling model; the solving result comprises the total running cost of the system, the abandoned wind and abandoned light rate, the running condition of the electric gas conversion and underground gas storage, the power balance condition of the system, and the gas concentration and flow change condition before and after blending.
It should be noted that, when executing the mine comprehensive energy system optimization scheduling method of electric conversion gas blending coal bed gas, the mine comprehensive energy system optimization scheduling system of electric conversion gas blending coal bed gas provided in the above embodiment is only exemplified by the division of the above functional modules, in practical application, the above functional allocation may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the functions described above. In addition, the embodiment of the mine comprehensive energy system optimization scheduling system for electric conversion gas blending coal bed gas and the embodiment of the mine comprehensive energy system optimization scheduling method for electric conversion gas blending coal bed gas provided in the above embodiments belong to the same conception, and the implementation process is embodied in the embodiment of the mine comprehensive energy system optimization scheduling method for electric conversion gas blending coal bed gas, which is not described herein again.
Aiming at the characteristics that the system needs to recycle coal associated resources and absorb wind and light, compared with the operation conditions of the system under different system configuration schemes, the scheme 1 is not provided with electric conversion gas and underground gas storage, the scheme 2 is provided with electric conversion gas only, the scheme 3 is provided with underground gas storage, and the scheme 4 is provided with electric conversion gas and underground gas storage at the same time, and the operation results are shown in table 2.
Table 2 comparison of results of different system configuration schemes run
The computer hardware environment for executing the optimization calculation is Inter (R) Core (TM) i7-11370H, the main frequency is 3.30GHz, and the memory is 16GB; the software environment is Windows 11 operating system.
Comparing the operation results of the scheme 1 and the scheme 2 in different system configuration schemes, the operation scheduling cost of the system can be increased by adopting a single electric conversion gas to perform optimal scheduling due to the reasons of high maintenance cost and high power consumption of the electric conversion gas; comparing the operation results of the schemes 1 and 3, it can be known that only the underground gas storage is equipped to consume the abandoned wind and the abandoned light, and the total operation cost of the system is increased because the gas passes through the underground gas storage to generate additional operation and maintenance cost.
Compared with the scheme 1 and the scheme 4, the scheme 4 is provided with the electric conversion gas and the underground gas storage, the complementary operation of the electric conversion gas and the underground gas storage is coordinated through a scheduling strategy, the total operation cost of the system is greatly reduced, and the economic efficiency and the abandoned wind and abandoned light absorption effect are best in all schemes. According to the comparison analysis, the electric conversion gas and the underground gas storage are configured at the same time, so that the running cost of the system can be reduced, the wind-light absorbing capacity of the system is improved, the running of the electric conversion gas and the underground gas storage can be coordinated well through an optimized scheduling strategy, the superiority of coordination and complementation among various devices is brought into play, the economic improvement potential is fully excavated, and the method has good application value.
FIG. 3 is a graph showing the gas distribution results during coordinated operation of the electric power conversion and the underground gas storage. In FIG. 3, during the period (20:00-06:00) when no abandoned wind and light exist, the system blends high-concentration gas stored in the underground gas storage with coal bed gas, so that the normal operation of the gas turbine is ensured; and in the period of wind and light abandoning, under the condition that the mixing requirement is preferentially ensured, the redundant gas is injected into the underground gas storage for storage under the condition that the high-concentration gas produced by the electric conversion gas. Therefore, the gas storage amount of the underground gas storage is in a trend of decreasing before increasing and then decreasing. Fig. 4 is an electric power balance diagram of the mine integrated energy system. In FIG. 4, mining areas are scheduled for overhaul at 11:00-16:00, with no coal mining being done during the overhaul period. The electric load demand is the lowest level in the whole day in the period of 10:00-12:00, and at the moment, the photovoltaic output peak is positive, and a large amount of waste light power exists; similarly, the situation that wind and light output is larger than electric load demand exists in the time periods of 07:00-09:00 and 14:00-19:00, and the electric conversion gas converts the part of waste wind and waste light into high-concentration gas for storage and consumption. In the period of 22:00-05:00, because the wind-light output is lower, the electric power is deficient, and most of the electric power is deficient and complemented by the electricity purchasing of the power grid under the influence of peak-valley electricity price. Fig. 5 is a thermal power balance diagram of the mine integrated energy system.
In fig. 5, the heat load requirement of the system is mainly supplied by a waste heat boiler, and a heat storage device is arranged to adjust the time-space distribution imbalance of the heat energy of the system. In the periods of 21:00-23:00 and 01:00-05:00, the heating power of the waste heat boiler is larger than the heating power required by the system, so that the heat storage device stores the excessive heating power; when the thermal power of the system is deficient in the periods of 06:00-10:00 and 24:00, the thermal energy of the system is well reduced, and the effect of the thermal energy storage device on peak clipping and valley filling is better realized. FIG. 6 is a diagram of the cold power balance of the mine integrated energy system. In fig. 6, the system cooling load demand is mostly provided by the absorption chiller, with the remainder being provided by the water source heat pump. FIG. 7 is a graph showing the change in gas concentration and flow rate before and after blending. In FIG. 7, the gas concentration in the coalbed methane is lower, and the blended gas concentration is improved by blending with the high-concentration gas so as to meet the combustion standard of the gas turbine; the volume of the mixed gas is the sum of the gas flow of the coal bed and the gas flow of the high concentration.
According to the application, the electric gas conversion wind-light absorption and the utilization of coal associated resources are closely related, the utilization efficiency of the associated resources is obviously improved through the cooperation and complementation of the electric gas conversion and the underground gas storage by the gas blending of different concentrations, the wind-light absorption capacity of the system is enhanced, and the running and scheduling cost of the system is reduced.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
The foregoing description is only illustrative of the preferred embodiment of the present application, and is not to be construed as limiting the application, but is to be construed as limiting the application to any simple modification, equivalent variation and variation of the above embodiments according to the technical matter of the present application without departing from the scope of the application.
Claims (6)
1. An optimized dispatching method for a mine comprehensive energy system of electric-to-gas mixing coal bed gas is characterized by comprising the following steps:
mixing high-concentration gas converted by electric conversion, wind-abandoning and light-abandoning with coal bed gas containing low-concentration gas, and simultaneously reforming an idle underground space of a mine into an underground gas storage to perform gas mixing in cooperation with electric conversion gas so as to form different-concentration gas mixing utilization modes of electric conversion gas-coal bed gas-underground gas storage mutual coupling;
according to the composition, parameters and different concentration gas mixing utilization modes of the mine comprehensive energy system, establishing an optimal scheduling model of the mine comprehensive energy system of the electric-to-gas mixing coal bed gas;
calling a solver to solve through the established mine comprehensive energy system optimization scheduling model; the solving result comprises the total running cost of the system, the abandoned wind and abandoned light rate, the running condition of the electric gas conversion and underground gas storage, the power balance condition of the system, and the gas concentration and flow change condition before and after blending;
the mixing and utilizing modes of the electric conversion gas, the coal bed gas and the underground gas storage are as follows:
in the method, in the process of the application,the total amount of high-concentration gas produced by electric conversion gas at the moment t; a is a conversion coefficient of converting electric conversion gas output gas power into gas volume; />The high-concentration gas produced by the electric conversion gas at the moment t participates in the mixed gas flow;the gas injection flow of the underground gas storage at the moment t; />The flow rate of the high-concentration gas mixed at the moment t; />The gas release flow of the underground gas storage at the moment t; />The volume of the mixed gas at the time t; />The air flow of the coal seam is extracted at the moment t;
the mine comprehensive energy system optimization scheduling model of the electric conversion gas blending coal bed gas is as follows: the minimum running cost of the mine comprehensive energy system in a scheduling period is an objective function and a plurality of constraints; the minimum running cost in one scheduling period is an objective function:
minC＝C1+C2+C3+C4
in C, C 1 、C 2 、C 3 、C 4 The system is respectively the total running cost, electricity purchasing cost, equipment operation and maintenance cost, wind and light discarding punishment cost and the initial capacity natural gas purchasing cost in the underground gas storage; t is the total time period number of 1 complete scheduling period;purchasing electric power for the system at the time t; />The electricity price at the time t; mu (mu) PV 、μ WT 、μ GT 、μ WHB 、μ UGS 、μ P2G 、μ WSHP 、μ RTO 、μ AC 、μ HSD The unit maintenance cost of the photovoltaic device, the fan, the gas turbine, the waste heat boiler, the underground gas storage, the electric conversion gas, the water source heat pump, the heat storage oxidation device, the absorption refrigerator and the heat storage device is respectively; />The output power of the photovoltaic, the fan, the gas turbine, the waste heat boiler, the electric conversion gas, the heat storage oxidation device and the absorption refrigerator at the moment t respectively;the gas release and injection flow in the underground gas storage at the moment t are respectively; />The surge quantity at the moment t;the heat storage power is stored and stored by the heat storage device at the moment t respectively; k (k) PV 、k WT Penalty coefficients for light and wind rejection are respectively;respectively obtaining predicted values of output power of the photovoltaic and the fan at the moment t; />Initial capacity for underground reservoirs; p is p G Is the price of natural gas;
the plurality of constraints includes: the operation constraint of the underground gas storage and the balance constraint of the coalbed methane blending high-concentration gas;
the operation constraint of the underground gas storage is as follows:
in the method, in the process of the application,the gas storage amounts in the underground gas storage at the time t and the time t-1 are respectively; />Respectively the gas injection flow and the release flow of the underground gas storage at the moment t; />The minimum and maximum injection flow of the underground gas storage are respectively; />The minimum and maximum release flow of the underground gas storage are respectively; />The variable is 0/1, which respectively represents the state of the underground gas storage in injecting and releasing gas at the moment t, 0 represents closing and 1 represents opening;
the equilibrium constraint of the coalbed methane blending high-concentration gas is as follows:
in the method, in the process of the application,the volume of the mixed gas at the time t; />The high-concentration gas produced by the electric conversion gas at the moment t participates in the mixed gas flow; />The gas release flow of the underground gas storage at the moment t; />The air flow of the coal seam is extracted at the moment t; />Injecting gas flow into the gas turbine at the time t; />The gas concentration injected into the gas turbine at the time t; />The concentration of gas is produced for the electric conversion gas at the time t; />The gas concentration in the coal bed gas extracted at the time t;respectively, the minimum and the maximum gas concentrations required for ensuring the normal combustion power generation of the gas turbine.
2. The method for optimized dispatching of the mine integrated energy system of electric-to-gas blended coal bed gas according to claim 1, wherein the mine integrated energy system comprises the following components: the system comprises a fan power generation unit, a photovoltaic power generation unit, a power grid power supply unit, a coal bed gas utilization unit, a ventilation air utilization unit, a water inflow utilization unit, an electric conversion unit, a gas blending unit, a heat storage oxidation unit, a water source heat pump unit, a gas turbine unit, a waste heat boiler unit, an absorption refrigerator unit, an underground gas storage unit, a heat storage device unit, an electric load unit, a heat load unit and a cold load unit.
3. The method for optimized dispatching of mine integrated energy system of electric-to-gas blended coalbed methane of claim 1, wherein the mine integrated energy system parameters include: the method comprises the following steps of predicting values of electric load, heat load, cold load, fan output, photovoltaic output, coalbed methane, ventilation air methane and water burst, and initial values of system equipment composition, equipment operation parameters and current stored gas quantity of an underground gas storage.
4. The method for optimized scheduling of an electrical-to-gas blended coalbed methane mine integrated energy system of claim 3, wherein said plurality of operational constraints further comprises:
thermal storage oxidation device operation constraint, gas turbine operation constraint, electric power conversion operation constraint, water source heat pump operation constraint, absorption refrigerator operation constraint, waste heat boiler operation constraint, thermal storage device operation constraint and system power balance constraint.
5. The method for optimized scheduling of an electrical-to-gas blended coalbed methane mine comprehensive energy system of claim 1, wherein said solver is a GUROBI solver.
6. An optimized dispatching system for an electric-to-gas blended coal bed methane mine comprehensive energy system is characterized by comprising: the system comprises a mode module for mixing and utilizing different concentration gas, a mine comprehensive energy system optimizing and scheduling model module and a solving module;
the different-concentration gas mixing and utilizing mode module is used for mixing high-concentration gas converted by electric conversion gas absorption waste wind waste light and coal bed gas containing low-concentration gas, and simultaneously reforming an idle underground space of a mine into an underground gas storage to cooperate with electric conversion gas for gas mixing so as to form different-concentration gas mixing and utilizing modes of mutual coupling of electric conversion gas, coal bed gas and underground gas storage;
the mine comprehensive energy system optimizing and scheduling model module is used for establishing a mine comprehensive energy system optimizing and scheduling model of the electric-to-gas mixing coal bed gas according to mine comprehensive energy system parameters and different concentration gas mixing and utilizing modes;
the solving module is used for calling the solver to solve through the established mine comprehensive energy system optimization scheduling model; the solving result comprises the total running cost of the system, the abandoned wind and abandoned light rate, the running condition of the electric gas conversion and underground gas storage, the power balance condition of the system, and the gas concentration and flow change condition before and after blending;
the mixing and utilizing modes of the electric conversion gas, the coal bed gas and the underground gas storage are as follows:
in the method, in the process of the application,the total amount of high-concentration gas produced by electric conversion gas at the moment t; a is a conversion coefficient of converting electric conversion gas output gas power into gas volume; />The high-concentration gas produced by the electric conversion gas at the moment t participates in the mixed gas flow;the gas injection flow of the underground gas storage at the moment t; />The flow rate of the high-concentration gas mixed at the moment t;/>the gas release flow of the underground gas storage at the moment t; />The volume of the mixed gas at the time t; />The air flow of the coal seam is extracted at the moment t;
the mine comprehensive energy system optimization scheduling model of the electric conversion gas blending coal bed gas is as follows: the minimum running cost of the mine comprehensive energy system in a scheduling period is an objective function and a plurality of constraints; the minimum running cost in one scheduling period is an objective function:
minC＝C1+C2+C3+C4
in C, C 1 、C 2 、C 3 、C 4 The system is respectively the total running cost, electricity purchasing cost, equipment operation and maintenance cost, wind and light discarding punishment cost and the initial capacity natural gas purchasing cost in the underground gas storage; t is the total time period number of 1 complete scheduling period;purchasing electric power for the system at the time t; />The electricity price at the time t; mu (mu) PV 、μ WT 、μ GT 、μ WHB 、μ UGS 、μ P2G 、μ WSHP 、μ RTO 、μ AC 、μ HSD The unit maintenance cost of the photovoltaic device, the fan, the gas turbine, the waste heat boiler, the underground gas storage, the electric conversion gas, the water source heat pump, the heat storage oxidation device, the absorption refrigerator and the heat storage device is respectively; />The output power of the photovoltaic, the fan, the gas turbine, the waste heat boiler, the electric conversion gas, the heat storage oxidation device and the absorption refrigerator at the moment t respectively; />The gas release and injection flow in the underground gas storage at the moment t are respectively; />The surge quantity at the moment t; />The heat storage power is stored and stored by the heat storage device at the moment t respectively; k (k) PV 、k WT Penalty coefficients for light and wind rejection are respectively; />Respectively obtaining predicted values of output power of the photovoltaic and the fan at the moment t; />Initial capacity for underground reservoirs; p is p G Is the price of natural gas; the plurality of constraints includes: the operation constraint of the underground gas storage and the balance constraint of the coalbed methane blending high-concentration gas;
the operation constraint of the underground gas storage is as follows:
in the method, in the process of the application,the gas storage amounts in the underground gas storage at the time t and the time t-1 are respectively; />Respectively the gas injection flow and the release flow of the underground gas storage at the moment t; />The minimum and maximum injection flow of the underground gas storage are respectively; />The minimum and maximum release flow of the underground gas storage are respectively; />The variable is 0/1, which respectively represents the state of the underground gas storage in injecting and releasing gas at the moment t, 0 represents closing and 1 represents opening;
the equilibrium constraint of the coalbed methane blending high-concentration gas is as follows:
in the method, in the process of the application,the volume of the mixed gas at the time t; />The high-concentration gas produced by the electric conversion gas at the moment t participates in the mixed gas flow; />The gas release flow of the underground gas storage at the moment t; />The air flow of the coal seam is extracted at the moment t; />For injection combustion at time tGas flow in a gas turbine; />The gas concentration injected into the gas turbine at the time t; />The concentration of gas is produced for the electric conversion gas at the time t; />The gas concentration in the coal bed gas extracted at the time t;respectively, the minimum and the maximum gas concentrations required for ensuring the normal combustion power generation of the gas turbine.
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|---|---|---|---|---|
| CN111967776A (en) * | 2020-08-19 | 2020-11-20 | 国网河南省电力公司经济技术研究院 | Assessment method for operation value chain of park comprehensive energy system |
| CN112380681A (en) * | 2020-09-28 | 2021-02-19 | 国网浙江省电力有限公司经济技术研究院 | Distributed optimization-based comprehensive energy system parameter determination method and related device |
| CN114781756A (en) * | 2022-05-24 | 2022-07-22 | 国网山东综合能源服务有限公司 | Low-carbon optimized scheduling considering wind-light-carbon capture-electricity-to-gas comprehensive energy system |
| WO2023274425A1 (en) * | 2021-06-28 | 2023-01-05 | 国网甘肃省电力公司电力科学研究院 | Multi-energy capacity optimization configuration method for wind-solar-water-fire storage system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112380681A (en) * | 2020-09-28 | 2021-02-19 | 国网浙江省电力有限公司经济技术研究院 | Distributed optimization-based comprehensive energy system parameter determination method and related device |
| WO2023274425A1 (en) * | 2021-06-28 | 2023-01-05 | 国网甘肃省电力公司电力科学研究院 | Multi-energy capacity optimization configuration method for wind-solar-water-fire storage system |
| CN114781756A (en) * | 2022-05-24 | 2022-07-22 | 国网山东综合能源服务有限公司 | Low-carbon optimized scheduling considering wind-light-carbon capture-electricity-to-gas comprehensive energy system |
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