Low-carbon dispatching control method and device for power generation system, terminal equipment and storage medium

Abstract

The invention discloses a low-carbon scheduling control method and device for a power generation system, terminal equipment and a storage medium. The method comprises the steps of obtaining operation data of the power generation system; substituting the operation data into a power generation system low-carbon economic dispatching calculation formula, and generating a power generation system low-carbon economic dispatching model under preset power generation system constraints; solving the low-carbon economic dispatching model of the power generation system to obtain dispatching control data in a dispatching period; wherein the scheduling control data comprises the total operation cost of the system, the carbon emission, the wind power photovoltaic clean energy consumption condition and the operation condition of the multi-energy coupling equipment; and carrying out equipment scheduling on the power generation system based on the scheduling control data. According to the invention, low-carbon economic dispatching evaluation of the power generation system is realized, dispatching control of the power generation system can be carried out based on low-carbon economy, and carbon emission of the power generation system is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid line fault monitoring, and in particular to a low-carbon dispatching control method, device, terminal equipment and storage medium for a power generation system. Background Art

[0002] The hydrogen blending technology for large gas-fired units is an important innovation in the context of global emission reduction, which aims to integrate the clean characteristics of hydrogen energy with the high efficiency of gas-fired power generation. This technology responds to the trend of optimizing the energy structure. By blending hydrogen into gas-fired units, it not only improves the utilization efficiency of fuel, but also significantly reduces carbon emissions. Existing technologies cannot perform low-carbon scheduling for large gas-fired units, resulting in excessive carbon emissions in existing power generation systems containing large gas-fired units.

[0003] Therefore, a low-carbon scheduling control strategy is urgently needed to solve the problem of excessive carbon emissions in power generation systems containing large gas-fired units. Summary of the invention

[0004] The embodiments of the present invention provide a low-carbon dispatch control method, apparatus, terminal equipment and storage medium for a power generation system to solve the problem of excessive carbon emissions in a power generation system containing large gas units.

[0005] In order to solve the above problem, an embodiment of the present invention provides a low-carbon dispatch control method for a power generation system, comprising:

[0006] Obtaining operating data of power generation systems;

[0007] Substituting the operating data into a calculation formula for low-carbon economic dispatch of a power generation system, and generating a low-carbon economic dispatch model of a power generation system under preset power generation system constraints;

[0008] Solving the low-carbon economic dispatch model of the power generation system to obtain dispatch control data within the dispatch cycle; wherein the dispatch control data includes: total system operating cost, carbon emissions, wind power and photovoltaic clean energy consumption, and multi-energy coupling equipment operating conditions;

[0009] Based on the dispatch control data, equipment dispatch is performed on the power generation system.

[0010] As an improvement of the above solution, the operation of the power generation system includes:

[0011] Obtaining operating parameters of the power generation system;

[0012] Based on the preset electricity-carbon coupling mechanism, the operation parameters are analyzed to obtain a carbon capture-power-to-gas joint operation model and a hydrogen energy multi-utilization model;

[0013] The power generation system is controlled to operate based on the carbon capture and power-to-gas combined operation model and the hydrogen energy multiple utilization model.

[0014] As an improvement of the above scheme, the carbon capture and power-to-gas combined operation model meets the following conditions:

[0015]

[0016] In the formula, is the total energy consumption of carbon capture during period t; are the operating energy consumption and fixed energy consumption of the carbon capture equipment during period t; CCS The energy consumption required to treat a unit mass of CO2; are the upper and lower limits of total energy consumption for carbon capture during period t; is the amount of CO2 absorbed by the carbon capture equipment during period t; CS is the carbon storage loss coefficient; is the amount of CO2 consumed by the methane reactor in the power-to-gas conversion process during period t; Store upper and lower limits for the carbon storage tank; is the hydrogen power output of hydrogen production during period t; is the input power of hydrogen production during period t; η EL The efficiency of the hydrogen production equipment; They are the natural gas output power and hydrogen input power of the methane reactor in the power-to-gas conversion phase during period t; Z er They are respectively the calorific value of natural gas, CO2 density, and the heat energy that can be converted per unit of electrical energy.

[0017] As an improvement of the above scheme, the hydrogen energy multi-utilization model includes: a gas turbine, a hydrogen fuel cell and a hydrogen storage tank;

[0018] The gas turbine meets the following conditions:

[0019]

[0020] In the formula, are the electrical and thermal power output of the gas turbine during period t respectively; is the electrical and thermal efficiency of the gas turbine; are the natural gas and hydrogen power input to the gas turbine during period t respectively; are the upper and lower limits of gas turbine output electric power respectively; are the upper and lower limits of the gas turbine output thermal power respectively; They are the upper and lower limits of the gas turbine output electric power ramp, respectively; They are the upper and lower limits of the thermal power output ramp of the gas turbine respectively; is the hydrogen blending ratio of the gas turbine at time t; The upper and lower limits of hydrogen blending ratio for gas boilers;

[0021] The hydrogen fuel cell meets the following conditions:

[0022]

[0023] In the formula, They are the electrical and thermal power output of the hydrogen fuel cell during period t respectively; The hydrogen power input to the hydrogen fuel cell during period t; They are the power generation and heat generation efficiency of hydrogen fuel cells; Upper limit of hydrogen power input for hydrogen fuel cells; They are the upper and lower limits of the hydrogen fuel cell climbing in period t respectively;

[0024] The hydrogen storage tank meets the following conditions:

[0025]

[0026] 0≤B abs +B dis ≤1

[0027]

[0028] In the formula, are the capacities of hydrogen storage tanks during period t respectively; are the hydrogen storage and release powers of the hydrogen storage tank during period t; η abs,H2 , η dis,H2 They are the hydrogen storage and release efficiency of the hydrogen storage tank; The upper and lower limits of the hydrogen storage tank capacity are respectively; B abs , B dis are the hydrogen storage and dehydrogenation state parameters of the hydrogen storage tank, B abs =1, B dis =0, indicating that the hydrogen storage tank is in energy storage state; B abs =0, B dis =1, indicating that the hydrogen storage tank is in the energy release state; They are the maximum power of hydrogen storage and hydrogen release respectively; is the initial capacity of the hydrogen storage tank, T is the system scheduling cycle, and the capacity of the hydrogen storage tank remains unchanged after a scheduling cycle.

[0029] As an improvement of the above scheme, the operating data include: gas boiler output thermal power, gas boiler input natural gas power, battery charging and discharging power, battery capacity, battery charging and discharging maximum power, battery initial capacity, hydrogen power output from electric hydrogen production, electric hydrogen production input power, carbon emissions generated by gas turbines, carbon emissions generated by gas boilers, carbon emission intensity of gas turbines, carbon emission intensity of gas boilers, amount of CO2 traded in the carbon trading market, photovoltaic power consumed by the power generation system, wind power consumed by the power generation system, electrical load of the power generation system, thermal load of the power generation system, gas price of the power generation system, gas purchase power, unit operating cost of gas turbines, unit operating cost of gas boilers, unit operating cost of fans, unit operating cost of photovoltaics, unit operating cost of energy storage, unit operating cost of carbon capture, unit operating cost of electric hydrogen production, unit operating cost of methanation, unit operating cost of hydrogen fuel cells, unit operating cost of hydrogen storage, predicted output of fans and predicted output of photovoltaics.

[0030] As an improvement of the above solution, the power generation system constraints include: equipment operation constraints, system carbon emission constraints and system power balance constraints;

[0031] The equipment operation constraints meet the following conditions:

[0032]

[0033]

[0034] In the formula, is the thermal power output of the gas boiler during period t; is the natural gas power input to the gas boiler during period t; η GB For gas boiler efficiency; It is the upper and lower limits of the thermal power output of the gas boiler; They are the upper and lower limits of the gas boiler climbing power respectively; are the battery capacities during period t respectively; are the battery charging and discharging power in period t; η abs , η dis They are the battery charging and discharging efficiency during period t; They are the upper and lower limits of battery capacity respectively; They are the battery charge and discharge state parameters during period t respectively; are the maximum power of battery charging and discharging respectively; is the initial capacity of the battery, T is the system scheduling cycle, and the battery capacity remains unchanged after a scheduling cycle; is the hydrogen power output of hydrogen production during period t; is the input power of hydrogen production during period t; η EL The efficiency of the hydrogen production equipment; Input power upper and lower limits for the electric hydrogen production equipment; They are the upper and lower limits of the climbing power of the electric hydrogen production equipment;

[0035] The carbon emission constraints of the system meet the following conditions:

[0036]

[0037] In the formula, are the carbon emissions generated by the gas turbine and gas boiler during period t; κ GT , κ GB are the carbon emission intensity of gas turbine and gas boiler in period t respectively; GT , σ GB , respectively, are the free carbon emission quotas for gas turbines and gas boilers during period t; They are the gas turbine, gas boiler, and free carbon quota in period t respectively; is the actual carbon emissions of the power generation system; is the total amount of free carbon allowances for the power generation system; is the amount of CO2 used for carbon trading market transactions during period t; is the carbon trading cost of the system in period t; χ is the carbon trading base price; L is the length of the carbon emission interval; α is the price growth rate;

[0038] The system power balance constraint satisfies the following conditions:

[0039]

[0040] In the formula, is the photovoltaic and wind power consumed by the system during period t; They are the electric load and thermal load of the power generation system during period t respectively.

[0041] As an improvement of the above scheme, the low-carbon economic dispatch model of the power generation system includes:

[0042] C cost =C CO2 +C cs +C buy +C om +C push

[0043]

[0044]

[0045] In the formula, C cost is the total operating cost of the power generation system; C CO2 , C cs , C buy , C om, C push They are system carbon trading costs, carbon storage costs, gas purchase costs, unit operation and maintenance costs, and wind and solar power curtailment costs; System unit carbon storage cost; are the system gas prices during period t respectively; is the gas purchasing power of the system during period t; They are the unit operating costs of gas turbines, gas boilers, fans, photovoltaics, energy storage, carbon capture, electricity-to-hydrogen, methanation, hydrogen fuel cells, and hydrogen storage tanks; is the penalty coefficient for abandoning wind and solar power; The predicted output of wind turbine and photovoltaic power during period t.

[0046] Accordingly, an embodiment of the present invention further provides a low-carbon dispatch control device for a power generation system, comprising: a data acquisition module, a calculation module, a solution module and a dispatch module;

[0047] The data acquisition module is used to acquire the operating data of the power generation system;

[0048] The calculation module is used to substitute the operation data into the calculation formula of the low-carbon economic dispatch of the power generation system, and generate a low-carbon economic dispatch model of the power generation system under the preset power generation system constraints;

[0049] The solution module is used to solve the low-carbon economic dispatch model of the power generation system to obtain the dispatch control data within the dispatch period; wherein the dispatch control data includes: the total operating cost of the system, carbon emissions, wind power and photovoltaic clean energy consumption, and multi-energy coupling equipment operating conditions;

[0050] The scheduling module is used to schedule equipment of the power generation system based on the scheduling control data.

[0051] Correspondingly, an embodiment of the present invention further provides a computer terminal device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements a low-carbon dispatching control method for a power generation system as described in the present invention.

[0052] Correspondingly, an embodiment of the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a low-carbon scheduling control method for a power generation system as described in the present invention.

[0053] As can be seen from the above, the present invention has the following beneficial effects:

[0054] The present invention provides a low-carbon dispatch control method for a power generation system, which obtains the operating data of the power generation system; substitutes the operating data into the low-carbon economic dispatch calculation formula of the power generation system, and generates a low-carbon economic dispatch model of the power generation system under the preset power generation system constraints; solves the low-carbon economic dispatch model of the power generation system to obtain the dispatch control data within the dispatch period; wherein the dispatch control data includes: the total operating cost of the system, carbon emissions, wind power and photovoltaic clean energy consumption, and multi-energy coupling equipment operating conditions; based on the dispatch control data, the power generation system is dispatched. The present invention calculates the low-carbon economic dispatch calculation formula of the power generation system on the operating data of the power generation system, and can obtain the low-carbon economic dispatch model of the power generation system under the preset power generation system constraints. The model is analyzed to obtain the dispatch control data within the dispatch period, and the low-carbon economic dispatch evaluation of the power generation system is realized, so that the dispatch control of the power generation system can be carried out based on the low-carbon economy, and the carbon emissions of the power generation system are reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 is a flow chart of a low-carbon dispatch control method for a power generation system provided by an embodiment of the present invention;

[0056] Figure 2 is a structural schematic diagram of a low-carbon dispatching control device for a power generation system provided by an embodiment of the present invention;

[0057] Figure 3 This is a schematic diagram of the structure of a terminal device provided by an embodiment of the present invention;

[0058] Figure 4 It is a schematic diagram of a material-energy coupling topology diagram of a multi-link cooperatively coupled energy base provided by an embodiment of the present invention;

[0059] Figure 5 is a schematic diagram of typical daily load and clean energy output data of an energy base provided by an embodiment of the present invention;

[0060] Figure 6 It is a schematic diagram of a hydrogen power balance diagram of an energy base provided by an embodiment of the present invention;

[0061] Figure 7 It is a schematic diagram of the distribution of hydrogen blending ratio of a gas turbine provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] Embodiment 1

[0064] See also Figure 1 , Figure 1 is a flow chart of a low-carbon dispatch control method for a power generation system provided by an embodiment of the present invention, such as Figure 1 As shown, this embodiment includes steps 101 to 104, and each step is specifically as follows:

[0065] Step 101: Acquire operation data of a power generation system.

[0066] In this embodiment, the operation of the power generation system includes:

[0067] Obtaining operating parameters of the power generation system;

[0068] Based on the preset electricity-carbon coupling mechanism, the operation parameters are analyzed to obtain a carbon capture-power-to-gas joint operation model and a hydrogen energy multi-utilization model;

[0069] The power generation system is controlled to operate based on the carbon capture and power-to-gas combined operation model and the hydrogen energy multiple utilization model.

[0070] In a specific embodiment, according to the selected energy base system (i.e., the power generation system described in the present invention), an electric-carbon coupling model for large gas-fired units is accurately constructed, and the carbon emission cost / benefit evaluation of each type of unit is analyzed in detail. The research is carried out around the characteristics of the multi-load demand in the area where the energy base is located, and the system operation parameters are analyzed, mainly including: electric load, thermal load, wind and photovoltaic power generation forecast values, and the operation parameters of multi-energy coupling equipment; the electric-carbon coupling mechanism of the unit in the whole operation cycle is analyzed, and the operation mode of the energy base is explored from the perspective of "carbon", and the carbon emission reduction capacity of the multi-energy flow coupling of the energy base supported by clean energy is deeply explored, and the energy flow-carbon flow coupling topology of the energy base that integrates the multi-utilization of hydrogen energy under the carbon capture-power-to-gas coordinated operation mode is constructed;

[0071] Based on the multi-energy flow coupling topology and system operating parameters of the energy base, the system's multi-link coordinated carbon reduction mechanism is studied. Through the carbon capture and power-to-gas joint operation model and the hydrogen energy multiple utilization model, a CCS-based cyclic carbon reduction model is formed, which realizes the "dynamic utilization" of carbon and the full absorption of wind and solar energy, and effectively reduces the carbon emissions of the energy base system.

[0072] In this embodiment, the carbon capture and power-to-gas combined operation model meets the following conditions:

[0073]

[0074] In the formula, is the total energy consumption of carbon capture during period t; are the operating energy consumption and fixed energy consumption of the carbon capture equipment during period t; CCS The energy consumption required to treat a unit mass of CO2; are the upper and lower limits of total energy consumption for carbon capture during period t; is the amount of CO2 absorbed by the carbon capture equipment during period t; CS is the carbon storage loss coefficient; is the amount of CO2 consumed by the methane reactor in the power-to-gas conversion process during period t; Store upper and lower limits for the carbon tank; is the hydrogen power output of hydrogen production during period t; is the input power of hydrogen production during period t; η EL The efficiency of the hydrogen production equipment; They are the natural gas output power and hydrogen input power of the methane reactor in the power-to-gas conversion phase during period t; Z er They are respectively the calorific value of natural gas, CO2 density, and the heat energy that can be converted per unit of electrical energy.

[0075] In a specific embodiment, the carbon capture equipment captures CO2 produced by the hydrogen-blended gas turbine and the gas boiler, and supplies the CO2 as a raw material to the methanation equipment to generate natural gas, thereby realizing the "dynamic utilization" of carbon and the full absorption of wind and solar energy. At the same time, the carbon capture equipment can effectively alleviate the supply-demand conflict of CO2 in the methanation equipment and the transfer of carbon capture energy consumption through the carbon storage device (CS) in a flexible operation mode.

[0076] In this embodiment, the hydrogen energy multi-utilization model includes: a gas turbine, a hydrogen fuel cell and a hydrogen storage tank;

[0077] The gas turbine meets the following conditions:

[0078]

[0079] In the formula, are the electrical and thermal power output of the gas turbine during period t respectively; is the electrical and thermal efficiency of the gas turbine; are the natural gas and hydrogen power input to the gas turbine during period t respectively; are the upper and lower limits of gas turbine output electric power respectively; are the upper and lower limits of the thermal power output of the gas turbine respectively; They are the upper and lower limits of the gas turbine output electric power ramp, respectively; They are the upper and lower limits of the thermal power output ramp of the gas turbine respectively; is the hydrogen blending ratio of the gas turbine at time t; The upper and lower limits of hydrogen blending ratio for gas boilers;

[0080] The hydrogen fuel cell meets the following conditions:

[0081]

[0082] In the formula, They are the electrical and thermal power output of the hydrogen fuel cell during period t respectively; The hydrogen power input to the hydrogen fuel cell during period t; They are the power generation and heat generation efficiency of hydrogen fuel cells; Upper limit of hydrogen power input for hydrogen fuel cells; They are the upper and lower limits of the hydrogen fuel cell climbing in period t respectively;

[0083] The hydrogen storage tank meets the following conditions:

[0084]

[0085] 0≤B abs +B dis ≤1

[0086]

[0087] In the formula, are the capacities of hydrogen storage tanks during period t respectively; are the hydrogen storage and release powers of the hydrogen storage tank during period t; η abs,H2 , η dis,H2 They are the hydrogen storage and release efficiency of the hydrogen storage tank; The upper and lower limits of the hydrogen storage tank capacity are respectively; B abs , B dis are the hydrogen storage and dehydrogenation state parameters of the hydrogen storage tank, B abs =1, B dis =0, indicating that the hydrogen storage tank is in energy storage state; B abs =0, B dis =1, indicating that the hydrogen storage tank is in the energy release state; They are the maximum power of hydrogen storage and hydrogen release respectively; is the initial capacity of the hydrogen storage tank, T is the system scheduling cycle, and the capacity of the hydrogen storage tank remains unchanged after a scheduling cycle.

[0088] In a specific embodiment, under the multi-utilization mode of hydrogen energy, the multi-dimensional linkage flexible adjustment units can coordinate and cooperate, so as to deeply explore the carbon reduction potential of the energy base system under the support of the mutual assistance of electricity, heat, gas and hydrogen multi-energy flows. By combining multiple modes such as hydrogen production, hydrogen storage and hydrogen use, the economic and low-carbon benefits of the system are significantly improved: the gas turbine is operated in a hydrogen blending mode, and the fuel source is cleaner; hydrogen fuel cells directly generate electricity and heat by consuming hydrogen energy, meeting the energy balance of power supply and heat supply, and can effectively reduce energy ladder losses; hydrogen storage tanks, as flexible adjustment units for energy balance, can flexibly adjust the hydrogen storage and release power in combination with the energy demand of the system.

[0089] In this embodiment, the operating data include: gas boiler output thermal power, gas boiler input natural gas power, battery charge and discharge power, battery capacity, battery charge and discharge maximum power, battery initial capacity, hydrogen power output from electric hydrogen production, electric hydrogen production input power, carbon emissions generated by gas turbines, carbon emissions generated by gas boilers, carbon emission intensity of gas turbines, carbon emission intensity of gas boilers, amount of CO2 traded in the carbon trading market, photovoltaic power consumed by the power generation system, wind power consumed by the power generation system, electrical load of the power generation system, thermal load of the power generation system, gas price of the power generation system, gas purchase power, unit operating cost of gas turbines, unit operating cost of gas boilers, unit operating cost of fans, unit operating cost of photovoltaics, unit operating cost of energy storage, unit operating cost of carbon capture, unit operating cost of electric hydrogen production, unit operating cost of methanation, unit operating cost of hydrogen fuel cells, unit operating cost of hydrogen storage tanks, predicted output of fans and predicted output of photovoltaics.

[0090] Step 102: Substitute the operating data into the calculation formula for low-carbon economic dispatch of the power generation system, and generate a low-carbon economic dispatch model of the power generation system under the preset power generation system constraints.

[0091] In this embodiment, the power generation system constraints include: equipment operation constraints, system carbon emission constraints and system power balance constraints;

[0092] The equipment operation constraints meet the following conditions:

[0093]

[0094] In the formula, is the thermal power output of the gas boiler during period t; is the natural gas power input to the gas boiler during period t; η GB For gas boiler efficiency; It is the upper and lower limits of the thermal power output of the gas boiler; They are the upper and lower limits of the gas boiler climbing power respectively; are the battery capacities during period t respectively; are the battery charging and discharging power in period t; η abs , η dis They are the battery charging and discharging efficiency during period t; They are the upper and lower limits of battery capacity respectively; They are the battery charge and discharge state parameters during period t respectively; are the maximum power of battery charging and discharging respectively; is the initial capacity of the battery, T is the system scheduling cycle, and the battery capacity remains unchanged after a scheduling cycle; is the hydrogen power output of hydrogen production during period t; is the input power of hydrogen production during period t; η EL The efficiency of the hydrogen production equipment; Input power upper and lower limits for the electric hydrogen production equipment; They are the upper and lower limits of the climbing power of the electric hydrogen production equipment;

[0095] The carbon emission constraints of the system meet the following conditions:

[0096]

[0097] In the formula, are the carbon emissions generated by the gas turbine and gas boiler during period t; κ GT , κ GB are the carbon emission intensity of gas turbine and gas boiler in period t respectively; GT , σ GB , respectively, are the free carbon emission quotas for gas turbines and gas boilers during period t; They are the gas turbine, gas boiler, and free carbon quota in period t respectively; is the actual carbon emissions of the power generation system; is the total amount of free carbon allowances for the power generation system; is the amount of CO2 used for carbon trading market transactions during period t; is the carbon trading cost of the system in period t; χ is the carbon trading base price; L is the length of the carbon emission interval; α is the price growth rate;

[0098] The system power balance constraint satisfies the following conditions:

[0099]

[0100] In the formula, is the photovoltaic and wind power consumed by the system during period t; They are the electric load and thermal load of the power generation system during period t respectively.

[0101] In this embodiment, the low-carbon economic dispatch model of the power generation system includes:

[0102] Ccost =C CO2 +C cs +C buy +C om +C push

[0103]

[0104] In the formula, C cost is the total operating cost of the power generation system; C CO2 , C cs , C buy , C om , C push They are system carbon trading costs, carbon storage costs, gas purchase costs, unit operation and maintenance costs, and wind and solar power curtailment costs; System unit carbon storage cost; are the system gas prices during period t respectively; is the gas purchasing power of the system during period t; They are the unit operating costs of gas turbines, gas boilers, fans, photovoltaics, energy storage, carbon capture, electricity-to-hydrogen, methanation, hydrogen fuel cells, and hydrogen storage tanks; is the penalty coefficient for abandoning wind and solar power; The predicted output of wind turbine and photovoltaic power during period t.

[0105] In a specific embodiment, the constructed carbon capture and power-to-gas joint operation model and hydrogen energy multiple utilization model comprehensively consider the hydrogen blending constraints of large gas-fired units, the operation constraints of carbon capture-two-stage power-to-gas equipment, the operation constraints of hydrogen fuel cells and hydrogen storage tanks, the carbon emission constraints of system units and the system power balance constraints, and take the minimization of the sum of the energy base carbon trading cost, carbon storage cost, gas purchase cost, unit operation and maintenance cost and wind and solar power abandonment cost as the goal, to construct a low-carbon economic dispatch model of the comprehensive energy base system with coupled electricity, heat, gas and hydrogen multi-energy flows, and realize the diversified energy supply of the energy base system through the mutual coordination of multi-energy coupling equipment and multi-link optimized operation.

[0106] Step 103: Solve the low-carbon economic dispatch model of the power generation system to obtain dispatch control data within the dispatch cycle; wherein the dispatch control data includes: total system operating cost, carbon emissions, wind power and photovoltaic clean energy consumption, and multi-energy coupling equipment operating conditions.

[0107] In this embodiment, the Gurobi solver is used to solve the low-carbon economic dispatch model of the power generation system.

[0108] Step 104: Based on the dispatch control data, perform equipment dispatch on the power generation system.

[0109] In a specific implementation, the multi-link coupled energy base system architecture is as follows: Figure 4 The basic system parameters include the predicted values ​​of electric load, thermal load, wind turbine and photovoltaic output, the composition and operation parameters of multi-energy coupling equipment, etc. The relevant system parameters are shown in Table 1; the predicted values ​​of load and renewable energy are shown in Figure 5 .

[0110] Table 1 System parameters

[0111]

[0112] For this embodiment, in order to verify the superiority of the multi-link coupled energy base economic low-carbon optimization scheduling model proposed in the present invention, 5 scenarios are set for comparative analysis, as shown in Table 2; among them, in scenario 4, under the hydrogen energy multiple utilization mode, the hydrogen blending ratio of the gas turbine is set to 0.2, and the operating results of the 5 scenarios are shown in Table 3. Figure 6 It is the hydrogen power balance diagram of the energy base system; Figure 7 This is a diagram of the system operation under different hydrogen blending ratios;

[0113] Table 2 Different operation scenarios of energy base system

[0114]

[0115]

[0116] Table 3. Comparison of optimization results for 5 scenarios

[0117]

[0118] The software used to perform the case simulation is MATLAB_R2023a configured with the YALMIP toolbox, and the GUROBI solver is called for solving; the simulation platform processor used is AMD R7-6800H, the memory is 16GB, and the operating system is 64-bit Windows 11; the scheduling cycle is 24h and the time interval is 1h.

[0119] Compared with scenario 1, scenario 2 introduces a carbon capture-two-stage power-to-gas joint operation model. Combined with Table 3, it can be seen that at this time, the carbon capture-two-stage power-to-gas coupling unit fully exerts its energy-saving and efficiency-enhancing effect, reducing the total cost of the energy base system by 7.71% and carbon emissions by 4319.52t. At the same time, due to the high energy consumption characteristics of carbon capture equipment and power-to-gas equipment, the wind abandonment rate in scenario 2 decreased by 26.6%. It can be seen that the multi-energy coupled energy base system can effectively promote the consumption of renewable resources in the base while improving the energy supply level of the energy base and enhancing the economy and low carbon of the system through the coordination of carbon capture-power-to-gas links.

[0120] In order to further explore the advantages of clean energy utilization, scenario 3 introduces a hydrogen energy multi-utilization architecture to explore the impact of the hydrogen energy multi-utilization model on the operation of the energy base system. Figure 6 As shown in Table 3, under the multi-utilization mode of hydrogen energy, the system flexibly adjusts the unit in combination with the load demand and gives full play to the synergistic effect according to information such as peak and valley electricity prices, so that the total operating cost of the hydrogen production-storage-use multi-dimensional combined energy base system is reduced by 351,449 yuan, and the carbon emissions are reduced by 62.51 tons. This is because the utilization of hydrogen by gas turbines and hydrogen fuel cells reduces hydrogen methanation, thereby reducing the absorption of carbon dioxide. From the overall point of view, the system is more economical.

[0121] Scenario 4: The gas turbine is operated in variable hydrogen blending ratio mode. Figure 7 It can be seen that under variable hydrogen blending ratio, the energy base with coupled electricity, heat, gas and hydrogen multi-energy flows can give full play to the synergistic effect of carbon capture-two-stage power-to-gas joint operation and hydrogen energy multi-utilization according to the characteristics of multi-form energy resources and diversified load demands. By flexibly adjusting the hydrogen blending ratio of gas turbines, the system energy supply level can be improved and the output of multi-energy coupling equipment can be optimized, thereby effectively improving the economic and low-carbon benefits of the system.

[0122] In order to further explore the potential of low-carbon emission reduction in the system, scenario 5 introduces a step-by-step carbon trading framework. It can be seen from Table 3 that the amount of CO2 discharged into the atmosphere can be further reduced after considering the step-by-step carbon trading mechanism. Combined with Table 3, it can be seen that in terms of economic indicators and low-carbon indicators, the energy base economic low-carbon scheduling method proposed in the present invention considering the multi-use of hydrogen blending of large-scale power generation units achieves the best results, which fully verifies the superiority of the economic low-carbon scheduling model constructed by the present invention.

[0123] See also Figure 2 , Figure 2 2 is a schematic diagram of a low-carbon dispatch control device for a power generation system provided by an embodiment of the present invention, comprising: a data acquisition module 201, a calculation module 202, a solution module 203 and a dispatch module 204;

[0124] The data acquisition module is used to acquire the operating data of the power generation system;

[0125] The calculation module is used to substitute the operation data into the calculation formula of the low-carbon economic dispatch of the power generation system, and generate a low-carbon economic dispatch model of the power generation system under the preset power generation system constraints;

[0126] The solution module is used to solve the low-carbon economic dispatch model of the power generation system to obtain the dispatch control data within the dispatch period; wherein the dispatch control data includes: the total operating cost of the system, carbon emissions, wind power and photovoltaic clean energy consumption, and multi-energy coupling equipment operating conditions;

[0127] The scheduling module is used to schedule equipment of the power generation system based on the scheduling control data.

[0128] It can be understood that the above-mentioned system item embodiments correspond to the method item embodiments of the present invention, which can implement the low-carbon scheduling control method for power generation system provided by any one of the above-mentioned method item embodiments of the present invention.

[0129] This embodiment obtains the operating data of the power generation system; substitutes the operating data into the low-carbon economic dispatch calculation formula of the power generation system, and generates a low-carbon economic dispatch model of the power generation system under the preset power generation system constraints; solves the low-carbon economic dispatch model of the power generation system to obtain the dispatch control data within the dispatch period; wherein the dispatch control data includes: the total operating cost of the system, carbon emissions, wind power and photovoltaic clean energy consumption, and multi-energy coupling equipment operating conditions; based on the dispatch control data, the power generation system is dispatched. The present invention calculates the low-carbon economic dispatch calculation formula of the power generation system on the operating data of the power generation system, and can obtain the low-carbon economic dispatch model of the power generation system under the preset power generation system constraints. After the model is analyzed, the dispatch control data within the dispatch period can be obtained, and the low-carbon economic dispatch evaluation of the power generation system can be realized, so that the dispatch control of the power generation system can be carried out based on the low-carbon economy, reducing the carbon emissions of the power generation system.

[0130] Embodiment 2

[0131] See also Figure 3 , Figure 3 It is a schematic diagram of the structure of a terminal device provided in one embodiment of the present invention.

[0132] A terminal device of this embodiment includes: a processor 301, a memory 302, and a computer program stored in the memory 302 and executable on the processor 301. When the processor 301 executes the computer program, the steps of the above-mentioned low-carbon dispatch control method for a power generation system in the embodiment are implemented, for example: Figure 1 Alternatively, when the processor executes the computer program, the functions of each module in the above-mentioned system embodiments are realized, for example: Figure 2 All modules of a low carbon dispatch control system for a power generation system are shown.

[0133] In addition, an embodiment of the present invention also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the low-carbon scheduling control method for a power generation system as described in any of the above embodiments.

[0134] Those skilled in the art will understand that the schematic diagram is merely an example of a terminal device and does not constitute a limitation on the terminal device. The terminal device may include more or fewer components than shown in the diagram, or a combination of certain components, or different components. For example, the terminal device may also include input and output devices, network access devices, buses, etc.

[0135] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor 301 is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0136] The memory 302 can be used to store the computer program and / or module. The processor 301 implements various functions of the terminal device by running or executing the computer program and / or module stored in the memory and calling the data stored in the memory 302. The memory 302 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0137] Wherein, if the module / unit integrated in the terminal device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or system capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0138] It should be noted that the system embodiment described above is merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the system embodiment provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0139] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A low-carbon dispatch control method for a power generation system, characterized in that: include: Obtaining operating data of power generation systems; Substituting the operating data into a calculation formula for low-carbon economic dispatch of a power generation system, and generating a low-carbon economic dispatch model of a power generation system under preset power generation system constraints; Solving the low-carbon economic dispatch model of the power generation system to obtain dispatch control data within the dispatch cycle; wherein the dispatch control data includes: total system operating cost, carbon emissions, wind power and photovoltaic clean energy consumption, and multi-energy coupling equipment operating conditions; Based on the dispatch control data, equipment dispatch is performed on the power generation system.

2. The low-carbon dispatch control method for power generation system according to claim 1, characterized in that: The operation of the power generation system includes: Obtaining operating parameters of the power generation system; Based on the preset electricity-carbon coupling mechanism, the operation parameters are analyzed to obtain a carbon capture-power-to-gas joint operation model and a hydrogen energy multi-utilization model; The power generation system is controlled to operate based on the carbon capture and power-to-gas combined operation model and the hydrogen energy multiple utilization model.

3. The low-carbon dispatch control method for power generation system according to claim 2, characterized in that: The carbon capture and power-to-gas combined operation model meets the following conditions: In the formula, is the total energy consumption of carbon capture during period t; are the operating energy consumption and fixed energy consumption of the carbon capture equipment during period t; CCS The energy consumption required to treat a unit mass of CO2; are the upper and lower limits of total energy consumption for carbon capture during period t; is the amount of CO2 absorbed by the carbon capture equipment during period t; CS is the carbon storage loss coefficient; is the amount of CO2 consumed by the methane reactor in the power-to-gas conversion process during period t; Store upper and lower limits for the carbon tank; is the hydrogen power output of hydrogen production during period t; is the input power of hydrogen production during period t; η EL The efficiency of the hydrogen production equipment; They are the natural gas output power and hydrogen input power of the methane reactor in the power-to-gas conversion phase during period t; Z er They are respectively the calorific value of natural gas, CO2 density, and the heat energy that can be converted per unit of electrical energy.

4. The low-carbon dispatch control method for power generation system according to claim 2, characterized in that: The hydrogen energy multi-utilization model includes: a gas turbine, a hydrogen fuel cell and a hydrogen storage tank; The gas turbine meets the following conditions: In the formula, are the electrical and thermal power output of the gas turbine during period t respectively; is the electrical and thermal efficiency of the gas turbine; are the natural gas and hydrogen power input to the gas turbine during period t respectively; are the upper and lower limits of gas turbine output electric power respectively; are the upper and lower limits of the gas turbine output thermal power respectively; They are the upper and lower limits of the gas turbine output electric power ramp, respectively; They are the upper and lower limits of the thermal power output ramp of the gas turbine respectively; is the hydrogen blending ratio of the gas turbine at time t; The upper and lower limits of hydrogen blending ratio for gas boilers; The hydrogen fuel cell meets the following conditions: In the formula, They are the electrical and thermal power output of the hydrogen fuel cell during period t respectively; The hydrogen power input to the hydrogen fuel cell during period t; They are the power generation and heat generation efficiency of hydrogen fuel cells; Upper limit of hydrogen power input for hydrogen fuel cells; They are the upper and lower limits of the hydrogen fuel cell climbing in period t respectively; The hydrogen storage tank meets the following conditions: 0≤B abs +B dis ≤1 In the formula, are the capacities of hydrogen storage tanks during period t respectively; are the hydrogen storage and release powers of the hydrogen storage tank during period t; η abs,H2 , η dis,H2 They are the hydrogen storage and release efficiency of the hydrogen storage tank; The upper and lower limits of the hydrogen storage tank capacity are respectively; B abs , B dis are the hydrogen storage and dehydrogenation state parameters of the hydrogen storage tank, B abs =1, B dis =0, indicating that the hydrogen storage tank is in energy storage state; B abs =0, B dis =1, indicating that the hydrogen storage tank is in the energy release state; They are the maximum power of hydrogen storage and hydrogen release respectively; is the initial capacity of the hydrogen storage tank, T is the system scheduling cycle, and the capacity of the hydrogen storage tank remains unchanged after a scheduling cycle.

5. The low-carbon dispatch control method for power generation system according to claim 2, characterized in that: The operating data include: gas boiler output thermal power, gas boiler input natural gas power, battery charge and discharge power, battery capacity, battery charge and discharge maximum power, battery initial capacity, hydrogen power output from electric hydrogen production, electric hydrogen production input power, carbon emissions generated by gas turbines, carbon emissions generated by gas boilers, carbon emission intensity of gas turbines, carbon emission intensity of gas boilers, amount of CO2 traded in the carbon trading market, photovoltaic power consumed by the power generation system, wind power consumed by the power generation system, electrical load of the power generation system, thermal load of the power generation system, gas price of the power generation system, gas purchase power, unit operating cost of gas turbines, unit operating cost of gas boilers, unit operating cost of fans, unit operating cost of photovoltaics, unit operating cost of energy storage, unit operating cost of carbon capture, unit operating cost of electric hydrogen production, unit operating cost of methanation, unit operating cost of hydrogen fuel cells, unit operating cost of hydrogen storage tanks, predicted output of fans and predicted output of photovoltaics.

6. The low-carbon dispatch control method for power generation system according to claim 5, characterized in that: The power generation system constraints include: equipment operation constraints, system carbon emission constraints and system power balance constraints; The equipment operation constraints meet the following conditions: In the formula, is the thermal power output of the gas boiler during period t; is the natural gas power input to the gas boiler during period t; η GB For gas boiler efficiency; It is the upper and lower limits of the thermal power output of the gas boiler; They are the upper and lower limits of the gas boiler climbing power respectively; are the battery capacities during period t respectively; are the battery charging and discharging power in period t; η abs , η dis They are the battery charging and discharging efficiency during period t; They are the upper and lower limits of battery capacity respectively; They are the battery charge and discharge state parameters during period t respectively; are the maximum power of battery charging and discharging respectively; is the initial capacity of the battery, T is the system scheduling cycle, and the battery capacity remains unchanged after a scheduling cycle; is the hydrogen power output of hydrogen production during period t; is the input power of hydrogen production during period t; η EL The efficiency of the hydrogen production equipment; Input power upper and lower limits for the electric hydrogen production equipment; They are the upper and lower limits of the climbing power of the electric hydrogen production equipment; The carbon emission constraints of the system meet the following conditions: In the formula, are the carbon emissions generated by the gas turbine and gas boiler during period t; κ GT , κ GB are the carbon emission intensity of gas turbine and gas boiler in period t respectively; GT , σ GB , respectively, are the free carbon emission quotas for gas turbines and gas boilers during period t; They are the gas turbine, gas boiler, and free carbon quota in period t respectively; is the actual carbon emissions of the power generation system; is the total amount of free carbon allowances for the power generation system; is the amount of CO2 used for carbon trading market transactions during period t; is the carbon trading cost of the system in period t; χ is the carbon trading base price; L is the length of the carbon emission interval; α is the price growth rate; The system power balance constraint satisfies the following conditions: In the formula, is the photovoltaic and wind power consumed by the system during period t; They are the electric load and thermal load of the power generation system during period t respectively.

7. The low-carbon dispatch control method for power generation system according to claim 6, characterized in that: The low-carbon economic dispatch model of the power generation system includes: C cost =C CO2 +C cs +C buy +C om +C push In the formula, C cost is the total operating cost of the power generation system; C CO2 , C cs , C buy , C om , C push They are system carbon trading costs, carbon storage costs, gas purchase costs, unit operation and maintenance costs, and wind and solar power curtailment costs; System unit carbon storage cost; are the system gas prices during period t respectively; is the gas purchasing power of the system during period t; They are the unit operating costs of gas turbines, gas boilers, fans, photovoltaics, energy storage, carbon capture, electricity-to-hydrogen, methanation, hydrogen fuel cells, and hydrogen storage tanks; is the penalty coefficient for abandoning wind and solar power; The predicted output of wind turbine and photovoltaic power during period t.

8. A low-carbon dispatch control device for a power generation system, characterized in that: include: Data acquisition module, calculation module, solution module and scheduling module; The data acquisition module is used to acquire the operating data of the power generation system; The calculation module is used to substitute the operation data into the calculation formula of the low-carbon economic dispatch of the power generation system, and generate a low-carbon economic dispatch model of the power generation system under the preset power generation system constraints; The solution module is used to solve the low-carbon economic dispatch model of the power generation system to obtain the dispatch control data within the dispatch period; wherein the dispatch control data includes: the total operating cost of the system, carbon emissions, wind power and photovoltaic clean energy consumption, and multi-energy coupling equipment operating conditions; The scheduling module is used to schedule equipment of the power generation system based on the scheduling control data.

9. A computer terminal device, characterized in that: It comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, a low-carbon dispatch control method for a power generation system as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute a low-carbon dispatch control method for a power generation system as described in any one of claims 1 to 7.

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