WO2023274239A1 - 耦合熔盐储热的工业供汽电站运行优化方法及系统 - Google Patents

耦合熔盐储热的工业供汽电站运行优化方法及系统 Download PDF

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WO2023274239A1
WO2023274239A1 PCT/CN2022/101968 CN2022101968W WO2023274239A1 WO 2023274239 A1 WO2023274239 A1 WO 2023274239A1 CN 2022101968 W CN2022101968 W CN 2022101968W WO 2023274239 A1 WO2023274239 A1 WO 2023274239A1
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steam supply
molten salt
heat storage
power station
coal consumption
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French (fr)
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马汀山
吕凯
程东涛
居文平
王妍
杨荣祖
石慧
许朋江
张建元
常东锋
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Xi'an Tpri Energy Conservation Technology Co ltd
Xian Thermal Power Research Institute Co Ltd
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Xi'an Tpri Energy Conservation Technology Co ltd
Xian Thermal Power Research Institute Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F22—STEAM GENERATION
    • F22B—METHODS OF STEAM GENERATION; STEAM BOILERS
    • F22B1/00—Methods of steam generation characterised by form of heating method
    • F22B1/02—Methods of steam generation characterised by form of heating method by exploitation of the heat content of hot heat carriers
    • F22B1/06—Methods of steam generation characterised by form of heating method by exploitation of the heat content of hot heat carriers the heat carrier being molten; Use of molten metal, e.g. zinc, as heat transfer medium
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F28—HEAT EXCHANGE IN GENERAL
    • F28D—HEAT-EXCHANGE APPARATUS, NOT PROVIDED FOR IN ANOTHER SUBCLASS, IN WHICH THE HEAT-EXCHANGE MEDIA DO NOT COME INTO DIRECT CONTACT
    • F28D20/00—Heat storage plants or apparatus in general; Regenerative heat-exchange apparatus not covered by groups F28D17/00 or F28D19/00
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F28—HEAT EXCHANGE IN GENERAL
    • F28D—HEAT-EXCHANGE APPARATUS, NOT PROVIDED FOR IN ANOTHER SUBCLASS, IN WHICH THE HEAT-EXCHANGE MEDIA DO NOT COME INTO DIRECT CONTACT
    • F28D20/00—Heat storage plants or apparatus in general; Regenerative heat-exchange apparatus not covered by groups F28D17/00 or F28D19/00
    • F28D2020/0004—Particular heat storage apparatus
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/04—Constraint-based CAD
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/06—Power analysis or power optimisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08—Thermal analysis or thermal optimisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/14—Thermal energy storage
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/20—Climate change mitigation technologies for sector-wide applications using renewable energy

Definitions

  • the disclosure belongs to the technical field of industrial steam supply systems, and relates to an operation optimization method and system for an industrial steam supply power station coupled with molten salt heat storage.
  • prefecture-level cities are used as units to build industrial parks, gather relevant industrial units in urban areas, and use coal-fired power stations as comprehensive energy centers for electricity, steam, etc., to complement each other with industrial chains, avoid repeated investment, and greatly reduce energy transmission losses, etc.
  • Advantages have been developed rapidly. Different from residential heating in the form of hot water, industrial steam supply is affected by the production process, production characteristics, pipeline length, etc.
  • the factory boundary parameters (pressure, temperature, flow) of industrial steam supply power stations vary greatly, and are basically not affected by geographical conditions. Impact.
  • thermoelectric decoupling technologies of cogeneration units such as low-pressure cylinder zero output, high and low pressure bypass, hot water heat storage, electrode heat storage boilers, etc., are all applicable to residents Heating units and industrial steam supply power plants have few mature solutions for heat preservation and power regulation.
  • Molten salt is an excellent heat transfer and heat storage medium, especially suitable for high temperature conditions, and has been widely used in the fields of solar thermal power generation and high temperature industrial heating.
  • the application of molten salt heat storage to wide-load industrial steam supply for coal-fired power units has been studied.
  • the calculation results show that the energy consumption loss of the unit is about 0.30(g/(kW h))/MW during the heat storage process, and the energy loss of the unit is about 0.02(g/(kW h) during the heat release process ))/MW.
  • the energy consumption loss of the unit is about 0.30(g/(kW h))/MW
  • the energy loss of the unit is about 0.02(g/(kW h))/MW .
  • the calculation results show that, compared with the original heating unit, the heat consumption rate of the coupled system increases by 49.52kJ/(kW h), 77.26kJ/(kW h), 75.22kJ/(kW ⁇ h) and 56.04kJ/(kW ⁇ h), the load response capability of the heating unit has been significantly improved.
  • Literature 4 “Dong Xue. Flexibility analysis of heating units with heat storage devices [D], North China Electric Power University, 2018", using Aspen simulation software to build a steady-state process model and heat storage device model of a 300MW heating unit, through comparison The heat consumption rate of units with different coupling methods, and in-depth analysis of the thermal economy of the extraction condensing heating unit after the heat storage device is configured. The results show that the economical impact of the unit is the least if the hybrid extraction is used for heat storage and the coupling of displacement and extraction is used for heat release.
  • a dynamic simulation system model of the extraction condensing heating unit and the heat storage device is constructed to analyze the effect of the heat storage device on the heating unit's variable load on the basis of coordinated control.
  • the purpose of the present disclosure is to solve the problems in the prior art, and provide an operation optimization method and device for an industrial steam supply power station coupled with molten salt heat storage, an industrial steam supply system for molten salt heat storage, terminal equipment, and a computer-readable storage medium.
  • the present disclosure provides an operation optimization method for an industrial steam supply power station coupled with molten salt heat storage, including the following steps:
  • Step 1 Calculate the standard coal consumption characteristics of the unit steam supplied by the industrial steam supply power station and the molten salt heat storage system
  • Step 2 calculate the standard coal consumption under the three steam supply modes
  • Step 3 Carry out optimization judgment according to standard coal consumption characteristics and standard coal consumption.
  • the three steam supply modes include separate supply by industrial steam supply power station, separate supply by molten salt heat storage system, and joint supply by industrial steam supply power station and molten salt heat storage system.
  • the steam supply standard coal consumption characteristics of the industrial steam supply power station are as follows:
  • the industrial steam supply power station adopts the steam supply mode of the unit itself, and the correlation characteristic F 1 of the electric output N ge - the steam supply load Q - the energy efficiency characteristic B of the unit is as follows:
  • the standard coal consumption characteristics of the molten salt heat storage and steam supply are as follows:
  • m is the mass flow rate of re-steam for heat storage
  • ⁇ Q is the steam supply load of the heat storage system
  • h g is the enthalpy value of industrial steam supply
  • h gs is the enthalpy value of water supply at the outlet of the pre-pump
  • h rh and h ss are the inlet water enthalpy, respectively
  • ⁇ em is the heat dissipation coefficient
  • b sa is the standard coal consumption characteristic
  • Q 0 is the high electric load range Section external steam supply load
  • N ge,0 is the high electric load of industrial steam supply power station
  • F 1 represents the correlation characteristic of electric output N ge - steam supply load Q - unit energy efficiency characteristic B.
  • the three steam supply modes include separate supply by industrial steam supply power station, separate supply by molten salt heat storage system, common supply by industrial steam supply power station and molten salt heat storage system;
  • the industrial steam supply power station is supplied separately, and the standard coal consumption B po is as follows:
  • the molten salt heat storage system is supplied separately, and the standard coal consumption B sa is as follows:
  • the industrial steam supply power station and the molten salt heat storage system are jointly supplied, and the standard coal consumption B is as follows:
  • Q is the total external steam supply load of the industrial steam supply power station coupled with molten salt heat storage
  • N ge is the power output of the industrial steam supply power station
  • Q po is the industrial supply power under the joint supply mode of the industrial steam supply power station and the molten salt heat storage system.
  • the steam supply load of the steam power station is the total external steam supply load of the industrial steam supply power station coupled with molten salt heat storage
  • N ge is the power output of the industrial steam supply power station
  • Q po is the industrial supply power under the joint supply mode of the industrial steam supply power station and the molten salt heat storage system.
  • the specific method of the optimization decision is as follows:
  • Step 3-1 input boundary parameters electric output N ge and steam supply load Q;
  • Step 3-3 judge: Q max + ⁇ Q>Q? If yes, go to step 3-4; if no, it is determined that the optimization conditions are not met;
  • Step 3-4 judge: ⁇ Q>Q? Yes, go to step 3-9; No, go to step 3-5;
  • Step 3-5 formulate optimization benchmark; described optimization benchmark is as follows:
  • Steps 3-6 based on benchmark 1, perform iterative optimization, the process is as follows:
  • Step 3-6-2 judge: Q sa1 ⁇ ⁇ Q? Yes, the iterative optimization process is terminated; No, B 1 is calculated according to formula (4) ⁇ formula (6);
  • Step 3-6-3 judge: B 1 ⁇ B 0 0 ? Yes, B 0 0 is still used as the base working condition; No, B 1 is used as the new base working condition;
  • Step 3-6-5 the iterative optimization process ends, and the optimal result B 0 0 of step 3-6 is output;
  • Steps 3-7 based on benchmark 2, perform iterative optimization, the process is as follows:
  • Step 3-7-2 judge: Q po1 ⁇ Q max ? Yes, the iterative optimization process is terminated; No, B 1 is calculated according to formula (4) ⁇ formula (6);
  • Step 3-7-3 determine: B 1 ⁇ B 1 0 ? Yes, B 1 0 is still used as the base working condition; No, B 1 is used as the new base working condition;
  • Step 3-7-5 the iterative optimization process ends, and the optimal result B 1 0 of step 3-7 is output;
  • Steps 3-10 perform iterative optimization, the process is as follows:
  • Step 3-10-3 determine: B 1 ⁇ B 2 0 ? Yes, B 2 0 is still used as the base working condition; No, B 1 is used as the new base working condition;
  • step 3-10-5 the iterative optimization process ends, and the optimal result B 2 0 of the optimization in step 3-10 is output.
  • the present disclosure provides an operation optimization device for an industrial steam supply power station coupled with molten salt heat storage, including:
  • a standard coal consumption characteristic calculation module is used to calculate the standard coal consumption characteristics of industrial steam supply power station and molten salt heat storage system unit steam supply;
  • a standard coal consumption calculation module the standard coal consumption calculation module is used to calculate the standard coal consumption under the three steam supply modes;
  • An optimization determination module the optimization determination module performs optimization determination according to standard coal consumption characteristics and standard coal consumption.
  • the standard coal consumption characteristic calculation module is specifically used for:
  • the industrial steam supply power station adopts the steam supply mode of the unit itself, and the correlation characteristic F 1 of the electric output N ge - the steam supply load Q - the energy efficiency characteristic B of the unit is as follows:
  • m is the mass flow rate of heat resteam for heat storage
  • ⁇ Q is the steam supply load of the heat storage system
  • h g is the enthalpy value of industrial steam supply
  • h gs is the enthalpy value of water supply at the outlet of the pre-pump
  • h rh and h ss are the inlet water enthalpy, respectively
  • ⁇ em is the heat dissipation coefficient
  • b sa is the standard coal consumption characteristic
  • Q 0 is the high electric load range Section external steam supply load
  • N ge,0 is the high electric load of industrial steam supply power station.
  • the standard coal consumption calculation module is specifically used to provide the three power supplies including the separate supply of industrial steam supply power station, the separate supply of molten salt heat storage system, and the common supply of industrial steam supply power station and molten salt heat storage system.
  • the industrial steam supply power station is supplied separately, and the standard coal consumption B po is as follows:
  • the molten salt heat storage system is supplied separately, and the standard coal consumption B sa is as follows:
  • the industrial steam supply power station and the molten salt heat storage system are jointly supplied, and the standard coal consumption B is as follows:
  • Q is the total external steam supply load of the industrial steam supply power station coupled with molten salt heat storage
  • N ge is the power output of the industrial steam supply power station
  • Q po is the industrial supply power under the joint supply mode of the industrial steam supply power station and the molten salt heat storage system.
  • the steam supply load of the steam power station is the total external steam supply load of the industrial steam supply power station coupled with molten salt heat storage
  • N ge is the power output of the industrial steam supply power station
  • Q po is the industrial supply power under the joint supply mode of the industrial steam supply power station and the molten salt heat storage system.
  • the optimization determination module is specifically used for:
  • Step 3-1 input boundary parameters electric output N ge and steam supply load Q;
  • Step 3-3 judge: Q max + ⁇ Q>Q? If yes, go to step 3-4; if no, it is determined that the optimization conditions are not met;
  • Step 3-4 judge: ⁇ Q>Q? Yes, go to step 3-9; No, go to step 3-5;
  • Step 3-5 formulate optimization benchmark; described optimization benchmark is as follows:
  • Steps 3-6 based on benchmark 1, perform iterative optimization, the process is as follows:
  • Step 3-6-2 judge: Q sa1 ⁇ ⁇ Q? Yes, the iterative optimization process is terminated; No, B 1 is calculated according to formula (4) ⁇ formula (6);
  • Step 3-6-3 judge: B 1 ⁇ B 0 0 ? Yes, B 0 0 is still used as the base working condition; No, B 1 is used as the new base working condition;
  • Step 3-6-5 the iterative optimization process ends, and the optimal result B 0 0 of step 3-6 is output;
  • Steps 3-7 based on benchmark 2, perform iterative optimization, the process is as follows:
  • Step 3-7-2 judge: Q po1 ⁇ Q max ? Yes, the iterative optimization process is terminated; No, B 1 is calculated according to formula (4) ⁇ formula (6);
  • Step 3-7-3 determine: B 1 ⁇ B 1 0 ? Yes, B 1 0 is still used as the base working condition; No, B 1 is used as the new base working condition;
  • Step 3-7-5 the iterative optimization process ends, and the optimal result B 1 0 of step 3-7 is output;
  • Steps 3-10 perform iterative optimization, the process is as follows:
  • Step 3-10-3 determine: B 1 ⁇ B 2 0 ? Yes, B 2 0 is still used as the base working condition; No, B 1 is used as the new base working condition;
  • step 3-10-5 the iterative optimization process ends, and the optimal result B 2 0 of the optimization in step 3-10 is output.
  • the present disclosure provides an industrial steam supply system for molten salt heat storage, including the above-mentioned industrial steam supply power plant operation optimization device coupled with molten salt heat storage.
  • the present disclosure provides a terminal device, including a memory, a processor, and a computer program stored in the memory and operable on the processor.
  • a terminal device including a memory, a processor, and a computer program stored in the memory and operable on the processor.
  • the processor executes the computer program, the following is implemented: steps of the method described above.
  • the present disclosure provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.
  • This disclosure takes the lowest standard coal consumption as the objective function, changes the steam supply load distribution of industrial steam supply power stations and molten salt heat storage systems, and compares it with the standard coal consumption of the benchmark working condition. If it is not less than, the original benchmark working condition is still as the benchmark; if it is less than, the new work is used as the benchmark comparison working condition, and the next iteration is continued.
  • the optimization method for the operation of the industrial steam supply power station coupled with molten salt heat storage proposed in this disclosure is in line with the actual project site, and is suitable for the thermal load of the industrial steam supply power station coupled with molten salt heat storage under the dual variable scheduling constraints of electricity and heat. Optimizing distribution and improving the overall energy efficiency of operation has broad application prospects.
  • Fig. 1 is a flowchart of an operation optimization method for an industrial steam supply power station coupled with molten salt heat storage according to an embodiment of the present disclosure.
  • Fig. 2 is a flow chart of optimization determination in an operation optimization method of an industrial steam supply power station coupled with molten salt heat storage according to an embodiment of the present disclosure.
  • Fig. 3 is a structural diagram of an industrial steam supply system for molten salt heat storage according to an embodiment of the present disclosure.
  • 1-boiler 2-high pressure cylinder, 3-medium pressure cylinder, 4-low pressure cylinder, 5-condenser, 6-condensate pump, 7-low pressure heater group, 8-deaerator, 9-front Pump, 10-feed water pump, 11-high pressure heater group, 12-high temperature molten salt storage tank, 13-high temperature molten salt booster pump, 14-high temperature molten salt radiator, 15-low temperature molten salt storage tank, 16- Low-temperature molten salt booster pump, 17-low-temperature molten salt heat absorber, 18-boost pump for steam supply, 19-industrial steam supply header, 20-inlet steam regulating valve, 21-23-valve group.
  • orientation or positional relationship indicated by the terms “upper”, “lower”, “horizontal”, “inside” etc. is based on the orientation or positional relationship shown in the drawings , or the usual orientation or positional relationship of the inventive product in use, is only for the convenience of describing the present disclosure and simplification of the description, and does not indicate or imply that the referred device or element must have a specific orientation or be constructed in a specific orientation and operation, and therefore should not be construed as limiting the present disclosure.
  • the terms “first”, “second”, etc. are only used for distinguishing descriptions, and should not be construed as indicating or implying relative importance.
  • the terms "setting”, “installation”, “connection” and “connection” should be interpreted in a broad sense, for example, It can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediary, and it can be the internal communication of two components.
  • the terms “setting”, “installation”, “connection” and “connection” should be interpreted in a broad sense, for example, It can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediary, and it can be the internal communication of two components.
  • an embodiment of the present disclosure discloses an operation optimization method for an industrial steam supply power station coupled with molten salt heat storage, including the following steps.
  • Step 1 Calculate the standard coal consumption characteristics of the unit steam supplied by the industrial steam supply power station and the molten salt heat storage system.
  • the power output N ge of the industrial steam supply power station coupled with molten salt heat storage and the external steam supply load Q are given, with the goal of minimizing the total standard coal consumption of the unit, and the steam supply load is adjusted between the original steam supply mode and the molten salt heat storage system. Optimize distribution.
  • step 1-1 the correlation characteristics of the electric output N ge -steam supply load Q-unit energy efficiency characteristic B of the unit's own steam supply mode are obtained in the industrial steam supply power station.
  • the total amount of fuel consumed by the unit can reflect the overall energy efficiency of the thermal cycle, which is indicated by the standard coal consumption B.
  • the industrial steam supply power station adopts the steam supply mode of the unit itself, and the external steam supply load Q is related to the power output N ge , see formula (1).
  • Q max f 1 (N ge ), which is the maximum steam supply load under electric output, t/h.
  • the external steam supply load Q of the industrial steam supply power station is adjustable between 0 and Q max .
  • Step 1-2 calculate the standard coal consumption characteristics b sa of the unit steam supply of the molten salt heat storage system as follows:
  • m is the heat source mass flow rate of the molten salt heat storage system, t/h;
  • b sa is the standard coal consumption characteristic, t(standard coal consumption)/t(industrial steam supply);
  • ⁇ Q is the design steam supply load of the heat storage system, t/h.
  • h g , h gs are the enthalpy value of industrial steam supply and feed water at the outlet of the pre-pump respectively, kJ/kg;
  • N ge,0 and Q 0 are the electric output MW of industrial steam supply high electric load section and external steam supply load t/h respectively.
  • the hot re-extraction steam is still sufficient to meet the external steam supply load Q 0 , and the hot re-extraction steam m is used as the heat source of the molten salt heat storage system.
  • More extracted heat resteam m leads to an increase in standard coal consumption, which is the consumption of standard coal for steam supply in the molten salt heat storage system.
  • Step 2 calculate the standard coal consumption under the three steam supply modes.
  • Step 3 Carry out optimization judgment according to standard coal consumption characteristics and standard coal consumption.
  • FIG. 2 schematically shows a flow chart of the optimal determination in the method of the present disclosure.
  • Step 3-1 input boundary parameters electric output N ge and steam supply load Q.
  • Step 3-3 judge: Q max + ⁇ Q>Q? If yes, go to step 3-4; if no, it is determined that the optimization conditions are not met.
  • Step 3-4 judge: ⁇ Q>Q? If yes, go to step 3-9; if no, go to step 3-5.
  • Steps 3-5 develop optimization benchmarks.
  • the optimization criteria are as follows:
  • Steps 3-6 based on benchmark 1, perform iterative optimization, the process is as follows:
  • Step 3-6-2 judge: Q sa1 ⁇ ⁇ Q? If yes, the iterative optimization process is terminated; if no, B 1 is calculated according to formula (4) to formula (6).
  • Step 3-6-3 judge: B 1 ⁇ B 0 0 ? Yes, B 0 0 is still used as the base working condition; No, B 1 is used as the new base working condition.
  • step 3-6-5 the iterative optimization process ends, and the optimal result B 0 0 obtained in step 3-6 is output.
  • Steps 3-7 based on benchmark 2, perform iterative optimization, the process is as follows:
  • Step 3-7-2 judge: Q po1 ⁇ Q max ? If yes, the iterative optimization process is terminated; if no, B 1 is calculated according to formula (4) to formula (6).
  • Step 3-7-3 determine: B 1 ⁇ B 1 0 ? Yes, B 1 0 is still used as the base working condition; No, B 1 is used as the new base working condition.
  • step 3-7-5 the iterative optimization process ends, and the optimal result B 1 0 obtained in step 3-7 is output.
  • steps 3-9 three steam supply modes are listed, the industrial steam supply power station is supplied separately, the molten salt heat storage system is supplied alone, and the industrial steam supply power station and the molten salt heat storage system are jointly supplied.
  • unit steam supply load Q po0 Q
  • molten salt steam supply load Q sa0 0
  • Steps 3-10 perform iterative optimization, the process is as follows:
  • Step 3-10-3 determine: B 1 ⁇ B 2 0 ? Yes, B 2 0 is still used as the base working condition; No, B 1 is used as the new base working condition.
  • step 3-10-5 the iterative optimization process ends, and the optimal result B 2 0 of the optimization in step 3-10 is output.
  • the optimization results of steps 3-5 and 3-10 and the distribution of industrial steam supply loads are the optimal operation mode of the industrial steam supply system coupled with molten salt heat storage for industrial steam supply power stations.
  • the present disclosure also discloses an operation optimization device for an industrial steam supply power station coupled with molten salt heat storage, which includes the following steps:
  • a standard coal consumption characteristic calculation module is used to calculate the standard coal consumption characteristics of industrial steam supply power stations and molten salt heat storage system unit steam supply;
  • a standard coal consumption calculation module the standard coal consumption calculation module is used to calculate the standard coal consumption under the three steam supply modes;
  • An optimization determination module the optimization determination module performs optimization determination according to standard coal consumption characteristics and standard coal consumption.
  • the industrial steam supply power station adopts the steam supply mode of the unit itself, and the correlation characteristic F 1 of the electric output N ge - the steam supply load Q - the energy efficiency characteristic B of the unit is as follows:
  • the standard coal consumption characteristic calculation module is specifically used for:
  • m is the mass flow rate of re-steam for heat storage
  • ⁇ Q is the steam supply load of the heat storage system
  • h g is the enthalpy value of industrial steam supply
  • h gs is the enthalpy value of water supply at the outlet of the pre-pump
  • h rh and h ss are the inlet water enthalpy, respectively
  • ⁇ em is the heat dissipation coefficient
  • b sa is the standard coal consumption characteristic
  • Q 0 is the high electric load range Section external steam supply load
  • N ge,0 is the high electric load of industrial steam supply power station.
  • the three steam supply modes include separate supply by industrial steam supply power station, separate supply by molten salt heat storage system, and joint supply by industrial steam supply power station and molten salt heat storage system.
  • the standard coal consumption calculation module is specifically used to provide standard coal consumption in different modes:
  • Q is the total external steam supply load of the industrial steam supply power station coupled with molten salt heat storage
  • N ge is the power output of the industrial steam supply power station
  • Q po is the industrial supply power under the joint supply mode of the industrial steam supply power station and the molten salt heat storage system.
  • the steam supply load of the steam power station is the total external steam supply load of the industrial steam supply power station coupled with molten salt heat storage
  • N ge is the power output of the industrial steam supply power station
  • Q po is the industrial supply power under the joint supply mode of the industrial steam supply power station and the molten salt heat storage system.
  • the optimization determination module is specifically used for:
  • Step 3-1 input boundary parameters electric output N ge and steam supply load Q;
  • Step 3-3 judge: Q max + ⁇ Q>Q? If yes, go to step 3-4; if no, it is determined that the optimization conditions are not met;
  • Step 3-4 judge: ⁇ Q>Q? Yes, go to step 3-9; No, go to step 3-5;
  • Step 3-5 formulate optimization benchmark; described optimization benchmark is as follows:
  • Steps 3-6 based on benchmark 1, perform iterative optimization, the process is as follows:
  • Step 3-6-2 judge: Q sa1 ⁇ ⁇ Q? Yes, the iterative optimization process is terminated; No, B 1 is calculated according to formula (4) ⁇ formula (6);
  • Step 3-6-3 judge: B 1 ⁇ B 0 0 ? Yes, B 0 0 is still used as the base working condition; No, B 1 is used as the new base working condition;
  • Step 3-6-5 the iterative optimization process ends, and the optimal result B 0 0 of step 3-6 is output;
  • Steps 3-7 based on benchmark 2, perform iterative optimization, the process is as follows:
  • Step 3-7-2 judge: Q po1 ⁇ Q max ? Yes, the iterative optimization process is terminated; No, B 1 is calculated according to formula (4) ⁇ formula (6);
  • Step 3-7-3 determine: B 1 ⁇ B 1 0 ? Yes, B 1 0 is still used as the base working condition; No, B 1 is used as the new base working condition;
  • Step 3-7-5 the iterative optimization process ends, and the optimal result B 1 0 of step 3-7 is output;
  • Steps 3-10 perform iterative optimization, the process is as follows:
  • Step 3-10-3 determine: B 1 ⁇ B 2 0 ? Yes, B 2 0 is still used as the base working condition; No, B 1 is used as the new base working condition;
  • step 3-10-5 the iterative optimization process ends, and the optimal result B 2 0 of the optimization in step 3-10 is output.
  • the present disclosure also provides a molten salt heat storage industrial steam supply system, as shown in Figure 3, including a boiler 1, a high-pressure cylinder 2, a medium-pressure cylinder 3, a low-pressure cylinder 4, a condenser 5, a condensate pump 6, a low-pressure heating Device group 7, deaerator 8, front pump 9, feed water pump 10, high pressure heater group 11, high temperature molten salt storage tank 12, high temperature molten salt booster pump 13, high temperature molten salt radiator 14, low temperature molten salt Storage tank 15, low-temperature molten salt booster pump 16, low-temperature molten salt heat absorber 17, booster pump for steam supply 18, industrial steam supply header 19, steam inlet regulating valve 20 and valve groups 21, 22, 23, which The connections between them are shown in the figure.
  • the molten salt heat storage industrial steam supply system also includes the above-mentioned industrial steam supply power plant operation optimization device coupled with molten salt heat storage, which is used to obtain the system parameters involved in the method of the present disclosure, and use the method defined in the method Optimization of the operation of an industrial steam power plant coupled with molten salt heat storage.
  • An embodiment of the present disclosure discloses a terminal device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, and the processor implements the above method when executing the computer program A step of.
  • a terminal device provided by an embodiment of the present disclosure.
  • the terminal device in this embodiment includes: a processor, a memory, and a computer program stored in the memory and operable on the processor.
  • the processor executes the computer program, the steps in the foregoing method embodiments are implemented.
  • the processor executes the computer program, the functions of the modules/units in the above device embodiments are realized.
  • the computer program may be divided into one or more modules/units stored in the memory and executed by the processor to complete the present disclosure.
  • the terminal device may be computing devices such as desktop computers, notebooks, palmtop computers, and cloud servers.
  • the terminal device may include, but not limited to, a processor and a memory.
  • the processor can be a central processing unit (Central Processing Unit, referred to as CPU), and can also be other general-purpose processors, digital signal processors (Digital Signal Processor, referred to as DSP), application specific integrated circuits (Application Specific Integrated Circuit, referred to as ASIC) ), off-the-shelf programmable gate array (Field-Programmable Gate Array, referred to as FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • CPU Central Processing Unit
  • DSP Digital Signal Processor
  • ASIC Application Specific Integrated Circuit
  • FPGA Field-Programmable Gate Array
  • FPGA Field-Programmable Gate Array
  • the memory can be used to store the computer programs and/or modules, and the processor implements the terminal by running or executing the computer programs and/or modules stored in the memory and calling the data stored in the memory various functions of the device.
  • the embodiment of the present disclosure discloses a computer-readable storage medium, the computer-readable storage medium stores a computer program, and it is characterized in that, when the computer program is executed by a processor, the steps of the above method are implemented.
  • the integrated modules/units of the terminal equipment are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • the present disclosure realizes all or part of the processes in the methods of the above embodiments, and can also be completed by instructing related hardware through computer programs.
  • the computer programs can be stored in a computer-readable storage medium, and the computer When the program is executed by the processor, the steps in the above-mentioned various method embodiments can be realized.
  • the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form.
  • the non-transitory computer readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, removable hard disk, magnetic disk, optical disk, computer memory, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, RAM for short), electric carrier signal, telecommunication signal and software distribution medium, etc.
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • electric carrier signal telecommunication signal and software distribution medium, etc.
  • the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction.
  • computer-readable media Excludes electrical carrier signals and telecommunication signals.

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Abstract

本公开公开了一种耦合熔盐储热的工业供汽电站运行优化方法及系统，以标煤消耗量最低为目标函数，改变工业供汽电站和熔盐储热系统之间的供汽负荷分配，并与基准工况标煤消耗量进行对比，若不小于，原基准工况仍为基准；若小于，新的工况作为基准对比工况，继续下一步迭代。本公开提出的耦合熔盐储热的工业供汽电站运行优化方法，符合工程现场实际，适用于工业供汽电站在满足电、热双变量调度约束条件下进行供汽负荷优化分配，提高整体运行能效，具有广阔的应用前景。

Description

耦合熔盐储热的工业供汽电站运行优化方法及系统
相关申请的交叉引用
本申请基于申请号为202110730478.X、申请日为2021年6月29日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本公开属于工业供汽系统技术领域，涉及一种耦合熔盐储热的工业供汽电站运行优化方法及系统。
背景技术
随着双碳战略的逐步推进，电力能源结构转型升级速度加快，以风、光等具备时变特性的可再生能源将快速发展，称为电能的主要来源。传统火电优化自身定位，从电量主体向承担电网稳压、调峰、调频、托底保供等综合性服务主体转变，促进新能源电力的高比例消纳；与此同时，随着工业化和城市化进程的不断推进，工业蒸汽、居民采暖等集中用热需求快速增长。部分地区以地级市为单元，建设工业园区，集中市区相关工业单位，并以燃煤电站作为电、汽等综合用能中心，以产业链互补、避免重复投资、大幅降低能量传输损失等优势，得到了快速发展。不同于以热水形式的居民采暖，工业供汽受用生产工艺、生产特性、管线长度等影响，工业供汽电站的厂界参数(压力、温度、流量)差异较大，且基本不受地域条件的影响。然而，工业供汽电站同样要参与电网深度调峰，但热电联产机组现有热电解耦技术诸如低压缸零出力、高低压旁路、热水储热、电极蓄热锅炉等均适用于居民采暖机组，工业供汽电站的保热调电需求几无成熟方案可供参考。
熔盐是性能优越的传热蓄热介质，尤其适用于高温条件，在太阳能光热发电和高温工业加热领域已获得普遍应用。熔盐蓄热应用于煤电机组宽负荷工业供汽，已有相关研究。
文献1“罗海华，张后雷，等。基于熔盐蓄热的亚临界火电机组工业供热调峰技术[J]，暖通空调，2020”，提出了一套基于亚临界火电机组工业供热调峰的熔盐蓄热系统，利用再热蒸汽加热熔盐蓄热，在供热不足时通过熔盐加热除氧水产生工业蒸汽。热力分析表明，熔盐蓄放热系统可与火电机组热力系统的参数匹配，实现火电机组热电解耦。
文献2“范庆伟，居文平，等。基于储热过程的工业供汽机组热电解耦研究[J]，汽轮机技术，2019”，针对工业供汽火电机组的热电解耦问题，提出了“多罐-多换热器”的新型储热系 统，以600MW亚临界机组为例，根据储、放热过程中的热力学特性,分阶段设计不同阶段的蒸汽、熔盐的流量配比。计算结果表明，在储热过程中机组的能耗损失约为0.30(g/(kW·h))/MW,在放热过程中,机组的能耗损失约为0.02(g/(kW·h))/MW。在储热过程中机组的能耗损失约为0.30(g/(kW·h))/MW,在放热过程中,机组的能耗损失约为0.02(g/(kW·h))/MW。
文献3“王惠杰，邢满江，等。基于Aspen Plus的供热机组与熔盐蓄热装置耦合系统分析[J]，节能，2019”，根据熔盐蓄热装置和供热机组的耦合原理，提出2个系统的耦合方案，搭建了耦合系统的仿真模型，分析了该耦合系统的经济性和升负荷响应能力。计算结果发现，与原供热机组相比，耦合系统的热耗率在不同工况下分别升高了49.52kJ/(kW·h)、77.26kJ/(kW·h)、75.22kJ/(kW·h)和56.04kJ/(kW·h)，供热机组负荷响应能力得到明显提升。
文献4“董学会。配置蓄热装置的供热机组灵活性分析[D]，华北电力大学，2018”，利用Aspen仿真软件搭建某300MW供热机组稳态流程模型及蓄热装置模型，通过比较不同耦合方式机组的热耗率，深入分析配置蓄热装置后抽凝式供热机组的热经济性。结果表明：在蓄热时采用混合抽汽而在释热时采用排挤高加抽汽耦合方式对机组经济性影响最小。构建抽凝式供热机组与储热装置整体的动态仿真系统模型，分析蓄热装置在协调控制基础上对供热机组的变负荷效果。结果表明：在增加供热机组利用蓄热罐蓄能快速变负荷功能后，可使负荷响应速率显著提高至2.2～3.03Pe/min，有效缓解可再生能源电力大规模并网发电时带来的压力。
综合分析相关文献，现有研究多侧重于熔盐储热系统耦合煤电机组的热力系统性能建模、储热过程热源和放热过程冷源优化设计、能耗变化、热-电运行域的变化等内容，鲜有涉及针对工业供汽电站增设熔盐储热工业供汽系统后，在复杂多变的电、热双变量约束下的优化运行。
发明内容
本公开的目的在于解决现有技术中的问题，提供一种耦合熔盐储热的工业供汽电站运行优化方法、装置、熔盐储热工业供汽系统、终端设备和计算机可读存储介质。
本公开在第一方面提供了一种耦合熔盐储热的工业供汽电站运行优化方法，包括以下步骤：
步骤1，计算工业供汽电站和熔盐储热系统单位供汽的标煤消耗特性；
步骤2，计算三种供汽模式下的标煤消耗量；
步骤3，根据标煤消耗特性和标煤消耗量进行寻优判定。
其中所述三种供汽模式包括工业供汽电站单独供给、熔盐储热系统单独供给、工业供汽电站及熔盐储热系统共同供给。
在一些实施例中，所述工业供汽电站供汽标煤消耗特性如下：
Q＝{0,Q max}＝{0,f 1(N ge)}            (1)
其中，Q max为电出力N ge的最大供汽负荷，Q max＝f 1(N ge)；对于给定的电出力，工业供汽电站对外供汽负荷Q在0和Q max之间可调；
通过现场性能测试得到工业供汽电站采用机组自身供汽方式，电出力N ge-供汽负荷Q-机组能效特性B的关联特性F 1，如下：
B＝F 1(Q,N ge)           (2)。
在一些实施例中，所述熔盐储热供汽的标煤消耗特性如下：
Figure PCTCN2022101968-appb-000001
其中，m为储热用热再蒸汽质量流量，ΔQ为储热系统供汽负荷；h g为工业供汽焓值，h gs为前置泵出口给水焓值，h rh、h ss分别为进入低温熔盐吸热器的热再蒸汽焓值以及出低温熔盐吸热器的蒸汽放热后疏水焓值，η em为散热系数，b sa为标煤消耗特性，Q 0为高电负荷区间段对外供汽负荷，N ge,0为工业供汽电站高电负荷，F 1表示电出力N ge-供汽负荷Q-机组能效特性B的关联特性。
在一些实施例中，所述三种供汽模式包括工业供汽电站单独供给、熔盐储热系统单独供给、工业供汽电站及熔盐储热系统共同供给；
工业供汽电站单独供给，标煤消耗量B po如下：
B po＝F 1(Q,N ge)           (4)
熔盐储热系统单独供给，标煤消耗量B sa如下：
B sa＝Q×b sa                    (5)
工业供汽电站和熔盐储热系统共同供给，标煤消耗量B如下：
B＝F 1(Q po,N ge)+(Q-Q po)×b sa          (6)
其中，Q为耦合熔盐储热的工业供汽电站对外总供汽负荷，N ge为工业供汽电站电出力，Q po为工业供汽电站和熔盐储热系统共同供给模式下的工业供汽电站供汽负荷。
在一些实施例中，所述寻优判定的具体方法如下：
步骤3-1，输入边界参数电出力N ge和供汽负荷Q；
步骤3-2，进行判定：Q max＝f 1(N ge)＜Q？是，进入步骤3-3；否，进入步骤3-9；
步骤3-3，进行判定：Q max+ΔQ＞Q？是，进入步骤3-4；否，判定不具备寻优条件；
步骤3-4，进行判定：ΔQ＞Q？是，进入步骤3-9；否，进入步骤3-5；
步骤3-5，制定寻优基准；所述寻优基准如下：
基准1：机组供汽负荷Q po0＝Q max，熔盐供汽负荷Q sa0＝Q-Q po0，根据式(4)～式(6)计算总标煤消耗量B 0 0；
基准2：熔盐供汽负荷Q sa0＝ΔQ，机组供汽负荷Q po0＝Q-Q sa0，根据式(4)～式(6)计算总标煤消耗量B 1 0；
步骤3-6，针对基准1，进行迭代寻优，过程如下：
步骤3-6-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，令Q po1＝Q po0-1，则Q sa1＝Q sa0+1；
步骤3-6-2，进行判定：Q sa1≥ΔQ？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
步骤3-6-3，进行判定：B 1≥B 0 0？是，B 0 0仍作为基准工况；否，B 1作为新的基准工况；
步骤3-6-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po2＝Q po1-1，Q sa2＝Q sa1+1；转入步骤步骤3-6-2进入迭代；
步骤3-6-5，迭代寻优过程结束，输出步骤3-6寻优的最优结果B 0 0；
步骤3-7，针对基准2，进行迭代寻优，过程如下：
步骤3-7-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，令Q sa1＝Q sa0-1，则Q po1＝Q po0+1；
步骤3-7-2，进行判定：Q po1≥Q max？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
步骤3-7-3，进行判定：B 1≥B 1 0？是，B 1 0仍作为基准工况；否，B 1作为新的基准工况；
步骤3-7-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q sa2＝Q sa1-1，Q po2＝Q po1+1；转入步骤步骤3-7-2进入迭代；
步骤3-7-5，迭代寻优过程结束，输出步骤3-7寻优的最优结果B 1 0；
步骤3-8，进行B 0 0和B 1 0的比较，输出最优结果B best＝min(B 0 0,B 1 0)，并得出对应的供汽负荷分配Q sa、Q po；
步骤3-9，根据三种供汽模式制定寻优基准：机组供汽负荷Q po0＝Q，熔盐供汽负荷Q sa0＝0，根据式(4)～式(6)计算总标煤消耗量B 2 0；
步骤3-10，进行迭代寻优，过程如下：
步骤3-10-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po1＝Q po0-1，Q sa1＝Q sa0+1；
步骤3-10-2，进行判定，Q po1＝0？或Q sa1＝Q？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
步骤3-10-3，进行判定：B 1≥B 2 0？是，B 2 0仍作为基准工况；否，B 1作为新的基准工况；
步骤3-10-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po2＝Q po1-1，Q sa2＝Q sa1+1；转入步骤步骤3-10-2进入迭代；
步骤3-10-5，迭代寻优过程结束，输出步骤3-10寻优的最优结果B 2 0。
本公开在第二方面提供了一种耦合熔盐储热的工业供汽电站运行优化装置，包括：
标煤消耗特性计算模块，所述标煤消耗特性计算模块用于计算工业供汽电站和熔盐储热系统单位供汽的标煤消耗特性；
标煤消耗量计算模块，所述标煤消耗量计算模块用于计算三种供汽模式下的标煤消耗量；
寻优判定模块，所述寻优判定模块根据标煤消耗特性和标煤消耗量进行寻优判定。
在一些实施例中，所述标煤消耗特性计算模块具体用于：
获得所述工业供汽电站供汽标煤消耗特性如下：
Q＝{0,Q max}＝{0,f 1(N ge)}               (1)
其中，Q max为电出力N ge的最大供汽负荷，Q max＝f 1(N ge)；对于给定的电出力，工业供汽电站对外供汽负荷Q在0和Q max之间可调；
通过现场性能测试得到工业供汽电站采用机组自身供汽方式，电出力N ge-供汽负荷Q-机组能效特性B的关联特性F 1，如下：
B＝F 1(Q,N ge)           (2)
计算所述熔盐储热供汽的标煤消耗特性如下：
Figure PCTCN2022101968-appb-000002
其中，m为储热用热再蒸汽质量流量，ΔQ为储热系统供汽负荷；h g为工业供汽焓值， h gs为前置泵出口给水焓值，h rh、h ss分别为进入低温熔盐吸热器的热再蒸汽焓值以及出低温熔盐吸热器的蒸汽放热后疏水焓值，η em为散热系数，b sa为标煤消耗特性，Q 0为高电负荷区间段对外供汽负荷，N ge,0为工业供汽电站高电负荷。
在一些实施例中，所述标煤消耗量计算模块具体用于提供包括工业供汽电站单独供给、熔盐储热系统单独供给、工业供汽电站及熔盐储热系统共同供给的所述三种供汽模式的标煤消耗量：
工业供汽电站单独供给，标煤消耗量B po如下：
B po＝F 1(Q,N ge)             (4)
熔盐储热系统单独供给，标煤消耗量B sa如下：
B sa＝Q×b sa                (5)
工业供汽电站和熔盐储热系统共同供给，标煤消耗量B如下：
B＝F 1(Q po,N ge)+(Q-Q po)×b sa          (6)
其中，Q为耦合熔盐储热的工业供汽电站对外总供汽负荷，N ge为工业供汽电站电出力，Q po为工业供汽电站和熔盐储热系统共同供给模式下的工业供汽电站供汽负荷。
在一些实施例中，所述寻优判定模块具体用于：
步骤3-1，输入边界参数电出力N ge和供汽负荷Q；
步骤3-2，进行判定：Q max＝f 1(N ge)＜Q？是，进入步骤3-3；否，进入步骤3-9；
步骤3-3，进行判定：Q max+ΔQ＞Q？是，进入步骤3-4；否，判定不具备寻优条件；
步骤3-4，进行判定：ΔQ＞Q？是，进入步骤3-9；否，进入步骤3-5；
步骤3-5，制定寻优基准；所述寻优基准如下：
基准3：机组供汽负荷Q po0＝Q max，熔盐供汽负荷Q sa0＝Q-Q po0，根据式(4)～式(6)计算总标煤消耗量B 0 0；
基准3：熔盐供汽负荷Q sa0＝ΔQ，机组供汽负荷Q po0＝Q-Q sa0，根据式(4)～式(6)计算总标煤消耗量B 1 0；
步骤3-6，针对基准1，进行迭代寻优，过程如下：
步骤3-6-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，令Q po1＝Q po0-1，则Q sa1＝Q sa0+1；
步骤3-6-2，进行判定：Q sa1≥ΔQ？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
步骤3-6-3，进行判定：B 1≥B 0 0？是，B 0 0仍作为基准工况；否，B 1作为新的基准工况；
步骤3-6-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po2＝Q po1-1，Q sa2＝Q sa1+1；转入步骤步骤3-6-2进入迭代；
步骤3-6-5，迭代寻优过程结束，输出步骤3-6寻优的最优结果B 0 0；
步骤3-7，针对基准2，进行迭代寻优，过程如下：
步骤3-7-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，令Q sa1＝Q sa0-1，则Q po1＝Q po0+1；
步骤3-7-2，进行判定：Q po1≥Q max？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
步骤3-7-3，进行判定：B 1≥B 1 0？是，B 1 0仍作为基准工况；否，B 1作为新的基准工况；
步骤3-7-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q sa2＝Q sa1-1，Q po2＝Q po1+1；转入步骤步骤3-7-2进入迭代；
步骤3-7-5，迭代寻优过程结束，输出步骤3-7寻优的最优结果B 1 0；
步骤3-8，进行B 0 0和B 1 0的比较，输出最优结果B best＝min(B 0 0,B 1 0)，并得出对应的供汽负荷分配Q sa、Q po；
步骤3-9，根据三种供汽模式制定寻优基准：机组供汽负荷Q po0＝Q，熔盐供汽负荷Q sa0＝0，根据式(4)～式(6)计算总标煤消耗量B 2 0；
步骤3-10，进行迭代寻优，过程如下：
步骤3-10-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po1＝Q po0-1，Q sa1＝Q sa0+1；
步骤3-10-2，进行判定，Q po1＝0？或Q sa1＝Q？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
步骤3-10-3，进行判定：B 1≥B 2 0？是，B 2 0仍作为基准工况；否，B 1作为新的基准工况；
步骤3-10-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po2＝Q po1-1，Q sa2＝Q sa1+1；转入步骤步骤3-10-2进入迭代；
步骤3-10-5，迭代寻优过程结束，输出步骤3-10寻优的最优结果B 2 0。
本公开在第三方面提供了一种熔盐储热工业供汽系统，包括如上所述的耦合熔盐储热的工业供汽电站运行优化装置。
本公开在第四方面提供了一种终端设备，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现如上述方法 的步骤。
本公开在第五方面提供了一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序被处理器执行时实现如上述方法的步骤。
与现有技术相比，本公开具有以下有益效果：
本公开以标煤消耗量最低为目标函数，改变工业供汽电站和熔盐储热系统的供汽负荷分配，并与基准工况标煤消耗量进行对比，若不小于，原基准工况仍为基准；若小于，新的工作作为基准对比工况，继续下一步迭代。本公开提出的耦合熔盐储热的工业供汽电站运行的优化方法，符合工程现场实际，适用于耦合熔盐储热的工业供汽电站在满足电、热双变量调度约束条件下进行热负荷优化分配，提高整体运行能效，具有广阔的应用前景。
附图说明
为了更清楚的说明本公开实施例的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，应当理解，以下附图仅示出了本公开的某些实施例，因此不应被看作是对范围的限定，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他相关的附图。
图1为根据本公开实施例的耦合熔盐储热的工业供汽电站运行优化方法的流程图。
图2为根据本公开实施例的耦合熔盐储热的工业供汽电站运行优化方法中寻优判定的流程图。
图3为根据本公开实施例的熔盐储热工业供汽系统的结构图。
其中：1-锅炉，2-高压缸，3-中压缸，4-低压缸，5-凝汽器，6-凝结水泵，7-低圧加热器组，8-除氧器，9-前置泵，10-给水泵，11-高压加热器组，12-高温熔盐储罐，13-高温熔盐升压泵，14-高温熔盐放热器，15-低温熔盐储罐，16-低温熔盐升压泵，17-低温熔盐吸热器，18-供汽用升压泵，19-工业供汽联箱，20-进汽调节阀，21～23-阀门组。
具体实施方式
为使本公开实施例的目的、技术方案和优点更加清楚，下面将结合本公开实施例中的附图，对本公开实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本公开一部分实施例，而不是全部的实施例。通常在此处附图中描述和示出的本公开实施例的组件可以以各种不同的配置来布置和设计。
因此，以下对在附图中提供的本公开的实施例的详细描述并非旨在限制要求保护的本公 开的范围，而是仅仅表示本公开的选定实施例。基于本公开中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本公开保护的范围。
应注意到：相似的标号和字母在下面的附图中表示类似项，因此，一旦某一项在一个附图中被定义，则在随后的附图中不需要对其进行进一步定义和解释。
在本公开实施例的描述中，需要说明的是，若出现术语“上”、“下”、“水平”、“内”等指示的方位或位置关系为基于附图所示的方位或位置关系，或者是该发明产品使用时惯常摆放的方位或位置关系，仅是为了便于描述本公开和简化描述，而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作，因此不能理解为对本公开的限制。此外，术语“第一”、“第二”等仅用于区分描述，而不能理解为指示或暗示相对重要性。
此外，若出现术语“水平”，并不表示要求部件绝对水平，而是可以稍微倾斜。如“水平”仅仅是指其方向相对“竖直”而言更加水平，并不是表示该结构一定要完全水平，而是可以稍微倾斜。
在本公开实施例的描述中，还需要说明的是，除非另有明确的规定和限定，若出现术语“设置”、“安装”、“相连”、“连接”应做广义理解，例如，可以是固定连接，也可以是可拆卸连接，或一体地连接；可以是机械连接，也可以是电连接；可以是直接相连，也可以通过中间媒介间接相连，可以是两个元件内部的连通。对于本领域的普通技术人员而言，可以根据具体情况理解上述术语在本公开中的具体含义。
下面结合附图对本公开做进一步详细描述：
参见图1，本公开实施例公开了一种耦合熔盐储热的工业供汽电站运行优化方法，包括以下步骤。
步骤1，计算工业供汽电站和熔盐储热系统单位供汽的标煤消耗特性。
耦合熔盐储热的工业供汽电站电出力N ge和对外供汽负荷Q给定，以机组总标煤消耗量最低为目标，在原供汽方式和熔盐储热系统之间进行供汽负荷优化分配。
步骤1-1，得出工业供汽电站采用机组自身供汽方式的电出力N ge-供汽负荷Q-机组能效特性B的关联特性。
工业供汽电站在电出力N ge和对外供汽负荷Q的电热双供应条件下，机组所消耗的燃料总量，可反映热力循环的整体能效，以标煤消耗量B指征。
通过现场性能测试的技术手段，得出工业供汽电站采用机组自身供汽方式，对外供汽负荷Q随电出力N ge的关联特性，见式(1)。
Q＝{0,Q max}＝{0,f 1(N ge)}          (1)
式中，Q max＝f 1(N ge)，为电出力下的最大供汽负荷，t/h。
对于给定的电出力，工业供汽电站对外供汽负荷Q在0和Q max之间可调。
通过现场性能测试的技术手段，得出工业供汽电站采用机组自身供汽方式，电出力N ge-供汽负荷Q-机组能效特性B的关联特性F 1，见式(2)。
B＝F 1(Q,N ge)            (2)
步骤1-2，计算熔盐储热系统单位供汽的标煤消耗特性b sa如下：
Figure PCTCN2022101968-appb-000003
其中，m为熔盐储热系统的热源质量流量，t/h；b sa为标煤消耗特性，t(标煤消耗)/t(工业供汽)；ΔQ为储热系统设计供汽负荷，t/h。
h g、h gs分别为工业供汽焓值、前置泵出口给水焓值，kJ/kg；h rh、h ss分别为进入低温熔盐吸热器17(如图3所示)的热再蒸汽焓值以及出低温熔盐吸热器17的蒸汽放热后疏水焓值，kJ/kg。
N ge,0、Q 0分别为工业供汽高电负荷区间段的电出力MW、对外供汽负荷t/h。
工业供汽机组在高电负荷N ge,0区间段时，热再抽汽除满足对外供汽负荷Q 0外尚有富裕，再抽取热再蒸汽m作为熔盐储热系统的热源，此时多抽取的热再蒸汽m引起标煤消耗量增加，即为熔盐储热系统的供汽标煤消耗。
步骤2，计算三种供汽模式下的标煤消耗量。
工业供汽电站设置熔盐储热工业供汽系统后，共有三种供汽模式：
1)工业供汽电站单独供给，标煤消耗量B po如下：
B po＝F 1(Q,N ge)          (4)
2)熔盐储热系统单独供给，标煤消耗量B sa如下：
B sa＝Q×b sa            (5)
3)工业供汽电站和熔盐储热系统共同供给，标煤消耗量B如下：
B＝F 1(Q po,N ge)+(Q-Q po)×b sa        (6)
步骤3，根据标煤消耗特性和标煤消耗量进行寻优判定。
在本公开的实施例中，寻优判定可以通过以下具体的步骤进行，图2示意性表示了本公开的方法中寻优判定的流程图。
步骤3-1，输入边界参数电出力N ge和供汽负荷Q。
步骤3-2，进行判定：Q max＝f 1(N ge)＜Q？是，进入步骤3-3；否，进入步骤3-9。
步骤3-3，进行判定：Q max+ΔQ＞Q？是，进入步骤3-4；否，判定不具备寻优条件。
步骤3-4，进行判定：ΔQ＞Q？是，进入步骤3-9；否，进入步骤3-5。
步骤3-5，制定寻优基准。所述寻优基准如下：
基准1：机组供汽负荷Q po0＝Q max，熔盐供汽负荷Q sa0＝Q-Q po0，根据式(4)～式(6)计算总标煤消耗量B 0 0。
基准2：熔盐供汽负荷Q sa0＝ΔQ，机组供汽负荷Q po0＝Q-Q sa0，根据式(4)～式(6)计算总标煤消耗量B 1 0。
步骤3-6，针对基准1，进行迭代寻优，过程如下：
步骤3-6-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，令Q po1＝Q po0-1，则Q sa1＝Q sa0+1。
步骤3-6-2，进行判定：Q sa1≥ΔQ？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1。
步骤3-6-3，进行判定：B 1≥B 0 0？是，B 0 0仍作为基准工况；否，B 1作为新的基准工况。
步骤3-6-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po2＝Q po1-1，Q sa2＝Q sa1+1。转入步骤3-6-2进入迭代。
步骤3-6-5，迭代寻优过程结束，输出步骤3-6寻优的最优结果B 0 0。
步骤3-7，针对基准2，进行迭代寻优，过程如下：
步骤3-7-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，令Q sa1＝Q sa0-1，则Q po1＝Q po0+1。
步骤3-7-2，进行判定：Q po1≥Q max？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1。
步骤3-7-3，进行判定：B 1≥B 1 0？是，B 1 0仍作为基准工况；否，B 1作为新的基准工况。
步骤3-7-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q sa2＝Q sa1-1，Q po2＝Q po1+1。转入步骤步骤3-7-2进入迭代。
步骤3-7-5，迭代寻优过程结束，输出步骤3-7寻优的最优结果B 1 0。
步骤3-8，进行B 0 0和B 1 0比较，输出最优结果B best＝min(B 0 0,B 1 0)，并得出对应的供汽负 荷分配Q sa、Q po
步骤3-9，列出三种供汽模式，工业供汽电站单独供给，熔盐储热系统单独供给，工业供汽电站和熔盐储热系统共同供给。
制定寻优基准：机组供汽负荷Q po0＝Q，熔盐供汽负荷Q sa0＝0，根据式(4)～式(6)计算总标煤消耗量B 2 0。
步骤3-10，进行迭代寻优，过程如下：
步骤3-10-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po1＝Q po0-1，Q sa1＝Q sa0+1，
步骤3-10-2，进行判定，Q po1＝0？或Q sa1＝Q？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1。
步骤3-10-3，进行判定：B 1≥B 2 0？是，B 2 0仍作为基准工况；否，B 1作为新的基准工况。
步骤3-10-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po2＝Q po1-1，Q sa2＝Q sa1+1。转入步骤3-10-2进入迭代。
步骤3-10-5，迭代寻优过程结束，输出步骤3-10寻优的最优结果B 2 0。
综上，步骤3-5和步骤3-10的寻优结果及工业供汽负荷分配，即为工业供汽电站耦合熔盐储热的工业供汽系统最优运行方式。
本公开还公开了一种耦合熔盐储热的工业供汽电站运行优化装置，包括以下步骤：
标煤消耗特性计算模块，所述标煤消耗特性计算模块用于计算工业供汽电站以及熔盐储热系统单位供汽的标煤消耗特性；
标煤消耗量计算模块，所述标煤消耗量计算模块用于计算三种供汽模式下的标煤消耗量；
寻优判定模块，所述寻优判定模块根据标煤消耗特性和标煤消耗量进行寻优判定。
所述标煤消耗特性计算模块具体用于：
获得所述工业供汽电站供汽标煤消耗特性如下：
Q＝{0,Q max}＝{0,f 1(N ge)}          (1)
其中，Q max为电出力N ge的最大供汽负荷，Q max＝f 1(N ge)；对于给定的电出力，工业供汽电站对外供汽负荷Q在0和Q max之间可调；
通过现场性能测试得到工业供汽电站采用机组自身供汽方式，电出力N ge-供汽负荷Q-机组能效特性B的关联特性F 1，如下：
B＝F 1(Q,N ge)           (2)。
进一步地，所述标煤消耗特性计算模块具体用于：
计算所述熔盐储热供汽的标煤消耗特性如下：
Figure PCTCN2022101968-appb-000004
其中，m为储热用热再蒸汽质量流量，ΔQ为储热系统供汽负荷；h g为工业供汽焓值，h gs为前置泵出口给水焓值，h rh、h ss分别为进入低温熔盐吸热器的热再蒸汽焓值以及出低温熔盐吸热器的蒸汽放热后疏水焓值，η em为散热系数，b sa为标煤消耗特性，Q 0为高电负荷区间段对外供汽负荷，N ge,0为工业供汽电站高电负荷。
所述三种供汽模式包括工业供汽电站单独供给、熔盐储热系统单独供给、工业供汽电站及熔盐储热系统共同供给。所述标煤消耗量计算模块具体用于提供不同模式下的标煤消耗量：
1)工业供汽电站单独供给，标煤消耗量B po如下：
B po＝F 1(Q,N ge)           (4)
2)熔盐储热系统单独供给，标煤消耗量B sa如下：
B sa＝Q×b sa              (5)
3)工业供汽电站和熔盐储热系统共同供给，标煤消耗量B如下：
B＝F 1(Q po,N ge)+(Q-Q po)×b sa          (6)
其中，Q为耦合熔盐储热的工业供汽电站对外总供汽负荷，N ge为工业供汽电站电出力，Q po为工业供汽电站和熔盐储热系统共同供给模式下的工业供汽电站供汽负荷。
所述寻优判定模块具体用于：
步骤3-1，输入边界参数电出力N ge和供汽负荷Q；
步骤3-2，进行判定：Q max＝f 1(N ge)＜Q？是，进入步骤3-3；否，进入步骤3-9；
步骤3-3，进行判定：Q max+ΔQ＞Q？是，进入步骤3-4；否，判定不具备寻优条件；
步骤3-4，进行判定：ΔQ＞Q？是，进入步骤3-9；否，进入步骤3-5；
步骤3-5，制定寻优基准；所述寻优基准如下：
基准3：机组供汽负荷Q po0＝Q max，熔盐供汽负荷Q sa0＝Q-Q po0，根据式(4)～式(6)计算总标煤消耗量B 0 0；
基准3：熔盐供汽负荷Q sa0＝ΔQ，机组供汽负荷Q po0＝Q-Q sa0，根据式(4)～式(6)计算 总标煤消耗量B 1 0；
步骤3-6，针对基准1，进行迭代寻优，过程如下：
步骤3-6-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，令Q po1＝Q po0-1，则Q sa1＝Q sa0+1；
步骤3-6-2，进行判定：Q sa1≥ΔQ？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
步骤3-6-3，进行判定：B 1≥B 0 0？是，B 0 0仍作为基准工况；否，B 1作为新的基准工况；
步骤3-6-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po2＝Q po1-1，Q sa2＝Q sa1+1；转入步骤步骤3-6-2进入迭代；
步骤3-6-5，迭代寻优过程结束，输出步骤3-6寻优的最优结果B 0 0；
步骤3-7，针对基准2，进行迭代寻优，过程如下：
步骤3-7-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，令Q sa1＝Q sa0-1，则Q po1＝Q po0+1；
步骤3-7-2，进行判定：Q po1≥Q max？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
步骤3-7-3，进行判定：B 1≥B 1 0？是，B 1 0仍作为基准工况；否，B 1作为新的基准工况；
步骤3-7-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q sa2＝Q sa1-1，Q po2＝Q po1+1；转入步骤步骤3-7-2进入迭代；
步骤3-7-5，迭代寻优过程结束，输出步骤3-7寻优的最优结果B 1 0；
步骤3-8，进行B 0 0和B 1 0的比较，输出最优结果B best＝min(B 0 0,B 1 0)，并得出对应的供汽负荷分配Q sa、Q po；
步骤3-9，根据三种供汽模式制定寻优基准：机组供汽负荷Q po0＝Q，熔盐供汽负荷Q sa0＝0，根据式(4)～式(6)计算总标煤消耗量B 2 0；
步骤3-10，进行迭代寻优，过程如下：
步骤3-10-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po1＝Q po0-1，Q sa1＝Q sa0+1；
步骤3-10-2，进行判定，Q po1＝0？或Q sa1＝Q？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
步骤3-10-3，进行判定：B 1≥B 2 0？是，B 2 0仍作为基准工况；否，B 1作为新的基准工况；
步骤3-10-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷， Q po2＝Q po1-1，Q sa2＝Q sa1+1；转入步骤步骤3-10-2进入迭代；
步骤3-10-5，迭代寻优过程结束，输出步骤3-10寻优的最优结果B 2 0。
本公开还提供了一种熔盐储热工业供汽系统，如图3所示，包括锅炉1、高压缸2、中压缸3、低压缸4、凝汽器5、凝结水泵6、低圧加热器组7、除氧器8、前置泵9、给水泵10、高压加热器组11、高温熔盐储罐12、高温熔盐升压泵13、高温熔盐放热器14、低温熔盐储罐15、低温熔盐升压泵16、低温熔盐吸热器17、供汽用升压泵18、工业供汽联箱19、进汽调节阀20和阀门组21、22、23，它们之间的连接关系如图所示。
该熔盐储热工业供汽系统还包括如上所述的耦合熔盐储热的工业供汽电站运行优化装置，用于获得本公开的方法中涉及的系统参数，并以该方法中限定的方法对耦合熔盐储热的工业供汽电站的运行进行优化。
本公开实施例公开了一种终端设备，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现如上述方法的步骤。
本公开实施例提供的终端设备。该实施例的终端设备包括：处理器、存储器以及存储在所述存储器中并可在所述处理器上运行的计算机程序。所述处理器执行所述计算机程序时实现上述各个方法实施例中的步骤。或者，所述处理器执行所述计算机程序时实现上述各装置实施例中各模块/单元的功能。
所述计算机程序可以被分割成一个或多个模块/单元，所述一个或者多个模块/单元被存储在所述存储器中，并由所述处理器执行，以完成本公开。
所述终端设备可以是桌上型计算机、笔记本、掌上电脑及云端服务器等计算设备。所述终端设备可包括，但不仅限于，处理器、存储器。
所述处理器可以是中央处理单元(Central Processing Unit，简称CPU)，还可以是其他通用处理器、数字信号处理器(Digital Signal Processor，简称DSP)、专用集成电路(Application Specific Integrated Circuit，简称ASIC)、现成可编程门阵列(Field-Programmable Gate Array，简称FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。
所述存储器可用于存储所述计算机程序和/或模块，所述处理器通过运行或执行存储在所述存储器内的计算机程序和/或模块，以及调用存储在存储器内的数据，实现所述终端设备的各种功能。
本公开实施例公开了一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现如上述方法的步骤。
所述终端设备集成的模块/单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本公开实现上述实施例方法中的全部或部分流程，也可以通过计算机程序来指令相关的硬件来完成，所述的计算机程序可存储于一计算机可读存储介质中，该计算机程序在被处理器执行时，可实现上述各个方法实施例的步骤。其中，所述计算机程序包括计算机程序代码，所述计算机程序代码可以为源代码形式、对象代码形式、可执行文件或某些中间形式等。非临时性计算机可读介质可以包括：能够携带所述计算机程序代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机存储器、只读存储器(Read-Only Memory，简称ROM)、随机存取存储器(Random Access Memory，简称RAM)、电载波信号、电信信号以及软件分发介质等。需要说明的是，所述计算机可读介质包含的内容可以根据司法管辖区内立法和专利实践的要求进行适当的增减，例如在某些司法管辖区，根据立法和专利实践，计算机可读介质不包括电载波信号和电信信号。
以上仅为本公开的优选实施例而已，并不用于限制本公开，对于本领域的技术人员来说，本公开可以有各种更改和变化。凡在本公开的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本公开的保护范围之内。

Claims (13)

  1. 一种耦合熔盐储热的工业供汽电站运行优化方法，包括以下步骤：
    步骤1，计算工业供汽电站和熔盐储热系统单位供汽的标煤消耗特性；
    步骤2，计算三种供汽模式下的标煤消耗量；
    步骤3，根据标煤消耗特性和标煤消耗量进行寻优判定。
  2. 根据权利要求1所述的方法，其中所述三种供汽模式包括工业供汽电站单独供给、熔盐储热系统单独供给、工业供汽电站及熔盐储热系统共同供给。
  3. 根据权利要求1或2所述的方法，其中所述工业供汽电站供汽标煤消耗特性如下：
    Q＝{0,Q max}＝{0,f 1(N ge)}  (1)
    其中，Q max为电出力N ge的最大供汽负荷，Q max＝f 1(N ge)；对于给定的电出力，工业供汽电站对外供汽负荷Q在0和Q max之间可调；
    通过现场性能测试得到工业供汽电站采用机组自身供汽方式，电出力N ge-供汽负荷Q-机组能效特性B的关联特性F 1，如下：
    B＝F 1(Q,N ge)  (2)。
  4. 根据权利要求1至3中任一项所述的方法，其中所述熔盐储热供汽的标煤消耗特性如下：
    Figure PCTCN2022101968-appb-100001
    其中，m为储热用热再蒸汽质量流量，ΔQ为储热系统供汽负荷；h g为工业供汽焓值，h gs为前置泵出口给水焓值，h rh、h ss分别为进入低温熔盐吸热器的热再蒸汽焓值以及出低温熔盐吸热器的蒸汽放热后疏水焓值，η em为散热系数，b sa为标煤消耗特性，Q 0为高电负荷区间段对外供汽负荷，N ge,0为工业供汽电站高电负荷，F 1表示电出力N ge-供汽负荷Q-机组能效特性B的关联特性。
  5. 根据权利要求1至4中任一项所述的方法，其中所述三种供汽模式包括工业供汽电站单独供给、熔盐储热系统单独供给、工业供汽电站及熔盐储热系统共同供给；
    工业供汽电站单独供给，标煤消耗量B po如下：
    B po＝F 1(Q,N ge)  (4)
    熔盐储热系统单独供给，标煤消耗量B sa如下：
    B sa＝Q×b sa  (5)
    工业供汽电站和熔盐储热系统共同供给，标煤消耗量B如下：
    B＝F 1(Q po,N ge)+(Q-Q po)×b sa  (6)
    其中，Q为耦合熔盐储热的工业供汽电站对外总供汽负荷，N ge为工业供汽电站电出力，Q po为工业供汽电站和熔盐储热系统共同供给模式下的工业供汽电站供汽负荷。
  6. 根据权利要求5所述的方法，其中所述寻优判定的具体方法如下：
    步骤3-1，输入边界参数电出力N ge和供汽负荷Q；
    步骤3-2，进行判定：Q max＝f 1(N ge)＜Q？是，进入步骤3-3；否，进入步骤3-9；
    步骤3-3，进行判定：Q max+ΔQ＞Q？是，进入步骤3-4；否，判定不具备寻优条件；
    步骤3-4，进行判定：ΔQ＞Q？是，进入步骤3-9；否，进入步骤3-5；
    步骤3-5，制定寻优基准；所述寻优基准如下：
    基准3：机组供汽负荷Q po0＝Q max，熔盐供汽负荷Q sa0＝Q-Q po0，根据式(4)～式(6)计算总标煤消耗量B 0 0；
    基准3：熔盐供汽负荷Q sa0＝ΔQ，机组供汽负荷Q po0＝Q-Q sa0，根据式(4)～式(6)计算总标煤消耗量B 1 0；
    步骤3-6，针对基准1，进行迭代寻优，过程如下：
    步骤3-6-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，令Q po1＝Q po0-1，则Q sa1＝Q sa0+1；
    步骤3-6-2，进行判定：Q sa1≥ΔQ？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
    步骤3-6-3，进行判定：B 1≥B 0 0？是，B 0 0仍作为基准工况；否，B 1作为新的基准工况；
    步骤3-6-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po2＝Q po1-1，Q sa2＝Q sa1+1；转入步骤步骤3-6-2进入迭代；
    步骤3-6-5，迭代寻优过程结束，输出步骤3-6寻优的最优结果B 0 0；
    步骤3-7，针对基准2，进行迭代寻优，过程如下：
    步骤3-7-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，令Q sa1＝Q sa0-1，则Q po1＝Q po0+1；
    步骤3-7-2，进行判定：Q po1≥Q max？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
    步骤3-7-3，进行判定：B 1≥B 1 0？是，B 1 0仍作为基准工况；否，B 1作为新的基准工况；
    步骤3-7-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q sa2＝Q sa1-1，Q po2＝Q po1+1；转入步骤步骤3-7-2进入迭代；
    步骤3-7-5，迭代寻优过程结束，输出步骤3-7寻优的最优结果B 1 0；
    步骤3-8，进行B 0 0和B 1 0的比较，输出最优结果B best＝min(B 0 0,B 1 0)，并得出对应的供汽负荷分配Q sa、Q po；
    步骤3-9，根据三种供汽模式制定寻优基准：机组供汽负荷Q po0＝Q，熔盐供汽负荷Q sa0＝0，根据式(4)～式(6)计算总标煤消耗量B 2 0；
    步骤3-10，进行迭代寻优，过程如下：
    步骤3-10-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po1＝Q po0-1，Q sa1＝Q sa0+1；
    步骤3-10-2，进行判定，Q po1＝0？或Q sa1＝Q？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
    步骤3-10-3，进行判定：B 1≥B 2 0？是，B 2 0仍作为基准工况；否，B 1作为新的基准工况；
    步骤3-10-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po2＝Q po1-1，Q sa2＝Q sa1+1；转入步骤步骤3-10-2进入迭代；
    步骤3-10-5，迭代寻优过程结束，输出步骤3-10寻优的最优结果B 2 0。
  7. 一种耦合熔盐储热的工业供汽电站运行优化装置，包括：
    标煤消耗特性计算模块，所述标煤消耗特性计算模块用于计算工业供汽电站和熔盐储热系统单位供汽的标煤消耗特性；
    标煤消耗量计算模块，所述标煤消耗量计算模块用于计算三种供汽模式下的标煤消耗量；
    寻优判定模块，所述寻优判定模块根据标煤消耗特性和标煤消耗量进行寻优判定。
  8. 根据权利要求7所述的装置，其中所述标煤消耗特性计算模块具体用于：
    获得所述工业供汽电站供汽标煤消耗特性如下：
    Q＝{0,Q max}＝{0,f 1(N ge)}  (1)
    其中，Q max为电出力N ge的最大供汽负荷，Q max＝f 1(N ge)；对于给定的电出力，工业供汽电站对外供汽负荷Q在0和Q max之间可调；
    通过现场性能测试得到工业供汽电站采用机组自身供汽方式，电出力N ge-供汽负荷Q-机组能效特性B的关联特性F 1，如下：
    B＝F 1(Q,N ge)  (2)
    计算所述熔盐储热供汽的标煤消耗特性如下：
    Figure PCTCN2022101968-appb-100002
    其中，m为储热用热再蒸汽质量流量，ΔQ为储热系统供汽负荷；h g为工业供汽焓值，h gs为前置泵出口给水焓值，h rh、h ss分别为进入低温熔盐吸热器的热再蒸汽焓值以及出低温熔盐吸热器的蒸汽放热后疏水焓值，η em为散热系数，b sa为标煤消耗特性，Q 0为高电负荷区间段对外供汽负荷，N ge,0为工业供汽电站高电负荷。
  9. 根据权利要求8所述的装置，其中所述标煤消耗量计算模块具体用于提供包括工业供汽电站单独供给、熔盐储热系统单独供给、工业供汽电站及熔盐储热系统共同供给的所述三种供汽模式的标煤消耗量：
    工业供汽电站单独供给，标煤消耗量B po如下：
    B po＝F 1(Q,N ge)  (4)
    熔盐储热系统单独供给，标煤消耗量B sa如下：
    B sa＝Q×b sa  (5)
    工业供汽电站和熔盐储热系统共同供给，标煤消耗量B如下：
    B＝F 1(Q po,N ge)+(Q-Q po)×b sa  (6)
    其中，Q为耦合熔盐储热的工业供汽电站对外总供汽负荷，N ge为工业供汽电站电出力，Q po为工业供汽电站和熔盐储热系统共同供给模式下的工业供汽电站供汽负荷。
  10. 根据权利要求9所述的装置，其中所述寻优判定模块具体用于：
    步骤3-1，输入边界参数电出力N ge和供汽负荷Q；
    步骤3-2，进行判定：Q max＝f 1(N ge)＜Q？是，进入步骤3-3；否，进入步骤3-9；
    步骤3-3，进行判定：Q max+ΔQ＞Q？是，进入步骤3-4；否，判定不具备寻优条件；
    步骤3-4，进行判定：ΔQ＞Q？是，进入步骤3-9；否，进入步骤3-5；
    步骤3-5，制定寻优基准；所述寻优基准如下：
    基准3：机组供汽负荷Q po0＝Q max，熔盐供汽负荷Q sa0＝Q-Q po0，根据式(4)～式(6)计算总标煤消耗量B 0 0；
    基准3：熔盐供汽负荷Q sa0＝ΔQ，机组供汽负荷Q po0＝Q-Q sa0，根据式(4)～式(6)计算总标煤消耗量B 1 0；
    步骤3-6，针对基准1，进行迭代寻优，过程如下：
    步骤3-6-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，令Q po1＝Q po0-1，则Q sa1＝Q sa0+1；
    步骤3-6-2，进行判定：Q sa1≥ΔQ？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
    步骤3-6-3，进行判定：B 1≥B 0 0？是，B 0 0仍作为基准工况；否，B 1作为新的基准工况；
    步骤3-6-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po2＝Q po1-1，Q sa2＝Q sa1+1；转入步骤步骤3-6-2进入迭代；
    步骤3-6-5，迭代寻优过程结束，输出步骤3-6寻优的最优结果B 0 0；
    步骤3-7，针对基准2，进行迭代寻优，过程如下：
    步骤3-7-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，令Q sa1＝Q sa0-1，则Q po1＝Q po0+1；
    步骤3-7-2，进行判定：Q po1≥Q max？是，迭代寻优过程终止；否，根据式(4)～式(6)计算B 1；
    步骤3-7-3，进行判定：B 1≥B 1 0？是，B 1 0仍作为基准工况；否，B 1作为新的基准工况；
    步骤3-7-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q sa2＝Q sa1-1，Q po2＝Q po1+1；转入步骤步骤3-7-2进入迭代；
    步骤3-7-5，迭代寻优过程结束，输出步骤3-7寻优的最优结果B 1 0；
    步骤3-8，进行B 0 0和B 1 0的比较，输出最优结果B best＝min(B 0 0,B 1 0)，并得出对应的供汽负荷分配Q sa、Q po；
    步骤3-9，根据三种供汽模式制定寻优基准：机组供汽负荷Q po0＝Q，熔盐供汽负荷Q sa0＝0，根据式(4)～式(6)计算总标煤消耗量B 2 0；
    步骤3-10，进行迭代寻优，过程如下：
    步骤3-10-1，以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po1＝Q po0-1，Q sa1＝Q sa0+1；
    步骤3-10-2，进行判定，Q po1＝0？或Q sa1＝Q？是，迭代寻优过程终止；否，根据式(4) ～式(6)计算B 1；
    步骤3-10-3，进行判定：B 1≥B 2 0？是，B 2 0仍作为基准工况；否，B 1作为新的基准工况；
    步骤3-10-4，继续以1t/h的变化幅度改变工业供汽电站和熔盐储热系统的供汽负荷，Q po2＝Q po1-1，Q sa2＝Q sa1+1；转入步骤步骤3-10-2进入迭代；
    步骤3-10-5，迭代寻优过程结束，输出步骤3-10寻优的最优结果B 2 0。
  11. 一种熔盐储热工业供汽系统，包括根据权利要求7至10中任一项所述的耦合熔盐储热的工业供汽电站运行优化装置。
  12. 一种终端设备，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现如权利要求1至6中任一项所述方法的步骤。
  13. 一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序被处理器执行时实现如权利要求1至6中任一项所述方法的步骤。
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