Operation overall planning method and system for cogeneration unit

Abstract

The invention relates to an operation overall planning method and system for a combined heat and power generation unit, and the method comprises the steps: constructing an energy consumption analysis model of the combined heat and power generation unit integrating a heat storage module and a thermal power generation module; fitting an energy efficiency variable curve of the cogeneration unit under the typical working condition through the energy consumption analysis model to obtain an undetermined coefficient related to the heat release power of the heat storage module; and under a preset constraint condition, the maximum additional power generation target function of the cogeneration unit under the peak output condition is taken as an optimization target, and the heat release power curve of the heat storage module is iteratively corrected based on the undetermined coefficient related to the heat release power. By means of the method and device, efficient operation of the heat storage module is achieved while the peak output of the unit is met, the heat release power optimization result meeting the maximum extra generating capacity under the peak output of the unit is obtained, feasible guidance is provided for efficient operation of the unit, and the problem that the power of an existing cogeneration unit is difficult to regulate and control is solved.

Description

Technical Field

[0001] The present application relates to the technical field of cogeneration, and in particular to an operation coordination method and system for a cogeneration unit. Background Art

[0002] Due to the volatility of renewable energy generation, absorbing renewable energy generation has become an important challenge in the energy and power sector. In order to achieve the goal of a higher proportion of renewable energy generation access to the grid and meet the increasing demand for heat load, the flexibility of cogeneration units should be fully exploited. Thermal decoupling technologies such as low-pressure cylinder zero output and electric boilers can enhance the peak-shaving capacity of cogeneration units and further increase their flexibility. However, most thermal decoupling technologies increase the heating load capacity by reducing the electrical load, and the upward peak capacity of the unit is limited.

[0003] Introducing a heat storage system instead of a heat recovery system can improve the peak capacity of the cogeneration unit, broaden the operating range of the electric heat load and the control strategy to cope with complex electric heat load requirements. However, during the peak process, various parameters of the integrated system change under different operating conditions, making the process of calculating the increase in output power complicated, making it difficult to determine the appropriate heat release power.

[0004] At present, the existing cogeneration units in the relevant technology have the problem of difficult power regulation, and no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present application provide a method and system for coordinating the operation of a cogeneration unit, so as to at least solve the problem that the power of existing cogeneration units in the related art is difficult to regulate.

[0006] In a first aspect, an embodiment of the present application provides an operation coordination method for a cogeneration unit, the method comprising:

[0007] Constructing an energy consumption analysis model for a cogeneration unit, wherein the cogeneration unit integrates a heat storage module and a thermal power generation module;

[0008] By using the energy consumption analysis model, the energy efficiency variable curve of the cogeneration unit under typical working conditions is fitted to obtain the undetermined coefficients related to the heat release power of the heat storage module;

[0009] Under preset constraints, the additional power generation objective function of the cogeneration unit at peak output is maximized as the optimization goal, and the heat release power curve of the heat storage module is iteratively corrected based on the undetermined coefficients related to the heat release power.

[0010] In some embodiments, building an energy consumption analysis model for a combined heat and power unit includes:

[0011] Constructing an energy consumption analysis model for a cogeneration unit:

[0012]

[0013] in, It is the increase in the output power of the cogeneration unit during the peak output operation cycle. It is the steam from the boiler side of the thermal power generation module in the cogeneration unit to the steam turbine. flow, It is the heat load return water of the cogeneration unit entering the steam turbine flow, It is the additional energy that enters the steam turbine during the peak output operation cycle of the cogeneration unit. Flow, η i It is the comprehensive performance of the steam turbine of the cogeneration unit during the peak output operation cycle. Efficiency, η0 is the comprehensive efficiency of the steam turbine of the CHP unit without integrated thermal storage module. efficiency.

[0014] In some embodiments, the energy consumption analysis model is used to fit the energy efficiency variable curve of the cogeneration unit under typical working conditions, and the undetermined coefficients related to the heat release power of the heat storage module are obtained, including:

[0015] Under the typical operating conditions of the cogeneration unit, determining the calculation formula of the variable parameters in the energy consumption analysis model;

[0016] Based on the calculation formula of the variable parameters, the undetermined coefficients related to the heat release power of the heat storage module are obtained by least square fitting.

[0017] In some embodiments, under the typical operating conditions of the cogeneration unit, the calculation formula for determining the variable parameters in the energy consumption analysis model includes:

[0018] Under the typical operating conditions of the cogeneration unit, the calculation formula for the variable parameters in the energy consumption analysis model is determined as follows:

[0019]

[0020] Among them, e is the working fluid flow, h is the specific enthalpy of the working fluid at pressure p and temperature T, h0 is the specific enthalpy of the turbine working fluid at reference pressure and reference temperature, T0 is the reference temperature, s is the specific entropy of the working fluid at pressure p and temperature T, s0 is the specific entropy of the working fluid at ambient pressure and temperature, M is the input from the boiler to the turbine The number of flows, is the working fluid flow rate from the i-th boiler side to the steam turbine, e iis the ratio of the working fluid from the i-th boiler side to the working fluid entering the turbine , N is the return water input The number of flows, is the working fluid flow rate of the jth return water, e j is the ratio of the return of the jth share , It is absorbed by the cold fluid in the heat exchanger of the heat storage module. , O is the cold fluid outlet of the heat exchanger of the heat storage module The number of flows, is the outlet working medium flow rate of the xth cold fluid of the heat exchanger of the heat storage module, e x,out is the ratio of the xth cold fluid outlet working fluid of the heat storage module heat exchanger , P is the number of cold fluid inlets of the heat exchanger of the heat storage module, is the cold fluid inlet flow rate of the heat exchanger of the yth heat storage module, e y,in is the ratio of the cold fluid inlet working medium of the heat exchanger of the yth heat storage module , The steam turbine provides external heat flow, R is the external heat supply of the steam turbine The number of flows, is the heat supply flow rate of the zth steam turbine, e z is the ratio of the zth steam turbine to external heating medium , is the original output power of the thermal power generation module, is the heat release power of the heat storage module.

[0021] In some embodiments, based on the calculation formula of the variable parameters, the undetermined coefficients related to the heat release power of the heat storage module obtained by least squares fitting include:

[0022] Based on the calculation formula of the variable parameters, the undetermined coefficients related to the heat release power of the heat storage module are obtained by least squares fitting, wherein the fitting formula of the least squares method is:

[0023]

[0024] Among them, a1, a2, a3, b1, b2, b3, c 2,1 、c 2,2 ,c3,d 2,1 ,d 2,2 and d 2,3 is the unknown coefficient; r FH is the original load rate of the thermal power generation module; P e is the rated output power of the thermal power generation module, and k is the ratio of the heat release power of the heat storage module to the preset maximum heat release power.

[0025] In some embodiments, under preset constraints, taking the maximum additional power generation objective function of the cogeneration unit under peak output as the optimization target, and based on the undetermined coefficients related to the heat release power, before iteratively correcting the heat release power curve of the heat storage module, the method includes:

[0026] Construct the additional power generation objective function of the cogeneration unit under peak output conditions:

[0027]

[0028] Among them, Q dis is the additional power generation during the peak output period of the CHP unit, T is the total number of time periods during the peak output operation cycle of the CHP unit, It is the output power increase of the cogeneration unit in the nth operating period during the peak output operating cycle, and Δt is the step length of an operating period.

[0029] In some embodiments, under preset constraints, taking the maximum additional power generation objective function of the cogeneration unit under peak output as the optimization target, and based on the undetermined coefficients related to the heat release power, before iteratively correcting the heat release power curve of the heat storage module, the method includes:

[0030] Construct preset constraints to ensure the safe operation of the cogeneration unit, wherein the preset constraints include energy balance constraints of the heat storage module, safe operation range constraints of the heat release power, upper and lower limit constraints of the original load rate of the thermal power generation module, and upper limit constraints of the load rate.

[0031] In some embodiments, the method comprises:

[0032] The energy balance constraint of the thermal storage module is: Among them, k n It is the ratio of the heat storage module's heat release power to the preset maximum heat release power in the nth operating period during the peak output operation cycle of the cogeneration unit. is the preset maximum heat release power of the heat storage module, Q cha is the total heat storage capacity of the heat storage module;

[0033] The heat release power safe operating range is constrained to in, It is the minimum allowable value of the ratio of the heat storage module's heat release power to the preset maximum heat release power in the nth operating period during the peak output operating cycle of the cogeneration unit. It is the maximum permissible value of the ratio of the heat storage module's heat release power to the preset maximum heat release power in the nth operating period within the peak output operating cycle of the cogeneration unit;

[0034] The upper and lower limits of the original load rate of the thermal power generation module are constrained as r FH，min ≤r FH ≤r FH,max , where r FH,min is the minimum original load factor of the thermal power generation module, r FH,max is the maximum value of the original load rate of the thermal power generation module;

[0035] The load rate upper limit constraint is r' FH ≤r' FH,max , where r' FH is the load factor of the thermal power generation module with integrated thermal storage, r' FH，max It is the maximum load factor of the thermal power generation module with integrated heat storage.

[0036] In some embodiments, under preset constraints, taking the maximum additional power generation objective function of the cogeneration unit under peak output as the optimization target, and based on the undetermined coefficients related to the heat release power, iteratively correcting the heat release power curve of the heat storage module includes:

[0037] Under the preset constraints, the optimization goal is to maximize the additional power generation objective function of the cogeneration unit under peak output conditions:

[0038] Based on the undetermined coefficients related to the heat release power, the heat release power curve of the heat storage module is iteratively corrected by a particle swarm algorithm to obtain an optimal heat release power curve.

[0039] In a second aspect, an embodiment of the present application provides an operation coordination system for a cogeneration unit, the system being used to execute the method described in the first aspect above, the system comprising a model building module, a fitting analysis module and a power correction module;

[0040] The model building module is used to build an energy consumption analysis model of a cogeneration unit, wherein the cogeneration unit integrates a heat storage module and a thermal power generation module;

[0041] The fitting analysis module is used to fit the energy efficiency variable curve of the cogeneration unit under typical working conditions through the energy consumption analysis model to obtain the undetermined coefficients related to the heat release power of the heat storage module;

[0042] The power correction module is used to iteratively correct the heat release power curve of the heat storage module based on the undetermined coefficients related to the heat release power, with the maximum additional power generation objective function of the cogeneration unit under peak output as the optimization target under preset constraints.

[0043] Compared with the related art, the embodiment of the present application provides an operation coordination method and system for a cogeneration unit, wherein the method constructs an energy consumption analysis model of the cogeneration unit, wherein a heat storage module and a thermal power generation module are integrated in the cogeneration unit; through the energy consumption analysis model, the energy efficiency variable curve of the cogeneration unit under typical operating conditions is fitted to obtain the undetermined coefficient related to the heat release power of the heat storage module; under preset constraints, the additional power generation objective function of the cogeneration unit under peak output is maximized as the optimization goal, and based on the undetermined coefficient related to the heat release power, the heat release power curve of the heat storage module is iteratively corrected, so as to realize the operation coordination of heat energy and electric energy of the cogeneration unit with integrated heat storage under peak output considering actual constraints, realize the efficient operation of the heat storage module while meeting the peak output of the unit, and obtain the heat release power optimization result that meets the maximum additional power generation under the peak output of the unit, so as to provide practical guidance for the efficient operation of the unit and solve the problem that the power of the existing cogeneration unit is difficult to control. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0045] Figure 1 is a flowchart of the steps of the method for cogeneration unit operation coordination according to an embodiment of the present application;

[0046] Figure 2 is a flow chart of a method for co-generation unit operation coordination according to an embodiment of the present application;

[0047] Figure 3 It is a schematic diagram of the internal structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0049] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.

[0050] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0051] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0052] The present application embodiment provides a method for coordinating the operation of a cogeneration unit. Figure 1 is a flowchart of the steps of the method for cogeneration unit operation coordination according to an embodiment of the present application, such as Figure 1As shown, the method comprises the following steps:

[0053] Step S102, constructing an energy consumption analysis model of a cogeneration unit, wherein a heat storage module and a thermal power generation module are integrated in the cogeneration unit;

[0054] Specifically, step S102 constructs an energy consumption analysis model for the cogeneration unit:

[0055]

[0056] in, It is the increase in the output power of the cogeneration unit during the peak output operation cycle (in kW). It is the steam from the boiler side of the thermal power generation module in the cogeneration unit to the steam turbine. Flow (in kW), It is the heat load return water of the cogeneration unit entering the steam turbine Flow (in kW), It is the additional energy that enters the steam turbine during the peak output operation cycle of the cogeneration unit. Flow (unit kW), η i It is the comprehensive performance of the steam turbine of the cogeneration unit during the peak output operation cycle. Efficiency, η0 is the comprehensive efficiency of the steam turbine of the CHP unit without integrated thermal storage module. Efficiency. Preferably, the steam turbine Efficiency η i Input for the turbine Flow is converted into output heat load Current and electrical load The energy efficiency analysis model assumes that the heat load of the cogeneration unit remains unchanged, that is, the output heat load of the steam turbine Flow and return water The flow remains unchanged.

[0057] It should be noted that during the peak output operation of the cogeneration unit, the heat storage module and the thermal power generation module (such as coal-fired power generation) are coupled on the steam-water side of the boiler. The heat storage module heats the steam-water working medium and improves the internal thermal parameters of the steam turbine to increase the output power of the integrated unit. During the peak output operation of the unit, and under the action of the boiler heat load and the heat storage module heat load, the output power meets the requirements of the external electric load command curve while ensuring the safe operation of the unit.

[0058] The heat of the heat storage process of the heat storage module in the cogeneration unit comes from the heating load of the cogeneration unit after the thermal-electric decoupling transformation. The additional heat storage module can further increase the range of thermal-electric decoupling. For the actual transformation conditions such as the determined thermal-electric decoupling technology, integrated system thermal parameters and electric-heat load demand, it is considered that the total heat storage amount and the maximum design heat exchange power of the heat storage module are all designed. That is, the subsequent power distribution optimization of the cogeneration unit with integrated heat storage within the peak output operation range is carried out under the determined parameters of the heat storage module.

[0059] Step S104, fitting the energy efficiency variable curve of the cogeneration unit under typical working conditions through the energy consumption analysis model to obtain the undetermined coefficient related to the heat release power of the heat storage module;

[0060] Step S104 specifically includes the following steps:

[0061] Step S1041, under the typical operating conditions of the cogeneration unit, determining the calculation formula of the variable parameters in the energy consumption analysis model;

[0062] Specifically, in step S1041, under the typical operating conditions of the cogeneration unit, the calculation formula of the variable parameters in the energy consumption analysis model is determined:

[0063]

[0064] Among them, e is the working fluid flow, h is the specific enthalpy of the working fluid at pressure p and temperature T (unit kJ·kg -1 ), h0 is the specific enthalpy of the turbine working fluid at the reference pressure (0.1 MPa) and reference temperature (293.15 K) (unit: kJ·kg -1 ), T0 is the reference temperature, s is the specific entropy of the working fluid at pressure p and temperature T (unit kJ·kg -1 ·K -1 ), s0 is the specific entropy of the working fluid at ambient pressure and temperature (unit: kJ·kg -1 ·K -1 ), M is the boiler side to the turbine input The number of flows, is the working fluid flow rate from the i-th boiler side to the steam turbine (in kg·s -1 ), e i is the ratio of the working fluid from the i-th boiler side to the working fluid entering the turbine (Unit: kJ·kg -1 ), N is the return water input The number of flows, is the working fluid flow rate of the jth return water (in kg·s -1 ), e j is the ratio of the return of the jth share (Unit: kJ·kg -1 ), It is absorbed by the cold fluid in the heat exchanger of the heat storage module. (Unit: kW), O is the cold fluid outlet of the heat exchanger of the heat storage module The number of flows, is the outlet flow rate of the xth cold fluid of the heat exchanger of the heat storage module (in kg·s -1 ), e x,out is the ratio of the xth cold fluid outlet working fluid of the heat storage module heat exchanger (Unit: kJ·kg -1 ), P is the number of cold fluid inlets of the heat exchanger of the heat storage module, is the cold fluid inlet flow rate of the heat exchanger of the yth heat storage module (in kg·s -1 ), e y,in is the ratio of the cold fluid inlet working medium of the heat exchanger of the yth heat storage module (Unit: kJ·kg -1 ), The steam turbine provides external heat flow (unit kW), R is the external heat supply of the steam turbine The number of flows, is the heat supply flow rate of the zth steam turbine (in kg·s -1 ), e z is the ratio of the zth steam turbine to external heating medium (Unit: kJ·kg -1 ), is the original output power of the thermal power generation module (in kW), is the heat release power of the heat storage module (in kW).

[0065] Step S1042: Based on the calculation formula of the variable parameters, the undetermined coefficients related to the heat release power of the heat storage module are obtained by least square fitting.

[0066] Specifically, step S1042 is to obtain the undetermined coefficients related to the heat release power of the heat storage module by fitting the least square method based on the calculation formula of the variable parameters, wherein the fitting formula of the least square method is:

[0067]

[0068] Among them, a1, a2, a3, b1, b2, b3, c 2,1 、c 2,2 ,c3,d 2,1 ,d 2,2 and d 2,3 is the unknown coefficient; r FH is the original load rate of the thermal power generation module; P eis the rated output power of the thermal power generation module (in kW), and k is the ratio of the heat release power of the heat storage module to the preset maximum heat release power (a dimensionless quantity).

[0069] It should be noted that due to the heat recovery from the heat storage module The additional heat entering the steam turbine during the peak output operation period of the cogeneration unit The flow is roughly equal, so in the above steps S1041 and S1042, in the fitting of the undetermined coefficients of the variable parameters of the energy efficiency analysis model, it is considered that the heat recovered from the heat storage module That is, the additional heat and power unit entering the steam turbine system during the peak output operation cycle flow.

[0070] Step S106, under preset constraints, taking the maximum additional power generation objective function of the cogeneration unit under peak output as the optimization target, and iteratively correcting the heat release power curve of the heat storage module based on the undetermined coefficients related to the heat release power.

[0071] Before step S106, the method includes step S105, and step S105 specifically includes the following steps:

[0072] Step S1051, constructing the additional power generation objective function of the cogeneration unit under peak output conditions:

[0073]

[0074] Among them, Q dis is the additional power generation during the peak output period of the CHP unit, T is the total number of time periods during the peak output operation cycle of the CHP unit, is the output power increase of the cogeneration unit in the nth operating period during the peak output operating cycle, and Δt is the step length of an operating period. Preferably, the operating cycle of the cogeneration unit is divided into T operating steps of duration Δt, and the original load of the unit is constant in each step length.

[0075] Step S1052, constructing preset constraints to ensure safe operation of the cogeneration unit, wherein the preset constraints include energy balance constraints of the heat storage module, safe operation range constraints of the heat release power, upper and lower limit constraints of the original load rate of the thermal power generation module, and upper limit constraints of the load rate.

[0076] In step S1052, specifically, the energy balance constraint of the heat storage module is Among them, k n It is the ratio of the heat storage module's heat release power to the preset maximum heat release power in the nth operating period during the peak output operation cycle of the cogeneration unit. is the preset maximum heat release power of the heat storage module, Qcha is the total heat storage capacity of the heat storage module;

[0077] The safe operating range of heat release power is constrained to in, It is the minimum allowable value of the ratio of the heat storage module's heat release power to the preset maximum heat release power in the nth operating period during the peak output operating cycle of the cogeneration unit. It is the maximum permissible value of the ratio of the heat storage module's heat release power to the preset maximum heat release power in the nth operating period within the peak output operating cycle of the cogeneration unit;

[0078] The upper and lower limits of the original load rate of the thermal power generation module are constrained to r FH，min ≤r FH ≤r FH,max , where r FH,min is the minimum original load factor of the thermal power generation module, r FH,max is the maximum value of the original load rate of the thermal power generation module;

[0079] The upper limit of the load factor is r' FH ≤r' FH,max , where r' FH is the load factor of the thermal power generation module with integrated thermal storage, r' FH，max It is the maximum load factor of the thermal power generation module with integrated heat storage.

[0080] It should be noted that for the above heat release power safe operating range constraints and It is obtained by fitting the safe operating range of the cogeneration unit under all operating conditions. According to the safe operating range of the unit under all operating conditions and the original load rate of the system under the nth operating period, the safe operating range of the heat release power under this operating period is determined.

[0081] Specifically, step S106, under preset constraints, takes the maximum additional power generation objective function of the cogeneration unit under peak output as the optimization goal: based on the undetermined coefficients related to the heat release power, the heat release power curve of the heat storage module is iteratively corrected by the particle swarm algorithm (or other mathematical programming algorithms) to obtain the optimal heat release power curve.

[0082] It should be noted that Figure 2 is a flow chart of a method for cogeneration unit operation coordination according to an embodiment of the present application, such as Figure 2As shown, the goal of this application is to iteratively correct the heat release power curve of the heat storage module to set the heat release power distribution when the cogeneration unit is at peak output and meets the preset constraints to ensure the safe operation of the unit and maximize the additional power generation, so as to reduce the complexity of power regulation of the cogeneration unit while ensuring the accuracy of power regulation, and provide practical guidance for the efficient operation of the unit.

[0083] Through the above steps in the embodiment of the present application, the operation coordination of thermal energy and electric energy of the cogeneration unit with integrated heat storage under the peak output condition is realized considering the actual constraints, the efficient operation of the heat storage module is realized while meeting the peak output of the unit, and the heat release power optimization result that meets the maximum additional power generation under the peak output of the unit is obtained, which provides practical guidance for the efficient operation of the unit and solves the problem of difficult power regulation in the existing cogeneration unit.

[0084] It should be noted that the steps shown in the above process or the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0085] The embodiment of the present application provides an operation coordination system for a cogeneration unit, the system comprising a model building module, a fitting analysis module and a power correction module;

[0086] A model building module is used to build an energy consumption analysis model of a cogeneration unit, wherein a heat storage module and a thermal power generation module are integrated in the cogeneration unit;

[0087] The fitting analysis module is used to fit the energy efficiency variable curve of the cogeneration unit under typical working conditions through the energy consumption analysis model to obtain the undetermined coefficients related to the heat release power of the heat storage module;

[0088] The power correction module is used to iteratively correct the heat release power curve of the heat storage module based on the undetermined coefficients related to the heat release power, with the maximum additional power generation objective function of the cogeneration unit at peak output as the optimization target under preset constraints.

[0089] Through the model building module, fitting analysis module and power correction module in the embodiments of the present application, the operation coordination of thermal energy and electric energy of the cogeneration unit with integrated heat storage under peak output conditions is realized considering actual constraints, and the efficient operation of the heat storage module is achieved while meeting the peak output of the unit, and the heat release power optimization result that meets the maximum additional power generation under the peak output of the unit is obtained, which provides practical guidance for the efficient operation of the unit and solves the problem of difficult power regulation in existing cogeneration units.

[0090] It should be noted that the above modules can be functional modules or program modules, and can be implemented by software or hardware. For modules implemented by hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0091] This embodiment further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0092] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0093] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0094] In addition, in combination with the operation coordination method of the cogeneration unit in the above embodiment, the embodiment of the present application can provide a storage medium for implementation. The storage medium stores a computer program; when the computer program is executed by the processor, any operation coordination method of the cogeneration unit in the above embodiment is implemented.

[0095] In one embodiment, a computer device is provided, which may be a terminal. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for coordinating the operation of a cogeneration unit is implemented. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball, or touchpad provided on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0096] In one embodiment, Figure 3 is a schematic diagram of the internal structure of an electronic device according to an embodiment of the present application, such as Figure 3 As shown, an electronic device is provided, which may be a server, and its internal structure diagram may be as shown in Figure 3As shown. The electronic device includes a processor, a network interface, an internal memory and a non-volatile memory connected through an internal bus, wherein the non-volatile memory stores an operating system, a computer program and a database. The processor is used to provide computing and control capabilities, the network interface is used to communicate with an external terminal through a network connection, the internal memory is used to provide an environment for the operation of the operating system and the computer program, the computer program is executed by the processor to implement an operation coordination method of a cogeneration unit, and the database is used to store data.

[0097] Those skilled in the art will understand that Figure 3 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0098] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0099] Those skilled in the art should understand that the technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0100] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for co-ordinating the operation of a cogeneration unit, characterized in that: The method comprises: Constructing an energy consumption analysis model for a cogeneration unit, wherein the cogeneration unit integrates a heat storage module and a thermal power generation module; By using the energy consumption analysis model, the energy efficiency variable curve of the cogeneration unit under typical working conditions is fitted to obtain the undetermined coefficients related to the heat release power of the heat storage module; Under preset constraints, the additional power generation objective function of the cogeneration unit at peak output is maximized as the optimization goal, and the heat release power curve of the heat storage module is iteratively corrected based on the undetermined coefficients related to the heat release power.

2. The method according to claim 1, characterized in that The energy consumption analysis model of the combined heat and power unit is constructed including: Constructing an energy consumption analysis model for a cogeneration unit: in, It is the increase in the output power of the cogeneration unit during the peak output operation cycle. It is the steam from the boiler side of the thermal power generation module in the cogeneration unit to the steam turbine. flow, It is the heat load return water of the cogeneration unit entering the steam turbine flow, It is the additional energy that enters the steam turbine during the peak output operation cycle of the cogeneration unit. Flow, η i It is the comprehensive performance of the steam turbine of the cogeneration unit during the peak output operation cycle. Efficiency, η0 is the comprehensive efficiency of the steam turbine of the CHP unit without integrated thermal storage module. efficiency.

3. The method according to claim 1, characterized in that By using the energy consumption analysis model, the energy efficiency variable curve of the cogeneration unit under typical working conditions is fitted to obtain the undetermined coefficients related to the heat release power of the heat storage module, including: Under the typical operating conditions of the cogeneration unit, determining the calculation formula of the variable parameters in the energy consumption analysis model; Based on the calculation formula of the variable parameters, the undetermined coefficients related to the heat release power of the heat storage module are obtained by least square fitting.

4. The method according to claim 3, characterized in that Under the typical operating conditions of the cogeneration unit, the calculation formula for determining the variable parameters in the energy consumption analysis model includes: Under the typical operating conditions of the cogeneration unit, the calculation formula for the variable parameters in the energy consumption analysis model is determined as follows: Among them, e is the working fluid flow, h is the specific enthalpy of the working fluid at pressure p and temperature T, h0 is the specific enthalpy of the turbine working fluid at reference pressure and reference temperature, T0 is the reference temperature, s is the specific entropy of the working fluid at pressure p and temperature T, s0 is the specific entropy of the working fluid at ambient pressure and temperature, M is the input from the boiler to the turbine The number of flows, is the working fluid flow rate from the i-th boiler side to the steam turbine, e i is the ratio of the working fluid from the i-th boiler side to the working fluid entering the turbine N is the return water input The number of flows, is the working fluid flow rate of the jth return water, e j is the ratio of the return of the jth share It is absorbed by the cold fluid in the heat exchanger of the heat storage module O is the cold fluid outlet of the heat exchanger of the heat storage module The number of flows, is the outlet flow rate of the xth cold fluid of the heat exchanger of the heat storage module, e x,out is the ratio of the xth cold fluid outlet working fluid of the heat storage module heat exchanger P is the number of cold fluid inlets of the heat exchanger of the heat storage module, is the cold fluid inlet flow rate of the heat exchanger of the yth heat storage module, e y,in is the ratio of the cold fluid inlet working fluid of the heat exchanger of the yth heat storage module The steam turbine provides external heat flow, R is the external heat supply of the steam turbine The number of flows, is the heat supply flow rate of the zth steam turbine, e z is the ratio of the zth steam turbine to external heating medium is the original output power of the thermal power generation module, is the heat release power of the heat storage module.

5. The method according to claim 3, characterized in that: Based on the calculation formula of the variable parameters, the undetermined coefficients related to the heat release power of the heat storage module obtained by least squares fitting include: Based on the calculation formula of the variable parameters, the undetermined coefficients related to the heat release power of the heat storage module are obtained by least squares fitting, wherein the fitting formula of the least squares method is: Among them, a1, a2, a3, b1, b2, b3, c 2,1 、c 2,2 ,c3,d 2,1 d 2,2 and d 2,3 is the unknown coefficient; r FH is the original load rate of the thermal power generation module; P e is the rated output power of the thermal power generation module, and k is the ratio of the heat release power of the heat storage module to the preset maximum heat release power.

6. The method according to claim 1, characterized in that Under preset constraints, taking the maximum additional power generation objective function of the cogeneration unit under peak output as the optimization target, and based on the undetermined coefficients related to the heat release power, before iteratively correcting the heat release power curve of the heat storage module, the method includes: Construct the additional power generation objective function of the cogeneration unit under peak output conditions: Among them, Q dis is the additional power generation during the peak output period of the CHP unit, T is the total number of time periods during the peak output operation cycle of the CHP unit, It is the output power increase of the cogeneration unit in the nth operating period during the peak output operating cycle, and Δt is the step length of an operating period.

7. The method according to claim 1, characterized in that Under preset constraints, taking the maximum additional power generation objective function of the cogeneration unit under peak output as the optimization target, and based on the undetermined coefficients related to the heat release power, before iteratively correcting the heat release power curve of the heat storage module, the method includes: Construct preset constraints to ensure the safe operation of the cogeneration unit, wherein the preset constraints include energy balance constraints of the heat storage module, safe operation range constraints of the heat release power, upper and lower limit constraints of the original load rate of the thermal power generation module, and upper limit constraints of the load rate.

8. The method according to claim 7, characterized in that The method comprises: The energy balance constraint of the thermal storage module is: Among them, k n It is the ratio of the heat storage module's heat release power to the preset maximum heat release power in the nth operating period during the peak output operation cycle of the cogeneration unit. is the preset maximum heat release power of the heat storage module, Q cha is the total heat storage capacity of the heat storage module; The heat release power safe operating range is constrained to in, It is the minimum allowable value of the ratio of the heat storage module's heat release power to the preset maximum heat release power in the nth operating period during the peak output operating cycle of the cogeneration unit. It is the maximum permissible value of the ratio of the heat storage module's heat release power to the preset maximum heat release power in the nth operating period within the peak output operating cycle of the cogeneration unit; The upper and lower limits of the original load rate of the thermal power generation module are constrained as r FH , m in ≤r FH ≤r FH,max , where r FH,min is the minimum original load factor of the thermal power generation module, r FH,max is the maximum value of the original load rate of the thermal power generation module; The load rate upper limit constraint is r' FH ≤r' FH,max , where r' FH is the load factor of the thermal power generation module with integrated thermal storage, r' FH，max It is the maximum load factor of the thermal power generation module with integrated heat storage.

9. The method according to claim 1, characterized in that: Under preset constraints, taking the maximum additional power generation objective function of the cogeneration unit under peak output as the optimization target, and based on the undetermined coefficients related to the heat release power, iteratively correcting the heat release power curve of the heat storage module includes: Under the preset constraints, the optimization goal is to maximize the additional power generation objective function of the cogeneration unit under peak output: Based on the undetermined coefficients related to the heat release power, the heat release power curve of the heat storage module is iteratively corrected by a particle swarm algorithm to obtain an optimal heat release power curve.

10. An operation coordination system for a cogeneration unit, characterized in that: The system is used to perform the method according to any one of claims 1 to 9, and the system comprises a model building module, a fitting analysis module and a power correction module; The model building module is used to build an energy consumption analysis model of a cogeneration unit, wherein the cogeneration unit integrates a heat storage module and a thermal power generation module; The fitting analysis module is used to fit the energy efficiency variable curve of the cogeneration unit under typical working conditions through the energy consumption analysis model to obtain the undetermined coefficients related to the heat release power of the heat storage module; The power correction module is used to iteratively correct the heat release power curve of the heat storage module based on the undetermined coefficients related to the heat release power, with the maximum additional power generation objective function of the cogeneration unit under peak output as the optimization target under preset constraints.

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