A method and system for operation of a cogeneration unit

Abstract

The application relates to a cogeneration unit operation overall arrangement method and system, wherein the method comprises the following steps: constructing an energy consumption analysis model of a cogeneration unit integrating a heat storage module and a thermal power generation module; fitting an energy efficiency variable curve of the cogeneration unit under typical working conditions through the energy consumption analysis model to obtain a to-be-determined coefficient related to heat release power of the heat storage module; under preset constraint conditions, taking a maximum extra power generation amount target function of the cogeneration unit under peak power as an optimization target, and based on the to-be-determined coefficient related to the heat release power, iteratively correcting a heat release power curve of the heat storage module. Through the application, efficient operation of the heat storage module is realized while meeting the peak power of the unit, an optimized heat release power result meeting the maximum extra power generation amount under the peak power of the unit is obtained, practical guidance for efficient operation of the unit is provided, and the problem that power of an existing cogeneration unit is difficult to control is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of combined heat and power generation, and in particular to a combined heat and power generation unit operation planning method and system. BACKGROUND

[0002] Due to the volatility of renewable energy generation, the consumption of renewable energy generation has become an important challenge in the field of energy and power. In order to achieve the goal of higher proportion of renewable energy generation into the grid, while meeting the increasing demand for heat load, the flexibility of combined heat and power generation units should be fully tapped. The heat and electricity decoupling technologies such as low-pressure cylinder zero output and electric boiler can enhance the peak shaving capacity of combined heat and power generation units and further increase their flexibility. However, most of the heat and electricity decoupling technologies increase the heat load capacity by reducing the electric load, and the upward peak capacity of the unit is limited.

[0003] Introducing a heat storage system instead of a regenerative system can improve the peak capacity of the combined heat and power generation unit and broaden the operation range and control strategy of the electric and heat load to cope with complex electric and heat load demand. However, during the peak process, various parameters of the integrated system change under different working conditions, making the process of calculating the increase in output power complex, so that it is difficult to determine the appropriate heat release power.

[0004] At present, there is no effective solution to the problem that the power of the existing combined heat and power generation unit in the related art is difficult to control. SUMMARY

[0005] The embodiments of the present application provide a combined heat and power generation unit operation planning method and system to at least solve the problem that the power of the existing combined heat and power generation unit in the related art is difficult to control.

[0006] In a first aspect, the embodiments of the present application provide a combined heat and power generation unit operation planning method, which comprises:

[0007] constructing an energy consumption analysis model of a combined heat and power generation unit, wherein the combined heat and power generation unit integrates a heat storage module and a thermal power generation module;

[0008] fitting an energy efficiency variable curve of the combined heat and power generation unit under a typical working condition by the energy consumption analysis model to obtain a to-be-determined coefficient related to a heat release power of the heat storage module;

[0009] under a preset constraint condition, taking a maximum of an additional power generation amount objective function of the combined heat and power generation unit under peak output as an optimization target, and iteratively correcting a heat release power curve of the heat storage module based on the to-be-determined coefficient related to the heat release power.

[0010] In some embodiments, constructing an energy consumption analysis model of a combined heat and power generation unit comprises:

[0011] Constructing an energy consumption analysis model for combined heat and power units:

[0012]

[0013] in, It is the increase in output electrical power of a combined heat and power unit during its peak output operating cycle. It is the steam entering the turbine from the boiler side of the thermal power generation module in a combined heat and power unit. flow, The return water from the heat load of the combined heat and power unit enters the steam turbine. flow, It is the additional steam entering the turbine during the peak output operating cycle of a combined heat and power unit. Flow, η i It is the comprehensive power generation of the steam turbine during the peak output operation cycle of the combined heat and power unit. Efficiency, η0 is the turbine comprehensive efficiency of a cogeneration unit without integrated thermal storage modules. efficiency.

[0014] In some embodiments, the energy efficiency variable curve of the combined heat and power unit under typical operating conditions is fitted using the energy consumption analysis model to obtain undetermined coefficients related to the heat release power of the thermal storage module, including:

[0015] Under typical operating conditions of the combined heat and power unit, determine the calculation formulas for 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 thermal storage module are obtained by fitting using the least squares method.

[0017] In some embodiments, under typical operating conditions of the combined heat and power unit, the calculation formulas for determining the variable parameters in the energy consumption analysis model include:

[0018] Under typical operating conditions of the combined heat and power unit, the calculation formulas for the variable parameters in the energy consumption analysis model are determined as follows:

[0019]

[0020] Where 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 flow rate from the boiler side to the turbine input. The number of streams, e is the working fluid flow rate from the i-th boiler side to the turbine. iis the ratio of the i-th boiler side to the entering steam turbine working medium , N is the number of backwater input streams, is the working medium flow rate of the j-th backwater, e j is the ratio of the j-th backwater , is the heat absorbed by the cold fluid of the heat storage module heat exchanger , O is the number of cold fluid outlet streams of the heat storage module heat exchanger, is the working medium flow rate of the x-th cold fluid outlet of the heat storage module heat exchanger, e x,out is the ratio of the working medium of the x-th cold fluid outlet of the heat storage module heat exchanger , P is the number of cold fluid inlets of the heat storage module heat exchanger, is the working medium flow rate of the y-th cold fluid inlet of the heat storage module heat exchanger, e y,in is the ratio of the working medium of the y-th cold fluid inlet of the heat storage module heat exchanger , is the steam turbine external heating stream, R is the number of steam turbine external heating streams, is the working medium flow rate of the z-th steam turbine external heating, e z is the ratio of the working medium of the z-th steam turbine external heating , is the original output electric power of the thermal power generation module, is the heat release power of the heat storage module.

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

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

[0023]

[0024] wherein a1, a2, a3, b1, b2, b3, c 2,1 , c 2,2 , c3, d 2,1 , d 2,2 and d 2,3 are undetermined coefficients; r FH is the original load rate of the thermal power generation module; P e is the rated output electric 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, before iteratively correcting the heat release power curve of the heat storage module based on the undetermined coefficients related to the heat release power, the method comprises:

[0026] constructing an additional power generation amount objective function of the cogeneration unit under peak load conditions, wherein the additional power generation amount objective function is maximized as an optimization objective under preset constraint conditions.

[0027]

[0028] wherein Q dis is the additional power generation amount of the cogeneration unit during the peak load period, T is the total number of time periods in the peak load operation period of the cogeneration unit, is the output power increase of the cogeneration unit during the nth operation period in the peak load operation period, and Δt is the step size of an operation period.

[0029] In some embodiments, before iteratively correcting the heat release power curve of the heat storage module based on the undetermined coefficients related to the heat release power, the method comprises:

[0030] constructing a preset constraint condition for ensuring safe operation of the cogeneration unit, wherein the preset constraint condition comprises a heat storage module energy balance constraint, a heat release power safe operation range constraint, a raw load rate upper and lower limit constraint of the thermal power generation module, and a load rate upper limit constraint.

[0031] In some embodiments, the method comprises:

[0032] the heat storage module energy balance constraint is wherein k n is the ratio of the heat release power of the heat storage module to the preset maximum heat release power in the nth operation period in the peak load operation period of the cogeneration unit, is the preset maximum heat release power of the heat storage module, and Q cha is the total heat storage amount of the heat storage module.

[0033] the heat release power safe operation range constraint is wherein is the minimum allowable value of the ratio of the heat release power of the heat storage module to the preset maximum heat release power in the nth operation period in the peak load operation period of the cogeneration unit, is the maximum allowable value of the ratio of the heat release power of the heat storage module to the preset maximum heat release power in the nth operation period in the peak load operation period of the cogeneration unit.

[0034] The upper limit constraint of the original load rate of the thermal power generation module is r FH，min ≤r FH ≤r FH,max , wherein r FH,min is the minimum value of the original load rate of the thermal power generation module, and r FH,max is the maximum value of the original load rate of the thermal power generation module.

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

[0036] In some embodiments, under preset constraints, the optimization target is to maximize the additional power generation amount target function of the combined heat and power unit under peak output conditions, 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.

[0037] Under preset constraints, the optimization target is to maximize the additional power generation amount target function of the combined heat and power unit under peak output conditions.

[0038] Based on the undetermined coefficient 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, the embodiments of the present application provide a running overall system of a combined heat and power unit, which is used to execute the method of the first aspect, and the system comprises a model construction module, a fitting analysis module, and a power correction module.

[0040] The model construction module is configured to construct an energy consumption analysis model of the combined heat and power unit, wherein the combined heat and power unit is integrated with a heat storage module and a thermal power generation module.

[0041] The fitting analysis module is configured to fit an energy efficiency variable curve of the combined heat and power unit under typical working conditions by using the energy consumption analysis model, so as to obtain an undetermined coefficient related to the heat release power of the heat storage module.

[0042] The power correction module is configured to, under preset constraints, maximize the additional power generation amount target function of the combined heat and power unit under peak output conditions as an optimization target, and iteratively correct the heat release power curve of the heat storage module based on the undetermined coefficient related to the heat release power.

[0043] Compared with the related art, the method and system for operation planning of a combined heat and power unit provided by the embodiments of the present application, wherein the method comprises the following steps: constructing an energy consumption analysis model of the combined heat and power unit, wherein the combined heat and power unit is integrated with a heat storage module and a thermal power generation module; fitting an energy efficiency variable curve of the combined heat and power unit under a typical working condition by the energy consumption analysis model, to obtain a to-be-determined coefficient related to a heat release power of the heat storage module; and under a preset constraint condition, taking a maximum extra power generation amount of the combined heat and power unit under a peak power output as an optimization target, and based on the to-be-determined coefficient related to the heat release power, iteratively correcting a heat release power curve of the heat storage module, so as to realize operation planning of the combined heat and power unit integrated with the heat storage module under the peak power output condition, considering the actual constraint condition, and realize efficient operation of the heat storage module while meeting the peak power output of the unit, to obtain an optimized heat release power result under the peak power output of the unit, which meets the maximum extra power generation amount, and provide a feasible guidance for efficient operation of the unit, and solve the problem that the existing combined heat and power unit has difficulty in power regulation. BRIEF DESCRIPTION OF DRAWINGS

[0044] The accompanying drawings, which are included to provide a further understanding of the present application, constitute a part of the present application and illustrate embodiments of the present application and the description thereof, and do not constitute an improper limitation to the present application. In the drawings:

[0045] Figure 1 is a step flow chart of a method for operation planning of a combined heat and power unit according to an embodiment of the present application;

[0046] Figure 2 is a flow chart of a method for operation planning of a combined heat and power unit according to an embodiment of the present application;

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

[0048] In order to make the objectives, technical solutions and advantages of the present application more apparent, the present application is described and explained in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and do not limit the present application. Based on the embodiments provided by the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of the present application.

[0049] It is apparent that the drawings in the following description merely show some examples or embodiments of the present application, and for those skilled in the art, the present application can be applied to other similar situations without creative labor based on these drawings. In addition, it can be understood that although the efforts made in this development process can be complex and lengthy, some design, manufacture or production changes based on the technical content disclosed in the present application are only routine technical means for those skilled in the art related to the disclosure of the present application, and should not be understood as insufficient disclosure of the present application.

[0050] In the present application, "embodiment" means that the specific features, structures or properties described in conjunction with the embodiment can be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment to other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described in the present application can be combined with other embodiments without conflict.

[0051] Unless otherwise defined, the technical terms or scientific terms involved in the present application should be understood as the usual meaning understood by those skilled in the art in the technical field to which the present application belongs. The "one", "a", "an", "the" and similar words involved in the present application do not represent quantity limitation, but can represent singular or plural. The terms "include", "contain", "have" and any variations thereof involved in the present application are intended to cover non-exclusive inclusion; for example, a process, method, system, product or device including a series of steps or modules (units) is not limited to the listed steps or units, but can also include steps or units not listed, or can also include other steps or units inherent to the process, method, product or device. The words "connected", "connected", "coupled" and similar words involved in the present application are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Multiple" refers to two or more. The association between the associated objects described by "and / or" can represent three relationships, for example, "A and / or B" can represent three cases: A alone, A and B together, and B alone. The character " / " generally represents an "or" relationship between the associated objects. The terms "first", "second", "third" and the like involved in the present application are only to distinguish similar objects, and do not represent a specific order for the objects.

[0052] The embodiment of the present application provides a method for operation of a combined heat and power unit, Figure 1 is a step flow chart of the method for operation of the combined heat and power unit according to the embodiment of the present application, like Figure 1As shown, the method includes the following steps:

[0053] Step S102: Construct an energy consumption analysis model for a combined heat and power (CHP) unit, wherein the CHP unit integrates a thermal storage module and a thermal power generation module.

[0054] Specifically, step S102 involves constructing an energy consumption analysis model for the combined heat and power (CHP) unit:

[0055]

[0056] in, It is the increase in output electrical power (in kW) of a combined heat and power unit during its peak output operating cycle. It is the steam entering the turbine from the boiler side of the thermal power generation module in a combined heat and power unit. Flow (unit: kW) The return water from the heat load of the combined heat and power unit enters the steam turbine. Flow (unit: kW) It is the additional steam entering the turbine during the peak output operating cycle of a combined heat and power unit. Flow (unit: kW), η i It is the comprehensive power generation of the steam turbine during the peak output operation cycle of the combined heat and power unit. Efficiency, η0 is the turbine comprehensive efficiency of a cogeneration unit without integrated thermal storage modules. Efficiency. Preferably, the steam turbine overall efficiency. Efficiency η i For steam turbine input Flow transformation into output heat load Current and electrical load The share of flow. The energy efficiency analysis model assumes that the heat load of the cogeneration unit remains constant, that is, the output heat load of the turbine. Flow and return water The flow rate remains constant.

[0057] It should be noted that during peak output operation of a combined heat and power (CHP) unit, the thermal storage module is coupled to the thermal power generation module (such as a coal-fired power plant) on the boiler steam-water side. The thermal storage module increases the output power of the integrated unit by heating the steam-water working fluid, thereby improving the internal thermodynamic parameters of the turbine. During peak output operation, and under the influence of boiler heat load and thermal storage module heat load, the output power meets the requirements of the external electrical load command curve while ensuring the safe operation of the unit.

[0058] The heat stored in the thermal storage modules of a combined heat and power (CHP) unit originates from the heating load of the CHP unit after the CHP unit undergoes CHP decoupling retrofit. Adding additional thermal storage modules can further expand the scope of CHP decoupling. Given the established CHP decoupling technology, integrated system thermodynamic parameters, and electrothermal load requirements, it is assumed that parameters such as the total thermal storage capacity and maximum design heat exchange power of the thermal storage modules have been designed. This means that subsequent power distribution optimization of the CHP unit with integrated thermal storage within its peak output operating range is conducted under the determined thermal storage module parameters.

[0059] Step S104: By using the energy consumption analysis model, fit the energy efficiency variable curve of the cogeneration unit under typical operating conditions to obtain the undetermined coefficients related to the heat release power of the thermal storage module.

[0060] Step S104 specifically includes the following steps:

[0061] Step S1041: Under typical operating conditions of a cogeneration unit, determine the calculation formulas for the variable parameters in the energy consumption analysis model;

[0062] Specifically, in step S1041, under typical operating conditions of a combined heat and power unit, the calculation formulas for the variable parameters in the energy consumption analysis model are determined:

[0063]

[0064] Where 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 (unit: kJ·kg⁻¹) of the turbine working fluid at a reference pressure (0.1 MPa) and a reference temperature (293.15 K). -1 T0 is the reference temperature, and 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 under ambient pressure and temperature (unit: kJ·kg). -1 ·K -1 M is the boiler-side input to the turbine. The number of streams, It is the flow rate of the working fluid from the i-th boiler side to the turbine (unit: kg·s). -1 ), e i It is the ratio of 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 streams, The working fluid flow rate of the j-th return water (unit: kg·s) -1 ), e j It is the ratio of the jth return. (unit kJ·kg -1 ), is the heat absorption of the cold fluid of the heat storage module heat exchanger (unit kW), O is the outlet flow of the cold fluid of the heat storage module heat exchanger , the number of flows, is the outlet working medium flow of the xth cold fluid of the heat storage module heat exchanger (unit kg·s -1 ), e x,out is the specific heat of the outlet working medium of the xth cold fluid of the heat storage module heat exchanger (unit kJ·kg -1 ), P is the number of cold fluid inlets of the heat storage module heat exchanger, is the inlet working medium flow of the yth heat storage module heat exchanger (unit kg·s -1 ), e y,in is the specific heat of the inlet working medium of the yth heat storage module heat exchanger (unit kJ·kg -1 ), is the external heating flow of the steam turbine (unit kW), R is the number of external heating flows of the steam turbine , is the zth external heating working medium flow of the steam turbine (unit kg·s -1 ), e z is the specific heat of the zth external heating working medium of the steam turbine (unit kJ·kg -1 ), is the original output electric power of the thermal power generation module (unit kW), is the heat release power of the heat storage module (unit kW).

[0065] Step S1042, based on the calculation formula of the variable parameter, the undetermined coefficient related to the heat release power of the heat storage module is obtained by least square fitting.

[0066] Step S1042, based on the calculation formula of the variable parameter, the undetermined coefficient related to the heat release power of the heat storage module is obtained by least square fitting.

[0067]

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

[0069] It should be noted that the heat is obtained from the thermal recovery module. The additional steam entering the turbine during the peak output operating cycle of the combined heat and power unit. Since the flow rates are approximately equal, in the undetermined coefficient fitting of the variable parameters based on the energy efficiency analysis model in steps S1041 and S1042 above, it is assumed that the heat recovered from the thermal storage module is the same as that obtained from the thermal recovery. This refers to the additional steam entering the turbine system during the peak output operating cycle of a combined heat and power (CHP) unit. flow.

[0070] Step S106: Under preset constraints, with the objective function of maximizing the additional power generation of the cogeneration unit at peak output as the optimization objective, the heat release power curve of the thermal storage module is iteratively corrected based on the undetermined coefficients related to the heat release power.

[0071] Prior to step S106, the method includes step S105, which specifically includes the following steps:

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

[0073]

[0074] Among them, Q dis This refers to the additional power generation during peak output periods of the combined heat and power (CHP) unit, where T is the total number of periods within the peak output operating cycle of the CHP unit. It represents the increase in output power of the cogeneration unit during the nth operating segment within its peak output operating cycle, where Δt is the step size of one operating segment. Preferably, the operating cycle of the cogeneration unit is divided into T operating steps of length Δt, with a fixed initial load for each step.

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

[0076] Specifically, in step S1052, the energy balance constraint of the thermal storage module is as follows: Where, k n It is the ratio of the heat release power of the thermal storage module to the preset maximum heat release power during the nth operating segment within the peak output operating cycle of the combined heat and power unit. Q is the preset maximum heat release power of the thermal storage module.cha is the total heat storage amount of the heat storage module;

[0077] The exothermic power safe operation range constraint is wherein, is the minimum allowable value of the ratio of the exothermic power of the heat storage module to the preset maximum exothermic power in the nth operation period within the peak output operation period of the cogeneration unit, is the maximum allowable value of the ratio of the exothermic power of the heat storage module to the preset maximum exothermic power in the nth operation period within the peak output operation period of the cogeneration unit;

[0078] The upper and lower limits of the original load rate of the thermal power generation module are r FH，min ≤r FH ≤r FH,max , wherein r FH,min is the minimum value of the original load rate of the thermal power generation module, and 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 rate is r' FH ≤r' FH,max , wherein r' FH is the load rate of the integrated heat storage thermal power generation module, and r' FH，max is the maximum value of the load rate of the integrated heat storage thermal power generation module.

[0080] It should be noted that, for the exothermic power safe operation range constraint and are obtained by fitting the safe operation interval of the cogeneration unit under all working conditions. According to the safe operation interval of the unit under all working conditions and the original load rate of the system under the nth operation period, the exothermic power safe operation interval under the operation period is determined

[0081] Specifically, in step S106, under the preset constraint condition, the maximum additional power generation amount target function of the cogeneration unit under the peak output condition is taken as the optimization target: based on the undetermined coefficient related to the exothermic power, the exothermic power curve of the heat storage module is corrected by the particle swarm algorithm (which can also be other mathematical programming algorithms) to obtain the optimal exothermic power curve.

[0082] It should be noted that, Figure 2 is a flowchart of the cogeneration unit operation planning method according to an embodiment of the present application, as shown in Figure 2As shown, the target of the present application is to set the heat release power distribution by iteratively correcting the heat release power curve of the heat storage module under the condition that the cogeneration unit is in peak output and the preset constraint conditions for ensuring safe operation of the unit and the maximum additional power generation are met, so as to reduce the complexity of power regulation of the cogeneration unit and ensure the accuracy of power regulation, thereby providing feasible guidance for efficient operation of the unit.

[0083] Through the above steps in the embodiments of the present application, the heat energy-electricity operation overall planning of the cogeneration unit integrated with heat storage under the condition of peak output is realized considering the actual constraint conditions, the efficient operation of the heat storage module is realized while meeting the peak output of the unit, the heat release power optimization result meeting the maximum additional power generation under the peak output of the unit is obtained, feasible guidance is provided for efficient operation of the unit, and the problem of difficult power regulation of the existing cogeneration unit is solved.

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

[0085] The embodiments of the present application provide a running overall planning system of a cogeneration unit, which comprises a model construction module, a fitting analysis module and a power correction module.

[0086] The model construction module is used to construct an energy consumption analysis model of the cogeneration unit, wherein the cogeneration unit is integrated with a heat storage module and a thermal power generation module.

[0087] The fitting analysis module is used to fit the energy efficiency variable curve of the cogeneration unit under a typical working condition through the energy consumption analysis model, so as to obtain the undetermined coefficient 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 under the condition that the preset constraint conditions are met, with the maximum additional power generation target function of the cogeneration unit under the condition of peak output as the optimization target, and based on the undetermined coefficient related to the heat release power.

[0089] Through the model construction module, the fitting analysis module and the power correction module in the embodiments of the present application, the heat energy-electricity operation overall planning of the cogeneration unit integrated with heat storage under the condition of peak output is realized considering the actual constraint conditions, the efficient operation of the heat storage module is realized while meeting the peak output of the unit, the heat release power optimization result meeting the maximum additional power generation under the peak output of the unit is obtained, feasible guidance is provided for efficient operation of the unit, and the problem of difficult power regulation of the existing cogeneration unit is solved.

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

[0091] The embodiment also provides an electronic device including a memory and a processor, the memory storing a computer program, and the processor being configured to execute the computer program to perform the steps in any of the method embodiments.

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

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

[0094] In addition, in combination with the operation planning method of the combined heat and power unit in the above embodiment, the embodiment can provide a storage medium for implementation. The storage medium stores a computer program; the computer program is executed by a processor to implement any of the operation planning methods of the combined heat and power unit in the above embodiments.

[0095] In one embodiment, a computer device is provided, which can be a terminal. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through 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 operating system and the computer program in the non-volatile storage medium to run. The network interface of the computer device is used to communicate with external terminals through network connection. The computer program is executed by the processor to implement an operation planning method of a combined heat and power unit. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell 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, as Figure 3 shown, an electronic device is provided, which can be a server, and the internal structure diagram of the electronic device can be as Figure 3As shown in the figure. 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 external terminals through 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 a method for overall planning the operation of a combined heat and power unit, and the database is used to store data.

[0097] Those skilled in the art can understand that Figure 3 The skilled in the art can understand that the structure shown in the figure is only a block diagram of part of the 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 can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0098] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware. 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 above-mentioned embodiments. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), 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) and the like.

[0099] Those skilled in the art should understand that any combination of the technical features of the above-mentioned embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above-mentioned embodiments are not described, however, as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application.

[0100] The above-described embodiments are merely illustrative of several embodiments of the present application, which are described in more detail and in a specific and detailed manner, but should not be construed as limiting the scope of the patent. It should be noted that for those skilled in the art, several modifications and improvements can be made without departing from the concept of the present application, and these are all within the scope of the present application. Therefore, the scope of protection of the patent of the present application should be subject to the appended claims.

Claims

1. A method of operation of a cogeneration unit, characterized in that, The method comprises: constructing an energy consumption analysis model of a combined heat and power unit; wherein, is the increase of the output electric power of the cogeneration unit in the peak load operation period, is the steam flow of the boiler side of the thermal power module in the cogeneration unit entering into the steam turbine, is the heat load return water of the cogeneration unit entering into the steam turbine, is the additional steam flow of the cogeneration unit in the peak load operation period entering into the steam turbine, is the comprehensive steam efficiency of the steam turbine of the cogeneration unit in the peak load operation period, is the comprehensive steam efficiency of the steam turbine of the cogeneration unit without integrating the heat storage module, the cogeneration unit integrating the heat storage module and the thermal power module; fitting, through the energy consumption analysis model, an energy efficiency variable curve of the combined heat and power unit under typical working conditions, to obtain undetermined coefficients related to heat release power of the heat storage module; under preset constraint conditions, taking a maximum of an extra power generation amount objective function of the combined heat and power unit under peak output as an optimization target, and based on the undetermined coefficients related to the heat release power, iteratively correcting a heat release power curve of the heat storage module.

2. The method of claim 1, wherein, Fitting, through the energy consumption analysis model, an energy efficiency variable curve of the combined heat and power unit under typical working conditions, to obtain undetermined coefficients related to heat release power of the heat storage module comprises: under the typical working conditions of the combined heat and power unit, determining a calculation formula of a variable parameter in the energy consumption analysis model; based on the calculation formula of the variable parameter, fitting, by a least square method, the undetermined coefficients related to the heat release power of the heat storage module.

3. The method of claim 2, wherein, Under the typical working conditions of the combined heat and power unit, determining a calculation formula of a variable parameter in the energy consumption analysis model comprises: under the typical working conditions of the combined heat and power unit, determining a calculation formula of a variable parameter in the energy consumption analysis model; in, e It is a working fluid flow. h The working fluid is under pressure p With temperature T Enthalpy below h 0 is the specific enthalpy of the turbine working fluid at the reference pressure and reference temperature. T 0 is the reference temperature. s The working fluid is under pressure p With temperature T The specific entropy below, s 0 is the specific entropy of the working fluid under ambient pressure and temperature. M It is the number of streams from the boiler side to the turbine input. It is the first i The flow rate of the working fluid from the boiler side to the turbine. e i It is the first i The ratio of the boiler side to the working fluid entering the turbine. N It is the number of return water input streams. It is the first j The flow rate of the working fluid in the return water stream, It is the ratio of the jth return flow. It is the cold fluid absorbed by the heat exchanger of the thermal storage module. O It refers to the number of cold fluid outlets in the heat exchanger of the thermal storage module. It is the first heat exchanger of the thermal storage module. x The working fluid flow rate at the outlet of the cold fluid stream, e x,out It is the first heat exchanger of the thermal storage module. x The ratio of the working fluid at the outlet of the cold fluid, P This refers to the number of inlets for the cold fluid in the heat exchanger of the thermal storage module. It is the first y The cold fluid inlet working fluid flow rate of each thermal storage module heat exchanger e y,in It is the first y The ratio of the cold fluid inlet working fluid of each thermal storage module heat exchanger It is the steam turbine that supplies heat to the outside. R It refers to the number of heat streams supplied by the steam turbine. It is the first z The flow rate of the heat supply medium from each steam turbine is [not specified]. e z It is the first z The ratio of the heat supply medium for each steam turbine to the external heat supply is 㶲. This is the original output power of the thermal power generation module. It is the heat release power of the thermal storage module. r FH This represents the original load factor of the thermal power generation module. P e is the rated output electric power of the thermal power generation module, is the preset maximum heat release power of the heat storage module.

4. The method of claim 2, wherein, based on the calculation formula of the variable parameter, fitting, by a least square method, the undetermined coefficients related to the heat release power of the heat storage module comprises: based on the calculation formula of the variable parameter, fitting, by a least square method, the undetermined coefficients related to the heat release power of the heat storage module, wherein a fitting formula of the least square method is: wherein, a 1、 a 2、 a 3、 b 1、 b 2、 b 3、 c 2,1 、 c 2,2 、 c 3、 d 2,1 、 d 2,2 and d 2,3 is a pending coefficient; r FH is an original load rate of the thermal power generation module; P e is a rated output electric power of the thermal power generation module, k is a ratio of the heat release power of the heat storage module to the preset maximum heat release power.

5. The method of claim 1, wherein, Before taking, under preset constraint conditions, a maximum of an extra power generation amount objective function of the combined heat and power unit under peak output as an optimization target, and based on the undetermined coefficients related to the heat release power, iteratively correcting a heat release power curve of the heat storage module, the method comprises: constructing an extra power generation amount objective function of the combined heat and power unit under peak output; wherein, Q dis is the additional power generation amount of the combined heat and power unit during the peak output period, T is the total number of periods in the peak output operation cycle of the combined heat and power unit, is the output power increase amount of the combined heat and power unit during the nth operation period in the peak output operation cycle, and t is a step length of an operation period.

6. The method of claim 1, wherein, Before taking, under preset constraint conditions, a maximum of an extra power generation amount objective function of the combined heat and power unit under peak output as an optimization target, and based on the undetermined coefficients related to the heat release power, iteratively correcting a heat release power curve of the heat storage module, the method comprises: constructing preset constraint conditions for ensuring safe operation of the combined heat and power unit, wherein the preset constraint conditions comprise a heat storage module energy balance constraint, a heat release power safe operation range constraint, a raw load rate upper and lower limit constraint of a thermal power generation module, and a load rate upper limit constraint.

7. The method of claim 6, wherein, The method comprises: The energy balance constraint of the heat storage module is wherein, k n is the total heat storage capacity of the heat storage module, n is the ratio of the heat release power of the heat storage module in the operation period to the preset maximum heat release power, is the preset maximum heat release power of the heat storage module, is the total heat storage capacity of the heat storage module; The exothermic power safe operation range constraint is wherein, is the exothermic power of the heat storage module in the i th operation period in the peak output operation cycle of the combined heat and power unit, n is the minimum allowable value of the ratio of the exothermic power of the heat storage module to the preset maximum exothermic power in the operation period, is the exothermic power of the heat storage module in the i th operation period in the peak output operation cycle of the combined heat and power unit, n is the maximum allowable value of the ratio of the exothermic power of the heat storage module to the preset maximum exothermic power in the operation period. The upper and lower limits of the original load rate of the thermal power generation module are about wherein, r FH,min is the minimum value of the original load rate 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 upper limit constraint on the load rate is wherein, is the load rate of the integrated thermal storage thermal power module, is the maximum load rate of the integrated thermal storage thermal power module.

8. The method of claim 1, wherein, Before taking, under preset constraint conditions, a maximum of an extra power generation amount objective function of the combined heat and power unit under peak output as an optimization target, and based on the undetermined coefficients related to the heat release power, iteratively correcting a heat release power curve of the heat storage module comprises: under preset constraint conditions, taking a maximum of an extra power generation amount objective function of the combined heat and power unit under peak output as an optimization target; based on the undetermined coefficients related to the heat release power, iteratively correcting, by a particle swarm algorithm, the heat release power curve of the heat storage module, to obtain an optimal heat release power curve.

9. A system for integrated operation of a combined heat and power plant, characterized in that The system is used for executing the method in any one of claims 1 to 8, and comprises a model construction module, a fitting analysis module and a power correction module; The model construction module is used for constructing an energy consumption analysis model of a combined heat and power unit, wherein the combined heat and power unit integrates a heat storage module and a thermal power generation module; The fitting analysis module is used for fitting an energy efficiency variable curve of the combined heat and power unit under a typical working condition by the energy consumption analysis model, so as to obtain undetermined coefficients related to heat release power of the heat storage module; The power correction module is used for iteratively correcting a heat release power curve of the heat storage module based on the undetermined coefficients related to the heat release power, with a maximum of an extra power generation amount of the combined heat and power unit under a peak output condition as an optimization target under a preset constraint condition.

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