Method and system for measuring and calculating earnings of thermal power plant with multiple heat supply schemes in peak regulation market

Abstract

The invention discloses a multi-heat-supply-scheme thermal power plant income measuring and calculating method and system in a peak regulation market, and relates to the technical field of energy, and the method comprises the steps: calculating the maximum capacity electricity charge income of a thermal power plant in a heat supply period according to a heat supply scheme selected by the thermal power plant and a coal electricity capacity electricity price; according to the heat supply scheme selected by the thermal power plant and the peak regulation market quotation, the maximum peak regulation market income obtained by the thermal power plant in the heat supply period is calculated; calculating the heat supply fuel cost of the thermal power plant according to the heat load needing to be borne by the thermal power plant in the heat supply period; calculating rotor replacement cost paid by the thermal power plant according to the number of units in the selected high back pressure mode; and calculating the net income of the whole plant in the whole heating period. Through a monthly minimum and daily maximum power output declaration mechanism, assessment punishment caused by too high declaration capacity is avoided, the income reliability is improved, and the adaptability of the system to fluctuation of the power spot market is remarkably improved; rotor replacement cost consideration is introduced, and economic loss caused by excessive transformation is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of energy, and particularly to a method and system for calculating the revenue of a thermal power plant with multiple heating schemes in a peak shaving market. Background Art

[0002] In the northern regions of China, most of the coal-fired power is condensing extraction cogeneration units. In recent years, to improve the fuel utilization efficiency, many thermal power plants have carried out high back-pressure heating transformation on the units. After the transformation, these units can flexibly select different operating modes during the heating period, including replacing the low-pressure cylinder rotor to achieve the high back-pressure mode. If the traditional condensing extraction mode is maintained, the unit has high operating flexibility, strong peak shaving ability, and higher revenue in the peak shaving market. However, there is a cold source loss in this mode, and the fuel utilization efficiency is lower than that of the high back-pressure mode. When the high back-pressure mode is selected for operation, the cold source loss of the unit is all used for heating, with high fuel utilization efficiency and low power generation coal consumption, but the operating flexibility is significantly reduced, and the profit-making ability in the peak shaving market will be significantly hindered.

[0003] Under different operating modes, the revenue and cost of the unit will be different, thus affecting the net revenue of the thermal power plant during the entire heating period. The revenue includes capacity revenue and peak shaving revenue; the cost includes heating cost and rotor replacement cost. Therefore, the thermal power plant needs to conduct detailed revenue calculations to determine the optimal operating mode selection of the heating unit.

[0004] How to find a balance among multiple revenues and costs to obtain the maximum profit and select a suitable operating mode before the heating period has become a new challenge faced by thermal power units after the introduction of the capacity price mechanism. Summary of the Invention

[0005] In view of the above problems, the present invention is proposed.

[0006] Therefore, the problem to be solved by the present invention is: how to find a balance among multiple revenues and costs to obtain the maximum profit and select a suitable operating mode before the heating period.

[0007] To solve the above technical problems, the present invention provides the following technical solution: A method for calculating the revenue of a thermal power plant with multiple heating schemes in a peak shaving market, including calculating the maximum capacity electricity fee revenue obtained by the thermal power plant during the heating period according to the heating scheme selected by the thermal power plant and the coal-fired power capacity price; calculating the maximum peak shaving market revenue obtained by the thermal power plant during the heating period according to the heating scheme selected by the thermal power plant and the peak shaving market quotation; calculating the heating fuel cost of the thermal power plant according to the heat load to be borne by the thermal power plant during the heating period; calculating the rotor replacement cost paid by the thermal power plant according to the number of units selecting the high back-pressure mode; giving a comprehensive benefit model of the whole plant during the entire heating period and calculating the net revenue of the whole plant during the entire heating period.

[0008] As an optimal solution of the method for calculating the income of a thermal power plant with multiple heating schemes in a peaking market according to the present invention, wherein: the maximum capacity electricity income is expressed as:

[0009]

[0010] Wherein, the subscript cap represents the capacity electricity price market, R represents the income, λ represents the market electricity price standard, and λ Cap is the monthly capacity electricity price standard, and the subscripts plant, e, and DECL represent the whole plant identification, electricity output identification, and declaration identification respectively, M is the total number of months in the heating period, is the declared capacity of the thermal power plant in the m-th month; the minimum daily maximum electricity output of each month is taken as the declared capacity of the thermal power plant in that month, which is expressed as:

[0011]

[0012] Wherein, the subscripts max and h represent the maximum value identification and heating identification respectively, d is the daily index, representing the d-th day of that month, D is the number of days in that month, and P plant,e,max is the maximum power generation capacity of the thermal power plant on the d-th day of that month, is the heating load on the d-th day of that month; calculate the maximum electricity output of the thermal power plant on each day under the condition of meeting the whole plant heating load and the operation constraints of each unit.

[0013] As an optimal solution of the method for calculating the income of a thermal power plant with multiple heating schemes in a peaking market according to the present invention, wherein: the maximum electricity output of the thermal power plant on each day includes taking the sum of the power generation capacities of all units in the thermal power plant as the objective function, which is expressed as:

[0014]

[0015] Wherein, the subscripts EX, B, and Con represent the extraction condensing unit, high back pressure unit, and pure condensing unit identification respectively, and the superscripts i, j, and p are the numbering indexes under the types of the extraction condensing unit, high back pressure unit, and pure condensing unit respectively, and are the power generation capacities of the extraction condensing unit i, high back pressure unit j, and pure condensing unit p respectively, and n1, n2, and n3 are the numbers of the extraction condensing unit, high back pressure unit, and pure condensing unit in the plant after the selected operation mode; combined with the constraint conditions, a calculation model for the maximum output of the whole plant of the thermal power plant is constructed, and the constraint conditions include the feasible region constraint of the extraction condensing unit, the feasible region constraint of the high back pressure unit, the feasible region constraint of the pure condensing unit, and the heating load constraint.

[0016] As a preferred solution of the method for calculating the revenue of a thermal power plant with multiple heating schemes under a peak-shaving market described in the present invention, the maximum peak-shaving market revenue includes calculating the maximum peak-shaving electricity fee revenue obtained by the thermal power plant during the heating period by calculating the peak-shaving capacity of the thermal power plant according to the deep peak-shaving transaction rules; the minimum power generation capacity of the thermal power plant determines the gear of the deep peak-shaving in which the thermal power plant participates, and further determines the revenue of the thermal power plant in the auxiliary service market, which is expressed as:

[0017]

[0018] Among them, the subscripts min and rated are the minimum value and rated value marks, L plant,e,min , P plant,e,min and P plant,e,rated They are the minimum electric load rate, minimum power generation capacity and the sum of the rated power of the running units of the thermal power plant respectively; the sum of the rated power of the running units is expressed as:

[0019]

[0020] in, and are the rated powers of extraction condensing unit i, high back pressure unit j, and pure condensing unit p respectively; the minimum power generation capacity of the thermal power plant on each day under the condition of satisfying the heat load of the whole plant and the operation constraints of each unit is calculated, which is expressed as:

[0021]

[0022] The peak load regulation situation of each day and time period in the most recent heating period is used for estimation. If the time period belongs to the deep load regulation period, it is considered that the newly added peak load regulation capacity is fully called. The maximum deep load regulation benefit of the entire heating period is expressed as:

[0023]

[0024] Among them, R DDR is the deep peak load regulation electricity price difference during the entire heating period, and the subscript DDR is the deep peak load regulation market identifier. is the capacity of the thermal power plant's operating units in the mth month, are the compensation electricity price and peak load difference of the time period, I m,d,t It is the peak load flag of this period, 1 indicates that it is a deep load period, and 0 indicates that it is not a deep load period.

[0025] As a preferred solution of the method for calculating the revenue of a thermal power plant with multiple heating schemes in a peak-shaving market described in the present invention, the heating fuel cost includes decomposing the power generation coal consumption and the heating coal consumption according to the benefit-reduction method, and calculating the heating fuel cost of the whole plant under the condition of a given heating load of the thermal power plant; the heating cost of the whole heating period is expressed as:

[0026]

[0027] Among them, the subscript Coal is the coal consumption identifier, and λ coal is the coal price, and are the heating coal consumption formulas for the extraction-condensing unit i and the high back-pressure unit j respectively, is the total heating supply undertaken by the extraction-condensing unit i during the heating period,

[0028] are the total heating supply and average heat load of the high back-pressure unit j during the heating period in the most recent heating period respectively.

[0029] As a preferred scheme of the method for calculating the income of a thermal power plant with multiple heating schemes in a peak shaving market according to the present invention, wherein: the cost of replacing the rotor includes constructing a rotor replacement cost model, which is expressed as:

[0030]

[0031] Among them, the subscript repl is the rotor replacement identifier, and λ repl is the replacement cost of the high back-pressure rotor of a single unit.

[0032] As a preferred scheme of the method for calculating the income of a thermal power plant with multiple heating schemes in a peak shaving market according to the present invention, wherein: the comprehensive benefit model of the whole plant during the heating period is expressed as:

[0033] R total = R cap + R DDR - R Coal - R repl

[0034] Among them, the subscript total is the total identifier, and R total is all the profits obtained by the whole plant during the heating period.

[0035] Another object of the present invention is to provide a system for the method of calculating the income of a thermal power plant with multiple heating schemes in a peak shaving market, which can solve the problem of calculating the income of a thermal power plant with multiple heating schemes in a peak shaving market by constructing a system for calculating the income of a thermal power plant with multiple heating schemes in a peak shaving market.

[0036] In order to solve the above technical problems, the present invention provides the following technical solutions: a revenue calculation system for a thermal power plant with multiple heating schemes under a peak-shaving market, comprising a maximum capacity electricity fee revenue calculation module, a maximum peak-shaving market revenue calculation module, a heating fuel cost calculation module, a rotor replacement cost calculation module and a net revenue calculation module; the maximum capacity electricity fee revenue calculation module is used to calculate the maximum capacity electricity fee revenue obtained by the thermal power plant during the heating period according to the heating scheme selected by the thermal power plant and the coal-fired power capacity electricity price; the maximum peak-shaving market revenue calculation module is used to calculate the maximum peak-shaving market revenue obtained by the thermal power plant during the heating period according to the heating scheme selected by the thermal power plant and the peak-shaving market quotation; the heating fuel cost calculation module is used to calculate the heating fuel cost of the thermal power plant according to the heat load that the thermal power plant needs to bear during the heating period; the rotor replacement cost calculation module is used to calculate the rotor replacement cost paid by the thermal power plant according to the number of units selecting the high back pressure mode; the net revenue calculation module is used to provide a comprehensive benefit model for the entire plant during the entire heating period, and calculate the net revenue of the entire plant during the entire heating period.

[0037] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method for calculating the revenue of a thermal power plant with multiple heating schemes in a peak-shaving market are implemented as described above.

[0038] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for calculating the revenue of a thermal power plant with multiple heating schemes in a peak-shaving market as described above.

[0039] The beneficial effects of the present invention are as follows: a method for calculating the revenue of a thermal power plant with multiple heating schemes under a peak-shaving market provided by the present invention avoids the assessment penalty caused by over-reporting capacity through a monthly minimum daily maximum electric output reporting mechanism, thereby improving the reliability of revenue; based on the optimization of the maximum output calculation model of the entire plant, the capacity electricity fee revenue is maximized; the system's adaptability to fluctuations in the electricity spot market is significantly improved; the introduction of rotor replacement cost considerations avoids economic losses caused by excessive transformation; and a comprehensive benefit-cost evaluation system is used to make decisions more scientific. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0041] Figure 1 A flow chart of a method for calculating the revenue of a thermal power plant with multiple heating schemes in a peak-shaving market provided in the first embodiment of the present invention.

[0042] Figure 2 It is a schematic diagram of the peak shaving market participation ability of a thermal power plant for a method of calculating the revenue of a thermal power plant with multiple heating schemes under the peak shaving market provided by the first embodiment of the present invention.

[0043] Figure 3 It is a structural diagram of a system for calculating the revenue of a thermal power plant with multiple heating schemes under the peak shaving market provided by the second embodiment of the present invention.

[0044] Figure 4 It is a schematic diagram of the feasible operating range of a high back-pressure unit for a method of calculating the revenue of a thermal power plant with multiple heating schemes under the peak shaving market provided by the third embodiment of the present invention.

[0045] Figure 5 It is a schematic diagram of the feasible operating range of a condensing extraction unit for a method of calculating the revenue of a thermal power plant with multiple heating schemes under the peak shaving market provided by the third embodiment of the present invention.

[0046] Figure 6 It is a heat load curve graph for 152 days during the heating period for a method of calculating the revenue of a thermal power plant with multiple heating schemes under the peak shaving market provided by the third embodiment of the present invention. Detailed implementation manners

[0047] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the following will describe the detailed implementation manners of the present invention with reference to the accompanying drawings of the specification.

[0048] Many specific details are set forth in the following description in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0049] Embodiment 1, referring to Figure 1 and Figure 2 , which is the first embodiment of the present invention. This embodiment provides a method for calculating the revenue of a thermal power plant with multiple heating schemes in the peak shaving market, including: calculating the maximum capacity electricity fee revenue obtained by the thermal power plant during the heating period according to the heating scheme selected by the thermal power plant and the coal-electricity capacity electricity price; calculating the maximum peak shaving market revenue obtained by the thermal power plant during the heating period according to the heating scheme selected by the thermal power plant and the peak shaving market quotation; calculating the heating fuel cost of the thermal power plant according to the heat load to be borne by the thermal power plant during the heating period; calculating the rotor replacement cost paid by the thermal power plant according to the number of units selected in the high back-pressure mode; giving a comprehensive benefit model of the whole plant during the entire heating period and calculating the net revenue of the whole plant during the entire heating period.

[0050] The present invention provides a method for calculating the comprehensive income of a thermal power plant with a multi-heating mode unit for the peak shaving market, which is used to assist the thermal power plant in systematically evaluating the economic benefits of a thermal power generation unit when selecting different operating modes, and further clarifying the optimal heating mode combination to be adopted, that is, the heating scheme of the thermal power plant. By applying this method, the thermal power plant can clarify the heating scheme before the heating period.

[0051] This method can be applied to a thermal power plant system including at least one unit that can be selectively operated in a high back pressure mode, a extraction condensing mode, or a pure condensing mode.

[0052] S1. Calculate the maximum capacity electricity fee income obtained by the thermal power plant during the heating period according to the heating scheme selected by the thermal power plant and the coal-fired power capacity price.

[0053] According to the coal-fired power capacity price mechanism, the coal-fired power unit needs to declare the maximum output monthly to calculate the maximum capacity electricity fee subsidy obtained by the thermal power plant during the heating period. The total capacity electricity fee that the thermal power plant can obtain during the heating period is specifically:

[0054]

[0055] Among them, the subscript cap represents the capacity price market, R represents the income, λ represents the market electricity price standard, λ Cap represents the monthly capacity price standard, and the subscripts plant, e, and DECL represent the whole plant identification, electricity output identification, and declaration identification respectively, M represents the total number of months in the heating period, is the declared capacity of the thermal power plant in the m-th month.

[0056] This formula gives the calculation method of the total capacity electricity fee, which is only part of the calculation of the maximum capacity electricity fee. To calculate the maximum capacity electricity fee, it is also necessary to calculate the maximum electricity output and then substitute it into the in the formula.

[0057] According to the mechanism of declaring capacity monthly according to the capacity price, and at the same time to avoid the assessment penalty caused by too high declared capacity, this paper takes the minimum daily maximum electricity output of each month as the declared capacity of that month, specifically:

[0058]

[0059] Among them, the subscripts max and h represent the maximum value identification and heating identification respectively, d is the daily index, indicating the d-th day of that month, D is the number of days in that month, and P plant,e,max is the maximum power generation capacity of the thermal power plant on the d-th day of that month, is the heating load on the d-th day of that month.

[0060] Among them, it is necessary to calculate the maximum electricity output of the thermal power plant on each day under the condition of meeting the total plant heat load and the operating constraints of each unit.

[0061] Taking the maximum sum of the power generation capacities of all units in the thermal power plant as the objective function, specifically:

[0062]

[0063] Among them, the subscripts EX, B, and Con are the identification marks of extraction-condensing units, high back-pressure units, and pure condensing units, and the superscripts i, j, and p are the numbering indexes under the corresponding unit types respectively. and are the power generation capacities of extraction-condensing unit i, high back-pressure unit j, and pure condensing unit p respectively, and n1, n2, and n3 are the numbers of extraction-condensing units, high back-pressure units, and pure condensing units in the plant after selecting the operating mode respectively.

[0064] Combined with the constraints such as the power supply and heat supply requirements of the whole plant and the feasible region of the units, a calculation model for the maximum output of the whole thermal power plant is constructed, specifically:

[0065] Feasible region constraint of extraction-condensing units:

[0066]

[0067] Among them, and are the upper and lower limits of the power generation power of extraction-condensing unit i converted to the pure condensing condition respectively. is the power generation power loss corresponding to each 1MW increase in the heat supply of extraction-condensing unit i, which can be obtained from the unit performance test report. is the power generation power of extraction-condensing unit i at the minimum through-flow rate of the low-pressure cylinder under the pure condensing condition. is the electro-thermal ratio influence coefficient corresponding to the heat supply of extraction-condensing unit i. and are the upper and lower limits of the heat supply capacity of extraction-condensing unit i after comprehensively considering the heater limit heat transfer power and the maximum heat supply capacity of the unit respectively. is the heat supply of extraction-condensing unit i.

[0068] Feasible region constraint of high back-pressure units:

[0069]

[0070] Among them, and are the upper and lower limits of the power generation power of high back-pressure unit j respectively. and are the electro-thermal ratio influence coefficient and constant corresponding to the heat supply of high back-pressure unit j respectively. are the heat supplies of high back-pressure unit j respectively.

[0071] Feasible region constraint of pure condensing units:

[0072]

[0073] in, and They are respectively the upper and lower limits of the power generation capacity of the pure condensing unit p.

[0074] Heat load constraints

[0075]

[0076] in, is the heat load of the thermal power plant on day d.

[0077] S2. Calculate the maximum peak-shaving market revenue that the thermal power plant can obtain during the heating period based on the heating plan selected by the thermal power plant and the peak-shaving market quotation.

[0078] According to the deep peak-shaving trading rules, taking the Northeast peak-shaving market as an example, by calculating the peak-shaving capacity of thermal power plants, the maximum peak-shaving electricity fee income that thermal power plants can obtain during the heating period is calculated. Figure 2 shown.

[0079] The minimum power generation capacity of a thermal power plant determines the level of deep peak load regulation that the thermal power plant can participate in, and thus determines the revenue of the thermal power plant in the auxiliary service market as follows:

[0080]

[0081] Among them, the subscripts min and rated are the minimum value and rated value marks, L plant,e,min , P plant,e,min and P plant,e,rated The minimum power load rate, minimum power generation capacity and rated power of the running units of the thermal power plant are as follows:

[0082]

[0083] in, and They are the rated powers of extraction condensing unit i, high back pressure unit j and pure condensing unit p respectively.

[0084] At the same time, it is necessary to calculate the minimum power generation capacity of the thermal power plant on each day under the conditions of meeting the thermal load of the whole plant and the operating constraints of each unit:

[0085]

[0086] Combined with the power supply and heating requirements of the whole plant, the feasible domain of the units and other constraints, a calculation model for the minimum power generation capacity of the whole thermal power plant is constructed. The constraints are the same as the calculation model for the maximum output of the whole plant in step S1.

[0087] The ability of a thermal power plant to participate in deep peak shaving varies under different operating scenarios and may fall into three levels:

[0088]

[0089] Among them, the subscript DDR is the deep peak shaving identifier, and ΔL plant,e,DDR is the deep peak shaving capacity of the thermal power plant, is the capacity of the thermal power plant to participate in the i-th level of peak shaving.

[0090] In the present invention, the peak shaving situation of each day and each time period in the most recent heating period is used for estimation. If the time period belongs to the deep peak shaving period, it is considered that the newly added peak shaving capacity is fully utilized. Therefore, the maximum deep peak shaving benefit for the entire heating period is estimated by the following formula:

[0091]

[0092] Among them, is the capacity of the operating units of the thermal power plant in the m-th month, are respectively the compensation electricity price and the peak shaving electricity difference for the i-th level in this time period. I m,d,t,i is the peak shaving flag for the i-th level in this time period, where 1 indicates belonging to the deep peak shaving period and 0 indicates not belonging to the deep peak shaving period.

[0093] S3. Calculate the heat supply fuel cost of the thermal power plant according to the heat load to be borne by the thermal power plant during the heating period.

[0094] According to the heat benefit attribution method, the power generation coal consumption and the heat supply coal consumption are decomposed, and then the heat supply fuel cost of the whole plant is calculated under the given heat supply load of the thermal power plant.

[0095] For the power plant, its heat supply cost for the entire heating period can be calculated by the following formula:

[0096]

[0097] Among them, the subscript Coal is the coal consumption identifier, and λ coal is the coal price, and are respectively the heat supply coal consumption formulas for the extraction condensing unit i and the high backpressure unit j.

[0098] Specifically, the heat supply coal consumption rates of the units in the extraction condensing and high backpressure operation modes in the above formula can be calculated by the following formulas:

[0099] Extraction condensing mode:

[0100] The coal consumption formula for the extraction condensing unit i is:

[0101]

[0102] Among them, is the coal consumption formula of the extraction-condensing unit i, and are the coal consumption characteristic constant coefficients of the extraction-condensing unit i. Then, under this operating condition, the marginal coal consumption for heat supply of the unit is:

[0103]

[0104] Considering the fluctuation of the heat supply coal consumption rate caused by the fluctuation of the electric load during the heating period, the average load is used for estimation:

[0105]

[0106] Among them, and are the average power generation and heat supply powers of the extraction-condensing unit i during the heating period.

[0107] Then, during the entire heating period, the heat supply coal consumption of the extraction-condensing unit i can be estimated by the following formula:

[0108]

[0109] Among them, is the total heat supply undertaken by the extraction-condensing unit i during the heating period.

[0110] High back-pressure mode:

[0111] The coal consumption formula of the high back-pressure unit j is:

[0112]

[0113] Among them, are the fuel utilization coefficients of the high back-pressure unit j respectively.

[0114] Under the benefit attribution to heat method, the power generation cost of the unit in the high back-pressure mode is the cost per kilowatt-hour of the unit in the pure condensing operation mode. Among them, the coal consumption formula of the high back-pressure unit j operating in the pure condensing operation mode is:

[0115]

[0116] Among them, is the coal consumption formula of the high back-pressure unit j operating in the pure condensing operation mode, are the coal consumption characteristic constant coefficients of the high back-pressure unit j operating in the pure condensing operation mode.

[0117] Considering the fluctuation of the heat supply coal consumption rate caused by the fluctuation of the electric load during the heating period, the marginal coal consumption for heat supply of the back-pressure unit is calculated using the average load as:

[0118]

[0119] Among them, and are respectively the average power generation power and heat supply power of the high backpressure unit j during the heating period.

[0120] Then, during the entire heating period, the heat supply coal consumption of unit j in the high backpressure operation mode is:

[0121]

[0122] Among them, are respectively the total heat supply and average heat load of the high backpressure unit j during the heating period in the most recent heating period.

[0123] For the determination of the heat supply of the unit under different operation modes, the present invention first determines the daily heat supply of the high backpressure unit and the extraction condensing unit by distributing the daily heat load during the heating period, and then obtains the average heat supply of each unit during the entire heating period through the method of accumulation during the entire heating period, specifically as follows:

[0124] Considering that the heat supply coal consumption of the unit in the extraction condensing operation mode is higher than that in the high backpressure operation mode, and the high backpressure operation mode has the operation characteristic of "determining power generation by heat" completely, based on the actual operation law of the power plant, the following distribution method is adopted to distribute the daily heat load:

[0125] On the premise of meeting the electrical load and the minimum extraction steam flow of the heater, the extraction condensing unit reduces the extraction steam for heat supply as much as possible, and the heat supply is provided by the unit operating in the high backpressure mode.

[0126] When the heat output of the unit in the high backpressure operation mode reaches the upper limit, the remaining heat supply is evenly distributed by the remaining units operating in the extraction condensing mode according to the number of heaters.

[0127] S4. Calculate the cost of replacing the rotor paid by the thermal power plant according to the number of units selected for the high backpressure mode.

[0128] If the heat supply unit selects the high backpressure operation mode, the thermal power plant needs to bear the cost of replacing the rotor. To ensure the comprehensiveness of cost evaluation, a rotor replacement cost model is constructed, specifically:

[0129]

[0130] Among them, the subscript repl is the rotor replacement identifier, λ repl is the replacement cost of the high backpressure rotor of a single unit.

[0131] S5. Give the calculation of the comprehensive benefit model of the whole plant during the entire heating period, and calculate the net income of the whole plant during the entire heating period.

[0132] Combined with the above steps, give the calculation of the comprehensive benefit model of the whole plant during the entire heating period, specifically:

[0133] R total = R cap + R DDR - R Coal - R repl

[0134] where the subscript "total" is the total identification, and R total is the total profit obtained by the whole plant during the heating period.

[0135] Example 2. Referring to Figure 3 , which is the second embodiment of the present invention. Different from the previous embodiment, it provides a revenue calculation system for a multi-heating scheme thermal power plant in a peaking market, including: a maximum capacity electricity revenue calculation module 100, a maximum peaking market revenue calculation module 200, a heating fuel cost calculation module 300, a rotor replacement cost calculation module 400, and a net revenue calculation module 500.

[0136] The maximum capacity electricity revenue calculation module 100 is used to calculate the maximum capacity electricity revenue obtained by the thermal power plant during the heating period according to the heating scheme selected by the thermal power plant and the coal-electricity capacity electricity price.

[0137] The maximum peaking market revenue calculation module 200 is used to calculate the maximum peaking market revenue obtained by the thermal power plant during the heating period according to the heating scheme selected by the thermal power plant and the peaking market quotation.

[0138] The heating fuel cost calculation module 300 is used to calculate the heating fuel cost of the thermal power plant according to the heat load borne by the thermal power plant during the heating period.

[0139] The rotor replacement cost calculation module 400 is used to calculate the rotor replacement cost paid by the thermal power plant according to the number of units selected for the high backpressure mode.

[0140] The net revenue calculation module 500 is used to give a comprehensive benefit model for the whole plant during the entire heating period and calculate the net revenue of the whole plant during the entire heating period.

[0141] If the above-mentioned functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs.

[0142] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a predefined sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with such instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0143] More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion (electronic device) having one or more wirings, a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, a computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or otherwise processing it as appropriate, and then storing it in a computer memory.

[0144] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0145] Example 3, referring to Figures 4 - 6 , which is the third embodiment of the present invention. What is different from the previous two embodiments is that in order to verify and illustrate the technical effects adopted in the present invention to verify the actual effects of this method.

[0146] In the embodiments of the present invention, the selected thermal power plant includes a pure condensing unit and three extraction condensing heating units. Among them, Unit 1 is a pure condensing unit, and after being retrofitted with a high back pressure, it can be selectively operated in the high back pressure heating mode or the pure condensing mode. Units 2-4 are extraction condensing units. When Unit 1 in the plant operates in the high back pressure mode and Units 2-4 operate in the extraction condensing mode, it is recorded as operation plan A; when Unit 1 operates in pure condensing (since Unit 1 has no extraction steam heater, so the pure condensing mode is adopted) and Units 2-4 operate in extraction condensing, it is recorded as operation plan B. As Figure 4 and Figure 5 shown.

[0147] The known economic parameters and operating parameters of the four units are shown in Tables 1 and 2 respectively.

[0148] Table 1 Unit operating parameters

[0149]

[0150] Table 2 Unit economic parameters

[0151]

[0152] In the embodiments of the present invention, the capacity price is calculated at 100 yuan / KW per year. At the same time, for the convenience of calculation, the remaining prices involved in the calculation example are averaged for calculation: assuming the standard coal unit price is 1000 yuan / ton; the clearing price of the first gear of the deep peak shaving transaction is 265 yuan / MWh, the clearing price of the second gear is 620 yuan / MWh, and the clearing price of the third gear is 880 yuan / MWh. The heat load curve for 152 days during the heating period is as Figure 6 shown.

[0153] The declared capacity and capacity electricity fee calculation results under different schemes are shown in Tables 3 and 4.

[0154] Monthly declared capacity (MW) of Operation Plans A and B in Table 3

[0155] Mode November December January February March Alpha Mode 951 1166 1178 1128 983 Beta Mode 1301 1272 1269 1302 1333

[0156] Monthly capacity electricity charges (10,000 yuan) of Operation Plans A and B in Table 4

[0157] Mode November December January February March Alpha Mode 781 990 1001 865 862 Beta Mode 1069 1081 1078 999 1169

[0158] The monthly peak shaving electricity quantity and peak shaving revenue results under different plans are shown in Table 5 as follows.

[0159] Monthly peak shaving electricity quantity (MWh) of Operation Plans A and B in Table 5

[0160] Mode First Gear Second Gear Third Gear Alpha Mode 35365 19843 4911 Beta Mode 39123 21676 3137

[0161] The monthly heat supply cost results under different plans are shown in Table 6 as follows.

[0162] Monthly heat supply cost (10,000 yuan) of Operation Plans A and B in Table 6

[0163] Mode November December January February March Alpha Mode 1236 1588 1527 876 943 Beta Mode 1236 2414 2074 1400 943

[0164] Table 7 further gives the differences in various revenues, costs, and total profits of the thermal power plant under Plans A and B.

[0165] Revenue difference between Plan A and Plan B in Table 7 (10,000 yuan)

[0166]

[0167] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A method for calculating the revenue of a thermal power plant with multiple heating schemes in a peak shaving market, characterized in that: including Calculate the maximum capacity electricity fee income of the thermal power plant during the heating period according to the heating plan selected by the thermal power plant and the coal-fired power capacity price Calculate the maximum peak shaving market income of the thermal power plant during the heating period according to the heating plan selected by the thermal power plant and the peak shaving market quotation Calculate the heating fuel cost of the thermal power plant according to the heat load that the thermal power plant needs to bear during the heating period Calculate the rotor replacement cost paid by the thermal power plant according to the number of units selected for the high back pressure mode Give a comprehensive benefit model of the whole plant during the whole heating period, and calculate the net income of the whole plant during the whole heating period 2. The method for calculating the revenue of a thermal power plant with multiple heating schemes in a peak shaving market according to claim 1, wherein: The maximum capacity electricity fee income includes, expressed as Among them, the subscript cap represents the capacity tariff market, R represents the revenue, λ represents the market electricity price standard, and λ Cap represents the monthly capacity tariff standard. The subscripts plant, e, and DECL represent the whole plant identification, electricity output identification, and declaration identification respectively. M represents the total number of months in the heating period, is the declared capacity of the thermal power plant in the m-th month; Take the minimum daily maximum electricity output of each month as the declared capacity of the thermal power plant for that month, expressed as where the subscripts max and h are the maximum value identifier and the heat supply identifier respectively, d is the day index indicating the d-th day of the month, D is the number of days in the month, and P plant,e,max is the maximum power generation capacity of the thermal power plant on the d-th day of the month, and is the heat supply load on the d-th day of the month; Calculate the maximum electricity output of the thermal power plant on each day under the condition of meeting the heat load of the whole plant and the operation constraints of each unit 3. The method for calculating the revenue of a thermal power plant with multiple heating schemes in a peak shaving market according to claim 2, wherein: The maximum electricity output of the thermal power plant on each day includes taking the sum of the power generation capacities of all units in the thermal power plant as the objective function, expressed as Among them, the subscripts EX, B, and Con are the identification marks of the extraction-condensing unit, high back-pressure unit, and pure condensing unit, respectively, and the superscripts i, j, and p are the numbering indexes under the types of the extraction-condensing unit, high back-pressure unit, and pure condensing unit, respectively. and are the power generation capacities of the extraction-condensing unit i, the high back-pressure unit j, and the pure condensing unit p, respectively, and n1, n2, and n3 are the numbers of the extraction-condensing unit, high back-pressure unit, and pure condensing unit of the in-plant units after the selected operation mode, respectively. Combined with the constraint conditions, construct a calculation model for the maximum output of the whole plant of the thermal power plant. The constraint conditions include the feasible region constraints of extraction-condensing units, high back pressure units, pure condensing units and heat load constraints 4. The method for calculating the revenue of a thermal power plant with multiple heating schemes under a peaking market according to claim 3, wherein: The maximum peak shaving market income includes calculating the maximum peak shaving electricity fee income of the thermal power plant during the heating period by calculating the peak shaving capacity of the thermal power plant according to the deep peak shaving trading rules The minimum power generation capacity of the thermal power plant determines the gear of the deep peak shaving participated by the thermal power plant, and then determines the income situation of the thermal power plant in the ancillary service market, expressed as where the subscripts min and rated are the minimum value identifier and the rated value identifier, and L plant,e,min , P plant,e,min and P plant,e,rated are respectively the minimum electric load rate, the minimum power generation capacity of the thermal power plant, and the sum of the rated powers of the started-up units; The sum of the rated powers of the operating units is expressed as Among them, and are the rated powers of the extraction-condensing unit i, the high back-pressure unit j, and the condensing unit p, respectively. Calculate the minimum power generation capacity of the thermal power plant on each day under the condition of meeting the heat load of the whole plant and the operation constraints of each unit, expressed as Estimate using the peak shaving situation of each time period on each day of the most recent heating period. If the time period belongs to the deep peak shaving period, it is considered that the newly added peak shaving capacity is fully utilized. The maximum deep peak shaving income during the whole heating period, expressed as where, R DDR is the electricity cost difference for deep peak shaving during the entire heating period, and the subscript DDR is the deep peak shaving market identifier, is the capacity of the operating units of the thermal power plant in the m-th month, are the compensation electricity price and the peak shaving electricity quantity difference for the time period respectively, and I m,d,t is the peak shaving flag for this time period, 1 indicates belonging to the deep peak shaving period, and 0 indicates not belonging to the deep peak shaving period.

5. The method for calculating the revenue of a thermal power plant with multiple heating schemes in a peak shaving market according to claim 4, wherein: The heating fuel cost includes decomposing the power generation coal consumption and heating coal consumption according to the benefit attribution to heat method, and calculating the heating fuel cost of the whole plant under the given heating load of the thermal power plant The heating cost during the whole heating period is expressed as Among them, the subscript Coal is the coal consumption identifier, λ coal is the coal price, and are the heating coal consumption formulas of the extraction-condensing unit i and the high back-pressure unit j respectively, is the total heating supply quantity borne by the extraction-condensing unit i during the heating period, are the total heating supply quantity and the average heat load of the high back-pressure unit j during the most recent heating period during the heating period respectively.

6. The method for calculating the revenue of a thermal power plant with multiple heating schemes in a peak shaving market according to claim 5, characterized in that: The rotor replacement cost includes constructing a rotor replacement cost model, expressed as Among them, the subscript repl is the replacement rotor identification, and λ repl is the replacement cost of the high back-pressure rotor of a single unit.

7. The method for calculating the revenue of a thermal power plant with multiple heating schemes in a peaking market according to claim 6, wherein: The comprehensive benefit model of the whole plant during the whole heating period is expressed as R total = R cap + R DDR - R Coal - R repl Among them, the subscript "total" is the total identifier, and R total is the total profit obtained by the whole factory during the heating period.

8. A system adopting a method for calculating the revenue of a thermal power plant with multiple heat supply schemes under a peaking market as described in any one of claims 1 to 7, characterized in that: including a maximum capacity electricity fee income calculation module (100), a maximum peak shaving market income calculation module (200), a heating fuel cost calculation module (300), a rotor replacement cost calculation module (400) and a net income calculation module (500); The maximum capacity electricity fee income calculation module (100) is used to calculate the maximum capacity electricity fee income of the thermal power plant during the heating period according to the heating plan selected by the thermal power plant and the coal-fired power capacity price The maximum peak shaving market income calculation module (200) is used to calculate the maximum peak shaving market income of the thermal power plant during the heating period according to the heating plan selected by the thermal power plant and the peak shaving market quotation The heating fuel cost calculation module (300) is used to calculate the heating fuel cost of the thermal power plant according to the heat load that the thermal power plant needs to bear during the heating period The replacement rotor cost calculation module (400) is used to calculate the replacement rotor cost paid by the thermal power plant according to the number of units that select the high back-pressure mode; The net income calculation module (500) is used to give a calculation of the comprehensive benefit model of the whole plant during the entire heating period and calculate the net income of the whole plant during the entire heating period.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that: When the processor executes the computer program, the steps of a method for measuring the income of a thermal power plant with multiple heating schemes in a peaking market described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of a method for measuring the income of a thermal power plant with multiple heating schemes in a peaking market described in any one of claims 1 to 7 are implemented.

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