CN112435056A - Real-time cost measuring and calculating method for coal-fired power plant based on production and financial data - Google Patents

Real-time cost measuring and calculating method for coal-fired power plant based on production and financial data Download PDF

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CN112435056A
CN112435056A CN202011303687.8A CN202011303687A CN112435056A CN 112435056 A CN112435056 A CN 112435056A CN 202011303687 A CN202011303687 A CN 202011303687A CN 112435056 A CN112435056 A CN 112435056A
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陈涛
朱江
曹阳
章立
高英
任廷林
罗兴祥
左天才
邹兴建
刘明
周保中
乐鹰
吴巧玲
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Huadian Electric Power Research Institute Co Ltd
Guizhou Wujiang Hydropower Development Co Ltd
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Abstract

本发明公开了一种基于生产与财务数据的燃煤电厂实时成本测算方法，利用电厂日常生产与财务数据解决了现有实时成本测算过程中测算方法不全面存在数据误差的问题。测算方法包括：获取燃煤电厂日常生产、财务数据；划分成本数据类别，将实时成本划分为固定成本、变动成本，将数据提取至划分好的数据类别中；建立供电煤耗模型，通过电厂生产数据代入供电煤耗模型计算得到供电煤耗值，通过燃料价格数据和供电煤耗值代入模型计算得到燃料成本值；建立实时成本计算模型，通过生产与财务数据代入成本计算模型得到其他成本值；将变动成本值和固定成本值进行求和得到实时总成本值。本发明计算模型简单清晰，易于理解操作。

Figure 202011303687

The invention discloses a real-time cost calculation method for a coal-fired power plant based on production and financial data, and uses the daily production and financial data of the power plant to solve the problem of incomplete data errors in the existing real-time cost calculation process. The calculation method includes: obtaining daily production and financial data of coal-fired power plants; dividing cost data categories, dividing real-time costs into fixed costs and variable costs, and extracting data into the divided data categories; Substitute into the power supply coal consumption model to calculate the power supply coal consumption value, and calculate the fuel cost value by substituting the fuel price data and power supply coal consumption value into the model; establish a real-time cost calculation model, and obtain other cost values by substituting production and financial data into the cost calculation model; Sum the fixed cost value to get the real-time total cost value. The calculation model of the present invention is simple and clear, and is easy to understand and operate.

Figure 202011303687

Description

Real-time cost measuring and calculating method for coal-fired power plant based on production and financial data
Technical Field
The invention relates to the technical field of cost measurement and calculation, in particular to a real-time cost measurement and calculation method for a coal-fired power plant based on production and financial data.
Background
The real-time cost is the cost consumed in a unit time interval of a unit under a certain load, and the power spot market definitely requires power generation enterprises to carry out cost measurement and calculation in real time according to power generation of various units, so that the real-time cost measurement and calculation can be scientifically suitable for quotation and operation management links of the power spot market. In recent years, many research institutions and manufacturers research real-time cost, for example, the thermal economics method published in the power technology of north china, "thermal economics method for cost analysis of thermal power plants" proposes a method for calculating cost by using the thermal economics theory, analyzes real-time cost, and forms the basis and foundation for competing power price and striving for power generation plan. The research on the dynamic cost analysis system of the thermal power plant published in the university of science and technology in china proposes a dynamic cost analysis system framework of the thermal power plant, and discusses how to acquire original data of dynamic cost, how to decompose and calculate the dynamic cost, and a method and steps for statistical analysis of the dynamic cost. The gas turbine technology published discussion about the power generation cost calculation method of the power plant researches three methods about power generation cost calculation of the power plant widely adopted at home and abroad at present to discuss the difference and the reasonable degree of the three methods. After the electric power spot transaction mode is provided, the existing real-time cost measurement and calculation method is not comprehensive enough, has data calculation errors, and still needs to be further improved.
Disclosure of Invention
The invention aims to overcome the defects of the existing measuring and calculating method and provide a coal-fired power plant real-time cost measuring and calculating method which is reasonable in design and convenient to calculate and based on production and financial data. The technical problems that an existing real-time cost measuring and calculating method is not comprehensive enough, data calculation errors exist, and real-time cost cannot be calculated accurately are solved through the optimization design of the model, so that the real-time cost is calculated comprehensively and accurately, and the real-time cost data calculation errors are eliminated.
The technical scheme adopted by the invention for solving the problems is as follows: a coal-fired power plant real-time cost measurement and calculation method based on production and financial data is characterized by comprising the following steps:
1) and (3) data processing: acquiring daily production and financial data of a coal-fired power plant; dividing the data into the data category, dividing the real-time cost into fixed cost and variable cost, and extracting the data into the divided data category;
2) the model establishing process comprises the following steps: establishing a power supply coal consumption model and establishing a real-time cost calculation model;
3) and (3) numerical calculation process: the method comprises the steps of obtaining a power supply coal consumption value by substituting power plant production data into a power supply coal consumption model, obtaining a fuel cost value by substituting fuel price data and the power supply coal consumption value into the model, obtaining other cost values by substituting production and financial data into a cost calculation model, and summing a variable cost value and a fixed cost value to obtain a real-time total cost value.
Further, the real-time cost calculation model in the step 2) is as follows:
Figure BDA0002787637550000021
wherein, CRTThe real-time unit power generation cost, HR is the steam turbine heat rate, QnIs the low calorific value of standard coal, etaglTo the boiler efficiency, ηpTo the efficiency of the duct, xiapTo the plant power rate, PfMarking the actual comprehensive coal unit price data for the previous month financial statement, MAwgFor buying actual value of power fee for the first monthvFor varying the cost sharing ratio, MBwgFor buying power fee budget for the month outside, DimNumber of days since this month has occurred, DlmTotal days of the previous month, DmTotal days of this month, EOFor the amount of power on the Internet on that day, BsfFor the water cost budget of this month, CzjFor depreciated cost unit real-time cost, OVuFixing the original value of the asset, R, for each unitfFor a fixed cost share ratio, RrEstimate residual rate for fixed assets, t is unit age, DiDepreciation fee for the construction of infrastructure of this month, COFor other costs.
Compared with the prior art, the invention has the following advantages and effects:
1. the measuring and calculating data are daily production and financial data of the power plant and are easy to obtain, and the data collection workload in the measuring and calculating process is greatly simplified.
2. The real-time cost parameters are designed comprehensively, and cost calculation errors are reduced.
3. The calculation model is simple and clear, and the operation is easy to understand.
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FIG. 1 is a schematic diagram of a real-time cost component in an embodiment of the invention.
Detailed Description
The present invention will be described in further detail below by way of examples with reference to the accompanying drawings, which are illustrative of the present invention and are not to be construed as limiting the present invention.
Examples are given.
Referring to fig. 1, in this embodiment, a method for real-time cost measurement and calculation of a coal-fired power plant based on production and financial data includes the following steps:
1. and (3) data processing: the method comprises the steps of obtaining daily production and financial data of a coal-fired power plant, dividing the data into data categories, dividing real-time cost into fixed cost and variable cost, dividing the fixed cost into depreciation cost, financial cost, staff salary, material cost, repair cost, fixed tax, commission operation cost and other expenses, dividing the variable cost into fuel cost, outsourcing power cost, variable tax and water cost, and extracting the data into the divided data categories.
2. The model establishing process comprises the following steps: establishing a power supply coal consumption model, establishing a fuel cost model, and establishing a real-time cost calculation model of other parameters in the step 1).
In this embodiment, the power supply coal consumption model is:
Figure BDA0002787637550000031
wherein, bn xFor supplying power, standard coal consumption rate, HR for steam turbine heat consumption rate, QnIs the low calorific value of standard coal, etaglTo the boiler efficiency, ηpTo the efficiency of the duct, xiapThe power consumption of the plant.
In this embodiment, the fuel cost model is:
Figure BDA0002787637550000032
wherein, CfIs unit fuel cost, PfFor comprehensive coal unit price marking, bn xFor supplying standard coal consumption rate, HR is steam turbineHeat rate of consumption, QnIs the low calorific value of standard coal, etaglTo the boiler efficiency, ηpTo the efficiency of the duct, xiapThe power consumption of the plant.
In this example, the outsourcing power cost model is:
Figure BDA0002787637550000033
wherein, CwgFor outsourcing of real-time cost of power charge units, MAwgFor buying actual value of power fee for the first monthvFor varying the cost sharing ratio, MBwgFor buying power fee budget for the month outside, DimNumber of days since this month has occurred, DlmTotal days of the previous month, DmTotal days of this month, EoThe current day is the power on the internet.
In this embodiment, the unit water rate model is:
Figure BDA0002787637550000034
wherein, CsfAs real time cost per water charge, BsfFor the monthly water cost budget, RvTo vary the cost sharing ratio, DmTotal days of this month, EoThe current day is the power on the internet.
In this embodiment, the unit change tax model is:
Figure BDA0002787637550000041
wherein, CbdsjFor varying real-time cost of tax fund in unit, SAcjsFor urban construction tax on quarter, SAjyfFor quarterly education fee addition, SAhbsFor seasonal environmental taxes, RvTo vary the cost sharing ratio, DlsFor the number of days in the quarter, EoThe current day is the power on the internet.
In this embodiment, the unit water rate model is:
Figure BDA0002787637550000042
wherein, CzjFor depreciated cost unit real-time cost, OVuFixing the original value of the asset, R, for each unitfFor a fixed cost share ratio, RrEstimate residual rate for fixed assets, t is unit age, DiDepreciation fee for the construction of this month infrastructure, EoThe current day is the power on the internet.
In this embodiment, the unit financial cost model is:
Figure BDA0002787637550000043
wherein, CcwFor real-time cost of financial cost per unit, MAcwFor last month financial costs, RfFor a fixed apportionment, MBcwBudgeting financial costs for this month, DimNumber of days since this month has occurred, DmTotal days of this month, DlmTotal days of the previous month, EoThe current day is the power on the internet.
In this embodiment, the compensation model for the unit staff is:
Figure BDA0002787637550000044
wherein, CzgxcIs the real-time cost of salary of the unit employee, YBzgxcFor budgeting staff compensation of the current year, RfTo fix the cost apportionment, EoThe current day is the power on the internet.
In this embodiment, the material cost per unit electricity model is:
Figure BDA0002787637550000045
wherein, CclRepresenting unit charge of electricity and material, YBclRepresenting the budget of the yearCharge of material, EoRepresenting the amount of power on the internet on the day.
In this embodiment, the unit electricity repair fee model is:
Figure BDA0002787637550000051
wherein, CxlFor unit electricity repair costs, BCbxBudgeting repair costs for major repair cycles, DbxDays of major repair cycle, BCsxBudgeting repair costs for minor repair cycles, DsxDays of minor repair cycle, BCqtFor other overhaul expenses in the year, RfTo fix the cost apportionment, EoThe current day is the power on the internet.
In this embodiment, the other cost models are:
Figure BDA0002787637550000052
wherein, CqtFor real-time costs of other cost units, MAqtFor actual values of other costs of the previous month, RfFor fixed cost sharing ratio, MBqtFor other fees of this month, DmTotal days of this month, DimNumber of days since this month has occurred, DlmTotal days of the previous month, EoThe current day is the power on the internet.
In this embodiment, the unit fixed tax model is:
Figure BDA0002787637550000053
wherein, CgdsjFor fixed tax real-time cost per unit, MAsjfjFor last month tax and annexes, MAcjsFor building taxes in the moon city, MAjyfFor monthly education fee addition, RfTo fix the cost apportionment, DlmTotal days of the previous month, EoThe current day is the power on the internet.
In this embodiment, the commission operating fee model is:
Figure BDA0002787637550000054
wherein, CwtyxFor real-time cost of unit commission operating charge, MAwtyxEntrusted operating expenses for the previous month, RfFor fixed cost sharing ratio, MBwtyxEntrusted operating costs for this monthly budget, DimNumber of days since this month has occurred, DmTotal days of this month, DlmTotal days of the previous month, EoThe current day is the power on the internet.
3. And (3) numerical calculation process: the method comprises the steps of obtaining a power supply coal consumption value by substituting power plant production data into a power supply coal consumption model, obtaining a fuel cost value by substituting fuel price data and the power supply coal consumption value into the model, obtaining other cost values by substituting production and financial data into a cost calculation model, and summing a variable cost value and a fixed cost value to obtain a real-time total cost value.
The measuring and calculating method is described below by taking a certain 600MW ultra-supercritical coal-fired unit as an example.
Extracting data such as steam turbine heat consumption rate, standard coal low-order calorific value, boiler efficiency, pipeline efficiency, plant power consumption rate, previous month financial statement actual comprehensive standard coal unit price, previous month outsourcing power fee actual value, unit variation cost apportionment proportion, current month outsourcing power fee budget value, current month occurring days, previous month total days, current day online electricity quantity, current month water fee budget, depreciation fee unit real-time cost, each unit fixed asset original value, fixed cost apportionment proportion, fixed asset predicted residual value rate, unit service life limit, current month basic facility construction depreciation fee and the like from a daily production and financial data center.
The cost variation values obtained by substituting the extracted data into the cost variation algorithm model are shown in table 1:
meter 1600 MW ultra-supercritical coal-fired unit fixed cost measuring and calculating meter
Varying cost Power supply (Yuan/kilowatt hour)
Cost of fuel 275.5008
Cost of outsourcing power 0.559
Water fee 1.1029
Cost of material for mobility 1.2474
Variable tax fund 12.2793
Sum of varying costs 290.6894
The cost variation values obtained by substituting the extracted data into the cost variation algorithm model are shown in table 2:
fixed cost measuring and calculating table for 2600 MW ultra-supercritical coal-fired unit
Fixed cost Power supply (Yuan/kilowatt hour)
Depreciation fee 77.4718
Financial cost 67.2459
Staff salary 31.2064
Cost of fixing material 2.3932
Cost of repair 1.676
Other costs 8.421
Fixed tax fund 3.6098
Fixed cost total 192.0241
Real-time cost is unit fixed cost + unit variable cost
CRTWhen the power plant is compared, the power plant meets the actual requirement, wherein the power plant is 192.0241+ 290.6894-482.7135 yuan/kilowatt hour.
Those not described in detail in this specification are well within the skill of the art.
Although the present invention has been described with reference to the above embodiments, it should be understood that the scope of the present invention is not limited thereto, and that various changes and modifications can be made by those skilled in the art without departing from the spirit and scope of the present invention.

Claims (1)

1.一种基于生产与财务数据的燃煤电厂实时成本测算方法，其特征在于，包括以下步骤：1. a coal-fired power plant real-time cost measurement method based on production and financial data, is characterized in that, comprises the following steps: 1)数据处理过程：获取燃煤电厂日常生产、财务数据；划分成本数据类别，将实时成本划分为固定成本、变动成本，将数据提取至划分好的数据类别中；1) Data processing process: obtain daily production and financial data of coal-fired power plants; divide cost data categories, divide real-time costs into fixed costs and variable costs, and extract data into the divided data categories; 2)模型建立过程：建立供电煤耗模型，建立实时成本计算模型；2) Model establishment process: establish a power supply coal consumption model, and establish a real-time cost calculation model; 实时成本计算模型为：The real-time costing model is:
Figure FDA0002787637540000011
Figure FDA0002787637540000011
 其中，CRT为实时单位发电成本，HR为汽机热耗率，Qn为标煤低位发热值，ηgl为锅炉效率，ηp为管道效率，ξap为厂用电率，Pf为上月财务报表实际综合标煤单价数据，MAwg为上月外购动力费实际值，Rv为变动成本分摊比例，MBwg为本月外购动力费预算值，Dim为本月已发生天数，Dlm为上月总天数，Dm为本月总天数，EO为当天上网电量，Bsf为本月水费预算，Czj为折旧费单位实时成本，OVu为各机组固定资产原值，Rf为固定成本分摊比例，Rr为固定资产预计残值率，t为机组使用年限，Di为本月基础设施建设折旧费，CO为其他成本；Among them, C RT is the real-time unit power generation cost, HR is the steam turbine heat consumption rate, Q n is the low calorific value of standard coal, η gl is the boiler efficiency, η p is the pipeline efficiency, ξ ap is the plant power consumption rate, and P f is the upper The actual comprehensive unit price of standard coal in the monthly financial statements, MA wg is the actual value of the purchased power cost in the previous month, R v is the variable cost allocation ratio, MB wg is the budget value of the purchased power cost this month, and D im is the number of days that have occurred in this month. , D lm is the total number of days in the previous month, D m is the total number of days in this month, E O is the on-grid electricity on the current day, B sf is the water bill budget for this month, C zj is the real-time cost of depreciation fees, and OV u is the original fixed assets of each unit. R f is the fixed cost apportionment ratio, R r is the estimated residual value rate of fixed assets, t is the service life of the unit, Di is the depreciation cost of infrastructure construction this month, and CO is other costs; 3)数值计算过程：通过电厂生产数据代入供电煤耗模型计算得到供电煤耗值，通过燃料价格数据和供电煤耗值代入模型计算得到燃料成本值，通过生产与财务数据代入成本计算模型得到其他成本值，将变动成本值和固定成本值进行求和得到实时总成本值。3) Numerical calculation process: The power supply coal consumption value is calculated by substituting the power plant production data into the power supply coal consumption model, the fuel cost value is calculated by substituting the fuel price data and the power supply coal consumption value into the model, and other cost values are obtained by substituting the production and financial data into the cost calculation model. Sum the variable cost value and the fixed cost value to get the real-time total cost value.
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CN114912661B (en) * 2022-04-20 2024-09-17 浪潮工业互联网股份有限公司 Power plant cost prediction method, equipment and medium based on industrial Internet
CN114820071A (en) * 2022-05-10 2022-07-29 华能(浙江)能源开发有限公司玉环分公司 Coal-fired power generation cost analysis method and system
CN118172116A (en) * 2024-03-20 2024-06-11 南通大学 A method and system for calculating real-time variable cost of coal-fired units considering carbon emissions
CN118172116B (en) * 2024-03-20 2024-08-16 南通大学 Method and system for measuring and calculating real-time variable cost of coal-fired unit by considering carbon emission

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Application publication date: 20210302