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 PDFInfo
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Abstract
The invention discloses a real-time cost measuring and calculating method of a coal-fired power plant based on production and financial data, which solves the problem that the measuring and calculating method in the existing real-time cost measuring and calculating process is not comprehensive and has data errors by utilizing daily production and financial data of the power plant. The measuring and calculating method comprises the following steps: 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; establishing a power supply coal consumption model, substituting power plant production data into the power supply coal consumption model to calculate to obtain a power supply coal consumption value, and substituting fuel price data and the power supply coal consumption value into the model to calculate to obtain a fuel cost value; establishing a real-time cost calculation model, and substituting production and financial data into the cost calculation model to obtain other cost values; and summing the variable cost value and the fixed cost value to obtain a real-time total cost value. The calculation model of the invention is simple and clear, and is easy to understand and operate.
Description
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:
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.
Drawings
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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. 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;
the real-time cost calculation model is as follows:
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, COOther costs;
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.
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| CN114565420A (en) * | 2022-03-10 | 2022-05-31 | 西安热工研究院有限公司 | Method and system for acquiring real-time cost of power generation company, computer equipment and readable storage medium |
| CN114912661A (en) * | 2022-04-20 | 2022-08-16 | 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 |
| CN118172116A (en) * | 2024-03-20 | 2024-06-11 | 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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| CN114565420A (en) * | 2022-03-10 | 2022-05-31 | 西安热工研究院有限公司 | Method and system for acquiring real-time cost of power generation company, computer equipment and readable storage medium |
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| CN118172116A (en) * | 2024-03-20 | 2024-06-11 | 南通大学 | Method and system for measuring and calculating real-time variable cost of coal-fired unit by considering carbon emission |
| 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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