A method, device and electronic equipment for determining the maintenance cycle of a coal-fired unit

Abstract

The present invention discloses a method, device and electronic device for determining the overhaul cycle of a coal-fired unit, which obtains the performance data of the coal-fired unit to determine the target performance index and determines the first correlation between the target performance index of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected; determines the second correlation between the increase in the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected; calculates the minimum increase in the operating cost of the coal-fired unit to be detected according to the second correlation and determines the overhaul time point corresponding to the minimum increase; obtains the re-commissioning time point corresponding to the last overhaul cycle of the coal-fired unit to be detected and uses the interval between the re-commissioning time point and the overhaul time point corresponding to the minimum increase as the overhaul cycle of the coal-fired unit to be detected. The method improves the accuracy of the data; takes into account the differences in the performance degradation laws of different coal-fired units, improves the applicability of the overhaul cycle, and reduces the overhaul cost.

Description

Technical Field

[0001] The present invention relates to the technical field of coal-fired thermal power plant maintenance, and in particular to a method, device and electronic equipment for determining a maintenance period of a coal-fired unit. Background Art

[0002] With the continuous increase in the installed capacity of new energy grid-connected, the power structure has undergone profound changes, and the peak-shaving properties of coal-fired units have become increasingly prominent. Frequent wide load regulation and long-term ultra-low load grid connection have become the norm. The utilization hours of units are decreasing year by year. In areas with abundant new energy, coal-fired units are often out of service, and the maintenance cycle is arranged according to the calendar year, resulting in a huge waste of resources. In addition, due to factors such as rising coal prices, the profitability of power generation companies has weakened. Optimizing the maintenance cycle is an effective way to reduce the maintenance cost of units.

[0003] The existing conventional methods for determining the maintenance cycle of units have the following main problems: (1) The maintenance cycle is determined by calendar days, without considering the actual operation of the unit, resulting in excessive maintenance; (2) A coal-fired power plant is an organic whole, and the maintenance of major equipment is usually carried out at the same time. The determination of the maintenance cycle does not comprehensively consider the degradation law of the thermal performance of the unit, and the accuracy is not high. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides a method, device and electronic equipment for determining the maintenance period of a coal-fired unit to solve the technical problems in the prior art of excessive maintenance caused by unreasonable maintenance period and low accuracy.

[0005] The technical solution proposed by the present invention is as follows:

[0006] A first aspect of an embodiment of the present invention provides a method for determining the maintenance cycle of a coal-fired unit, the method comprising: obtaining performance data of a target duration of the coal-fired unit to be detected under an operating load and determining a first correlation between a target performance indicator of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the performance data; obtaining an increase in the energy consumption cost of the coal-fired unit to be detected within the target duration and determining a second correlation between the increase in the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the first correlation; calculating a minimum increase in the operating cost of the coal-fired unit to be detected according to the second correlation and determining a maintenance time point corresponding to the minimum increase; obtaining a recommissioning time point corresponding to the last maintenance cycle of the coal-fired unit to be detected and using the interval between the recommissioning time point and the maintenance time point corresponding to the minimum increase as the maintenance cycle of the coal-fired unit to be detected.

[0007] Optionally, determining the first correlation between the target performance indicator of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the performance data includes: calculating the target performance indicator of the coal-fired unit to be detected based on the performance data; fitting the target performance indicator and the operating time and determining the first corresponding relationship between the target performance indicator and the operating time; determining the first correlation between the target performance indicator of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the first corresponding relationship.

[0008] Optionally, determining the first correlation between the target performance indicator of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the performance data also includes: determining a preset number of load points within the operating load variation range of the coal-fired unit to be detected; determining a third correlation between the performance indicator of each load point and the operating time of the coal-fired unit to be detected based on the performance data; clustering the third correlation and determining the first correlation between the target performance indicator of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected according to the clustering result.

[0009] Optionally, determining the second correlation relationship between the increased value of the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the first correlation relationship includes: determining the second corresponding relationship between the energy consumption cost of the coal-fired unit to be detected and the performance indicator corresponding to the same time according to the first corresponding relationship; determining the third corresponding relationship between the increased value of the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected according to the first corresponding relationship and the second corresponding relationship; determining the second correlation relationship between the increased value of the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the third corresponding relationship.

[0010] Optionally, the second correlation relationship between the increased value of the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected determined based on the first correlation relationship also includes: performing weighted processing on the operating load of the coal-fired unit to be detected within the target time range of the coal-fired unit to be detected; and determining the second correlation relationship between the increased value of the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the processing result.

[0011] Optionally, the calculation of the minimum increase in the operating cost of the coal-fired unit to be detected based on the second association relationship includes: when the coal-fired unit to be detected is shut down for maintenance, obtaining the corresponding power supply revenue loss value and maintenance cost value; calculating the increase in the energy consumption cost of the coal-fired unit to be detected based on the second association relationship; determining a fourth corresponding relationship between the increase in the operating cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the increase in the energy consumption cost of the coal-fired unit to be detected, the power supply revenue loss value and the maintenance cost value; and calculating the minimum increase in the operating cost of the coal-fired unit to be detected based on the fourth corresponding relationship.

[0012] According to a second aspect of an embodiment of the present invention, there is provided a device for determining a maintenance cycle of a coal-fired unit, the device comprising: a first determination module for obtaining performance data of a target duration of the coal-fired unit to be detected under an operating load and determining a first correlation between a target performance index of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the performance data; a second determination module for obtaining an increase in the energy consumption cost of the coal-fired unit to be detected within the target duration and determining a second correlation between the increase in the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the first correlation; a third determination module for calculating a minimum increase in the operating cost of the coal-fired unit to be detected according to the second correlation and determining a maintenance time point corresponding to the minimum increase; and a fourth determination module for obtaining a recommissioning time point corresponding to the last maintenance cycle of the coal-fired unit to be detected and using the interval between the recommissioning time point and the maintenance time point corresponding to the minimum increase as the maintenance cycle of the coal-fired unit to be detected.

[0013] Optionally, the device also includes: a first calculation module, used to calculate the target performance indicator of the coal-fired unit to be detected based on the performance data; a first processing module, used to fit the target performance indicator and the operating time and determine the first corresponding relationship between the target performance indicator and the operating time; a fifth determination module, used to determine the first correlation relationship between the target performance indicator of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the first corresponding relationship.

[0014] A third aspect of an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method for determining the maintenance cycle of a coal-fired unit as described in the first aspect of the embodiment of the present invention and any one of the first aspects.

[0015] A fourth aspect of an embodiment of the present invention provides an electronic device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to execute the method for determining the maintenance cycle of a coal-fired unit as described in the first aspect of the embodiment of the present invention and any one of the first aspects.

[0016] The technical solution provided by the present invention has the following effects:

[0017] The method for determining the maintenance cycle of a coal-fired unit provided in an embodiment of the present invention obtains performance data of a target duration of the coal-fired unit to be detected under an operating load and determines a first correlation between a target performance indicator of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the performance data; obtains an increase in the energy consumption cost of the coal-fired unit to be detected within the target duration and determines a second correlation between the increase in the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the first correlation; calculates a minimum increase in the operating cost of the coal-fired unit to be detected according to the second correlation and determines a maintenance time point corresponding to the minimum increase; obtains a recommissioning time point corresponding to the last maintenance cycle of the coal-fired unit to be detected and uses the interval between the recommissioning time point and the maintenance time point corresponding to the minimum increase as the maintenance cycle of the coal-fired unit to be detected. This method uses real-time performance data to determine the first correlation, thereby improving the accuracy of the data; taking into account the differences in the performance degradation laws of different coal-fired units, a "one machine, one policy" approach is adopted to determine the maintenance cycle, thereby improving the applicability of the maintenance cycle; measuring the added value of the coal-fired unit's operating cost can more comprehensively reflect the impact of different maintenance opportunities of the coal-fired unit on the economy, and using the minimum added value of the coal-fired unit's operating cost as the basis for determining the maintenance opportunity, thereby reducing the maintenance cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 is a flow chart of a method for determining a maintenance period of a coal-fired unit according to an embodiment of the present invention;

[0020] Figure 2 is a schematic diagram of the variation of heat consumption rate with operating time according to an embodiment of the present invention;

[0021] Figure 3is a schematic diagram of the variation of heat consumption rate with the load of a coal-fired unit provided in an embodiment of the present invention;

[0022] Figure 4 is a schematic diagram of the variation of the increase in the energy consumption cost of a coal-fired unit according to an embodiment of the present invention with the operating time;

[0023] Figure 5 is a structural block diagram of a device for determining a maintenance period of a coal-fired unit according to an embodiment of the present invention;

[0024] Figure 6 is a schematic diagram of the structure of a computer-readable storage medium provided according to an embodiment of the present invention;

[0025] Figure 7 is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0027] The maintenance cycle of a coal-fired power plant is related to the maintenance cost. The maintenance cost includes energy consumption cost, power supply revenue loss and maintenance fee. For units with a faster increase in energy consumption cost, the maintenance cycle is generally shortened to avoid a rapid increase in energy consumption cost; for units with a slower increase in energy consumption cost, the maintenance cycle can be extended to avoid the loss of maintenance cost and power generation revenue. Therefore, an embodiment of the present invention provides a method for determining the maintenance cycle of a coal-fired unit, such as Figure 1 As shown, the method comprises the following steps:

[0028] Step S101: Obtain the performance data of the target duration of the coal-fired unit to be tested under the operating load and determine the first correlation between the target performance index of the coal-fired unit to be tested and the operating time of the coal-fired unit to be tested based on the performance data. Specifically, first, the target duration represents any time period selected from the operating time corresponding to the normal operating process of the coal-fired unit to be tested according to actual needs; the operating load represents the sum of the rated capacities of all operating equipment (i.e., coal-fired units) under normal production conditions, including maximum operating load, average operating load and minimum operating load conditions. The performance data of coal-fired units under different operating load conditions may include:

[0029] ① Main steam pressure and temperature, feed water pressure and temperature; reheat steam flow, cold reheat steam pressure and temperature, hot reheat steam pressure and temperature, etc.;

[0030] ② Fuel consumption, heat dissipation loss, exhaust heat loss, ash physical heat loss, incomplete combustion heat loss, steam enthalpy, feed water enthalpy, etc.;

[0031] ③ Generator active power, high-voltage transformer active power, etc.;

[0032] Secondly, according to the performance data ①, it can be determined that the target performance indicator corresponding to the coal-fired unit to be tested is the turbine heat consumption rate; according to the performance data ②, it can be determined that the target performance indicator corresponding to the coal-fired unit to be tested is the boiler thermal efficiency; according to the performance data ③, it can be determined that the target performance indicator corresponding to the coal-fired unit to be tested is the power consumption rate of the corresponding coal-fired power plant.

[0033] Finally, the change rule of the target performance index with the operating time is determined according to the determined target performance index (the first correlation relationship), that is, under the same boundary conditions, as the unit operating time increases, the change trend of the corresponding target performance index is:

[0034] h=h(p,t)………………………………(1)

[0035] η g =η g (p,t)…………………………………………(2)

[0036] γ α =γ α (p,t)…………………………………………(3)

[0037] Where h is the heat rate of the steam turbine, kJ / (kW·h); η g is the boiler thermal efficiency, %; γ α is the power consumption rate of the plant, %; h(p,t), η g (p,t),γ α (p,t) is a function related to load p and runtime t.

[0038] Step S102: Obtain the added value of the energy consumption cost of the coal-fired unit to be detected within the target time range and determine the second association relationship between the added value of the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the first association relationship. Specifically, the energy consumption cost of the coal-fired unit, that is, the coal consumption of the coal-fired unit for power supply, can determine the corresponding added value of the energy consumption cost according to the determined target performance indicator, and then determine the second association relationship between the added value of the energy consumption cost and the operating time of the coal-fired unit to be detected as the operating time increases, which means that after the new unit is put into operation or the service unit is overhauled, as the operating time increases, the coal consumption of the unit for power supply under the same load gradually increases.

[0039] Step S103: Calculate the minimum increase in the operating cost of the coal-fired unit to be detected based on the second association relationship and determine the maintenance time point corresponding to the minimum increase. Specifically, first, the increase in the energy consumption cost of the coal-fired unit to be detected at different operating times can be calculated based on the second association relationship, and the corresponding increase in the operating cost at different operating times can be calculated based on the increase in the energy consumption cost. As the operating time of the coal-fired unit increases, its energy consumption level gradually increases, so the minimum value of the increase in the operating cost at different operating times can be further determined. The second association relationship represents the law of change of the increase in the energy consumption cost of the coal-fired unit with the operating time, so the minimum increase in the operating cost of the coal-fired unit to be detected can be calculated based on the second association relationship. Then, the corresponding maintenance time point can be determined based on the minimum increase in the operating cost.

[0040] Step S104: Obtain the recommissioning time point corresponding to the last maintenance cycle of the coal-fired unit to be detected and use the interval between the recommissioning time point and the maintenance time point corresponding to the minimum increase value as the maintenance cycle of the coal-fired unit to be detected. Specifically, the minimum increase value indicates that the operating cost of the coal-fired unit to be detected is the lowest, and the recommissioning time point indicates the time point corresponding to when the coal-fired unit to be detected is restarted after the last maintenance cycle. Since its energy consumption level gradually increases with the increase of the running time of the unit, the coal-fired unit to be detected achieves the best economic benefit within the interval between this time point and the maintenance time point corresponding to the obtained minimum increase value, which is the optimal maintenance cycle of the coal-fired unit to be detected.

[0041] The method for determining the maintenance cycle of a coal-fired unit provided in an embodiment of the present invention adopts real-time performance data to determine the first correlation relationship, thereby improving the accuracy of the data; taking into account the differences in the performance degradation laws of different coal-fired units, a "one machine, one policy" approach is adopted to determine the maintenance cycle, thereby improving the applicability of the maintenance cycle; measuring the added value of the operating cost of the coal-fired unit can more comprehensively reflect the impact of different maintenance opportunities of the coal-fired unit on the economy, and using the minimum added value of the operating cost of the coal-fired unit as the basis for determining the maintenance opportunity, thereby reducing the maintenance cost.

[0042] As an optional implementation manner of an embodiment of the present invention, step S101 includes: calculating the target performance indicator of the coal-fired unit to be detected based on the performance data; fitting the target performance indicator and the operating time and determining a first corresponding relationship between the target performance indicator and the operating time; and determining a first correlation relationship between the target performance indicator of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the first corresponding relationship.

[0043] First, the performance data obtained from real-time monitoring is used to calculate the corresponding target performance index. For example, the heat rate of the steam turbine represents the ratio of the heat input from the outside to the thermal cycle of the steam turbine to the output power per unit time, that is, the heat consumed by the steam turbine generator set for every 1kwh of electricity it generates. Therefore, when the performance data ① is obtained, the corresponding target performance index can be calculated as the steam turbine heat rate, where the steam turbine heat rate = the amount of heat absorbed by the steam turbine / the electric power generated by the coal-fired unit;

[0044] When the performance data of the generator active power and the high-voltage transformer active power are obtained, the corresponding power consumption rate of the coal-fired power plant can be calculated, and the power consumption rate = generator active power / high-voltage transformer active power.

[0045] Secondly, the calculated target performance index is parameter-corrected to eliminate the influence of parameter changes. Specifically, the functional relationship (ie, the first corresponding relationship) between the target performance index and the running time is determined by fitting the curve, for example, the functional relationship is a quadratic polynomial.

[0046] Finally, by controlling the deviation and determining the functional form (i.e., the specific functional expression) corresponding to the functional relationship according to the determined functional relationship, and integrating the obtained functional form, the first correlation relationship between the target performance indicator and the operating time of the coal-fired unit to be tested can be obtained.

[0047] In one embodiment, a 600MW unit is used as an example to determine the variation of the heat rate of the steam turbine with the running time and load. After the fitting curve and the deviation control processing, it can be seen from the trend line that when the influence of the load and the running time on the heat rate is a quadratic polynomial, the square value of the deviation R is greater than 0.99, which can meet the engineering calculation requirements, such as Figure 2 and Figure 3 As shown. Then, h(p,t) can be determined as the form of formula (4):

[0048] h=ap 2 t 2 +bpt 2 +cpt 2 +dpt+ep 2 +ft 2 +gp+kt+i……………(4)

[0049] Wherein, a, b, c, d, e, f, g, k, i represent coefficients; p represents the load of the coal-fired unit, MW; t represents the operating time, which can be expressed in months, m.

[0050] Among them, t 2 , t both represent different functional types determined by controlling the deviation and based on a certain functional relationship.

[0051] By monitoring enough heat rates under different loads and operating hours, the coefficients a, b, c, d, e, f, g, k, and i can be obtained, thereby determining the functional formula h(p, t) of how the heat rate changes with operating hours and load.

[0052] Similarly, by monitoring the thermal efficiency and plant power consumption rate of enough boilers under different loads and operating hours, the function formula η of the change of boiler thermal efficiency with operating hours and load can be determined. g (p, t) and the plant power consumption rate with the change of operation time and load function γ α (p,t).

[0053] As an optional implementation manner of an embodiment of the present invention, step S101 also includes: determining a preset number of load points within the operating load variation range of the coal-fired unit to be detected; determining a third correlation relationship between the performance index of each load point and the operating time of the coal-fired unit to be detected based on the performance data; clustering the third correlation relationship and determining the first correlation relationship between the target performance index of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected according to the clustering result.

[0054] Specifically, during the operation of the coal-fired unit, since the load is constantly changing, the coefficients of the binary polynomial are relatively large, that is, equation (4) is difficult to solve.

[0055] First, several load points are determined within the load variation range of the coal-fired unit to be tested. Secondly, the variation law of the performance index of each load point with the running time (the third correlation relationship) is obtained. Then, formula (4) is converted into a one-variable function to facilitate the solution, as shown in the following formula (5):

[0056]

[0057] In the formula, When the load of coal-fired unit is p i The corresponding heat rate of the steam turbine is kJ / (kW·h), which is the third relationship.

[0058] Specifically, by monitoring the change of turbine heat rate with running time under different loads That is, clustering can be solved to obtain the functional formula That is formula (5).

[0059] Similarly, formulas (2) and (3) can also be transformed into univariate functions:

[0060]

[0061]

[0062] In the formula, When the unit load is p i The corresponding boiler heat consumption rate is %, %; When the unit load is p i It corresponds to the power consumption rate of coal-fired power plants.

[0063] Furthermore, in one embodiment, the operating load of a coal-fired unit is between 30% THA and 100% THA, and a load point can be determined every 10% THA load, such as 30% THA, 40% THA, 50% THA, 60% THA, 70% THA, 80% THA, 90% THA, and 100% THA. Then, according to the real-time monitoring data, the variation law of the performance index of each load point with the operation time is determined respectively, and then the performance index of multiple load points originally between 30%THA and 100%THA is classified into a preset number of fixed load points by clustering method, which reduces the number of load points in the analysis process and avoids the influence of the constantly changing multiple loads on the solution efficiency of each performance index; for example, for any load point within 30%THA~40%THA, the variation law of the performance index of any load point with the operation time is determined, and through integration, it is found that the variation law of the load point within 25%THA~35%THA can be similar to that of 30%THA, and then the variation law of the load point within 25%THA~35%THA can be clustered into the variation law of 30%THA, and similarly, the variation law of the load point within 35%~45%THA can be clustered into the variation law of 40%THA. By simplifying the load point data, the variation law function of the turbine heat rate, boiler thermal efficiency and plant power rate with the operation time of each load point is obtained (i.e., the first correlation relationship).

[0064] As an optional implementation manner of an embodiment of the present invention, step S102 includes: determining a second corresponding relationship between the energy consumption cost of the coal-fired unit to be detected and the performance indicator corresponding to the same time according to the first corresponding relationship; determining a third corresponding relationship between the increased value of the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected according to the first corresponding relationship and the second corresponding relationship; and determining a second correlation relationship between the increased value of the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the third corresponding relationship.

[0065] First, for a coal-fired thermal power plant, the energy consumption cost of a coal-fired unit is the coal consumption of the unit, which is determined by the heat rate of the steam turbine, the thermal efficiency of the boiler, and the power consumption rate of the plant. Specifically, according to the functional formula of the change law of the heat rate of the steam turbine, the thermal efficiency of the boiler, and the power consumption rate of the plant obtained in the embodiment of step S101, the functional formula of the change law of the coal consumption of the unit can be obtained according to the following formula (8). (i.e., the second corresponding relationship):

[0066]

[0067] Where: b n is the coal consumption rate of the unit, g / (kW·h); η p It is the pipeline efficiency, which is generally taken as 99%.

[0068] Then, according to the one-variable function (Formula (4)) obtained in the embodiment of step S101, the above formula (8) is integrated with respect to load and operation time, and the increase in energy consumption cost of the coal-fired unit to be detected can be obtained as shown in the following formula (9), i.e., the third corresponding relationship:

[0069]

[0070] In the formula, C Q is the added value of the energy consumption cost of the unit during the operating time T, g; t0 is the corresponding time point when a new coal-fired unit is put into operation or an in-service unit is put into operation after maintenance.

[0071] According to the third corresponding relationship, the variation rule of the increase in the energy consumption cost of the coal-fired unit to be detected with the operating time can be determined, that is, the second correlation relationship. Specifically, the second correlation relationship can be obtained by integrating the above formula (9) through the real-time monitoring of the operating load p and the operating time t of the coal-fired unit.

[0072] Alternatively, the operating load of the coal-fired unit to be detected may be weighted within the target duration of the coal-fired unit to be detected, and the second correlation between the increased value of the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected may be determined based on the processing result.

[0073] Specifically, according to the one-variable function (Formula (5), Formula (6), Formula (7)) obtained in the embodiment of step S101, the above formula (8) is integrated by the running time, and the increase in the energy consumption cost of the coal-fired unit to be detected can be obtained as shown in the following formula (10), that is, the third corresponding relationship:

[0074]

[0075] Similarly, by integrating formula (10), the corresponding second correlation relationship can be obtained.

[0076] In one embodiment, according to equations (9) and (10), the variation law of the increase in energy consumption cost of a 600MW coal-fired unit under full load conditions with the operating time is obtained as follows: Figure 4 As shown in the figure, when the coal-fired unit is 600MW load, the increase in power coal consumption with the change curve of running time and the enclosed part of the running time is the increase in the unit energy consumption cost (i.e. Figure 4 The black part in the figure).

[0077] As an optional implementation manner of the embodiment of the present invention, the calculation of the minimum increase in the operating cost of the coal-fired unit to be detected based on the second association relationship includes: when the coal-fired unit to be detected is shut down for maintenance, obtaining the corresponding power supply revenue loss value and maintenance cost value; calculating the increase in the energy consumption cost of the coal-fired unit to be detected based on the second association relationship; determining the fourth correspondence between the increase in the operating cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the increase in the energy consumption cost of the coal-fired unit to be detected, the power supply revenue loss value and the maintenance cost value; and calculating the minimum increase in the operating cost of the coal-fired unit to be detected based on the fourth correspondence relationship.

[0078] Specifically, different maintenance time points have three main impacts on coal-fired units. First, as the operation time of coal-fired units increases, their energy consumption level gradually increases, and the coal cost per unit of power supply gradually increases; second, as the operation time of coal-fired units increases, the power supply increases accordingly, and the power supply income loss during the maintenance period is converted to the operating cost per unit of power supply during the operation time, which gradually decreases; third, as the operation time of coal-fired units increases, the maintenance cost is converted to the cost per unit of power supply during the operation time, which gradually decreases.

[0079] Therefore, firstly, the power supply revenue loss value and maintenance cost value corresponding to the shutdown and maintenance of the coal-fired unit to be detected are obtained. Among them, the power supply revenue loss value represents the revenue loss caused by the suspension of power supply during the shutdown and maintenance of the coal-fired unit, and is calculated according to the following formula:

[0080] C p =Q E ·(c g-c q )………………………………………………(11)

[0081] In the formula, C p is the power supply revenue loss value, in yuan; q E The power loss during the shutdown and maintenance period varies with time and is expressed in kWh; c g is the on-grid electricity price, which changes with time and is expressed in yuan / kWh; c q The cost of coal consumption for power supply changes over time, in units of RMB / kWh.

[0082] The maintenance cost includes labor and material costs, expressed in C d It is stated that, under normal circumstances, existing coal-fired power plants generally use a fixed value method to determine the corresponding maintenance cost value based on the capacity of the coal-fired units and the local price level. For example, a power plant's 600MW unit has a Class A maintenance cost of 35 million yuan, a Class B maintenance cost of 8 million yuan, and a Class C maintenance cost of 3 million yuan.

[0083] Then, the corresponding operating time from the start of operation to the shutdown for maintenance of the coal-fired unit to be detected is substituted into the second association relationship to calculate the increase in energy consumption cost C of the corresponding coal-fired unit to be detected. Q , and according to the increase in energy cost C Q , Power supply revenue loss value C p and maintenance cost value C d The fourth corresponding relationship between the increase in the operating cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected is determined by the following formula:

[0084]

[0085] In the formula, c s is the unit price of standard coal, yuan / g; Q T This is the relationship between the power supply of the coal-fired unit and the time of its shutdown for maintenance, kWh.

[0086] Then, the minimum increase in the operating cost of the coal-fired unit to be tested can be determined using formula (12).

[0087] Specifically, usually, when a new unit or a unit after overhaul is put into operation, for the same type of overhaul such as Class A overhaul, due to the certain overhaul time and overhaul items, the power supply income loss value and overhaul cost are usually determined. Since the operation time is short and the power supply is small when it is just put into operation, the C value is large; as the operation time increases, the power supply income loss and overhaul cost converted to the unit power supply operation cost gradually decrease, while the unit power supply operation cost caused by the increase in energy consumption cost gradually increases. Therefore, the increase in the unit power supply operation cost C has a minimum value. According to the above formula (12), the minimum increase in the operation cost of the coal-fired unit to be tested can be determined. By using the increase in the energy consumption cost of the coal-fired unit, the power supply income loss value and the overhaul cost as the increase in the operation cost of the coal-fired unit to be tested, the impact of different overhaul opportunities on the economy of the coal-fired unit to be tested can be more comprehensively reflected.

[0088] The maintenance cycle corresponding to the minimum value of C indicates that during this type of maintenance, such as Class A maintenance, the operating cost of the coal-fired unit is the lowest and the best economic benefit is achieved, which is the economical maintenance cycle.

[0089] The embodiment of the present invention also provides a device for determining the maintenance period of a coal-fired unit, such as Figure 5 As shown, the device comprises:

[0090] The first determination module 501 is used to obtain performance data of the target duration of the coal-fired unit to be detected under the operating load and determine the first correlation between the target performance index of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the performance data; for details, please refer to the relevant description of step S101 in the above method embodiment.

[0091] The second determination module 502 is used to obtain the increase in the energy consumption cost of the coal-fired unit to be detected within the target time range and determine the second correlation relationship between the increase in the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the first correlation relationship; for details, please refer to the relevant description of step S102 in the above method embodiment.

[0092] The third determination module 503 is used to calculate the minimum increase in the operating cost of the coal-fired unit to be detected according to the second association relationship and determine the maintenance time point corresponding to the minimum increase; for details, please refer to the relevant description of step S103 in the above method embodiment.

[0093] The fourth determination module 504 is used to obtain the re-commissioning time point corresponding to the last maintenance cycle of the coal-fired unit to be detected and use the interval between the re-commissioning time point and the maintenance time point corresponding to the minimum increase value as the maintenance cycle of the coal-fired unit to be detected; for details, please refer to the relevant description of step S104 in the above method embodiment.

[0094] The device for determining the maintenance cycle of a coal-fired unit provided in an embodiment of the present invention adopts real-time performance data to determine the first correlation relationship, thereby improving the accuracy of the data; taking into account the differences in the performance degradation laws of different coal-fired units, a "one machine, one policy" approach is adopted to determine the maintenance cycle, thereby improving the applicability of the maintenance cycle; the added value of the operating cost of the coal-fired unit can more comprehensively reflect the impact of different maintenance opportunities of the coal-fired unit on the economy, and the minimum added value of the operating cost of the coal-fired unit is used as the basis for determining the maintenance opportunity, thereby reducing the maintenance cost.

[0095] As an optional implementation manner of the embodiment of the present invention, the device also includes: a first calculation module, used to calculate the target performance indicator of the coal-fired unit to be detected based on the performance data; a first processing module, used to fit the target performance indicator and the operating time and determine a first corresponding relationship between the target performance indicator and the operating time; a fifth determination module, used to determine the first correlation relationship between the target performance indicator of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the first corresponding relationship.

[0096] As an optional implementation manner of the embodiment of the present invention, the device also includes: a sixth determination module, used to determine a preset number of load points within the operating load variation range of the coal-fired unit to be detected; a seventh determination module, used to determine the third correlation relationship between the performance index of each load point and the operating time of the coal-fired unit to be detected based on the performance data; a second processing module, used to cluster the third correlation relationship and determine the first correlation relationship between the target performance index of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected according to the clustering result.

[0097] As an optional implementation manner of the embodiment of the present invention, the device also includes: an eighth determination module, used to determine the second corresponding relationship between the energy consumption cost of the coal-fired unit to be detected and the performance indicator corresponding to the same time according to the first corresponding relationship; a ninth determination module, used to determine the third corresponding relationship between the increased value of the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected according to the first corresponding relationship and the second corresponding relationship; a tenth determination module, used to determine the second correlation relationship between the increased value of the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the third corresponding relationship.

[0098] As an optional implementation manner of the embodiment of the present invention, the device also includes: a third processing module, used to perform weighted processing on the operating load of the coal-fired unit to be detected within the target time range of the coal-fired unit to be detected; an eleventh determination module, used to determine the second correlation between the increased value of the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the processing result.

[0099] As an optional implementation manner of the embodiment of the present invention, the device also includes: an acquisition module, which is used to obtain the corresponding power supply revenue loss value and maintenance cost value when the coal-fired unit to be detected is shut down for maintenance; a second calculation module, which is used to calculate the increase in the energy consumption cost of the coal-fired unit to be detected according to the second association relationship; a twelfth determination module, which is used to determine the fourth corresponding relationship between the increase in the operating cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected according to the increase in the energy consumption cost of the coal-fired unit to be detected, the power supply revenue loss value and the maintenance cost value; a third calculation module, which is used to calculate the minimum increase in the operating cost of the coal-fired unit to be detected according to the fourth corresponding relationship.

[0100] For a detailed description of the functions of the device for determining the overhaul period of a coal-fired unit provided in an embodiment of the present invention, please refer to the description of the method for determining the overhaul period of a coal-fired unit in the above embodiment.

[0101] The embodiment of the present invention also provides a storage medium, such as Figure 6 As shown, a computer program 601 is stored thereon, and when the instruction is executed by the processor, the steps of the method for determining the maintenance cycle of a coal-fired unit in the above embodiment are implemented. The storage medium also stores audio and video stream data, feature frame data, interactive request signaling, encrypted data, and preset data size, etc. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (Flash Memory), a hard disk (Hard Disk Drive, abbreviated: HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0102] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0103] The embodiment of the present invention further provides an electronic device, such as Figure 7 As shown, the electronic device may include a processor 71 and a memory 72, wherein the processor 71 and the memory 72 may be connected via a bus or other means. Figure 7 The example of connecting through bus is taken in the following.

[0104] The processor 71 may be a central processing unit (CPU). The processor 71 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0105] The memory 72 is a non-transient computer-readable storage medium that can be used to store non-transient software programs, non-transient computer executable programs and modules, such as the corresponding program instructions / modules in the embodiment of the present invention. The processor 71 executes various functional applications and data processing of the processor by running the non-transient software programs, instructions and modules stored in the memory 72, that is, the method for determining the maintenance period of the coal-fired unit in the above method embodiment is realized.

[0106] The memory 72 may include a program storage area and a data storage area, wherein the program storage area may store an application required for operating the device and at least one function; the data storage area may store data created by the processor 71, etc. In addition, the memory 72 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 72 may optionally include a memory remotely arranged relative to the processor 71, and these remote memories may be connected to the processor 71 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0107] The one or more modules are stored in the memory 72 and when executed by the processor 71, perform the following steps: Figure 1 -2 is a method for determining the maintenance cycle of a coal-fired unit in the embodiment shown in FIG.

[0108] For details of the above electronic equipment, please refer to Figure 1 to Figure 2 The corresponding related descriptions and effects in the illustrated embodiments can be understood and will not be repeated here.

[0109] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for determining the maintenance period of a coal-fired unit, characterized in that: The steps include: Acquire performance data of a target duration of a coal-fired unit to be detected under an operating load, and determine a first correlation between a target performance indicator of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the performance data, wherein the operating load represents the sum of the rated capacities of all coal-fired units under normal production conditions, including maximum operating load, average operating load, and minimum operating load conditions, and the target performance indicator is one or more of a steam turbine heat rate, a boiler thermal efficiency, and a coal-fired power plant power consumption rate, and the first correlation represents a change trend of the corresponding target performance indicator as the operating time of the unit increases under the same boundary conditions; Obtaining the increased value of the energy consumption cost of the coal-fired unit to be detected within the target time range and determining a second association relationship between the increased value of the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the first association relationship, wherein the second association relationship indicates that after a new unit is put into operation or after an already-in-service unit is overhauled, as the operating time increases, the power supply coal consumption of the unit under the same load gradually increases; Calculating the minimum increase in the operating cost of the coal-fired unit to be detected according to the second association relationship and determining the maintenance time point corresponding to the minimum increase in the operating cost of the coal-fired unit to be detected, wherein the minimum increase in the operating cost indicates that the operating cost of the coal-fired unit to be detected is the minimum; Obtain the recommissioning time point corresponding to the last maintenance cycle of the coal-fired unit to be detected and use the interval between the recommissioning time point and the maintenance time point corresponding to the minimum increase value as the maintenance cycle of the coal-fired unit to be detected. The recommissioning time point represents the time point corresponding to when the coal-fired unit to be detected is started again after the end of the last maintenance cycle. The coal-fired unit to be detected has the best economic efficiency within the maintenance cycle.

2. The method according to claim 1, characterized in that: The determining, based on the performance data, a first correlation relationship between a target performance indicator of the to-be-detected coal-fired unit and an operating time of the to-be-detected coal-fired unit comprises: Calculating the target performance index of the coal-fired unit to be tested based on the performance data; Performing fitting processing on the target performance indicator and the running time and determining a first corresponding relationship between the target performance indicator and the running time; A first correlation relationship between the target performance indicator of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected is determined based on the first corresponding relationship.

3. The method according to claim 1, characterized in that: The determining, based on the performance data, a first correlation relationship between the target performance index of the to-be-detected coal-fired unit and the operating time of the to-be-detected coal-fired unit further includes: Determining a preset number of load points within the operating load variation range of the coal-fired unit to be detected; Determine, based on the performance data, a third correlation relationship between the performance index of each load point and the operating time of the coal-fired unit to be detected; The third association relationship is clustered and a first association relationship between the target performance indicator of the to-be-detected coal-fired unit and the operating time of the to-be-detected coal-fired unit is determined according to the clustering result.

4. The method according to claim 2, characterized in that: The determining, based on the first association relationship, a second association relationship between the increase in the energy consumption cost of the to-be-detected coal-fired unit and the operating time of the to-be-detected coal-fired unit comprises: Determine, according to the first corresponding relationship, a second corresponding relationship between the energy consumption cost of the coal-fired unit to be detected and the performance index corresponding to the same time; Determine a third corresponding relationship between the increase in the energy consumption cost of the to-be-detected coal-fired unit and the operating time of the to-be-detected coal-fired unit according to the first corresponding relationship and the second corresponding relationship; A second correlation relationship between the increase in the energy consumption cost of the to-be-detected coal-fired unit and the operating time of the to-be-detected coal-fired unit is determined based on the third corresponding relationship.

5. The method according to claim 3, characterized in that: The determining, based on the first association relationship, of a second association relationship between the increase in the energy consumption cost of the to-be-detected coal-fired unit and the operating time of the to-be-detected coal-fired unit further includes: Performing weighted processing on the operating load of the coal-fired unit to be detected within the target duration of the coal-fired unit to be detected; A second correlation relationship between the increase in the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected is determined according to the processing result.

6. The method according to claim 1, characterized in that The calculating the minimum increase in the operating cost of the coal-fired unit to be detected according to the second association relationship includes: When the coal-fired unit to be detected is shut down for maintenance, the corresponding power supply revenue loss value and maintenance cost value are obtained; Calculate the added value of the energy consumption cost of the coal-fired unit to be detected according to the second association relationship; Determine a fourth corresponding relationship between the increased value of the operating cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected according to the increased value of the energy consumption cost of the coal-fired unit to be detected, the power supply income loss value and the maintenance cost value; The minimum increase in the operating cost of the coal-fired unit to be detected is calculated according to the fourth corresponding relationship.

7. A device for determining the maintenance period of a coal-fired unit, characterized in that: include: a first determination module, for obtaining performance data of a target duration of a coal-fired unit to be detected under an operating load and determining a first correlation between a target performance index of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the performance data, wherein the operating load represents the sum of the rated capacities of all coal-fired units under normal production conditions, including maximum operating load, average operating load and minimum operating load conditions, and the target performance index is one or more of a steam turbine heat rate, a boiler thermal efficiency and a coal-fired power plant power consumption rate, and the first correlation represents a change trend of the corresponding target performance index as the operating time of the unit increases under the same boundary conditions; A second determination module is used to obtain the increase in the energy consumption cost of the coal-fired unit to be detected within the target time range and determine a second association relationship between the increase in the energy consumption cost of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the first association relationship, wherein the second association relationship indicates that after a new unit is put into operation or after an already-in-service unit is overhauled, as the operating time increases, the power supply coal consumption of the unit under the same load gradually increases; A third determination module is used to calculate the minimum increase value of the operating cost of the coal-fired unit to be detected according to the second association relationship and determine the maintenance time point corresponding to the minimum increase value, wherein the minimum increase value indicates that the operating cost of the coal-fired unit to be detected is the minimum; The fourth determination module is used to obtain the re-commissioning time point corresponding to the last maintenance cycle of the coal-fired unit to be detected and use the interval between the re-commissioning time point and the maintenance time point corresponding to the minimum increase value as the maintenance cycle of the coal-fired unit to be detected. The re-commissioning time point represents the time point corresponding to when the coal-fired unit to be detected is started again after the end of the last maintenance cycle. The coal-fired unit to be detected has the best economic efficiency within the maintenance cycle.

8. The device according to claim 7, characterized in that The device also includes: A first calculation module, used for calculating the target performance index of the coal-fired unit to be detected based on the performance data; A first processing module, configured to perform fitting processing on the target performance indicator and the running time and determine a first corresponding relationship between the target performance indicator and the running time; The fifth determination module is used to determine a first correlation relationship between the target performance indicator of the coal-fired unit to be detected and the operating time of the coal-fired unit to be detected based on the first corresponding relationship.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method for determining the maintenance period of a coal-fired unit as described in any one of claims 1 to 6.

10. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for determining the maintenance period of a coal-fired unit as described in any one of claims 1 to 6 by executing the computer instructions.

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