CN108133429B - Method, equipment and device for acquiring generating capacity of power generation equipment - Google Patents

Method, equipment and device for acquiring generating capacity of power generation equipment Download PDF

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CN108133429B
CN108133429B CN201711322873.4A CN201711322873A CN108133429B CN 108133429 B CN108133429 B CN 108133429B CN 201711322873 A CN201711322873 A CN 201711322873A CN 108133429 B CN108133429 B CN 108133429B
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CN108133429A (en
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金岩磊
秦冠军
姜凯
张军华
黄山峰
刘勇
李书华
甘迪
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China Three Gorges Renewables Group Co Ltd
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NR Electric Co Ltd
NR Engineering Co Ltd
China Three Gorges New Energy Co Ltd
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Abstract

The embodiment of the invention discloses a method, equipment and a device for acquiring the generating capacity of generating equipment, which are used for calculating the generating capacity of the generating equipment in any time period, and the method comprises the following steps: obtaining a current sampling value of the generating capacity of the generating equipment, and comparing the current sampling value with a last sampling value of the generating capacity of the generating equipment to obtain a numerical value change trend of the current sampling value compared with the last sampling value; according to the numerical value change trend, a preset updating mode corresponding to the numerical value change trend is adopted to sequentially update the jump compensation value and the parameter value of the generating capacity of the generating equipment at the current moment; calculating the generated energy of the generating equipment in any time period according to the jump compensation value and the parameter value of the generated energy of the generating equipment after the updating of the starting and stopping time of the time period; the method can rapidly and accurately calculate the generating capacity of the generating equipment in any time period under the condition that the generating capacity data generated in the generating equipment in any time period jump out of order and can not jump back to a normal value.

Description

Method, equipment and device for acquiring generating capacity of power generation equipment
Technical Field
The invention relates to the technical field of power generation, in particular to a method, equipment and a device for acquiring the generated energy of power generation equipment.
Background
In the prior art, generated energy data of power generation equipment can be periodically collected, and the collected data is stored in a historical database and used as basic data; for example, in an existing new energy centralized control system, the centralized control system periodically collects power generation data sent by new energy power generation equipment and stores the data into a historical database as basic original data.
After the basic original data are obtained, the statistical calculation program can calculate the power generation value of each power generation device in a certain time period according to the data. The value of the generated energy transmitted by the power generation equipment is increased along with the accumulation of the generated energy under normal conditions or is kept unchanged because the power generation equipment stops generating power; the algorithm for calculating the power generation capacity of the power generation equipment in a certain time period by the statistical calculation program is as follows: and obtaining the generated energy sampling values at the head end and the tail end of the time period, and subtracting the first end sampling value from the tail end sampling value to obtain a value which is more than or equal to zero, namely the generated energy value of the generating equipment in the time period.
However, due to the possibility of disordered jump of the generating capacity data of the generating equipment, when the generating capacity data of the generating equipment in any time period has disordered jump and cannot jump back to a normal value, the generated capacity value of the time period calculated according to the algorithm is wrong, wherein the situations that the generating capacity data has disordered jump and cannot jump back to the normal value include the following: (1) the generated energy data in the power generation equipment reaches the full code value and is automatically reversed, and the data returns to zero and starts to accumulate again; (2) the generated energy data is manually cleared and accumulated again due to the reasons of upgrading the program of the power generation equipment and the like; (3) due to other unpredictable reasons, a jump in the power generation data is caused. In the conventional metering system, aiming at the problem of wrong calculation of the generated energy caused by the situation, a post-processing method is often adopted, namely manual intervention and pre-adjustment are performed in a data source end or a calculation result, but the number of generating equipment in the generating system is huge, the jumping frequently occurs and the data jumping is disordered, so that the workload of manual adjustment is complicated and huge, and the realization is almost impossible.
Disclosure of Invention
In order to solve the existing technical problem, embodiments of the present invention desirably provide a method for acquiring power generation amount of power generation equipment, which can correctly calculate the power generation amount of the power generation equipment in any time period according to a jump compensation value and a parameter value of the power generation amount of the power generation equipment when the power generation data of the power generation equipment is lost in the time period, so as to provide reliable power generation amount data for a user.
In order to achieve the above purpose, the technical solution of the embodiment of the present invention is realized as follows:
the embodiment of the invention provides a method for acquiring the generating capacity of generating equipment, which comprises the following steps:
obtaining a current sampling value of the generating capacity of the generating equipment, and comparing the current sampling value with a last sampling value of the generating capacity of the generating equipment to obtain a numerical value change trend of the current sampling value compared with the last sampling value;
according to the numerical value change trend, a preset updating mode corresponding to the numerical value change trend is adopted, and the jump compensation value and the parameter value of the generated energy of the power generation equipment at the current moment are updated in sequence; the jump compensation value is used for offsetting the numerical value change of the generating capacity of the generating equipment caused by the jump of the generating capacity data of the generating equipment; the power generation equipment power generation capacity data jump is used for representing that: at the sampling time of the generated energy of two adjacent power generation devices, the descending amplitude of the generated energy sampling value of the power generation device exceeds a first set threshold value, or the ascending amplitude of the generated energy sampling value of the power generation device exceeds a second set threshold value;
and calculating the generated energy of the generating equipment in any time period according to the jump compensation value and the parameter value of the generated energy of the generating equipment after the start-stop time of the generating equipment is updated.
In the above scheme, the parameter values include: a non-dead number last sample value, the non-dead number last sample value to represent: a sampling value obtained based on the fact that a non-dead number change occurs to the generating capacity sampling value of the generating equipment at the last time; wherein the non-dead number change of the power generation amount sampling value of the power generation equipment is used for representing that: at the sampling time of the generated energy of two adjacent power generation devices, the descending amplitude of the generated energy sampling value of the power generation device exceeds a first set threshold value, or the ascending amplitude of the generated energy sampling value of the power generation device exceeds a third set threshold value.
In the foregoing solution, the obtaining a trend of a value change of the current sampling value compared to the last sampling value includes:
when the descending amplitude of the current sampling value compared with the last sampling value exceeds the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value exceeds the third set threshold value, determining that the numerical value change trend is non-dead number change; when the descending amplitude of the current sampling value compared with the last sampling value does not exceed the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value does not exceed the third set threshold value, or the current sampling value is equal to the last sampling value, determining that the numerical value change trend is a dead number change;
accordingly, updating the parameter value of the power generation amount of the power generation equipment to obtain the updated parameter value of the power generation amount of the power generation equipment comprises the following steps:
when the numerical value change trend is the non-dead number change, taking the current sampling value as the updated non-dead number last sampling value;
and when the numerical value change trend is the change of the dead number, keeping the non-dead number sampling value unchanged last time.
Further, the parameter values further include: refreshing time of the last sampling value of the non-dead number and the last sampling value of the non-dead number; wherein the content of the first and second substances,
the non-dead number last sampling value is used for representing that: before the sampling time of the non-dead number last sampling value, obtaining a sampling value based on the fact that the non-dead number change occurs to the generating capacity sampling value of the generating equipment at the latest time;
and the non-dead number last sampling value refreshing time is used for representing the updating time of the non-dead number last sampling value.
In the foregoing solution, the obtaining a trend of a value change of the current sampling value compared to the last sampling value includes:
when the descending amplitude of the current sampling value compared with the last sampling value exceeds the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value exceeds the third set threshold value, determining that the numerical value change trend is non-dead number change; when the descending amplitude of the current sampling value compared with the last sampling value does not exceed the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value does not exceed the third set threshold value, or the current sampling value is equal to the last sampling value, determining that the numerical value change trend is a dead number change;
accordingly, updating the parameter value of the power generation amount of the power generation equipment to obtain the updated parameter value of the power generation amount of the power generation equipment comprises the following steps:
when the numerical value change trend is non-dead number change, taking the non-dead number last sampling value as an updated non-dead number last sampling value, taking the current sampling value as an updated non-dead number last sampling value, and taking the update time of the non-dead number last sampling value as the updated non-dead number last sampling value refresh time;
and when the numerical value change trend is dead number change, keeping the refresh time of the last sampling value of the non-dead number, the last sampling value of the non-dead number and the last sampling value of the non-dead number unchanged.
Further, the non-dead number variation includes: jump up, jump down and grow normally;
accordingly, the deriving a numerical trend of the current sample value compared to the last sample value includes:
subtracting the last sampling value from the current sampling value to obtain a difference value;
when the difference is smaller than zero and the absolute value of the difference is larger than the first set threshold, determining that the numerical value change trend is downward jump;
when the difference is larger than zero, the difference is larger than the third set threshold, and the difference is smaller than or equal to the second set threshold, determining that the numerical value change trend is a normal increase;
and when the difference value is larger than the second set threshold value, determining that the numerical value change trend is jumping upwards.
In the above solution, after obtaining a trend of a value change of the current sample value compared to the last sample value, the method further includes:
when the numerical value variation trend is the downward jump, setting a downward jump mark for the current sampling value;
correspondingly, the step compensation value of the generated energy of the power generation equipment is updated to obtain the updated step compensation value, and the method comprises the following steps:
when the numerical value change trend is the downward jump, the updated jump compensation value is obtained according to the following formula: JCV (t) ═ JCV (t-1) + [1SV (t-1) -csv (t) ], wherein t is a current sampling time, t-1 is a last sampling time, JCV (t) is an updated jump compensation value, JCV (t-1) is a jump compensation value at the last sampling time, 1SV (t-1) is the non-dead number last sampling value, and csv (t) is the current sampling value;
when the numerical value change trend is the upward jump and the current sampling value has the jump-down mark, clearing the jump-down mark, and obtaining the updated jump compensation value according to the following formula: JCV (t) -JCV (t-1) + [1SV (t-1) -2SV (t-1) ], where 2SV (t-1) is the last sample of the non-dead number, which is used to represent: before the sampling time of the non-dead number last sampling value, obtaining a sampling value based on the fact that the non-dead number change occurs to the generating capacity sampling value of the generating equipment at the latest time; when the numerical value change trend is the upward jump and the current sampling value has no the down jump mark, the updated jump compensation value is obtained according to the following formula: JCV (t) ═ JCV (t-1) + [1SV (t-1) -csv (t) ];
when the numerical value change trend is the normal increase and the current sampling value has the jump-down mark, clearing the jump-down mark and keeping the jump compensation value unchanged; when the numerical value change trend is the normal increase and the current sampling value does not have the jump-down mark, keeping the jump compensation value unchanged;
and when the numerical value change trend is the change of the dead number, keeping the jump compensation value unchanged.
In the above scheme, the power generation amount of the power generation equipment in the time period is represented as: PG ═ 1SV (t)end)-1SV(tstart)]+[JCV(tend)-JCV(tstart)]Wherein PG is the power generation amount of the power generation equipment in the time period, 1SV (t)end) The last sampled value, which is an uncorrupted number of the end time of the time period, 1SV (t)start) The last sampled value, JCV (t), which is a non-dead number of the start time of the time periodend) For a jump compensation value at the end time of said time period, JCV (t)start) Compensating for a jump in the starting time of the time period.
The embodiment of the invention also provides equipment for acquiring the generating capacity of the generating equipment, which comprises: a processor and a memory; wherein the content of the first and second substances,
the memory is used for storing a computer program;
the processor is configured to execute the computer program stored in the memory to implement the steps of:
obtaining a current sampling value of the generating capacity of the generating equipment, and comparing the current sampling value with a last sampling value of the generating capacity of the generating equipment to obtain a numerical value change trend of the current sampling value compared with the last sampling value;
according to the numerical value change trend, a preset updating mode corresponding to the numerical value change trend is adopted, and the jump compensation value and the parameter value of the generated energy of the power generation equipment at the current moment are updated in sequence; the jump compensation value is used for offsetting the numerical value change of the generating capacity of the generating equipment caused by the jump of the generating capacity data of the generating equipment; the power generation equipment power generation capacity data jump is used for representing that: at the sampling time of the generated energy of two adjacent power generation devices, the descending amplitude of the generated energy sampling value of the power generation device exceeds a first set threshold value, or the ascending amplitude of the generated energy sampling value of the power generation device exceeds a second set threshold value;
and calculating the generated energy of the generating equipment in any time period according to the jump compensation value and the parameter value of the generated energy of the generating equipment after the start-stop time of the generating equipment is updated.
In the above scheme, the parameter values include: a non-dead number last sample value, the non-dead number last sample value to represent: a sampling value obtained based on the fact that a non-dead number change occurs to the generating capacity sampling value of the generating equipment at the last time; wherein the non-dead number change of the power generation amount sampling value of the power generation equipment is used for representing that: at the sampling time of the generated energy of two adjacent power generation devices, the descending amplitude of the generated energy sampling value of the power generation device exceeds a first set threshold value, or the ascending amplitude of the generated energy sampling value of the power generation device exceeds a third set threshold value.
In the foregoing solution, the processor is specifically configured to execute the computer program stored in the memory, so as to implement the following steps:
when the descending amplitude of the current sampling value compared with the last sampling value exceeds the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value exceeds the third set threshold value, determining that the numerical value change trend is non-dead number change; when the descending amplitude of the current sampling value compared with the last sampling value does not exceed the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value does not exceed the third set threshold value, or the current sampling value is equal to the last sampling value, determining that the numerical value change trend is a dead number change;
when the numerical value change trend is the non-dead number change, taking the current sampling value as the updated non-dead number last sampling value;
and when the numerical value change trend is the change of the dead number, keeping the non-dead number sampling value unchanged last time.
Further, the parameter values further include: refreshing time of the last sampling value of the non-dead number and the last sampling value of the non-dead number; wherein the content of the first and second substances,
the non-dead number last sampling value is used for representing that: before the sampling time of the non-dead number last sampling value, obtaining a sampling value based on the fact that the non-dead number change occurs to the generating capacity sampling value of the generating equipment at the latest time;
and the non-dead number last sampling value refreshing time is used for representing the updating time of the non-dead number last sampling value.
In the foregoing solution, the processor is specifically configured to execute the computer program stored in the memory, so as to implement the following steps:
when the descending amplitude of the current sampling value compared with the last sampling value exceeds the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value exceeds the third set threshold value, determining that the numerical value change trend is non-dead number change; when the descending amplitude of the current sampling value compared with the last sampling value does not exceed the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value does not exceed the third set threshold value, or the current sampling value is equal to the last sampling value, determining that the numerical value change trend is a dead number change;
when the numerical value change trend is non-dead number change, taking the non-dead number last sampling value as an updated non-dead number last sampling value, taking the current sampling value as an updated non-dead number last sampling value, and taking the update time of the non-dead number last sampling value as the updated non-dead number last sampling value refresh time;
and when the numerical value change trend is dead number change, keeping the refresh time of the last sampling value of the non-dead number, the last sampling value of the non-dead number and the last sampling value of the non-dead number unchanged.
Further, the non-dead number variation includes: jump up, jump down and grow normally;
accordingly, the processor is specifically configured to execute the computer program stored in the memory to implement the steps of:
subtracting the last sampling value from the current sampling value to obtain a difference value;
when the difference is smaller than zero and the absolute value of the difference is larger than the first set threshold, determining that the numerical value change trend is downward jump;
when the difference is larger than zero, the difference is larger than the third set threshold, and the difference is smaller than or equal to the second set threshold, determining that the numerical value change trend is a normal increase;
and when the difference value is larger than the second set threshold value, determining that the numerical value change trend is jumping upwards.
In the above solution, the processor is further configured to execute the computer program stored in the memory, so as to implement the following steps: after a numerical value change trend of the current sampling value compared with the last sampling value is obtained, when the numerical value change trend is the downward jump, a downward jump mark is set for the current sampling value;
when the numerical value change trend is the downward jump, the updated jump compensation value is obtained according to the following formula: JCV (t) ═ JCV (t-1) + [1SV (t-1) -csv (t) ], wherein t is a current sampling time, t-1 is a last sampling time, JCV (t) is an updated jump compensation value, JCV (t-1) is a jump compensation value at the last sampling time, 1SV (t-1) is the non-dead number last sampling value, and csv (t) is the current sampling value;
when the numerical value change trend is the upward jump and the current sampling value has the jump-down mark, clearing the jump-down mark, and obtaining the updated jump compensation value according to the following formula: JCV (t) -JCV (t-1) + [1SV (t-1) -2SV (t-1) ], where 2SV (t-1) is the last sample of the non-dead number, which is used to represent: before the sampling time of the non-dead number last sampling value, obtaining a sampling value based on the fact that the non-dead number change occurs to the generating capacity sampling value of the generating equipment at the latest time; when the numerical value change trend is the upward jump and the current sampling value has no the down jump mark, the updated jump compensation value is obtained according to the following formula: JCV (t) ═ JCV (t-1) + [1SV (t-1) -csv (t) ];
when the numerical value change trend is the normal increase and the current sampling value has the jump-down mark, clearing the jump-down mark and keeping the jump compensation value unchanged; when the numerical value change trend is the normal increase and the current sampling value does not have the jump-down mark, keeping the jump compensation value unchanged;
and when the numerical value change trend is the change of the dead number, keeping the jump compensation value unchanged.
In the above solution, the processor is further configured to execute the computer program stored in the memory, so as to implement the following steps:
calculating the generated energy PG of the power generation equipment in the time period by adopting the following formula: PG ═ 1SV (t)end)-1SV(tstart)]+[JCV(tend)-JCV(tstart)]Wherein PG is the power generation amount of the power generation equipment in the time period, 1SV (t)end) The last sampled value, which is an uncorrupted number of the end time of the time period, 1SV (t)start) The last sampled value, JCV (t), which is a non-dead number of the start time of the time periodend) Jump to the end time of said time periodOffset value, JCV (t)start) Compensating for a jump in the starting time of the time period.
The embodiment of the invention also provides a device for acquiring the generating capacity of the generating equipment, which comprises: the real-time data processing module and the computing module; wherein the content of the first and second substances,
the real-time data processing module is used for acquiring a current sampling value of the generating capacity of the generating equipment, and comparing the current sampling value with a last sampling value of the generating capacity of the generating equipment to obtain a numerical value change trend of the current sampling value compared with the last sampling value;
the real-time data processing module is further used for sequentially updating the jump compensation value and the parameter value of the generated energy of the power generation equipment at the current moment by adopting a preset updating mode corresponding to the numerical value change trend according to the numerical value change trend; the jump compensation value is used for offsetting the numerical value change of the generating capacity of the generating equipment caused by the jump of the generating capacity data of the generating equipment; the power generation equipment power generation capacity data jump is used for representing that: at the sampling time of the generated energy of two adjacent power generation devices, the descending amplitude of the generated energy sampling value of the power generation device exceeds a first set threshold value, or the ascending amplitude of the generated energy sampling value of the power generation device exceeds a second set threshold value;
and the calculating module is used for calculating the generated energy of the generating equipment in any time period according to the jump compensation value and the parameter value of the generated energy of the generating equipment after the start-stop time of the generating equipment is updated.
An embodiment of the present invention further provides a computer storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the method according to any one of claims 1 to 8.
The method for acquiring the generating capacity of the generating equipment provided by the embodiment of the invention judges the numerical value change trend of the generating capacity sampling value of the generating equipment at each moment, and acquires the jump compensation value and the parameter value of the generating capacity of the generating equipment at each moment according to the updating mode corresponding to the numerical value change trend under different numerical value change trends, wherein the jump compensation value can counteract the numerical value change of the generating capacity of the generating equipment caused by the jump of the generating capacity data of the generating equipment, so that when the data jump occurs in any time period and the normal generating value is not jumped back, and the actual generating capacity data of the generating equipment is lost, the generating capacity value of the generating equipment in the time period can still be quickly and accurately calculated through the jump compensation value and the parameter value at the starting and stopping time of the time period.
Drawings
Fig. 1 is a schematic flow chart of an implementation of a method for acquiring a power generation amount of a power generation device according to an embodiment of the present invention;
fig. 2 is a data communication connection diagram of a headquarters-level new energy centralized control system and a power generation device according to an embodiment of the present invention;
FIG. 3 is a flow chart of a real-time processing of sampled data of the power generation capacity of the power generation equipment according to the embodiment of the present invention;
FIG. 4 is a diagram illustrating a variation of a normal increase of power generation data of a power generation facility according to an embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a change of an upward jump of power generation amount data of a power generation device according to an embodiment of the present invention;
fig. 6 is a schematic diagram illustrating a change of a downward jump of power generation amount data of a power generation device according to an embodiment of the present invention;
fig. 7 is a schematic diagram illustrating a change of a dead number of generated energy data of a first power generation device according to an embodiment of the present invention;
fig. 8 is a schematic diagram illustrating a change of a dead number change of generated energy data of a second power generation device according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of a generating set generating capacity acquiring apparatus according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a generating apparatus generating capacity acquiring apparatus according to an embodiment of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
The power generation equipment and the acquisition equipment provided by the invention related to the power generation equipment power generation amount acquisition method provided by the invention in each embodiment include but are not limited to: provided is a new energy power generation device.
Embodiment one of the invention
An embodiment of the present invention provides a method for acquiring power generation amount of power generation equipment, and fig. 1 is a schematic flow chart illustrating an implementation of the method for acquiring power generation amount of power generation equipment provided by the embodiment of the present invention, and as shown in fig. 1, the method may include the following steps:
step 101: the method comprises the steps of obtaining a current sampling value of the generating capacity of the generating equipment, and comparing the current sampling value with a last sampling value of the generating capacity of the generating equipment to obtain a numerical value change trend of the current sampling value compared with the last sampling value.
That is, the power generation amount of the power generation equipment can be sampled to obtain a plurality of sampling values; according to the time sequence, sequentially recording N sampling values obtained by the time of the current moment as a 1 st sampling value to an Nth sampling value, wherein the Nth sampling value is a current sampling value of the generating capacity of the generating equipment, and the N-1 th sampling value is a last sampling value of the generating capacity of the generating equipment; n is an integer greater than 1.
Exemplarily, when the power generation equipment is new energy power generation equipment, the generated energy of the power generation equipment can be collected through a new energy centralized control System, fig. 2 is a data communication connection diagram of a headquarter-level new energy centralized control System and the power generation equipment provided by the embodiment of the present invention, as shown in fig. 2, the wind power generation System, the solar photovoltaic power generation System, and the like in the new energy substation send the generated energy data of the power generation equipment to a local grid-off machine through an EMS (Element Management System) System in the power generation System; the local network gateway machine pair is upwards sent to a regional centralized control center or a regional forwarding center, and the regional centralized control center or the regional forwarding center forwards the data to a headquarter centralized control system, so that the real-time collection of the generated energy data of the power generation equipment is realized. In the actual acquisition process, due to other interference factors such as manual reset zero clearing, automatic zero clearing when the generated energy data reaches the upper limit, abnormal data communication, main program refreshing and the like, the generated energy value of the power generation equipment acquired by the headquarter centralized control system is not necessarily the actual generated energy value of the power generation equipment, wherein the numerical variation trend of the generated energy data of the power generation equipment can be roughly divided into the following four types: firstly, along with the accumulation of the generated energy, the acquired generated energy data of the power generation equipment is continuously increased, and the generated energy data at the moment is in a normally increased state; secondly, as the power generation equipment does not generate power or the real-time communication is interrupted, the collected power generation data of the power generation equipment basically keeps unchanged, and the power generation data at the moment is in a state of changing dead number; thirdly, because of manual reset zero clearing, automatic zero clearing when the generated energy data reaches the upper limit or abnormal real-time communication, the generated energy data is reduced by a larger range which cannot be estimated at any moment, and the generated energy data at the moment is in a downward jumping state; fourthly, due to data communication abnormality, the power generation amount data transmits a large-amplitude rise which cannot be estimated at any time, and the power generation amount data at this time assumes a state of jumping upward.
In practical application, a current sampling value of the power generation equipment power generation amount and a last sampling value of the power generation equipment power generation amount can be compared by using a processor and other devices to obtain a numerical change trend of the current sampling value compared with the last sampling value.
Optionally, when the descending amplitude of the current sample value compared with the last sample value exceeds the first set threshold value T1, or the ascending amplitude of the current sample value compared with the last sample value exceeds the third set threshold value T3, determining that the numerical value change trend is a non-dead number change;
when the descending amplitude of the current sampling value compared with the last sampling value does not exceed the first set threshold value T1, or the ascending amplitude of the current sampling value compared with the last sampling value does not exceed the third set threshold value T3, or the current sampling value is equal to the last sampling value, determining that the numerical value change trend is a dead number change;
here, the first set threshold T1 and the third set threshold T3 are both greater than 0, and the first set threshold T1 and the third set threshold T3 may be set according to actual needs, for example, for a new energy power generation facility, the value range of T1 is 0 to 0.01kW · h, and the value range of T3 is 0 to 0.01kW · h, based on historical power generation data of the new energy power generation facility.
In practical implementation, the relationship between the current sampling value of the generating capacity of the generating equipment and the last sampling value of the generating capacity of the generating equipment can be judged firstly, and the current sampling value is subtracted by the last sampling value to obtain a first difference value; determining the numerical trend as a non-dead number change if the first difference is less than 0 and the absolute value of the first difference is greater than T1, or the first difference is greater than 0 and the first difference is greater than T3; and if the first difference is less than 0 and the absolute value of the first difference is less than or equal to T1, or the first difference is greater than 0 and the first difference is less than or equal to T3, determining that the numerical value change trend is a dead number change.
Optionally, the non-dead number variation may include: jump up, jump down and grow normally;
here, the current sampling value of the power generation amount of the power generation device minus the last sampling value of the power generation amount of the power generation device may be used to obtain a first difference value;
when the first difference is smaller than zero and the absolute value of the first difference is larger than the first set threshold value T1, determining that the numerical value change trend is a downward jump;
when the first difference value is greater than zero, the first difference value is greater than the third set threshold value T3, and the difference value is less than or equal to the second set threshold value, determining that the numerical value trend is a normal increase;
when the first difference is larger than the second set threshold value T2, determining that the numerical value trend jumps upwards;
here, the second set threshold T2 is greater than 0, and the second set threshold T2 can be set according to actual needs, for example, T2 takes the following values: t2 ═ PR× Δ t, wherein PRIs the rated capacity of the power generation equipment, and Δ t is the time difference between the current sampling time and the change ending time of the latest non-dead number change.
For example, the generated energy data of the power generation equipment is sampled from an initial time t1, and according to the time sequence, the sampling values obtained at sampling times t1, t2, t3 and t4 are sequentially recorded as a 1 st sampling value, a 2 nd sampling value, a 3 rd sampling value and a 4 th sampling value, a numerical change trend of the 2 nd sampling value compared with the 1 st sampling value is a non-dead number change, a numerical change trend of the 3 rd sampling value compared with the 2 nd sampling value is a dead number change, a numerical change trend of the 4 th sampling value compared with the 3 rd sampling value is a dead number change, then, a change ending time of a latest non-dead number change at the sampling time t2 is defaulted to be an initial time t1, a change ending time of a latest non-dead number change at the sampling time t3 is t2, and a change ending time of a latest non-dead number change at the sampling time t4 is t 2.
Further, when the numerical value change trend is downward jump, a jump-down mark is set for a current sampling value of the power generation amount of the power generation equipment.
Step 102: according to the numerical value change trend, a preset updating mode corresponding to the numerical value change trend is adopted, and the jump compensation value JCV and the parameter value of the generated energy of the power generation equipment at the current moment are updated in sequence; the jump compensation value JCV is used for offsetting the numerical value change of the generating capacity of the generating equipment caused by the jump of the generating capacity data of the generating equipment; generating equipment power generation capacity data jump is used for representing that: at the sampling time of the power generation amounts of the two adjacent power generation devices, the falling range of the power generation amount sampling value of the power generation device exceeds the first set threshold value T1, or the rising range of the power generation amount sampling value of the power generation device exceeds the second set threshold value T2.
In actual implementation, corresponding updating modes can be preset according to various numerical value change trends;
optionally, when the variation trend of the numerical value is a dead number variation, it may be approximately considered that a current sampling value of the power generation amount of the power generation equipment is consistent with a last sampling value of the power generation amount of the power generation equipment, so that the jump compensation value and the parameter value of the power generation amount of the power generation equipment are not updated, and both the jump compensation value and the parameter value of the power generation amount of the power generation equipment are kept unchanged; updating the jump compensation value and the parameter value of the power generation amount of the power generation equipment only when the numerical value change trend is non-dead number change, namely the numerical value change trend is downward jump, normal increase or upward jump;
wherein the parameter value of the power generation amount of the power generation equipment at least includes: the non-dead number last sampling value 1SV, the non-dead number last sampling value 1SV of the power generation amount of the power generating equipment are used to represent: and the sampling value is obtained based on the non-dead number change of the latest generation amount sampling value of the power generation equipment.
Illustratively, according to the chronological order, the sampling values obtained at the sampling times t1, t2, t3 and t4 are sequentially recorded as a 1 st sampling value, a 2 nd sampling value, a 3 rd sampling value and a 4 th sampling value, the numerical variation trend of the 2 nd sampling value compared with the 1 st sampling value is a non-dead number variation, the numerical variation trend of the 3 rd sampling value compared with the 2 nd sampling value is a dead number variation, the numerical variation trend of the 4 th sampling value compared with the 3 rd sampling value is a dead number variation, and then the non-dead number sampling value at the sampling time t4 is the 2 nd sampling value last time.
Optionally, when the trend of the numerical value changes to jump downwards, the updated jump compensation value is expressed as: JCV (t) (+ JCV (t-1)) + 1SV (t-1) -csv (t) ], wherein t is the current sampling time, t-1 is the last sampling time, JCV (t) is the updated jump compensation value, JCV (t-1) is the jump compensation value at the last sampling time, 1SV (t-1) is the non-dead number last sampling value at the last sampling time, and csv (t) is the current sampling value of the power generation amount of the power generation equipment;
when the numerical value change trend is upward jump and the current sampling value of the generating capacity of the generating equipment has a jump-down mark, the jump-down mark is cleared, and the updated jump compensation value is represented as: JCV (t) ═ JCV (t-1) + [1SV (t-1) -2SV (t-1) ], where 2SV (t-1) is the last sample value of the non-dead number, and the last sample value of the non-dead number is used to indicate: before the sampling time of the last sampling value of the non-dead number, obtaining a sampling value based on the fact that the non-dead number change occurs to the last sampling value of the generated energy of the power generation equipment; when the numerical value change trend is an upward jump and the current sampling value has no down jump mark, the updated jump compensation value is represented as: JCV (t) ═ JCV (t-1) + [1SV (t-1) -csv (t) ];
when the numerical value change trend is normal increase and the current sampling value of the generating capacity of the generating equipment has a jump mark, the jump mark is cleared, and the jump compensation value of the generating capacity of the generating equipment is kept unchanged; and when the numerical value change trend is normal increase and the current sampling value of the generating capacity of the generating equipment has no jump mark, keeping the jump compensation value of the generating capacity of the generating equipment unchanged.
Alternatively, when the number value change trend is a dead number change, the non-dead number last sampling value of the power generation amount of the power generation equipment is kept unchanged, that is, 1SV (t) is 1SV (t-1), where 1SV (t) is an updated non-dead number last sampling value;
when the numerical value change trend is non-dead number change, the updated non-dead number last sampling value is represented as: 1sv (t) ═ csv (t).
Step 103: and calculating the generated energy of the generating equipment in any time period according to the jump compensation value and the parameter value of the generated energy of the generating equipment after the start-stop time of the generating equipment is updated.
Specifically, the amount of power generation PG of the power generation device in any one time period is calculated, and the start time t of the time period is obtainedstartUpdated jump compensation value JCV (t)start) And the non-dead number last sampled value 1SV (t)start) End time t of the periodendUpdated jump compensation value JCV (t)end) And the non-dead number last sampled value 1SV (t)end) And the power generation amount PG of the power generation device in the period is expressed as: PG ═ 1SV (t)end)-1SV(tstart)]+[JCV(tend)-JCV(tstart)]。
Therefore, in the embodiment of the invention, the numerical change trend of the generated energy sampling value of the generating equipment at each moment is judged, and under different numerical change trends, the jump compensation value and the parameter value of the generated energy of the generating equipment at each moment are obtained according to the updating mode corresponding to the numerical change trend, and the jump compensation value can counteract the numerical change of the generated energy of the generating equipment caused by the jump of the generated energy data of the generating equipment, so that the data jump occurs in any time period to cause the loss of the actual generated energy data of the generating equipment, and the generated energy value of the generating equipment in the time period can still be accurately and quickly calculated through the jump compensation value and the parameter value at the starting and ending time of the time period.
Embodiment two of the invention
In order to further embody the object of the present invention, a further example is provided on the basis of the first embodiment of the present invention.
The embodiment of the invention provides a method for acquiring the generating capacity of generating equipment, which comprises the following steps:
step 201: the implementation manner is the same as that of step 101, and is not described herein again.
Step 202: according to the numerical value change trend, a preset updating mode corresponding to the numerical value change trend is adopted, and the jump compensation value JCV and the parameter value of the generated energy of the power generation equipment at the current moment are updated in sequence; the jump compensation value JCV is used for offsetting the numerical value change of the generating capacity of the generating equipment caused by the jump of the generating capacity data of the generating equipment; generating equipment power generation capacity data jump is used for representing that: at the sampling time of the power generation amounts of the two adjacent power generation devices, the falling range of the power generation amount sampling value of the power generation device exceeds the first set threshold value T1, or the rising range of the power generation amount sampling value of the power generation device exceeds the second set threshold value T2.
Wherein the parameter value of the power generation amount of the power generation equipment at least includes: the sampling method comprises the steps that a non-dead number last sampling value 1SV, a non-dead number last sampling value 2SV and non-dead number last sampling value refreshing time UT are obtained, the non-dead number last sampling value 2SV of the power generation amount of power generation equipment is used for representing, and sampling values obtained based on the fact that the non-dead number change occurs in the last time in the power generation amount sampling values of the power generation equipment before the sampling time of the non-dead number last sampling value; the non-dead number last sampling value refresh time UT of the generating capacity of the generating equipment is used for representing the update time of the non-dead number last sampling value.
Illustratively, according to the chronological order, the sampling values obtained at the sampling times t1, t2, t3, t4 and t5 are sequentially recorded as a 1 st sampling value, a 2 nd sampling value, a 3 rd sampling value, a 4 th sampling value and a 5 th sampling value, the numerical variation trend of the 2 nd sampling value compared with the 1 st sampling value is a non-dead number variation, the numerical variation trend of the 3 rd sampling value compared with the 2 nd sampling value is a non-dead number variation, the numerical variation trend of the 4 th sampling value compared with the 3 rd sampling value is a dead number variation, then, the non-dead number last sampling value at the sampling time t5 is the 3 rd sampling value, the non-dead number last time at the sampling time t5 is the 2 nd sampling value, and the non-dead number last time at the sampling time t5 is t 3.
Optionally, when the trend of change of the number value is a change of the dead number, keeping an un-dead number last sampling value 2SV, an un-dead number last sampling value 1SV and an un-dead number last sampling value refresh time UT of the power generation amount of the power generation equipment unchanged, that is, 2SV (t) -2SV (t-1), 1SV (t) -1 SV (t-1) and UT (t) -UT (t-1), where 2SV (t) is the updated un-dead number last sampling value, 1SV (t) is the updated un-dead number last sampling value, UT (t) is the updated un-dead number last sampling value refresh time, and UT (t-1) is the un-dead number last sampling value refresh time at the last sampling time;
when the numerical value variation trend is non-dead number variation, sequentially updating a non-dead number last sampling value 2SV, a non-dead number last sampling value 1SV and a non-dead number last sampling value refreshing time UT of the generated energy of the power generation equipment, wherein the non-dead number last sampling value 2SV, the non-dead number last sampling value 1SV and the non-dead number last sampling value refreshing time UT of the generated energy of the updated power generation equipment are respectively represented as follows: SV (1) and SV (t-1) are 2SV (t), (t) and SV (csv) (t) and ut (t) and t.
Step 203: the implementation manner is the same as that of step 103, and is not described herein again.
Therefore, in the embodiment of the invention, the numerical change trend of the generated energy sampling value of the generating equipment at each moment is judged, and under different numerical change trends, the jump compensation value and the parameter value of the generated energy of the generating equipment at each moment are obtained according to the updating mode corresponding to the numerical change trend, wherein the jump compensation value can counteract the numerical change of the generated energy of the generating equipment caused by the jump of the generated energy data of the generating equipment, so that the data jump occurs in any time period to cause the loss of the actual generated energy data of the generating equipment, and the generated energy value of the generating equipment in the time period can still be accurately and quickly calculated through the jump compensation value and the parameter value at the starting and ending time of the time period.
Embodiment three of the invention
In order to further embody the object of the present invention, the above embodiments of the present invention are further illustrated.
The embodiment of the invention provides a method for acquiring the generating capacity of generating equipment.
Fig. 3 is a flowchart of a process of processing sampled data of a power generation amount of a power generation device in real time according to an embodiment of the present invention, and as shown in fig. 3, a process of processing sampled data of a power generation amount of a power generation device in real time includes the following steps:
301, acquiring a current sampling value of the generating capacity of the generating equipment;
step 302, judging whether the numerical value change trend is downward jump, if so, executing step 303, otherwise, executing step 306;
step 303, setting a data down-jump flag, and executing step 304;
step 304, obtaining an updated jump compensation value jcv (t) according to the following formula: JCV (t-1) + [1SV (t-1) -csv (t) ], executing step 305;
step 305, sequentially updating the last sampling value of the non-dead number, the last sampling value of the non-dead number and the refreshing time of the last sampling value of the non-dead number, and obtaining the updated last sampling value 2SV (t) of the non-dead number according to the following formula: 2SV (t) is 1SV (t-1), and the updated non-dead number previous sample value 1SV (t) is obtained according to the following equation: 1sv (t) ═ csv (t), updated non-dead number last sample value refresh time ut (t) is obtained according to the following equation: ut (t) ═ t, then step 301 is performed;
step 306, judging whether the numerical value change trend is normal increase, if so, executing step 307, otherwise, executing step 309;
step 307, judging whether a data down-jump mark exists, if so, executing step 308, otherwise, executing step 305;
step 308, clearing the data down-jump mark, and then executing step 305;
step 309, judging whether the numerical value change trend jumps upwards, if so, executing step 311, otherwise, indicating that the numerical value change trend is a dead number change, and executing step 310;
step 310: jumping compensation value, last sampling value of non-dead number and refresh time of last sampling value of non-dead number are kept unchanged, namely JCV (t) ═ JCV (t-1), 2SV (t) ═ 2SV (t-1), 1SV (t) ═ 1SV (t-1) and UT (t) ═ UT (t-1), and then step 301 is executed;
step 311, judging whether a data down-jump mark exists, if so, executing step 312, otherwise, executing step 313;
step 312, obtaining the updated jump compensation value jcv (t) according to the following formula: JCV (t) -JCV (t-1) + [1SV (t-1) -2SV (t-1) ], and then step 308 is performed;
step 313, obtaining the updated jump compensation value jcv (t) according to the following formula: JCV (t-1) + [1SV (t-1) -csv (t) ], and then step 305 is performed.
Therefore, in the embodiment of the invention, the sampled data of the generating capacity of the generating equipment is processed in real time by utilizing equipment such as a processor and the like to obtain the jump compensation value and the parameter value of the generating capacity of the generating equipment, the jump compensation value and the parameter value of the generating capacity of the generating equipment are stored in the historical database to be used as basic data, and the generating capacity value of the generating equipment in any time period is calculated according to the basic data.
Example four of the invention
In order to further embody the object of the present invention, the present invention is further exemplified on the basis of the above-described embodiments of the present invention.
The embodiment of the invention provides a method for acquiring the generating capacity of generating equipment, which is characterized in that the sampling value of the generating capacity of the generating equipment acquired at each sampling moment is judged to acquire the change trend of a numerical value, and the jump compensation value and the parameter value of the generating capacity of the generating equipment at each sampling moment are acquired by adopting an updating mode corresponding to the change trend of the numerical value.
Fig. 4 is a schematic diagram of a change of normal increase of power generation data of a power generation device according to an embodiment of the present invention, where an abscissa represents a power generation sampling time of the power generation device, the sampling time is in seconds(s), an ordinate represents a power generation amount value of the power generation device, and the power generation amount value of the power generation device is in kilowatt-hour (kW · h); fig. 5 is a schematic diagram of a change of upward jump of power generation data of a power generation device according to an embodiment of the present invention, where an abscissa is a sampling time of power generation of the power generation device, a unit of the sampling time is second(s), an ordinate is a power generation amount value of the power generation device, and a unit of the power generation amount value of the power generation device is kilowatt-hour (kW · h), as shown in fig. 5, the power generation data of the power generation device makes an upward jump, and at this time, a change process of the power generation data of the power generation device includes the following stages: a normal growth phase (phase 1), an upward jump phase (phase 2), and a normal growth phase (phase 3);
wherein, the starting time and the ending time of the phase 1 are respectively marked as t0And t1The start time and the end time of phase 2 are respectively marked as t1And t2The start time and the end time of phase 3 are respectively marked as t2And t3
It can be seen that, in phase 1, the sampled values of the power generation amount of the power generation equipment can be processed according to step 301, step 302, step 306, step 307 and step 305 in sequence; obtaining a jump compensation value JCV (t) which remains unchanged at the end time of phase 11):JCV(t1)=JCV(t0) Updated number of non-dead times previous sample value 1SV (t)1):1SV(t1)=CSV(t1);
When the phase 2 is entered, the sampled value of the power generation facility power generation amount may be processed in the order of step 301, step 302, step 306, step 309, step 311, step 313, and step 305; obtaining an updated jump compensation value JCV (t) at the end time of phase 22):JCV(t2)=JCV(t1)+[1SV(t1)-CSV(t2)]Updated number of non-dead times previous sample value 1SV (t)2):1SV(t2)=CSV(t2);
When entering phase 3, the sampled value of the power generation facility power generation amount may be processed in accordance with step 301, step 302, step 306, step 307, and step 305 in this order; at the end time of phase 3, obtainJump compensation value JCV (t) kept constant3):JCV(t3)=JCV(t2) Updated number of non-dead times previous sample value 1SV (t)3):1SV(t3)=CSV(t3);
The calculation formula of the generated energy PG of the power generation equipment in any time period is as follows: PG ═ 1SV (t)end)-1SV(tstart)]+[JCV(tend)-JCV(tstart)]Calculating t1-t3Power generation amount PG (t) of power generation equipment in time period1,3):PG(t1,3)=[1SV(t3)-1SV(t1)]+[JCV(t3)-JCV(t1)]=CSV(t3)-CSV(t1)+CSV(t1)-CSV(t2) It can be seen that even at t1-t3Data jumping occurs in a time period to cause the loss of actual generated energy data of the generating equipment, the jumping compensation value at the starting and ending time of the time period offsets the numerical value change of the generated energy of the generating equipment caused by the upward jumping of the generated energy data of the generating equipment, and the time of the upward jumping is usually very short and can be approximate to a sampling interval of the generated energy of the generating equipment; therefore, the calculated power generation amount value of the power generation device in the period is almost equal to the actual power generation amount value of the power generation device in the period.
Therefore, in the embodiment of the invention, the acquired sampling data of the generating capacity of the generating equipment jump upwards at any sampling interval, and the jump compensation value and the parameter value of the generating capacity of the generating equipment are acquired by adopting the updating mode corresponding to the numerical value change trend, wherein the jump compensation value can counteract the numerical value change of the generating capacity of the generating equipment caused by the upwards jump of the generating capacity data of the generating equipment, so that the influence on the accuracy of calculating the generating capacity value of the generating equipment in any time period when the upwards jump occurs in the time period is avoided.
Example five of the invention
In order to further embody the object of the present invention, the above embodiments of the present invention are further illustrated.
Fig. 6 is a schematic diagram of a change of downward jump of power generation data of a power generation device according to an embodiment of the present invention, where an abscissa is a sampling time of power generation of the power generation device, a unit of the sampling time is second(s), an ordinate is a power generation amount value of the power generation device, and a unit of the power generation amount value of the power generation device is kilowatt-hour (kW · h), as shown in fig. 6, the power generation data of the power generation device jumps downward, and at this time, a change process of the power generation data of the power generation device includes the following stages: a normal growth phase (phase 1), a downward jump phase (phase 2), and a normal growth phase (phase 3);
wherein, the starting time and the ending time of the phase 1 are respectively marked as t0And t1The start time and the end time of phase 2 are respectively marked as t1And t2The start time and the end time of phase 3 are respectively marked as t2And t3
It can be seen that, in phase 1, the sampled values of the power generation amount of the power generation equipment can be processed according to step 301, step 302, step 306, step 307 and step 305 in sequence; obtaining a jump compensation value JCV (t) which remains unchanged at the end time of phase 11):JCV(t1)=JCV(t0) Updated number of non-dead times previous sample value 1SV (t)1):1SV(t1)=CSV(t1);
When entering phase 2, the sampled value of the power generation facility power generation amount may be processed in accordance with step 301, step 302, step 303, step 304, and step 305 in this order, at which time the data is set with a skip-down flag; obtaining an updated jump compensation value JCV (t) at the end time of phase 22):JCV(t2)=JCV(t1)+[1SV(t1)-CSV(t2)]Updated number of non-dead times previous sample value 1SV (t)2):1SV(t2)=CSV(t2);
When entering phase 3, the sampled value of the power plant power generation amount may be processed in accordance with steps 301, 302, 306, 307, and 305 in order, at which time the skip-down flag set at phase 2 is cleared; at the end of phase 3, a jump compensation value JCV (t) is obtained that remains constant3):JCV(t3)=JCV(t2) Updated number of non-dead times previous sample value 1SV (t)3):1SV(t3)=CSV(t3);
The calculation formula of the generated energy PG of the power generation equipment in any time period is as follows: PG ═ 1SV (t)end)-1SV(tstart)]+[JCV(tend)-JCV(tstart)]Calculating t1-t3Power generation amount PG (t) of power generation equipment in time period1,3):PG(t1,3)=[1SV(t3)-1SV(t1)]+[JCV(t3)-JCV(t1)]=CSV(t3)-CSV(t1)+CSV(t1)-CSV(t2) It can be seen that even at t1-t3Data jumping occurs in a time period to cause the loss of actual generated energy data of the generating equipment, the jumping compensation value at the starting and ending time of the time period offsets the numerical value change of the generated energy of the generating equipment caused by the downward jumping of the generated energy data of the generating equipment, and the downward jumping time is usually very short and can be approximate to a sampling interval of the generated energy of the generating equipment; therefore, the calculated power generation amount value of the power generation device in the period is almost equal to the actual power generation amount value of the power generation device in the period.
Therefore, in the embodiment of the invention, the acquired sampling data of the generating capacity of the generating equipment jumps downwards at any sampling interval, and the jump compensation value and the parameter value of the generating capacity of the generating equipment are acquired by adopting the updating mode corresponding to the numerical value change trend, wherein the jump compensation value can counteract the numerical value change of the generating capacity of the generating equipment caused by the downward jump of the generating capacity data of the generating equipment, so that the influence on the accuracy of calculating the generating capacity value of the generating equipment in any time period when the downward jump occurs in the time period is avoided.
Sixth embodiment of the invention
In order to further embody the object of the present invention, the above embodiments of the present invention are further illustrated.
Fig. 7 is a schematic diagram illustrating a change of dead number change of power generation data of a first power generation facility according to an embodiment of the present invention, where an abscissa is a sampling time of power generation amount of the power generation facility, a unit of the sampling time is second(s), an ordinate is a power generation amount value of the power generation facility, and a unit of the power generation amount value of the power generation facility is kilowatt-hour (kW · h), as shown in fig. 7, when a change process of the power generation amount data of the power generation facility includes the following stages: a normal growth stage (stage 1), a downward jump stage (stage 2), a dead number change stage (stage 3), an upward jump stage (stage 4) and a normal growth stage (stage 5);
wherein, the starting time and the ending time of the phase 1 are respectively marked as t0And t1The start time and the end time of phase 2 are respectively marked as t1And t2The start time and the end time of phase 3 are respectively marked as t2And t3The start time and the end time of phase 4 are respectively marked as t3And t4The start time and the end time of phase 5 are respectively denoted as t4And t5
It can be seen that, in phase 1, the sampled values of the power generation amount of the power generation equipment can be processed according to step 301, step 302, step 306, step 307 and step 305 in sequence; obtaining a jump compensation value JCV (t) which remains unchanged at the end time of phase 11):JCV(t1)=JCV(t0) The last sampled value 2SV (t) of the updated non-dead number1):2SV(t1)=1SV(t0) Updated number of non-dead times previous sample value 1SV (t)1):1SV(t1)=CSV(t1);
When entering phase 2, the sampled value of the power generation facility power generation amount may be processed in accordance with step 301, step 302, step 303, step 304, and step 305 in this order, at which time the data is set with a skip-down flag; obtaining an updated jump compensation value JCV (t) at the end time of phase 22):JCV(t2)=JCV(t1)+[1SV(t1)-CSV(t2)]The last sampled value 2SV (t) of the updated non-dead number2):2SV(t2)=1SV(t1) (ii) a Updated number of non-dead times previous sampling value 1SV (t)2):1SV(t2)=CSV(t2);
When the phase 3 is entered, the power generation amount of the power generation facility may be sequentially performed in accordance with step 301, step 302, step 306, step 309, and step 310Processing the sampling value; obtaining a jump compensation value JCV (t) which remains unchanged at the end time of phase 33):JCV(t3)=JCV(t2) Last sampled value 2SV (t) over a non-dead number which remains unchanged3):2SV(t3)=2SV(t2) The number of non-dead times remaining unchanged the last sampled value 1SV (t)3):1SV(t3)=1SV(t2);
When entering phase 4, the sampled value of the power plant power generation amount may be processed in accordance with step 301, step 302, step 306, step 309, step 311, step 312, step 308, and step 305 in this order, at which time the skip-down flag set at phase 2 is cleared; obtaining an updated jump compensation value JCV (t) at the end time of phase 44):JCV(t4)=JCV(t3)+[1SV(t3)-2SV(t3)]Updated number of non-dead times previous sample value 1SV (t)4):1SV(t4)=CSV(t4);
When entering phase 5, the sampled value of the power generation facility power generation amount may be processed in accordance with step 301, step 302, step 306, step 307, and step 305 in this order; at the end of phase 5, a jump compensation value JCV (t) is obtained which remains constant5):JCV(t5)=JCV(t4) Updated number of non-dead times previous sample value 1SV (t)5):1SV(t5)=CSV(t5);
The calculation formula of the generated energy PG of the power generation equipment in any time period is as follows: PG ═ 1SV (t)end)-1SV(tstart)]+[JCV(tend)-JCV(tstart)]Calculating t1-t5Power generation amount PG (t) of power generation equipment in time period1,5):PG(t1,5)=[1SV(t5)-1SV(t1)]+[JCV(t5)-JCV(t1)]=CSV(t5)-CSV(t1) It can be seen that at t1-t5Generating a dead number change in a time period and then jumping upwards, recovering the generated energy data of the generating equipment, and calculating that the generated energy value of the generating equipment in the time period is equal to the generated energy value of the generating equipment in the time period according to the jumping compensation value and the parameter value of the generated energy of the generating equipmentAnd (4) actual power generation value.
Therefore, in the embodiment of the invention, the acquired sampling data of the generating capacity of the generating equipment has the dead number change, the jump compensation value and the parameter value of the generating capacity of the generating equipment are acquired by adopting the updating mode corresponding to the numerical value change trend, the dead number change occurs in any time period, and the generating capacity value of the generating equipment in the time period can be correctly calculated through the jump compensation value and the parameter value.
Seventh embodiment of the invention
In order to further embody the object of the present invention, the above embodiments of the present invention are further illustrated.
Fig. 8 is a schematic diagram illustrating a change of dead number change of power generation data of a second power generation facility according to an embodiment of the present invention, where an abscissa is a sampling time of power generation amount of the power generation facility, a unit of the sampling time is second(s), an ordinate is a power generation amount value of the power generation facility, and a unit of the power generation amount value of the power generation facility is kilowatt-hour (kW · h), as shown in fig. 8, when a change process of the power generation amount data of the power generation facility includes the following stages: a normal growth phase (phase 1), a dead number change phase (phase 2), a normal growth phase (phase 3) and a normal growth phase (phase 4);
wherein, the starting time and the ending time of the phase 1 are respectively marked as t0And t1The start time and the end time of phase 2 are respectively marked as t1And t2The start time and the end time of phase 3 are respectively marked as t2And t3The start time and the end time of phase 4 are respectively marked as t3And t4
It can be seen that, in phase 1, the sampled values of the power generation amount of the power generation equipment can be processed according to step 301, step 302, step 306, step 307 and step 305 in sequence; obtaining a jump compensation value JCV (t) which remains unchanged at the end time of phase 11):JCV(t1)=JCV(t0) Updated number of non-dead times previous sample value 1SV (t)1):1SV(t1)=CSV(t1) Updated non-dead number last sampling value refresh time UT (t)1)=t1
When entering phase 2, the sampled value of the power generation amount of the power generation equipment may be processed in the order of step 301, step 302, step 306, step 309 and step 310; obtaining a jump compensation value JCV (t) which remains unchanged at the end time of phase 22):JCV(t2)=JCV(t1) The number of non-dead times remaining unchanged the last sampled value 1SV (t)2):1SV(t2)=1SV(t1) The non-dead number remaining unchanged the last sampled value refresh time UT (t)2)=UT(t1);
When entering phase 3, the sampled value of the power generation facility power generation amount may be processed in accordance with step 301, step 302, step 306, step 307, and step 305 in this order; obtaining a jump compensation value JCV (t) which remains unchanged at the end time of phase 33):JCV(t3)=JCV(t2) Updated number of non-dead times previous sample value 1SV (t)3):1SV(t3)=CSV(t3);
When entering phase 4, the sampled value of the power generation facility power generation amount may be processed in accordance with step 301, step 302, step 306, step 307, and step 305 in this order; at the end of phase 4, a jump compensation value JCV (t) is obtained which remains unchanged4):JCV(t4)=JCV(t3) Updated number of non-dead times previous sample value 1SV (t)4):1SV(t4)=CSV(t4);
The calculation formula of the generated energy PG of the power generation equipment in any time period is as follows: PG ═ 1SV (t)end)-1SV(tstart)]+[JCV(tend)-JCV(tstart)]Calculating t1-t4Power generation amount PG (t) of power generation equipment in time period1,4):PG(t1,4)=[1SV(t4)-1SV(t1)]+[JCV(t4)-JCV(t1)]=CSV(t4)-CSV(t1) It can be seen that at t1-t4The number of the dead times changes in the time period and then increases upwards, the generated energy data of the power generation equipment is recovered, and the generated energy of the power generation equipment in the time period is calculated according to the jump compensation value and the parameter value of the generated energy of the power generation equipmentThe value is equal to the actual power generation value of the power generation equipment in the time period.
Therefore, in the embodiment of the invention, the acquired sampling data of the generating capacity of the generating equipment has the dead number change, the jump compensation value and the parameter value of the generating capacity of the generating equipment are acquired by adopting the updating mode corresponding to the numerical value change trend, the dead number change occurs in any time period, and the generating capacity value of the generating equipment in the time period can be correctly calculated through the jump compensation value and the parameter value.
Eighth embodiment of the invention
In order to further embody the purpose of the present invention, the following examples of the method of the present invention are further illustrated.
An embodiment of the present invention provides an apparatus for acquiring power generation amount of power generation equipment, and fig. 9 is a schematic structural diagram of the apparatus for acquiring power generation amount of power generation equipment provided in the embodiment of the present invention, and as shown in fig. 9, the apparatus may include: a real-time data processing module 901 and a calculating module 902; wherein the content of the first and second substances,
the real-time data processing module 901 is configured to obtain a current sampling value of power generation amount of a power generation device, compare the current sampling value with a last sampling value of the power generation amount of the power generation device, and obtain a numerical value change trend of the current sampling value compared with the last sampling value;
the real-time data processing module 901 is further configured to sequentially update the jump compensation value and the parameter value of the power generation amount of the power generation equipment at the current time in a preset update mode corresponding to the numerical value change trend according to the numerical value change trend; the jump compensation value is used for offsetting the numerical value change of the generating capacity of the generating equipment caused by the jump of the generating capacity data of the generating equipment; the power generation equipment power generation capacity data jump is used for representing that: at the sampling time of the generated energy of two adjacent power generation devices, the descending amplitude of the generated energy sampling value of the power generation device exceeds a first set threshold value, or the ascending amplitude of the generated energy sampling value of the power generation device exceeds a second set threshold value;
and a calculating module 902, configured to calculate the power generation amount of the power generation equipment in any time period according to the updated jump compensation value and parameter value of the power generation amount of the power generation equipment at the start-stop time of the time period.
Optionally, the parameter values include: a non-dead number last sample value, the non-dead number last sample value to represent: a sampling value obtained based on the fact that a non-dead number change occurs to the generating capacity sampling value of the generating equipment at the last time; wherein the non-dead number change of the power generation amount sampling value of the power generation equipment is used for representing that: at the sampling time of the generated energy of two adjacent power generation devices, the descending amplitude of the generated energy sampling value of the power generation device exceeds a first set threshold value, or the ascending amplitude of the generated energy sampling value of the power generation device exceeds a third set threshold value.
Optionally, the real-time data processing module 901 is specifically configured to determine that the numerical value change trend is a non-dead number change when a falling amplitude of the current sampling value compared to the last sampling value exceeds the first set threshold, or a rising amplitude of the current sampling value compared to the last sampling value exceeds the third set threshold; when the descending amplitude of the current sampling value compared with the last sampling value does not exceed the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value does not exceed the third set threshold value, or the current sampling value is equal to the last sampling value, determining that the numerical value change trend is a dead number change;
when the numerical value change trend is the non-dead number change, taking the current sampling value as the updated non-dead number last sampling value; and when the numerical value change trend is the change of the dead number, keeping the non-dead number sampling value unchanged last time.
Further, the parameter values further include: refreshing time of the last sampling value of the non-dead number and the last sampling value of the non-dead number; wherein the non-dead last sample value is used to represent: before the sampling time of the non-dead number last sampling value, obtaining a sampling value based on the fact that the non-dead number change occurs to the generating capacity sampling value of the generating equipment at the latest time; and the non-dead number last sampling value refreshing time is used for representing the updating time of the non-dead number last sampling value.
Optionally, the real-time data processing module 901 is specifically configured to determine that the numerical value change trend is a non-dead number change when a falling amplitude of the current sampling value compared to the last sampling value exceeds the first set threshold, or a rising amplitude of the current sampling value compared to the last sampling value exceeds the third set threshold; when the descending amplitude of the current sampling value compared with the last sampling value does not exceed the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value does not exceed the third set threshold value, or the current sampling value is equal to the last sampling value, determining that the numerical value change trend is a dead number change;
when the numerical value change trend is non-dead number change, taking the non-dead number last sampling value as an updated non-dead number last sampling value, taking the current sampling value as an updated non-dead number last sampling value, and taking the update time of the non-dead number last sampling value as the updated non-dead number last sampling value refresh time; and when the numerical value change trend is dead number change, keeping the refresh time of the last sampling value of the non-dead number, the last sampling value of the non-dead number and the last sampling value of the non-dead number unchanged.
Further, the non-dead number variation includes: jump up, jump down and grow normally;
optionally, the real-time data processing module 901 is specifically configured to subtract the non-dead number last sampling value from the current sampling value to obtain a difference value; when the difference is smaller than zero and the absolute value of the difference is larger than the first set threshold, determining that the numerical value change trend is downward jump; when the difference is larger than zero, the difference is larger than the third set threshold, and the difference is smaller than or equal to the second set threshold, determining that the numerical value change trend is a normal increase; and when the difference value is larger than the second set threshold value, determining that the numerical value change trend is jumping upwards.
Optionally, the real-time data processing module 901 is further configured to, after obtaining a value variation trend of the current sample value compared with the last sample value, set a jump-down flag for the current sample value when the value variation trend is the jump-down;
when the numerical value change trend is the downward jump, the updated jump compensation value is obtained according to the following formula: JCV (t) ═ JCV (t-1) + [1SV (t-1) -csv (t) ], wherein t is a current sampling time, t-1 is a last sampling time, JCV (t) is an updated jump compensation value, JCV (t-1) is a jump compensation value at the last sampling time, 1SV (t-1) is the non-dead number last sampling value, and csv (t) is the current sampling value;
when the numerical value change trend is the upward jump and the current sampling value has the jump-down mark, clearing the jump-down mark, and obtaining the updated jump compensation value according to the following formula: JCV (t) -JCV (t-1) + [1SV (t-1) -2SV (t-1) ], where 2SV (t-1) is the last sample of the non-dead number, which is used to represent: before the sampling time of the non-dead number last sampling value, obtaining a sampling value based on the fact that the non-dead number change occurs to the generating capacity sampling value of the generating equipment at the latest time; when the numerical value change trend is the upward jump and the current sampling value has no the down jump mark, the updated jump compensation value is obtained according to the following formula: JCV (t) ═ JCV (t-1) + [1SV (t-1) -csv (t) ];
when the numerical value change trend is the normal increase and the current sampling value has the jump-down mark, clearing the jump-down mark and keeping the jump compensation value unchanged; when the numerical value change trend is the normal increase and the current sampling value does not have the jump-down mark, keeping the jump compensation value unchanged;
and when the numerical value change trend is the change of the dead number, keeping the jump compensation value unchanged.
Optionally, the calculating module 902 is specifically configured to calculate the power generation amount PG of the power generation equipment in the time period by using the following formula: PG ═ 1SV (t)end)-1SV(tstart)]+[JCV(tend)-JCV(tstart)]Wherein PG is the power generation amount of the power generation equipment in the time period, 1SV (t)end) The last sampled value, which is an uncorrupted number of the end time of the time period, 1SV (t)start) The last sampled value, JCV (t), which is a non-dead number of the start time of the time periodend) For a jump compensation value at the end time of said time period, JCV (t)start) Compensating for a jump in the starting time of the time period.
In addition, each functional module in this embodiment may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a sampling hardware mode, and can also be realized in a software functional module mode.
Based on the understanding that the technical solution of the present embodiment essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the method of the present embodiment. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Specifically, the computer program instructions corresponding to one power generation device power generation amount acquisition method in the present embodiment may be stored on a storage medium such as an optical disc, a hard disc, a usb disk, or the like, and when the computer program instructions corresponding to one power generation device power generation amount acquisition method in the storage medium are read or executed by an electronic device, the steps of any one of the power generation device power generation amount acquisition methods of the foregoing embodiments are implemented.
Example nine of the invention
In order to further embody the object of the present invention, the above embodiments of the present invention are further illustrated.
Fig. 10 is a schematic structural diagram of a generating apparatus generating capacity acquiring apparatus 1000 according to an embodiment of the present invention, and as shown in fig. 10, the apparatus may include: a memory 1001, a processor 1002, and a bus 1003; wherein the content of the first and second substances,
the bus 1003 is used to connect the memory 1001, the processor 1002, and the intercommunication among these devices;
a memory 1001 for storing computer programs and data;
a processor 1002 for executing the computer program stored in the memory 1001 to realize the steps of the electric power generation device electric power generation amount acquisition method according to any one of the foregoing embodiments.
In practical applications, the Memory 1001 may be a volatile Memory (volatile Memory), such as a Random-Access Memory (RAM); or a non-volatile Memory (non-volatile Memory), such as a Read-Only Memory (ROM), a flash Memory (flash Memory), a hard disk (HDD), or a Solid-State Drive (SSD); or a combination of the above types of memories and provides instructions and data to the processor 1002.
The Processor 1002 may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable logic Device (P L D, Programmable L) a Field Programmable Gate Array (FPGA), a Central Processing Unit (CPU), a controller, a microcontroller, and a microprocessor.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.

Claims (18)

1. A method for acquiring power generation amount of a power generation facility, the method comprising:
obtaining a current sampling value of the generating capacity of the generating equipment, and comparing the current sampling value with a last sampling value of the generating capacity of the generating equipment to obtain a numerical value change trend of the current sampling value compared with the last sampling value;
according to the numerical value change trend, a preset updating mode corresponding to the numerical value change trend is adopted, and the jump compensation value and the parameter value of the generated energy of the power generation equipment at the current moment are updated in sequence; the jump compensation value is used for offsetting the numerical value change of the generating capacity of the generating equipment caused by the jump of the generating capacity data of the generating equipment; the power generation equipment power generation capacity data jump is used for representing that: at the sampling time of the generated energy of two adjacent power generation devices, the descending amplitude of the generated energy sampling value of the power generation device exceeds a first set threshold value, or the ascending amplitude of the generated energy sampling value of the power generation device exceeds a second set threshold value;
and calculating the generated energy of the generating equipment in any time period according to the jump compensation value and the parameter value of the generated energy of the generating equipment after the start-stop time of the generating equipment is updated.
2. The method of claim 1, wherein the parameter values comprise: a non-dead number last sample value, the non-dead number last sample value to represent: a sampling value obtained based on the fact that a non-dead number change occurs to the generating capacity sampling value of the generating equipment at the last time; wherein the non-dead number change of the power generation amount sampling value of the power generation equipment is used for representing that: at the sampling time of the generated energy of two adjacent power generation devices, the descending amplitude of the generated energy sampling value of the power generation device exceeds a first set threshold value, or the ascending amplitude of the generated energy sampling value of the power generation device exceeds a third set threshold value.
3. The method of claim 2, wherein the deriving a trend of a value of the current sample value compared to the last sample value comprises:
when the descending amplitude of the current sampling value compared with the last sampling value exceeds the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value exceeds the third set threshold value, determining that the numerical value change trend is non-dead number change; when the descending amplitude of the current sampling value compared with the last sampling value does not exceed the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value does not exceed the third set threshold value, or the current sampling value is equal to the last sampling value, determining that the numerical value change trend is a dead number change;
accordingly, updating the parameter value of the power generation amount of the power generation equipment to obtain the updated parameter value of the power generation amount of the power generation equipment comprises the following steps:
when the numerical value change trend is the non-dead number change, taking the current sampling value as the updated non-dead number last sampling value;
and when the numerical value change trend is the change of the dead number, keeping the non-dead number sampling value unchanged last time.
4. The method of claim 2, wherein the parameter values further comprise: refreshing time of the last sampling value of the non-dead number and the last sampling value of the non-dead number; wherein the content of the first and second substances,
the non-dead number last sampling value is used for representing that: before the sampling time of the non-dead number last sampling value, obtaining a sampling value based on the fact that the non-dead number change occurs to the generating capacity sampling value of the generating equipment at the latest time;
and the non-dead number last sampling value refreshing time is used for representing the updating time of the non-dead number last sampling value.
5. The method of claim 4, wherein the deriving a trend of a value of the current sample value compared to the last sample value comprises:
when the descending amplitude of the current sampling value compared with the last sampling value exceeds the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value exceeds the third set threshold value, determining that the numerical value change trend is non-dead number change; when the descending amplitude of the current sampling value compared with the last sampling value does not exceed the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value does not exceed the third set threshold value, or the current sampling value is equal to the last sampling value, determining that the numerical value change trend is a dead number change;
accordingly, updating the parameter value of the power generation amount of the power generation equipment to obtain the updated parameter value of the power generation amount of the power generation equipment comprises the following steps:
when the numerical value change trend is non-dead number change, taking the non-dead number last sampling value as an updated non-dead number last sampling value, taking the current sampling value as an updated non-dead number last sampling value, and taking the update time of the non-dead number last sampling value as the updated non-dead number last sampling value refresh time;
and when the numerical value change trend is dead number change, keeping the refresh time of the last sampling value of the non-dead number, the last sampling value of the non-dead number and the last sampling value of the non-dead number unchanged.
6. The method of claim 3 or 5, wherein the non-dead number variation comprises: jump up, jump down and grow normally;
accordingly, the deriving a numerical trend of the current sample value compared to the last sample value includes:
subtracting the last sampling value from the current sampling value to obtain a difference value;
when the difference is smaller than zero and the absolute value of the difference is larger than the first set threshold, determining that the numerical value change trend is downward jump;
when the difference is larger than zero, the difference is larger than the third set threshold, and the difference is smaller than or equal to the second set threshold, determining that the numerical value change trend is a normal increase;
and when the difference value is larger than the second set threshold value, determining that the numerical value change trend is jumping upwards.
7. The method of claim 6, wherein after deriving a trend of change in value of the current sample value as compared to the last sample value, the method further comprises:
when the numerical value variation trend is the downward jump, setting a downward jump mark for the current sampling value;
correspondingly, the step compensation value of the generated energy of the power generation equipment is updated to obtain the updated step compensation value, and the method comprises the following steps:
when the numerical value change trend is the downward jump, the updated jump compensation value is obtained according to the following formula: JCV (t) ═ JCV (t-1) + [1SV (t-1) -csv (t) ], wherein t is a current sampling time, t-1 is a last sampling time, JCV (t) is an updated jump compensation value, JCV (t-1) is a jump compensation value at the last sampling time, 1SV (t-1) is the non-dead number last sampling value, and csv (t) is the current sampling value;
when the numerical value change trend is the upward jump and the current sampling value has the jump-down mark, clearing the jump-down mark, and obtaining the updated jump compensation value according to the following formula: JCV (t) -JCV (t-1) + [1SV (t-1) -2SV (t-1) ], where 2SV (t-1) is the last sample of the non-dead number, which is used to represent: before the sampling time of the non-dead number last sampling value, obtaining a sampling value based on the fact that the non-dead number change occurs to the generating capacity sampling value of the generating equipment at the latest time; when the numerical value change trend is the upward jump and the current sampling value has no the down jump mark, the updated jump compensation value is obtained according to the following formula: JCV (t) ═ JCV (t-1) + [1SV (t-1) -csv (t) ];
when the numerical value change trend is the normal increase and the current sampling value has the jump-down mark, clearing the jump-down mark and keeping the jump compensation value unchanged; when the numerical value change trend is the normal increase and the current sampling value does not have the jump-down mark, keeping the jump compensation value unchanged;
and when the numerical value change trend is the change of the dead number, keeping the jump compensation value unchanged.
8. The method according to any one of claims 1 to 5 and claim 7, wherein the amount of power generated by the power generation equipment during the period of time is expressed as: PG ═ 1SV (t)end)-1SV(tstart)]+[JCV(tend)-JCV(tstart)]Wherein PG is the power generation amount of the power generation equipment in the time period, 1SV (t)end) The last sampled value, which is an uncorrupted number of the end time of the time period, 1SV (t)start) The last sampled value, JCV (t), which is a non-dead number of the start time of the time periodend) For a jump compensation value at the end time of said time period, JCV (t)start) Compensating for a jump in the starting time of the time period.
9. An apparatus for acquiring an amount of power generation of a power generation apparatus, the apparatus comprising: a processor and a memory; wherein the content of the first and second substances,
the memory is used for storing a computer program;
the processor is configured to execute the computer program stored in the memory to implement the steps of:
obtaining a current sampling value of the generating capacity of the generating equipment, and comparing the current sampling value with a last sampling value of the generating capacity of the generating equipment to obtain a numerical value change trend of the current sampling value compared with the last sampling value;
according to the numerical value change trend, a preset updating mode corresponding to the numerical value change trend is adopted, and the jump compensation value and the parameter value of the generated energy of the power generation equipment at the current moment are updated in sequence; the jump compensation value is used for offsetting the numerical value change of the generating capacity of the generating equipment caused by the jump of the generating capacity data of the generating equipment; the power generation equipment power generation capacity data jump is used for representing that: at the sampling time of the generated energy of two adjacent power generation devices, the descending amplitude of the generated energy sampling value of the power generation device exceeds a first set threshold value, or the ascending amplitude of the generated energy sampling value of the power generation device exceeds a second set threshold value;
and calculating the generated energy of the generating equipment in any time period according to the jump compensation value and the parameter value of the generated energy of the generating equipment after the start-stop time of the generating equipment is updated.
10. The apparatus of claim 9, wherein the parameter values comprise: a non-dead number last sample value, the non-dead number last sample value to represent: a sampling value obtained based on the fact that a non-dead number change occurs to the generating capacity sampling value of the generating equipment at the last time; wherein the non-dead number change of the power generation amount sampling value of the power generation equipment is used for representing that: at the sampling time of the generated energy of two adjacent power generation devices, the descending amplitude of the generated energy sampling value of the power generation device exceeds a first set threshold value, or the ascending amplitude of the generated energy sampling value of the power generation device exceeds a third set threshold value.
11. The apparatus of claim 10, wherein the processor is specifically configured to execute a computer program stored in the memory to perform the steps of:
when the descending amplitude of the current sampling value compared with the last sampling value exceeds the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value exceeds the third set threshold value, determining that the numerical value change trend is non-dead number change; when the descending amplitude of the current sampling value compared with the last sampling value does not exceed the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value does not exceed the third set threshold value, or the current sampling value is equal to the last sampling value, determining that the numerical value change trend is a dead number change;
when the numerical value change trend is the non-dead number change, taking the current sampling value as the updated non-dead number last sampling value;
and when the numerical value change trend is the change of the dead number, keeping the non-dead number sampling value unchanged last time.
12. The apparatus of claim 10, wherein the parameter values further comprise: refreshing time of the last sampling value of the non-dead number and the last sampling value of the non-dead number; wherein the content of the first and second substances,
the non-dead number last sampling value is used for representing that: before the sampling time of the non-dead number last sampling value, obtaining a sampling value based on the fact that the non-dead number change occurs to the generating capacity sampling value of the generating equipment at the latest time;
and the non-dead number last sampling value refreshing time is used for representing the updating time of the non-dead number last sampling value.
13. The apparatus of claim 12, wherein the processor is specifically configured to execute the computer program stored in the memory to perform the steps of:
when the descending amplitude of the current sampling value compared with the last sampling value exceeds the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value exceeds the third set threshold value, determining that the numerical value change trend is non-dead number change; when the descending amplitude of the current sampling value compared with the last sampling value does not exceed the first set threshold value, or the ascending amplitude of the current sampling value compared with the last sampling value does not exceed the third set threshold value, or the current sampling value is equal to the last sampling value, determining that the numerical value change trend is a dead number change;
when the numerical value change trend is non-dead number change, taking the non-dead number last sampling value as an updated non-dead number last sampling value, taking the current sampling value as an updated non-dead number last sampling value, and taking the update time of the non-dead number last sampling value as the updated non-dead number last sampling value refresh time;
and when the numerical value change trend is dead number change, keeping the refresh time of the last sampling value of the non-dead number, the last sampling value of the non-dead number and the last sampling value of the non-dead number unchanged.
14. The apparatus of claim 11 or 13, wherein the non-dead number variation comprises: jump up, jump down and grow normally;
accordingly, the processor is specifically configured to execute the computer program stored in the memory to implement the steps of:
subtracting the last sampling value from the current sampling value to obtain a difference value;
when the difference is smaller than zero and the absolute value of the difference is larger than the first set threshold, determining that the numerical value change trend is downward jump;
when the difference is larger than zero, the difference is larger than the third set threshold, and the difference is smaller than or equal to the second set threshold, determining that the numerical value change trend is a normal increase;
and when the difference value is larger than the second set threshold value, determining that the numerical value change trend is jumping upwards.
15. The apparatus of claim 14, wherein the processor is further configured to execute a computer program stored in the memory to perform the steps of: after a numerical value change trend of the current sampling value compared with the last sampling value is obtained, when the numerical value change trend is the downward jump, a downward jump mark is set for the current sampling value;
when the numerical value change trend is the downward jump, the updated jump compensation value is obtained according to the following formula: JCV (t) ═ JCV (t-1) + [1SV (t-1) -csv (t) ], wherein t is a current sampling time, t-1 is a last sampling time, JCV (t) is an updated jump compensation value, JCV (t-1) is a jump compensation value at the last sampling time, 1SV (t-1) is the non-dead number last sampling value, and csv (t) is the current sampling value;
when the numerical value change trend is the upward jump and the current sampling value has the jump-down mark, clearing the jump-down mark, and obtaining the updated jump compensation value according to the following formula: JCV (t) -JCV (t-1) + [1SV (t-1) -2SV (t-1) ], where 2SV (t-1) is the last sample of the non-dead number, which is used to represent: before the sampling time of the non-dead number last sampling value, obtaining a sampling value based on the fact that the non-dead number change occurs to the generating capacity sampling value of the generating equipment at the latest time; when the numerical value change trend is the upward jump and the current sampling value has no the down jump mark, the updated jump compensation value is obtained according to the following formula: JCV (t) ═ JCV (t-1) + [1SV (t-1) -csv (t) ];
when the numerical value change trend is the normal increase and the current sampling value has the jump-down mark, clearing the jump-down mark and keeping the jump compensation value unchanged; when the numerical value change trend is the normal increase and the current sampling value does not have the jump-down mark, keeping the jump compensation value unchanged;
and when the numerical value change trend is the change of the dead number, keeping the jump compensation value unchanged.
16. The apparatus of any of claims 9 to 13 and 15, wherein the processor is further configured to execute the computer program stored in the memory to perform the steps of:
calculating the generated energy PG of the power generation equipment in the time period by adopting the following formula: PG ═ 1SV (t)end)-1SV(tstart)]+[JCV(tend)-JCV(tstart)]Wherein PG is the power generation amount of the power generation equipment in the time period, 1SV (t)end) The last sampled value, which is an uncorrupted number of the end time of the time period, 1SV (t)start) The last sampled value, JCV (t), which is a non-dead number of the start time of the time periodend) For a jump compensation value at the end time of said time period, JCV (t)start) For a jump in the start time of the time periodA compensation value.
17. An apparatus for acquiring a power generation amount of a power generation facility, the apparatus comprising: the real-time data processing module and the computing module; wherein the content of the first and second substances,
the real-time data processing module is used for acquiring a current sampling value of the generating capacity of the generating equipment, and comparing the current sampling value with a last sampling value of the generating capacity of the generating equipment to obtain a numerical value change trend of the current sampling value compared with the last sampling value;
the real-time data processing module is further used for sequentially updating the jump compensation value and the parameter value of the generated energy of the power generation equipment at the current moment by adopting a preset updating mode corresponding to the numerical value change trend according to the numerical value change trend; the jump compensation value is used for offsetting the numerical value change of the generating capacity of the generating equipment caused by the jump of the generating capacity data of the generating equipment; the power generation equipment power generation capacity data jump is used for representing that: at the sampling time of the generated energy of two adjacent power generation devices, the descending amplitude of the generated energy sampling value of the power generation device exceeds a first set threshold value, or the ascending amplitude of the generated energy sampling value of the power generation device exceeds a second set threshold value;
and the calculating module is used for calculating the generated energy of the generating equipment in any time period according to the jump compensation value and the parameter value of the generated energy of the generating equipment after the start-stop time of the generating equipment is updated.
18. A computer storage medium on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
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