CN116091263B - Theoretical power calculation method of photovoltaic power station and related equipment - Google Patents

Theoretical power calculation method of photovoltaic power station and related equipment Download PDF

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CN116091263B
CN116091263B CN202310193939.3A CN202310193939A CN116091263B CN 116091263 B CN116091263 B CN 116091263B CN 202310193939 A CN202310193939 A CN 202310193939A CN 116091263 B CN116091263 B CN 116091263B
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田伟
钱志国
李润
刘鲁宁
宋美洋
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Beijing East Environment Energy Technology Co ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S10/00PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
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    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers

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Abstract

The disclosure provides a theoretical power calculation method and related equipment of a photovoltaic power station, which are characterized in that the method comprises the following steps: acquiring the installed capacity, the actual power, the first resource theoretical power at the first moment and the second resource theoretical power at the second moment of the electric collecting wire; calculating to obtain target resource theoretical power at a target moment based on the first resource theoretical power and the second resource theoretical power; obtaining available theoretical power of the target resource based on the theoretical power of the target resource; operating the installed capacity of the electric collecting wire to obtain the starting capacity of the electric collecting wire, and obtaining the full-field starting capacity according to the starting capacity; determining a full-field limit mark bit according to the target resource theoretical power and the actual power; calculating the theoretical power of the target resource and the available theoretical power of the target resource to obtain the blocked power in the station and the blocked integral electric quantity in the station; and carrying out operation treatment on the available theoretical power and the actual power of the target resource to obtain peak regulation blocked power and peak regulation blocked integral electric quantity.

Description

Theoretical power calculation method of photovoltaic power station and related equipment
Technical Field
The disclosure relates to the technical field of data processing, in particular to a theoretical power calculation method of a photovoltaic power station and related equipment.
Background
With the development of new energy, the theoretical power of the photovoltaic power station needs to be calculated and reported. However, when calculating the theoretical power of the photovoltaic power station, the obtained theoretical power has low accuracy and cannot be reported in time.
In view of this, how to improve the accuracy of the theoretical power calculation of the photovoltaic power station and report the theoretical power in time becomes a problem to be solved urgently.
Disclosure of Invention
In view of the above, the disclosure is directed to a theoretical power calculation method of a photovoltaic power station and related equipment for solving or partially solving the above technical problems.
Based on the above object, a first aspect of the present disclosure proposes a theoretical power calculation method of a photovoltaic power station, including:
acquiring the installed capacity, the actual power, the first resource theoretical power at the first moment and the second resource theoretical power at the second moment of the electric collecting wire;
calculating to obtain target resource theoretical power at a target moment through a first resource algorithm based on the first resource theoretical power and the second resource theoretical power;
calculating to obtain the target resource available theoretical power through a second resource algorithm based on the target resource theoretical power;
operating the installed capacity of the electric collecting wire to obtain the starting capacity of the electric collecting wire, and calculating the starting capacity of the electric collecting wire to obtain the full-field starting capacity;
Determining a full-field limit electric mark bit according to the target resource theoretical power and the actual power;
performing operation treatment on the target resource theoretical power and the target resource available theoretical power to obtain in-station blocked power and in-station blocked integral electric quantity;
and carrying out operation treatment on the available theoretical power and the actual power of the target resource to obtain peak regulation blocked power and peak regulation blocked integral electric quantity.
Based on the same inventive concept, a second aspect of the present disclosure proposes a theoretical power calculation device of a photovoltaic power station, comprising:
the first operation module is configured to calculate the target resource theoretical power at the target moment through a first resource algorithm based on the first resource theoretical power and the second resource theoretical power;
the second operation module is configured to calculate the available theoretical power of the target resource through a second resource algorithm based on the theoretical power of the target resource;
the third operation module is configured to perform operation processing on the installed capacity of the electric collecting wire to obtain the starting capacity of the electric collecting wire, and the starting capacity of the whole field is calculated according to the starting capacity of the electric collecting wire;
a determination module configured to determine a full-field limit flag bit based on the target resource theoretical power and the actual power;
The fourth operation module is configured to perform operation processing on the target resource theoretical power and the target resource available theoretical power to obtain in-station blocked power and in-station blocked integral electric quantity;
and the fifth operation module is configured to perform operation processing on the available theoretical power of the target resource and the actual power to obtain peak regulation blocked power and peak regulation blocked integral electric quantity.
Based on the same inventive concept, a third aspect of the present disclosure proposes an electronic device comprising a memory, a processor and a computer program stored on the memory and executable by the processor, the processor implementing the method as described above when executing the computer program.
Based on the same inventive concept, a fourth aspect of the present disclosure proposes a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method as described above.
From the above, it can be seen that the present disclosure provides a theoretical power calculation method for a photovoltaic power station and related devices. And calculating the target resource theoretical power at the target moment based on the first resource theoretical power at the first moment and the second resource theoretical power at the second moment, so that the obtained target resource theoretical power is more accurate. Based on the target resource theoretical power, the target resource available theoretical power is calculated, so that the power which can be emitted after the field is blocked can be determined. And determining the full-field limit mark bit according to the theoretical power and the actual power of the target resource, and accurately obtaining whether the power limit is performed in the field. By calculating the in-station blocked power and the peak shaving blocked power, the station end has the capability of counting the in-station blocked integral electric quantity and the peak shaving blocked integral electric quantity in real time.
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In order to more clearly illustrate the technical solutions of the present disclosure or related art, the drawings required for the embodiments or related art description will be briefly described below, and it is apparent that the drawings in the following description are only embodiments of the present disclosure, and other drawings may be obtained according to these drawings without inventive effort to those of ordinary skill in the art.
FIG. 1 is a flow chart of a theoretical power calculation method for a photovoltaic power plant of an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a theoretical power calculation device of a photovoltaic power plant according to an embodiment of the disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure.
Detailed Description
For the purposes of promoting an understanding of the principles and advantages of the disclosure, reference will now be made to the embodiments illustrated in the drawings and specific language will be used to describe the same.
It should be noted that unless otherwise defined, technical or scientific terms used in the embodiments of the present disclosure should be given the ordinary meaning as understood by one of ordinary skill in the art to which the present disclosure pertains. The terms "first," "second," and the like, as used in embodiments of the present disclosure, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", etc. are used merely to indicate relative positional relationships, which may also be changed when the absolute position of the object to be described is changed.
As described above, how to improve the accuracy of calculation of the theoretical power of the photovoltaic power station and report the calculated theoretical power in time becomes an important research problem.
Based on the above description, as shown in fig. 1, the theoretical power calculation method of the photovoltaic power station provided in this embodiment includes:
and 101, acquiring the installed capacity, the actual power, the first resource theoretical power at the first moment and the second resource theoretical power at the second moment of the collector wire.
In the specific implementation, the installed capacity and the actual power of the collector wire are obtained. The actual power is an average value of the actual power in the first time to the second time. And simultaneously, acquiring the first resource theoretical power at the first moment and the second resource theoretical power at the second moment. For example, acquisition time T 1 First resource theoretical power P of (2) 1 And time T 2 Second resource theoretical power P of (2) 2 Time T I And time T 2 Can be set to be 5 minutes apart.
When the theoretical power of the target resource and the available theoretical power of the target resource are calculated through a resource method, the input data are the data of the irradiator, such as the temperature and the illumination of the irradiator.
And 102, calculating the target resource theoretical power at the target moment through a first resource algorithm based on the first resource theoretical power and the second resource theoretical power.
In the specific implementation, the target resource theoretical power at the target moment is calculated through a first resource algorithm based on the first resource theoretical power at the first moment and the second resource theoretical power at the second moment. The first resource algorithm is an algorithm for calculating target resource theoretical power at a target moment according to resource theoretical power at the first two moments.
When the first resource theoretical power and the second resource theoretical power at two moments cannot be obtained, or only one of the first resource theoretical power and the second resource theoretical power can be obtained, the obtained actual power is used as the target resource theoretical power. When the first resource theoretical power and the second resource theoretical power are 0, the target resource theoretical power is 0.
And when the calculated target resource theoretical power is smaller than 0, the target resource theoretical power is 0. And when the calculated target resource theoretical power is smaller than the actual power, taking the obtained actual power as the target resource theoretical power. And when the calculated target resource theoretical power is larger than the installed capacity of the collector wire, taking the installed capacity as the target resource theoretical power. When irradiance is null or other parameters are null, the actual power is taken as the theoretical power of the target resource. And when the calculated target resource theoretical power is empty, taking the actual power as the target resource theoretical power. When the actual power cannot be acquired, the target resource theoretical power is null.
And step 103, calculating the available theoretical power of the target resource through a second resource algorithm based on the theoretical power of the target resource.
In the implementation, the target resource available theoretical power is calculated through a second resource algorithm based on the sum of the target resource theoretical power and the installed capacity of the inverter with the current collector state bit in an abnormal state. The abnormal state may be an overhaul state or a fault state, and the second resource algorithm is an algorithm for calculating the available theoretical power of the target resource according to the theoretical power of the target resource.
And when the calculated available theoretical power of the target resource is smaller than 0, the available theoretical power of the target resource is 0. And when the calculated available theoretical power of the target resource is smaller than the actual power, taking the actual power as the available theoretical power of the target resource. And when the calculated available theoretical power of the target resource is larger than the installed capacity of the collector wire, taking the installed capacity as the available theoretical power of the target resource. And when the calculated target resource available theoretical power is larger than the target resource theoretical power, taking the target resource theoretical power as the target resource available theoretical power.
And 104, performing operation processing on the installed capacity of the electric collecting wire to obtain the starting capacity of the electric collecting wire, and calculating according to the starting capacity of the electric collecting wire to obtain the full-field starting capacity.
In the implementation, the starting capacity of the electric collecting wire is obtained through calculation according to the sum of the installed capacity of the electric collecting wire and the installed capacity of the inverter with the state bit of the electric collecting wire in an abnormal state. And carrying out summation operation on the starting capacity of each power collecting wire to obtain the full-field starting capacity.
Step 105, determining a full-field limit flag bit according to the target resource theoretical power and the actual power.
In the implementation, before the full-field limit electric mark position is determined, the limit electric mark position of the electric collecting wire is judged according to the target resource theoretical power, the actual power and the installed capacity of the electric collecting wire. The full-field limit flag bit is determined based on the limit flag bits of the respective collector lines.
When the first resource theoretical power and the second resource theoretical power are 0, the target resource theoretical power is 0, and the limit electric potential of the electricity collecting wire is 0. The limit flag bit is 1 and is indicated as limited, and the limit flag bit is 0 and is indicated as not limited.
And 106, performing operation processing on the target resource theoretical power and the target resource available theoretical power to obtain the in-station blocked power and the in-station blocked integral electric quantity.
In specific implementation, the calculation is carried out according to the target resource theoretical power and the target resource available theoretical power, and the difference value between the target resource theoretical power and the target resource available theoretical power is the blocked power in the station. The in-station blocked power is in-station blocked power of the electric collecting wire from the start time to the current time, for example, in-station blocked power is in-station blocked power of the electric collecting wire from the current time to the current time on day 0.
And 107, carrying out operation processing on the available theoretical power of the target resource and the actual power to obtain peak regulation blocked power and peak regulation blocked integral electric quantity.
In specific implementation, the calculation is carried out according to the available theoretical power and the actual power of the target resource, and the difference value between the available theoretical power and the actual power of the target resource is the peak shaving and blocking power. The peak shaver blocked power is in-station blocked power of the electric collecting wire from the starting time to the current time, for example, the peak shaver blocked power is the peak shaver blocked power of the electric collecting wire from the current time to the current time on the day 0. In addition, when the actual power is not found, the actual power is 0.
In the above embodiment, the target theoretical power of the target time is calculated based on the first theoretical power of the resource at the first time and the second theoretical power of the resource at the second time, so that the obtained target theoretical power of the resource is more accurate. Based on the target resource theoretical power, the target resource available theoretical power is calculated, so that the power which can be emitted after the field is blocked can be determined. And determining the full-field limit mark bit according to the theoretical power and the actual power of the target resource, and accurately obtaining whether the power limit is performed in the field. By calculating the in-station blocked power and the peak shaving blocked power, the station end has the capability of counting the in-station blocked integral electric quantity and the peak shaving blocked integral electric quantity in real time.
In some embodiments, step 102 comprises:
step 1021, calculating the target theoretical power of the resource at the target moment by the first resource algorithm based on the first theoretical power of the resource and the second theoretical power of the resource,
Figure SMS_1
wherein ,Pt,j At the target time T for the collector line j 3 Is the target resource theoretical power, T 1 For the first moment, T 2 For the second moment, P 1 For the first resource theoretical power at the first moment, P 2 Theoretical power for said second resource at a second instant.
In particular, when the first time T 1 And a second time T 2 For a difference of 5 minutes, the theoretical power calculation formula of the target resource is as follows:
Figure SMS_2
wherein, the theoretical power increment of the resources per minute is
Figure SMS_3
The time increment from the second moment to the target moment is +.>
Figure SMS_4
The target resource theoretical power at the target moment is +.>
Figure SMS_5
In addition, the theoretical power can be calculated through a template inverter method, and the process of calculating the theoretical power through the template inverter method is consistent with the process of calculating the theoretical power through a resource method. The difference is that the first inverter theoretical power at the first moment and the second inverter theoretical power at the second moment obtained by the template inverter method are different from the first resource theoretical power and the second resource theoretical power in the resource method. The theoretical power of the inverter obtained in the template inverter method is obtained according to the data of the photovoltaic panel, and the theoretical power of the resource obtained in the resource method is obtained according to the data of the irradiator.
In the scheme, the theoretical power of the target resource at the target moment is obtained by carrying out operation processing on the theoretical power of the resource at the first moment and the second moment, so that the obtained theoretical power is more accurate.
In some embodiments, step 103 comprises:
step 1031, based on the target resource theoretical power, calculating by the second resource algorithm the target resource available theoretical power,
Figure SMS_6
wherein ,
Figure SMS_7
at the target time T for the collector line j 3 Theoretical power available to the target resource, C j For the installed capacity of the collector line j, T Cj The sum of the installed capacities of the inverters with abnormal status bits in the collector wires j.
In specific implementation, the available theoretical power of the target resource is the available theoretical power which can be generated after the blockage caused by the reasons of in-field equipment fault, defect or overhaul is considered. The target resource available theoretical power is obtained by removing faults, defects or overhauling calculation of the inverter on the basis of the target resource theoretical power.
In the scheme, the target resource available theoretical power is obtained by carrying out operation processing on the sum of the target resource theoretical power and the installed capacity of the inverter with the state bit in the collector wire j being in an abnormal state. Therefore, the installed capacity of the inverter in the abnormal state can be eliminated, and the user can know the available theoretical power conveniently.
In some embodiments, step 104 comprises:
step 1041, obtaining the sum of the installed capacities of the inverters with abnormal status of status bits in the collector wires j.
Step 1042, calculating the start-up capacity of the electric collecting wire j based on the sum of the installed capacity of the electric collecting wire and the installed capacity of the inverter with the abnormal state of the status bit in the electric collecting wire j,
Figure SMS_8
wherein ,OCj C is the starting capacity of the collector line j j For the installed capacity of the collector line j, T Cj The sum of the installed capacities of the inverters with abnormal status bits in the collector wires j.
Step 1043, calculating the full-field power-on capacity based on the power-on capacity of the collector line j,
Figure SMS_9
wherein O is the full-field startup capacity.
When the method is implemented, the full-field starting-up capacity data accessed from the outside of the system is preferentially used as the full-field starting-up capacity. When the full-field starting capacity data is not accessed outside the system, the prediction system calculates the full-field starting capacity.
And calculating the starting capacity of the electric collecting wire according to the sum of the installed capacity of the electric collecting wire and the installed capacity of the inverter with the state bit of the electric collecting wire in an abnormal state. And carrying out summation operation on the starting capacity of each power collecting wire to obtain the full-field starting capacity.
In the scheme, when the full-field starting capacity data is not accessed, the full-field starting capacity is obtained through operation processing, so that the full-field starting capacity can be accurately predicted, and a user can conveniently know the full-field starting capacity to perform related operation.
In some embodiments, step 105 comprises:
step 1051, determining the limit electric power marking position of the electric power collecting wire through operation processing according to the target resource theoretical power and the actual power; wherein the limit flag bit includes a limit and an unconfined limit.
In step 1052, a determination process is performed on the full-field limit flag bit based on the limit flag bit of the collector line.
In response to determining that the limit flag bits for all collector lines in the full field are both unconfined, step 1053, the full field limit flag bits are unconfined.
In response to determining that the limit flag bit for the collector line is present in the full field is limited, step 1054, the full field limit flag bit is limited.
In the implementation, the full-field limit flag bit data accessed from the outside of the system is preferentially used as the full-field limit flag bit. When the full-field limit flag bit data is not accessed outside the system, the prediction system calculates the full-field limit flag bit.
Before determining the full-field limit mark position, judging the limit mark position of the power collecting wire according to the target resource theoretical power, the actual power and the installed capacity of the power collecting wire. The electricity limiting mark position judgment process of the electricity collecting wire comprises the following steps:
Figure SMS_10
wherein ,Pt,j At the target time T for the collector line j 3 Is set to the target resource theoretical power, pr t,j For collecting the actual power of line j, C j Is the installed capacity of the collector line j.
When the target resource theoretical power of the electric collecting wire meets the above formula, the electricity limiting mark bit of the electric collecting wire is 1, and when the target resource theoretical power of the electric collecting wire does not meet the above formula, the electricity limiting mark bit of the electric collecting wire is 0. The limit flag bit is 1 and is indicated as limited, and the limit flag bit is 0 and is indicated as not limited.
The full-field limit flag bit is determined based on the limit flag bits of the respective collector lines. The full-field limit mark bit judgment process comprises the following steps: when the limit electric marks of all the collector wires in the whole field are all 0, the limit electric marks in the whole field are 0; when the limit electric power mark of at least one collector wire in the collector wire of the whole field is all 1, the limit electric power mark of the whole field is 1.
When the first resource theoretical power and the second resource theoretical power are 0, the target resource theoretical power is 0, and the limit electric potential of the electricity collecting wire is 0.
In the above-described scheme, when full-field limit flag bit data is not accessed, the full-field limit flag bit is determined based on the limit flag bit of each collector line by determining the limit flag bit of each collector line in the field. The full-field limit mark position can be accurately predicted, so that a user can know the full-field limit mark position to perform related operation.
In some embodiments, step 106 comprises:
step 1061, calculating, based on the target resource theoretical power and the target resource available theoretical power, the in-station blocked power,
Figure SMS_11
wherein ,Tet,j For the in-station blocked power, P t,j At the target time T for the collector line j 3 Is set to be equal to the target resource theoretical power,
Figure SMS_12
at the target time T for the collector line j 3 Theoretical power available to the target resource of (c).
Step 1062, calculating the integral electric quantity of the blocked electric quantity in the station through operation processing according to the blocked electric power in the station,
Figure SMS_13
wherein ,ITej And (3) integrating the electric quantity for blocking in the station, wherein T is the current moment.
In specific implementation, the calculation is carried out according to the target resource theoretical power and the target resource available theoretical power, and the difference value between the target resource theoretical power and the target resource available theoretical power is the blocked power in the station. The in-station blocked power is in-station blocked power of the electric collecting wire from the start time to the current time, for example, in-station blocked power is in-station blocked power of the electric collecting wire from the current time to the current time on day 0. And according to the blocked power in the station, calculating to obtain the blocked integral electric quantity in the station through operation processing.
In the scheme, the station end has the capability of counting the blocked integral electric quantity in the station in real time by calculating the blocked electric power in the station and the blocked integral electric quantity in the station.
In some embodiments, step 107 comprises:
step 1071, calculating the peak shaving blocked power based on the available theoretical power of the target resource and the actual power,
Figure SMS_14
wherein ,Let,j For the peak shaver and the blocking power,
Figure SMS_15
at the target time T for the collector line j 3 Is the theoretical power available for the target resource, pr t,j Is the actual power of collector line j.
Step 1072, calculating the peak shaving blocking integral electric quantity through operation processing according to the peak shaving blocking electric power,
Figure SMS_16
wherein ,ILej And (3) integrating the electric quantity for peak regulation and blocking, wherein T is the current moment.
In specific implementation, the calculation is carried out according to the available theoretical power and the actual power of the target resource, and the difference value between the available theoretical power and the actual power of the target resource is the peak shaving and blocking power. The peak shaver blocked power is in-station blocked power of the electric collecting wire from the starting time to the current time, for example, the peak shaver blocked power is the peak shaver blocked power of the electric collecting wire from the current time to the current time on the day 0. In addition, when the actual power is not found, the actual power is 0. And calculating the peak-shaving blocked integral electric quantity through operation processing according to the peak-shaving blocked electric power.
In the scheme, the peak-shaving blocked electric power and the peak-shaving blocked integral electric power are calculated, so that the station end has the capability of counting the peak-shaving blocked integral electric power in the station in real time.
In some embodiments, after step 103, further comprising:
step 103A, obtaining theoretical power of the target template mechanism and theoretical power available to the target template machine.
And step 103B, determining a first weight and a second weight corresponding to the target resource theoretical power and the target template mechanism theoretical power through a first neural network algorithm.
And 103C, calculating the target resource theoretical power and the target template mechanism theoretical power based on the first weight and the second weight to obtain target theoretical power.
And step 103D, determining a third weight and a fourth weight corresponding to the target resource available theoretical power and the target board sample machine available theoretical power through a second neural network algorithm.
And 103E, based on the third weight and the fourth weight, carrying out operation processing on the available theoretical power of the target resource and the available theoretical power of the target sample plate machine to obtain the target available theoretical power.
In specific implementation, the theoretical power is calculated by a template inverter method, and the process of calculating the theoretical power by the template inverter method is consistent with the process of calculating by a resource method. The difference is that the first inverter theoretical power at the first moment and the second inverter theoretical power at the second moment obtained by the template inverter method are different from the first resource theoretical power and the second resource theoretical power in the resource method. The theoretical power of the inverter obtained in the template inverter method is obtained according to the data of the photovoltaic panel, and the theoretical power of the resource obtained in the resource method is obtained according to the data of the irradiator.
Obtaining theoretical power of a first template machine and theoretical power of a second template machine in photovoltaic panel data, calculating the theoretical power of the target template machine at a target moment through a first template machine algorithm,
Figure SMS_17
wherein ,Pm,j At the target time T for the collector line j 3 The theory of mechanism of the target template of power, T 1 For the first moment, T 2 For the second moment, P 3 For the theoretical power of the first trigger at the first moment, P 4 Power is mechanistic for the second template at a second time.
And determining a first weight and a second weight corresponding to the target resource theoretical power and the target template theoretical power through a first neural network algorithm. The first neural network is obtained based on historical resource theoretical power and historical template mechanism theoretical power training, and weights corresponding to target resource theoretical power and target template mechanism theoretical power respectively can be determined. And carrying out operation processing on the target resource theoretical power and the target template mechanism theoretical power based on the first weight and the second weight to obtain target theoretical power. Thus, the obtained target theoretical power is more accurate and reliable.
Calculating the available theoretical power of the target template machine through a second template machine algorithm based on the theoretical power of the target template machine,
Figure SMS_18
wherein ,
Figure SMS_19
at the target time T for the collector line j 3 Theoretical power available to the target template machine, C j For the installed capacity of the collector line j, T Cj Is the state bit in the collector line j is abnormalThe sum of the installed capacities of the inverter in the state.
And determining a third weight and a fourth weight corresponding to the available theoretical power of the target resource and the available theoretical power of the target trigger by a second neural network algorithm. The second neural network is obtained based on the historical resource available theoretical power and the historical template machine available theoretical power through training, and weights corresponding to the target resource available theoretical power and the target template machine available theoretical power can be determined. And based on the third weight and the fourth weight, carrying out operation processing on the available theoretical power of the target resource and the available theoretical power of the target sample plate machine to obtain the target available theoretical power. Thus, the obtained target available theoretical power is more accurate and reliable.
In the above embodiment, the target theoretical power of the target time is calculated based on the first theoretical power of the resource at the first time and the second theoretical power of the resource at the second time, so that the obtained target theoretical power of the resource is more accurate. Based on the target resource theoretical power, the target resource available theoretical power is calculated, so that the power which can be emitted after the field is blocked can be determined. And determining the full-field limit mark bit according to the theoretical power and the actual power of the target resource, and accurately obtaining whether the power limit is performed in the field. By calculating the in-station blocked power and the peak shaving blocked power, the station end has the capability of counting the in-station blocked integral electric quantity and the peak shaving blocked integral electric quantity in real time.
It should be noted that the method of the embodiments of the present disclosure may be performed by a single device, such as a computer or a server. The method of the embodiment can also be applied to a distributed scene, and is completed by mutually matching a plurality of devices. In the case of such a distributed scenario, one of the devices may perform only one or more steps of the methods of embodiments of the present disclosure, the devices interacting with each other to accomplish the methods.
It should be noted that the foregoing describes some embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments described above and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
Based on the same inventive concept, the disclosure also provides a theoretical power calculation device of the photovoltaic power station, which corresponds to the method of any embodiment.
Referring to fig. 2, the theoretical power calculation device of the photovoltaic power station includes:
the acquisition module 201 is configured to acquire the installed capacity of the collector wire, the actual power, the first theoretical power of resources at a first time and the second theoretical power of resources at a second time.
The first operation module 202 is configured to calculate, based on the first theoretical power of resources and the second theoretical power of resources, a theoretical power of resources at a target time by a first resource algorithm.
The second operation module 203 is configured to calculate, based on the target resource theoretical power, the target resource available theoretical power through a second resource algorithm.
And the third operation module 204 is configured to perform operation processing on the installed capacity of the electric collecting wire to obtain the starting capacity of the electric collecting wire, and calculate the full-field starting capacity according to the starting capacity of the electric collecting wire.
A determination module 205 is configured to determine a full-field limit flag bit based on the target resource theoretical power and the actual power.
And a fourth operation module 206, configured to perform operation processing on the target resource theoretical power and the target resource available theoretical power to obtain the in-station blocked power and the in-station blocked integrated power.
And a fifth operation module 207, configured to perform operation processing on the theoretical power available to the target resource and the actual power, so as to obtain peak-shaving blocked power and peak-shaving blocked integrated power.
In some embodiments, the first operation module 202 includes:
a first arithmetic unit configured to calculate the target theoretical power of the resource at a target time by the first resource algorithm based on the first theoretical power of the resource and the second theoretical power of the resource,
Figure SMS_20
wherein ,Pt,j At the target time T for the collector line j 3 Is the target resource theoretical power, T 1 For the first moment, T 2 For the second moment, P 1 For the first resource theoretical power at the first moment, P 2 Theoretical power for said second resource at a second instant.
In some embodiments, the second operation module 203 includes:
a second arithmetic unit configured to calculate the target resource usable theoretical power by the second resource algorithm based on the target resource theoretical power,
Figure SMS_21
wherein ,
Figure SMS_22
at the target time T for the collector line j 3 Theoretical power available to the target resource, C j For the installed capacity of the collector line j, T Cj The sum of the installed capacities of the inverters with abnormal status bits in the collector wires j.
In some embodiments, the third operation module 204 includes:
and an acquisition unit configured to acquire a sum of the installed capacities of the inverters in which the status bits in the collector wires j are in an abnormal state.
A first startup capacity operation unit configured to calculate a startup capacity of the electric collecting wire j based on a sum of a installed capacity of the electric collecting wire and an installed capacity of an inverter in which a state bit in the electric collecting wire j is in an abnormal state,
Figure SMS_23
wherein ,OCj C is the starting capacity of the collector line j j For the installed capacity of the collector line j, T Cj The sum of the installed capacities of the inverters with abnormal status bits in the collector wires j.
A second power-on capacity operation unit configured to calculate the full-field power-on capacity based on the power-on capacity of the collector line j,
Figure SMS_24
wherein O is the full-field startup capacity.
In some embodiments, the determination module 205 includes:
a limit electric sign bit determining unit configured to determine a limit electric sign bit of a collector wire by an arithmetic process based on the target resource theoretical power and the actual power; wherein the limit flag bit includes a limit and an unconfined limit.
And a judgment processing unit configured to perform judgment processing on the full-field limit flag bit based on the limit flag bit of the collector line.
The first determination unit is configured to determine that the full-field limit flag bits are unconfined in response to determining that the limit flag bits of all the collector lines in the full field are unconfined.
And a second determination unit configured to, in response to determining that the limit electric flag bit of the collector wire exists in the full field to limit electric power, the full field limit electric flag bit is the limit electric power.
In some embodiments, the fourth operation module 206 includes:
an in-station blocked power calculation unit configured to calculate the in-station blocked power based on the target resource theoretical power and the target resource available theoretical power,
Figure SMS_25
wherein ,Tet,j For the in-station blocked power, P t,j At the target time T for the collector line j 3 Is set to be equal to the target resource theoretical power,
Figure SMS_26
at the target time T for the collector line j 3 Theoretical power available to the target resource of (c).
An in-station blocked integrated electric quantity calculation unit configured to calculate the in-station blocked integrated electric quantity by an arithmetic process based on the in-station blocked electric power,
Figure SMS_27
wherein ,ITej And (3) integrating the electric quantity for blocking in the station, wherein T is the current moment.
In some embodiments, the fifth operation module 207 includes:
a peak-shaving blocked power calculation unit configured to calculate the peak-shaving blocked power based on the target resource available theoretical power and the actual power,
Figure SMS_28
wherein ,Let,j For the peak shaver and the blocking power,
Figure SMS_29
at the target time T for the collector line j 3 Is the theoretical power available for the target resource, pr t,j Is the actual power of collector line j.
A peak-shaving blocked integrated electric quantity calculation unit configured to calculate the peak-shaving blocked integrated electric quantity by an arithmetic process based on the peak-shaving blocked electric power,
Figure SMS_30
wherein ,ILej And (3) integrating the electric quantity for peak regulation and blocking, wherein T is the current moment.
In some embodiments, the theoretical power calculation device of a photovoltaic power plant further comprises:
and the power acquisition module is configured to acquire the theoretical power of the mechanism of the target template and the theoretical power available to the target template machine.
And the theoretical power weight determining module is configured to determine a first weight and a second weight corresponding to the target resource theoretical power and the target template mechanism theoretical power through a first neural network algorithm.
The target theoretical power operation module is configured to operate the target resource theoretical power and the target template theoretical power based on the first weight and the second weight to obtain target theoretical power.
And the available theoretical power weight determining module is configured to determine a third weight and a fourth weight corresponding to the available theoretical power of the target resource and the available theoretical power of the target trigger through a second neural network algorithm.
And the target available theoretical power operation module is configured to perform operation processing on the target resource available theoretical power and the target board sample machine available theoretical power based on the third weight and the fourth weight to obtain target available theoretical power.
For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, the functions of the various modules may be implemented in the same one or more pieces of software and/or hardware when implementing the present disclosure.
The device of the foregoing embodiment is used to implement the theoretical power calculation method of the corresponding photovoltaic power station in any foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which is not described herein again.
Based on the same inventive concept, the disclosure also provides an electronic device corresponding to the method of any embodiment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the theoretical power calculation method of the photovoltaic power station of any embodiment when executing the program.
Fig. 3 shows a more specific hardware architecture of an electronic device according to this embodiment, where the device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 implement communication connections therebetween within the device via a bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit ), microprocessor, application specific integrated circuit (ApplicationSpecific Integrated Circuit, ASIC), or one or more integrated circuits, etc. for executing relevant programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory ), static storage device, dynamic storage device, or the like. Memory 1020 may store an operating system and other application programs, and when the embodiments of the present specification are implemented in software or firmware, the associated program code is stored in memory 1020 and executed by processor 1010.
The input/output interface 1030 is used to connect with an input/output module for inputting and outputting information. The input/output module may be configured as a component in a device (not shown) or may be external to the device to provide corresponding functionality. Wherein the input devices may include a keyboard, mouse, touch screen, microphone, various types of sensors, etc., and the output devices may include a display, speaker, vibrator, indicator lights, etc.
Communication interface 1040 is used to connect communication modules (not shown) to enable communication interactions of the present device with other devices. The communication module may implement communication through wired mode (such as USB (UniversalSerial Bus, universal serial bus), network cable, etc.), or may implement communication through wireless mode (such as mobile network, WIFI (Wireless Fidelity, wireless network communication technology), bluetooth, etc.).
Bus 1050 includes a path for transferring information between components of the device (e.g., processor 1010, memory 1020, input/output interface 1030, and communication interface 1040).
It should be noted that although the above-described device only shows processor 1010, memory 1020, input/output interface 1030, communication interface 1040, and bus 1050, in an implementation, the device may include other components necessary to achieve proper operation. Furthermore, it will be understood by those skilled in the art that the above-described apparatus may include only the components necessary to implement the embodiments of the present description, and not all the components shown in the drawings.
The electronic device of the foregoing embodiment is configured to implement the theoretical power calculation method of the corresponding photovoltaic power station in any foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which is not described herein.
Based on the same inventive concept, corresponding to any of the above embodiment methods, the present disclosure further provides a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the theoretical power calculation method of a photovoltaic power plant according to any of the above embodiments.
The computer readable media of the present embodiments, including both permanent and non-permanent, removable and non-removable media, may be used to implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device.
The computer instructions stored in the storage medium of the foregoing embodiments are used to make the computer execute the theoretical power calculation method of the photovoltaic power station according to any one of the foregoing embodiments, and have the beneficial effects of the corresponding method embodiments, which are not described herein.
Those of ordinary skill in the art will appreciate that: the discussion of any of the embodiments above is merely exemplary and is not intended to suggest that the scope of the disclosure, including the claims, is limited to these examples; the technical features of the above embodiments or in the different embodiments may also be combined under the idea of the present disclosure, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present disclosure as described above, which are not provided in details for the sake of brevity.
Additionally, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures, in order to simplify the illustration and discussion, and so as not to obscure the embodiments of the present disclosure. Furthermore, the devices may be shown in block diagram form in order to avoid obscuring the embodiments of the present disclosure, and this also accounts for the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform on which the embodiments of the present disclosure are to be implemented (i.e., such specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the disclosure, it should be apparent to one skilled in the art that embodiments of the disclosure can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative in nature and not as restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of those embodiments will be apparent to those skilled in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.
The disclosed embodiments are intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Accordingly, any omissions, modifications, equivalents, improvements, and the like, which are within the spirit and principles of the embodiments of the disclosure, are intended to be included within the scope of the disclosure.

Claims (10)

1. A method for calculating theoretical power of a photovoltaic power plant, the method comprising:
acquiring the installed capacity, the actual power, the first resource theoretical power at the first moment and the second resource theoretical power at the second moment of the electric collecting wire;
calculating to obtain target resource theoretical power at a target moment through a first resource algorithm based on the first resource theoretical power and the second resource theoretical power;
calculating to obtain the target resource available theoretical power through a second resource algorithm based on the target resource theoretical power;
Operating the installed capacity of the electric collecting wire to obtain the starting capacity of the electric collecting wire, and calculating the starting capacity of the electric collecting wire to obtain the full-field starting capacity;
determining a full-field limit electric mark bit according to the target resource theoretical power and the actual power;
calculating the target resource theoretical power and the target resource available theoretical power to obtain in-station blocked power and in-station blocked integral electric quantity;
and carrying out operation treatment on the available theoretical power and the actual power of the target resource to obtain peak regulation blocked power and peak regulation blocked integral electric quantity.
2. The method according to claim 1, wherein the calculating, based on the first resource theoretical power and the second resource theoretical power, the target resource theoretical power at the target time by the first resource algorithm includes:
calculating the target resource theoretical power at a target moment by the first resource algorithm based on the first resource theoretical power and the second resource theoretical power,
Figure QLYQS_1
wherein ,Pt,j At the target time T for the collector line j 3 Is the target resource theoretical power, T 1 For the first moment, T 2 For the second moment, P 1 For the first resource theoretical power at the first moment, P 2 Theoretical power for said second resource at a second instant.
3. The method according to claim 1, wherein the calculating, based on the target resource theoretical power, the target resource available theoretical power by a second resource algorithm includes:
calculating the available theoretical power of the target resource through the second resource algorithm based on the theoretical power of the target resource,
Figure QLYQS_2
wherein ,
Figure QLYQS_3
at the target time T for the collector line j 3 Theoretical power available to the target resource, C j For the installed capacity of the collector line j, T Cj The sum of the installed capacities of the inverters with abnormal status bits in the collector wires j.
4. The method of claim 1, wherein the performing operation on the installed capacity of the collector wire to obtain a starting capacity of the collector wire, and calculating a full-field starting capacity according to the starting capacity of the collector wire comprises:
acquiring the sum of the installed capacities of the inverters with abnormal state positions in the collecting wires j;
calculating the starting capacity of the electric collecting wire j based on the sum of the installed capacity of the electric collecting wire and the installed capacity of the inverter with the state bit in the electric collecting wire j being in an abnormal state,
Figure QLYQS_4
wherein ,OCj C is the starting capacity of the collector line j j For the installed capacity of the collector line j, T Cj The sum of the installed capacities of the inverters with abnormal state of the state bits in the collecting wires j;
based on the starting-up capacity of the collector line j, the full-field starting-up capacity is calculated,
Figure QLYQS_5
wherein O is the full-field startup capacity.
5. The method of claim 1, wherein said determining a full-field limit flag bit based on said target resource theoretical power and said actual power comprises:
determining the limit electric power mark position of the electric collecting wire through operation processing according to the target resource theoretical power and the actual power; wherein the limit electric potential comprises limit electric potential and non-limit electric potential;
based on the limit electric marking bit of the collecting wire, judging the full-field limit electric marking bit;
in response to determining that the limit flag bits for all of the collector lines in the full field are unconfined, the full field limit flag bits are unconfined;
in response to determining that the limit flag bit of the collector line is present in the full field is limited, the full field limit flag bit is limited.
6. The method of claim 1, wherein the calculating the target resource theoretical power and the target resource available theoretical power to obtain the in-station blocked power and the in-station blocked integrated power comprises:
Calculating the blocked power in the station based on the target resource theoretical power and the target resource available theoretical power,
Figure QLYQS_6
wherein ,Tet,j For the in-station blocked power, P t,j At the target time T for the collector line j 3 Is set to be equal to the target resource theoretical power,
Figure QLYQS_7
at the target time T for the collector line j 3 Theoretical power available to the target resource;
calculating the blocked integral electric quantity in the station through operation processing according to the blocked electric power in the station,
Figure QLYQS_8
wherein ,ITej And (3) integrating the electric quantity for blocking in the station, wherein T is the current moment.
7. The method according to claim 1, wherein the calculating the theoretical power and the actual power of the target resource to obtain peak-shaving blocked power and peak-shaving blocked integrated power includes:
calculating the peak shaving blocked power based on the available theoretical power of the target resource and the actual power,
Figure QLYQS_9
wherein ,Let,j Is blocked by the peak regulationThe electric power is supplied to the electric motor,
Figure QLYQS_10
at the target time T for the collector line j 3 Is the theoretical power available for the target resource, pr t,j The actual power of the collector line j;
according to the peak-shaving and blocking electric power, the peak-shaving and blocking integral electric quantity is obtained through calculation,
Figure QLYQS_11
wherein ,ILej And (3) integrating the electric quantity for peak regulation and blocking, wherein T is the current moment.
8. The method of claim 1, further comprising, after said calculating a target resource available theoretical power by a second resource algorithm based on said target resource theoretical power:
acquiring theoretical power of a target template mechanism and theoretical power available for the target template machine;
determining a first weight and a second weight corresponding to the target resource theoretical power and the target template theoretical power through a first neural network algorithm;
based on the first weight and the second weight, calculating the target resource theoretical power and the target template mechanism theoretical power to obtain target theoretical power;
determining a third weight and a fourth weight corresponding to the available theoretical power of the target resource and the available theoretical power of the target sample trigger through a second neural network algorithm;
and based on the third weight and the fourth weight, carrying out operation processing on the available theoretical power of the target resource and the available theoretical power of the target sample plate machine to obtain the target available theoretical power.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1 to 7 when the program is executed.
10. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1 to 7.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105391082A (en) * 2015-11-02 2016-03-09 北京四方继保自动化股份有限公司 Photovoltaic power station theoretical power calculation method based on classification sample inverters
CN111414582A (en) * 2020-03-12 2020-07-14 广西电网有限责任公司 Photovoltaic theoretical power calculation method, device, equipment and storage medium
CN115329251A (en) * 2022-10-14 2022-11-11 北京东润环能科技股份有限公司 Theoretical power calculation method and device for wind power station

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109103926B (en) * 2018-08-14 2020-01-03 清华大学 Photovoltaic power generation receiving capacity calculation method based on multi-radiation characteristic annual meteorological scene

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105391082A (en) * 2015-11-02 2016-03-09 北京四方继保自动化股份有限公司 Photovoltaic power station theoretical power calculation method based on classification sample inverters
CN111414582A (en) * 2020-03-12 2020-07-14 广西电网有限责任公司 Photovoltaic theoretical power calculation method, device, equipment and storage medium
CN115329251A (en) * 2022-10-14 2022-11-11 北京东润环能科技股份有限公司 Theoretical power calculation method and device for wind power station

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