CN116417995A - Method, device, equipment and medium for calculating generated energy - Google Patents
Method, device, equipment and medium for calculating generated energy Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a medium for calculating generated energy, and belongs to the technical field of photovoltaic power generation. Integrating a large number of schemes of each area array of the photovoltaic power station, simulating the integrated schemes by using a simulation strategy of batch simulation, and calculating to obtain annual simulation power generation of the whole photovoltaic power station. The problem that the distributed photovoltaic arrays distributed along with the slope situation cannot be uniformly simulated due to different azimuth angles and inclination angles is solved through batch simulation of all area arrays of the photovoltaic power station, the limitation of a single typical array is avoided, annual simulation generating capacity of the photovoltaic power station is accurately evaluated, and the risk of compensation loss is reduced.
Description
Technical Field
The present application relates to the technical field of photovoltaic power generation, and in particular, to a power generation amount calculation method, a power generation amount calculation device, a power generation amount calculation apparatus, and a computer readable storage medium.
Background
At present, in the calculation process of the generated energy of the photovoltaic power station, the whole photovoltaic power station is calculated by taking a certain array as a typical, and meanwhile, the simulation scheme corresponding to one generated energy related parameter is used for simulation, so that the generated energy of the whole photovoltaic power station is estimated. It has the following problems: the whole photovoltaic power station has large occupied area, the surrounding environments of different areas are different, and the generated energy obtained by taking a certain array as a typical simulation has larger deviation from a true value. The different topography leads to the photovoltaic array inclination of different areas and azimuth etc. all different, also can lead to the generated energy deviation great.
Disclosure of Invention
The main purpose of the application is to provide a generating capacity calculation method, a generating capacity calculation device, generating capacity calculation equipment and a computer readable storage medium, and aims to solve the technical problem that the generating capacity calculation of a photovoltaic power station in the conventional technology is inaccurate.
To achieve the above object, the present application provides a power generation amount calculation method, including:
determining the inclination angle and the azimuth angle of each area array of the photovoltaic power station according to the array key point coordinates of each area array of the photovoltaic power station;
based on the inclination angle and the azimuth angle, obtaining the power generation equivalent hours of each area array through batch simulation of a preset power generation capacity model;
and determining annual simulation generating capacity of the photovoltaic power station according to the power generation equivalent hours of each regional array.
The step of determining the inclination angle and the azimuth angle of each area array of the photovoltaic power station according to the array key point coordinates of each area array of the photovoltaic power station includes:
obtaining a key vector according to coordinates of key points of two adjacent arrays of each area array of the photovoltaic power station; the area array is expressed as an array matrix, and the array key points are any three vertexes on the array matrix corresponding to the area array;
And determining the normal vector of the area array according to the two key vectors, determining the complementary angle of the included angle between the normal vector and the horizontal plane as the inclination angle of each area array of the photovoltaic power station, and determining the included angle between the projection vector of the normal vector on the horizontal plane and the north-south direction as the azimuth angle of each area array of the photovoltaic power station.
The step of obtaining the power generation equivalent hours of each area array through batch simulation of a preset power generation amount model based on the inclination angle and the azimuth angle comprises the following steps of:
determining an inclination angle set and an azimuth angle set of each area array of the photovoltaic power station based on the inclination angle and the azimuth angle of each area array of the photovoltaic power station;
combining the inclination angle set and the azimuth angle set to obtain a generated energy simulation input parameter set, wherein elements in the generated energy simulation input parameter set consist of inclination angles and azimuth angles of the area array, and the number of the elements of the generated energy simulation input parameter set is equal to that of the inclination angle set or the azimuth angle set;
and carrying out batch simulation on the generated energy simulation input parameter set based on a preset generated energy model to obtain the power generation equivalent hours of each area array.
The step of performing batch simulation on the generated energy simulation input parameter set based on a preset generated energy model to obtain the power generation equivalent hours of each area array includes:
determining the target task number of the current task for carrying out batch simulation on the generated electricity simulation input parameter set and the busy simulation task number in the busy simulation host;
and based on the target task number and the busy simulation task number, the current task is shared to the busy simulation host and the idle simulation host for simulation.
Illustratively, after the step of distributing the current task to the busy and idle simulation hosts for simulation, the method includes:
counting the calling times of re-calling the host machine to execute the simulation of the current task when the simulation process of the current task is abnormal;
and if the calling times are greater than a preset calling threshold value, suspending the current task and adjusting the host machine to be in an idle state.
Illustratively, after the step of counting the number of calls for recalling the simulation of the current task performed by the host, the step of counting includes:
If the calling times are not greater than a preset calling threshold value, detecting whether the host is in a normal state or not;
if the host is in a normal state, exiting the simulation of the current task and recalling the host to execute the simulation of the current task;
and if the host is not in a normal state, distributing the simulation tasks in the host to other hosts.
Illustratively, the step of determining annual simulated power production of the photovoltaic power plant from the number of power generation equivalent hours of the respective regional arrays comprises:
determining the comprehensive equivalent hours of the photovoltaic power station through weighted summation according to the power generation equivalent hours of each area array; the weight of the weighted summation is the ratio of the number of the repeated elements in the target parameter set in the generated energy simulation input parameter set before the de-duplication optimization treatment to the total number of the area arrays in the photovoltaic power station;
and determining annual simulated power generation of the photovoltaic power station based on the comprehensive equivalent hours of each regional array.
Illustratively, the step of determining annual simulated power production of the photovoltaic power plant based on the comprehensive equivalent hours of each regional array comprises:
And determining annual simulation generating capacity of the photovoltaic power station according to the comprehensive equivalent hours, the installed capacity of the photovoltaic power station and the system efficiency.
The present application also provides a power generation amount calculation device, the device including:
the first calculation module is used for determining the inclination angle and the azimuth angle of each area array of the photovoltaic power station according to the array key point coordinates of each area array of the photovoltaic power station;
the simulation module is used for obtaining the power generation equivalent hours of each area array through batch simulation of a preset power generation capacity model based on the inclination angle and the azimuth angle;
and the second calculation module is used for determining annual simulation generating capacity of the photovoltaic power station according to the power generation equivalent hours of each area array.
The present application also provides a power generation amount calculation apparatus including: the power generation amount calculation method includes a memory, a processor, and a computer program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the power generation amount calculation method as described above.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the power generation amount calculation method as described above.
According to the generating capacity calculation method, the generating capacity calculation device, the generating capacity calculation equipment and the computer readable storage medium, the inclination angle and the azimuth angle of each area array of the photovoltaic power station are determined according to the array key point coordinates of each area array of the photovoltaic power station; based on the inclination angle and the azimuth angle, obtaining the power generation equivalent hours of each area array through batch simulation of a preset power generation capacity model; and determining annual simulation generating capacity of the photovoltaic power station according to the power generation equivalent hours of each regional array.
In the application, a large number of schemes of each area array of the photovoltaic power station are integrated, a simulation strategy of batch simulation is used for simulating the integrated schemes, and annual simulation power generation capacity of the whole photovoltaic power station is calculated. The problem that the distributed photovoltaic arrays distributed along with the slope situation cannot be uniformly simulated due to different azimuth angles and inclination angles is solved through batch simulation of all area arrays of the photovoltaic power station, the limitation of a single typical array is avoided, annual simulation generating capacity of the photovoltaic power station is accurately evaluated, and the risk of compensation loss is reduced.
Drawings
FIG. 1 is a schematic diagram of an operating device of a hardware operating environment according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of an embodiment of a method for calculating power generation according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an arrangement of components of an embodiment of a method for calculating an amount of generated electricity according to an embodiment of the present application;
FIG. 4 is a schematic diagram of component normal vectors of an embodiment of a method for calculating power generation according to an embodiment of the present application;
fig. 5 is a schematic flow chart of another embodiment of a power generation amount calculation method according to an embodiment of the present application;
fig. 6 is an application diagram of another embodiment of a power generation amount calculation method according to an embodiment of the present application;
fig. 7 is a schematic diagram of a power generation amount calculation apparatus according to an embodiment of the present application.
The realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments, referring to the attached drawings.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Referring to fig. 1, fig. 1 is a schematic diagram of an operating device of a hardware operating environment according to an embodiment of the present application.
As shown in fig. 1, the operation device may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 is not limiting of the operating device and may include more or fewer components than shown, or certain components may be combined, or a different arrangement of components.
As shown in fig. 1, an operating system, a data storage module, a network communication module, a user interface module, and a computer program may be included in the memory 1005 as one type of storage medium.
In the operating device shown in fig. 1, the network interface 1004 is mainly used for data communication with other devices; the user interface 1003 is mainly used for data interaction with a user; the processor 1001, the memory 1005 in the operation device of the present application may be provided in an operation device that calls a computer program stored in the memory 1005 through the processor 1001 and performs the following operations:
determining the inclination angle and the azimuth angle of each area array of the photovoltaic power station according to the array key point coordinates of each area array of the photovoltaic power station;
based on the inclination angle and the azimuth angle, obtaining the power generation equivalent hours of each area array through batch simulation of a preset power generation capacity model;
and determining annual simulation generating capacity of the photovoltaic power station according to the power generation equivalent hours of each regional array.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of determining the inclination angle and the azimuth angle of each area array of the photovoltaic power station according to the array key point coordinates of each area array of the photovoltaic power station comprises the following steps:
obtaining a key vector according to coordinates of key points of two adjacent arrays of each area array of the photovoltaic power station; the area array is expressed as an array matrix, and the array key points are any three vertexes on the array matrix corresponding to the area array;
and determining the normal vector of the area array according to the two key vectors, determining the complementary angle of the included angle between the normal vector and the horizontal plane as the inclination angle of each area array of the photovoltaic power station, and determining the included angle between the projection vector of the normal vector on the horizontal plane and the north-south direction as the azimuth angle of each area array of the photovoltaic power station.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of obtaining the power generation equivalent hours of each area array through batch simulation of a preset power generation capacity model based on the inclination angle and the azimuth angle comprises the following steps:
Determining an inclination angle set and an azimuth angle set of each area array of the photovoltaic power station based on the inclination angle and the azimuth angle of each area array of the photovoltaic power station;
combining the inclination angle set and the azimuth angle set to obtain a generated energy simulation input parameter set, wherein elements in the generated energy simulation input parameter set consist of inclination angles and azimuth angles of the area array, and the number of the elements of the generated energy simulation input parameter set is equal to that of the inclination angle set or the azimuth angle set;
and carrying out batch simulation on the generated energy simulation input parameter set based on a preset generated energy model to obtain the power generation equivalent hours of each area array.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of carrying out batch simulation on the generated energy simulation input parameter set based on a preset generated energy model to obtain the power generation equivalent hours of each area array comprises the following steps:
determining the target task number of the current task for carrying out batch simulation on the generated electricity simulation input parameter set and the busy simulation task number in the busy simulation host;
And based on the target task number and the busy simulation task number, the current task is shared to the busy simulation host and the idle simulation host for simulation.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
after the step of distributing the current task to the busy simulation host and the idle simulation host for simulation, the method comprises the following steps:
counting the calling times of re-calling the host machine to execute the simulation of the current task when the simulation process of the current task is abnormal;
and if the calling times are greater than a preset calling threshold value, suspending the current task and adjusting the host machine to be in an idle state.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
after the step of counting the number of times of recall of the simulation of the current task executed by the host machine, the method comprises the following steps:
if the calling times are not greater than a preset calling threshold value, detecting whether the host is in a normal state or not;
if the host is in a normal state, exiting the simulation of the current task and recalling the host to execute the simulation of the current task;
And if the host is not in a normal state, distributing the simulation tasks in the host to other hosts.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of determining annual simulated power generation of the photovoltaic power plant according to the power generation equivalent hours of the area arrays comprises the following steps:
determining the comprehensive equivalent hours of the photovoltaic power station through weighted summation according to the power generation equivalent hours of each area array; the weight of the weighted summation is the ratio of the number of the repeated elements in the target parameter set in the generated energy simulation input parameter set before the de-duplication optimization treatment to the total number of the area arrays in the photovoltaic power station;
and determining annual simulated power generation of the photovoltaic power station based on the comprehensive equivalent hours of each regional array.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of determining annual simulated power production of the photovoltaic power plant based on the comprehensive equivalent hours of each regional array comprises:
And determining annual simulation generating capacity of the photovoltaic power station according to the comprehensive equivalent hours, the installed capacity of the photovoltaic power station and the system efficiency.
An embodiment of the present application provides a power generation amount calculation method, referring to fig. 2, in an embodiment of the power generation amount calculation method, the method includes:
and S10, determining the inclination angle and the azimuth angle of each area array of the photovoltaic power station according to the array key point coordinates of each area array of the photovoltaic power station.
The photovoltaic array formed by a plurality of areas is installed in the photovoltaic power station along the slope, the actual orientation and azimuth angle of the photovoltaic array can be changed compared with the design index, and the pre-designed optimal inclination angle and azimuth angle are not the optimal inclination angle and azimuth angle, so that the generated energy of the photovoltaic power station needs to be recalculated by means of a model or algorithm, and the purposes of more accurate generated energy and more reliable data are achieved.
In one embodiment, the coordinates of the array key points of each area array are obtained by calling a drawing scanned by a device such as an unmanned plane.
In an embodiment, one area corresponds to one photovoltaic array, and in the case that the area is rectangular, the array key point coordinates of the area array are coordinates of any three vertexes of the area array, and the inclination angle and the azimuth angle of each area array are obtained through calculation through the array key point coordinates of each area array.
The step of determining the inclination angle and the azimuth angle of each area array of the photovoltaic power station according to the array key point coordinates of each area array of the photovoltaic power station includes:
obtaining a key vector according to coordinates of key points of two adjacent arrays of each area array of the photovoltaic power station; the area array is expressed as an array matrix, and the array key points are any three vertexes on the array matrix corresponding to the area array;
and determining the normal vector of the area array according to the two key vectors, determining the complementary angle of the included angle between the normal vector and the horizontal plane as the inclination angle of each area array of the photovoltaic power station, and determining the included angle between the projection vector of the normal vector on the horizontal plane and the north-south direction as the azimuth angle of each area array of the photovoltaic power station.
In an embodiment, a drawing of each area photovoltaic array is obtained by calling equipment such as an unmanned aerial vehicle to scan the photovoltaic arrays of a plurality of areas installed along with the slope, the area arrays are expressed as array matrixes in the drawing, and array key point coordinates of each area array are stored in the array matrixes, wherein the array key points are at least any three vertexes on the array matrixes corresponding to the area arrays.
Referring to fig. 3 and 4, in one embodiment, three spatial coordinates of a (up), B (right), and C (left) are called a (a) x ,a y ,a z )、B(b x ,b y ,b z )、C(c x ,c y ,c z ). Then vectorizing the coordinates to obtain key vectors
Let the normal vector of the array surface be +.>
Using the vector basic theorem: the vertical two-vector inner sum is 0, and the easy-to-get normal vector +.>
The specific solution process is not described here in detail, and for convenience of explanation, the normal vector is defined as +.>
Finally, according to the space vector, the inclination angle and the azimuth angle are respectively calculated, and the calculation method is as follows:
tilt angle of area array:
azimuth of the area array (let the array face be 0 towards the positive south, positive towards the west, negative towards the east):
where sign is a sign function that returns an integer variable indicating the sign of the parameter. Number parameters in Sign (number) are any valid numerical expression, if number is greater than 0, sign returns 1; if number is equal to 0, 0 is returned; if number is less than 0, return to-1.
And step S20, obtaining the power generation equivalent hours of each area array through batch simulation of a preset power generation capacity model based on the inclination angle and the azimuth angle.
And step S30, determining annual simulation generating capacity of the photovoltaic power station according to the power generation equivalent hours of each regional array.
After the inclination angle and the azimuth angle of each area array of the photovoltaic power station are calculated, the equivalent power generation hours of each area array can be obtained through batch simulation of a preset power generation capacity model based on the inclination angle and the azimuth angle. In the present embodiment, the power generation amount model is not limited. And finally, calculating to obtain annual simulation generating capacity of the whole photovoltaic power station according to the equivalent generating hours of each regional array.
In the embodiment, according to the array key point coordinates of each area array of the photovoltaic power station, determining the inclination angle and the azimuth angle of each area array of the photovoltaic power station; based on the inclination angle and the azimuth angle, obtaining the power generation equivalent hours of each area array through batch simulation of a preset power generation capacity model; and determining annual simulation generating capacity of the photovoltaic power station according to the power generation equivalent hours of each regional array.
In the embodiment, a large number of schemes of each area array of the photovoltaic power station are integrated, a simulation strategy of batch simulation is used for simulating the integrated schemes, and annual simulation power generation capacity of the whole photovoltaic power station is calculated. The problem that the distributed photovoltaic arrays distributed along with the slope situation cannot be uniformly simulated due to different azimuth angles and inclination angles is solved through batch simulation of all area arrays of the photovoltaic power station, the limitation of a single typical array is avoided, annual simulation generating capacity of the photovoltaic power station is accurately evaluated, and the risk of compensation loss is reduced.
In another embodiment of the power generation amount calculation method, the step of obtaining the power generation equivalent hours of each area array through batch simulation of a preset power generation amount model based on the inclination angle and the azimuth angle includes:
determining an inclination angle set and an azimuth angle set of each area array of the photovoltaic power station based on the inclination angle and the azimuth angle of each area array of the photovoltaic power station;
combining the inclination angle set and the azimuth angle set to obtain a generated energy simulation input parameter set, wherein elements in the generated energy simulation input parameter set consist of inclination angles and azimuth angles of the area array, and the number of the elements of the generated energy simulation input parameter set is equal to that of the inclination angle set or the azimuth angle set;
and carrying out batch simulation on the generated energy simulation input parameter set based on a preset generated energy model to obtain the power generation equivalent hours of each area array.
In the present embodiment, a method for calculating the number of power generation equivalent hours for each area array is provided.
After the inclination angle and the azimuth angle of each area array of the photovoltaic power station are obtained through calculation, the inclination angle and the azimuth angle are respectively processed to obtain an inclination angle set and an azimuth angle set of each area array of the photovoltaic power station . In one embodiment, the set of tilt angles α { α 1 ,α 2 ,α 3 ……α m Sum of azimuth angles beta { beta } 1 ,β 2 ,β 3 ……β m Saved in each of the areas are the tilt angles and azimuth angles of the area arrays 1 to m. Wherein, the inclination angle and the azimuth angle are calculated as decimal, and rounding can be performed by using a rounding method.
And then, combining the inclination angle set and the azimuth angle set to obtain a generating capacity simulation input parameter set. In one embodiment, the inclination angle set and the azimuth angle set are combined to obtain a power generation amount simulation input parameter set alpha beta { alpha } 1 β 1 ,α 2 β 2 ,α 3 β 3 ……α m β m And the operation of combination is not mathematical operation, but is just combination of numerical values.
And finally, obtaining the equivalent power generation hours of each area array through batch simulation of a preset power generation model based on the power generation simulation input parameter set.
The step of performing batch simulation on the generated energy simulation input parameter set based on the preset generated energy model to obtain the power generation equivalent hours of each area array includes:
determining repeated elements with the same inclination angle and azimuth angle in the generated energy simulation input parameter set;
performing de-duplication optimization treatment on the repeated elements in the generated energy simulation input parameter set to obtain a target parameter set;
The step of carrying out batch simulation on the generated energy simulation input parameter set based on a preset generated energy model to obtain the power generation equivalent hours of each area array comprises the following steps:
and carrying out batch simulation on the target parameter set based on a preset power generation amount model to obtain the power generation equivalent hours of each area array.
In this embodiment, an optimization processing method for data deduplication is provided to obtain more accurate power generation.
Before the generating equivalent hours of each area array are obtained through batch simulation of a preset generating capacity model based on the generating capacity simulation input parameter set, firstly, determining repeated elements with the same inclination angle and azimuth angle in the generating capacity simulation input parameter set, namely the area array with the same inclination angle and azimuth angle, then, performing deduplication optimization processing on the repeated elements in the generating capacity simulation input parameter set, and only reserving one element of the repeated elements, thereby obtaining a target parameter set and the element number of the repeated elements in the generating capacity simulation input parameter set before the deduplication optimization processing.
In one embodiment, the inclination angle and azimuth angle completely repeated elements and the element number in the generated energy simulation input parameter set are determined, redundant elements are removed, and only 1 element is reserved, so that an optimized target parameter set alpha beta { alpha } is obtained 1 β 1 ,α 2 β 2 ,α 3 β 3 ……α n β n Sum number set (element number) N { N 1 ,N 2 ,N 3 ……N n In the target parameter set alpha beta { alpha }, alpha 1 β 1 ,α 2 β 2 ,α 3 β 3 ……α n β n Each element in the power generation simulation input parameter set is a unique element, namely the number of the area arrays with the inclination angle alpha 1 and the azimuth angle beta 1 is N1, namely N1 area arrays with the inclination angle alpha 1 and the azimuth angle beta 1 are arranged in the power generation simulation input parameter set.
In this embodiment, after determining the target parameter set and the element number, when calculating the power generation equivalent hours of each area array, based on the target parameter set and the array parameters, the power generation equivalent hours of each area array are obtained through batch simulation of a preset power generation model. Wherein the array parameters include array height, array spacing, and the like.
In one embodiment, a batch simulation is performed by using a preset power generation model, so as to obtain a power generation equivalent hour number set h { h) corresponding to input parameters (inclination angle, azimuth angle and array parameters) of each area array 1 ,h 2 ,h 3 ……h n }。
In another embodiment of the power generation amount calculation method, referring to fig. 5, the step of performing batch simulation on the power generation amount simulation input parameter set based on a preset power generation amount model to obtain the power generation equivalent hours of each area array includes:
Step S20A: determining the target task number of the current task for carrying out batch simulation on the generated electricity simulation input parameter set and the busy simulation task number in the busy simulation host;
step S20B: and based on the target task number and the busy simulation task number, the current task is shared to the busy simulation host and the idle simulation host for simulation.
In an embodiment, the host is an operation device as shown in fig. 1, and the simulation task can be operated on the host, where the host that is operating the simulation task is a busy simulation host, and the host that is not operating the simulation task is an idle simulation host.
If the simulation schemes are too many, all results cannot be simulated in a limited simulator in a short time, so in the embodiment, a new simulation strategy is provided for batch simulation, and the number of simulated combinations can be automatically split into various simulation hosts in a mode of shortest simulation time, so that quick simulation is realized.
Each task has a plurality of schemes for generating capacity simulation, and if the simulation is performed on one simulator, the simulation is required to be performed for N times in series on the assumption that N schemes are required to be performed on one task. In order to improve efficiency, in one embodiment, multiple simulation hosts are provided, and N simulation schemes simulate on M simulation hosts. In one embodiment, two simulation hosts are provided, and N simulation schemes are equally divided into 2 simulation hosts at a time. If one simulation host is busy, determining how many schemes remain for the busy simulation host for simulation, and then equally dividing the remaining schemes plus N target schemes of the current task according to time, namely, distributing more idle simulation hosts, distributing less busy simulation hosts, so that the simulation schemes of the current task can complete simulation at the same time as much as possible, and saving time.
In this embodiment, simulation resources are utilized to the greatest extent, the shortest simulation time is ensured as much as possible, and stable operation can be finished.
Illustratively, after the step of distributing the current task to the busy and idle simulation hosts for simulation, the method includes:
counting the calling times of re-calling the host machine to execute the simulation of the current task when the simulation process of the current task is abnormal;
and if the calling times are greater than a preset calling threshold value, suspending the current task and adjusting the host machine to be in an idle state.
Referring to fig. 6, an abnormality may be caused by an operation problem during the simulation of the current task, and an abnormality detection and recall are required. Counting the calling times of the host machine for executing the simulation of the current task, setting the calling times to be not more than 3 times, suspending the current task to not perform the simulation if the calling times are more than 3 times, adjusting the host machine to be in an idle state, and waiting for the calling of other tasks.
Illustratively, after the step of counting the number of calls for recalling the simulation of the current task performed by the host, the step of counting includes:
If the calling times are not greater than a preset calling threshold value, detecting whether the host is in a normal state or not;
if the host is in a normal state, exiting the simulation of the current task and recalling the host to execute the simulation of the current task;
and if the host is not in a normal state, distributing the simulation tasks in the host to other hosts.
If the number of calls does not exceed 3, it is checked whether the emulated host is in a normal state. Because host exceptions are sometimes caused by timeouts or other factors, recall will function properly.
If the host is normal, the software is abnormal, the simulation of the current task is stopped, and the host is called again to execute the simulation of the current task.
If the host is abnormal, the hardware of the host is abnormal, and the scheme which is not simulated yet needs to be proposed and distributed to other machines for simulation, namely, the simulation tasks in the host are distributed to other hosts.
In this embodiment, through the above simulation strategy, it is ensured that the operation can be stably and rapidly performed until the end without human participation.
In another embodiment of the power generation amount calculation method, the step of determining annual simulated power generation amount of the photovoltaic power station according to the power generation equivalent hours of each area array includes:
determining the comprehensive equivalent hours of the photovoltaic power station through weighted summation according to the power generation equivalent hours of each area array; the weight of the weighted summation is the ratio of the number of the repeated elements in the target parameter set in the generated energy simulation input parameter set before the de-duplication optimization treatment to the total number of the area arrays in the photovoltaic power station;
and determining annual simulated power generation of the photovoltaic power station based on the comprehensive equivalent hours of each regional array.
In the embodiment, a calculation method of annual simulation power generation of a photovoltaic power station is provided.
In the embodiment, after the number of power generation equivalent hours of each area array is calculated, the comprehensive equivalent hours of the photovoltaic power station is calculated by weighting summation according to the number of power generation equivalent hours of each area array, the weight calculated by weighting summation is the ratio of the number of elements to the total number of each area array in the photovoltaic power station,
In one implementation manner, the comprehensive equivalent hours of the photovoltaic power station are calculated by using a weighted summation method, wherein the weight is the total number of the number sets (the number of elements) N, namely the weight corresponding to the number h1 of the power generation equivalent hours is the total number N1 of the regional arrays m of the photovoltaic power station. The calculation method is as follows:
illustratively, the step of determining annual simulated power production of the photovoltaic power plant based on the comprehensive equivalent hours of each regional array comprises:
and determining annual simulation generating capacity of the photovoltaic power station according to the comprehensive equivalent hours, the installed capacity of the photovoltaic power station and the system efficiency.
And then, calculating the annual simulation generating capacity of the photovoltaic power station according to the comprehensive equivalent hours, the installed capacity and the system efficiency of the photovoltaic power station. The annual energy generation capacity E of the whole power station is obtained: e=h·w·η, wherein W represents the entire plant dc installed capacity; η represents system efficiency.
Referring to fig. 7, in addition, the embodiment of the present application further provides a power generation amount calculation apparatus including:
the first calculation module M1 is used for determining the inclination angle and the azimuth angle of each area array of the photovoltaic power station according to the array key point coordinates of each area array of the photovoltaic power station;
The simulation module M2 is used for obtaining the power generation equivalent hours of each area array through batch simulation of a preset power generation capacity model based on the inclination angle and the azimuth angle;
and the second calculation module M3 is used for determining annual simulation generating capacity of the photovoltaic power station according to the power generation equivalent hours of each area array.
Illustratively, the first computing module is further configured to:
obtaining a key vector according to coordinates of key points of two adjacent arrays of each area array of the photovoltaic power station; the area array is expressed as an array matrix, and the array key points are any three vertexes on the array matrix corresponding to the area array;
and determining the normal vector of the area array according to the two key vectors, determining the complementary angle of the included angle between the normal vector and the horizontal plane as the inclination angle of each area array of the photovoltaic power station, and determining the included angle between the projection vector of the normal vector on the horizontal plane and the north-south direction as the azimuth angle of each area array of the photovoltaic power station.
Illustratively, the simulation module is further configured to:
determining an inclination angle set and an azimuth angle set of each area array of the photovoltaic power station based on the inclination angle and the azimuth angle of each area array of the photovoltaic power station;
Combining the inclination angle set and the azimuth angle set to obtain a generated energy simulation input parameter set, wherein elements in the generated energy simulation input parameter set consist of inclination angles and azimuth angles of the area array, and the number of the elements of the generated energy simulation input parameter set is equal to that of the inclination angle set or the azimuth angle set;
and carrying out batch simulation on the generated energy simulation input parameter set based on a preset generated energy model to obtain the power generation equivalent hours of each area array.
Illustratively, the power generation amount calculation apparatus further includes a deduplication optimization module configured to:
before the step of carrying out batch simulation on the generated energy simulation input parameter set based on a preset generated energy model to obtain the power generation equivalent hours of each area array:
determining repeated elements with the same inclination angle and azimuth angle in the generated energy simulation input parameter set;
performing de-duplication optimization processing on the repeated elements in the generated energy simulation input parameter set to obtain a target parameter set
Illustratively, the simulation module is further configured to:
determining the target task number of the current task for carrying out batch simulation on the generated electricity simulation input parameter set and the busy simulation task number in the busy simulation host;
And based on the target task number and the busy simulation task number, the current task is shared to the busy simulation host and the idle simulation host for simulation.
Illustratively, the simulation module is further configured to:
after the step of distributing the current task to the busy simulation host and the idle simulation host for simulation:
counting the calling times of re-calling the host machine to execute the simulation of the current task when the simulation process of the current task is abnormal;
and if the calling times are greater than a preset calling threshold value, suspending the current task and adjusting the host machine to be in an idle state.
Illustratively, the simulation module is further configured to:
after the step of counting the number of calls for recalling the simulation of the current task performed by the host:
if the calling times are not greater than a preset calling threshold value, detecting whether the host is in a normal state or not;
if the host is in a normal state, exiting the simulation of the current task and recalling the host to execute the simulation of the current task;
and if the host is not in a normal state, distributing the simulation tasks in the host to other hosts.
Illustratively, the second computing module is further configured to:
determining the comprehensive equivalent hours of the photovoltaic power station through weighted summation according to the power generation equivalent hours of each area array; the weight of the weighted summation is the ratio of the number of the repeated elements in the target parameter set in the generated energy simulation input parameter set before the de-duplication optimization treatment to the total number of the area arrays in the photovoltaic power station;
and determining annual simulated power generation of the photovoltaic power station based on the comprehensive equivalent hours of each regional array.
Illustratively, the second computing module is further configured to:
and determining annual simulation generating capacity of the photovoltaic power station according to the comprehensive equivalent hours, the installed capacity of the photovoltaic power station and the system efficiency.
The generated energy calculation device adopts the generated energy calculation method in the embodiment, and solves the technical problem that generated energy calculation of a photovoltaic power station in the conventional technology is inaccurate. Compared with the conventional technology, the power generation amount calculating device provided by the embodiment of the present application has the same beneficial effects as the power generation amount calculating method provided by the above embodiment, and other technical features in the power generation amount calculating device are the same as the features disclosed by the method of the above embodiment, and are not described in detail herein.
Further, the present embodiment also provides a power generation amount calculation apparatus including: the power generation amount calculation method includes a memory, a processor, and a computer program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the power generation amount calculation method as described above.
Further, the embodiments of the present application also provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the power generation amount calculation method as described above.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the conventional technology in the form of a software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above, including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method described in the embodiments of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims of the present application.
Claims (12)
1. A power generation amount calculation method, characterized by comprising:
Determining the inclination angle and the azimuth angle of each area array of the photovoltaic power station according to the array key point coordinates of each area array of the photovoltaic power station;
based on the inclination angle and the azimuth angle, obtaining the power generation equivalent hours of each area array through batch simulation of a preset power generation capacity model;
and determining annual simulation generating capacity of the photovoltaic power station according to the power generation equivalent hours of each regional array.
2. The power generation amount calculation method according to claim 1, wherein the step of determining the inclination angle and the azimuth angle of each area array of the photovoltaic power station based on the array key point coordinates of each area array of the photovoltaic power station includes:
obtaining a key vector according to coordinates of key points of two adjacent arrays of each area array of the photovoltaic power station; the area array is expressed as an array matrix, and the array key points are any three vertexes on the array matrix corresponding to the area array;
and determining the normal vector of the area array according to the two key vectors, determining the complementary angle of the included angle between the normal vector and the horizontal plane as the inclination angle of each area array of the photovoltaic power station, and determining the included angle between the projection vector of the normal vector on the horizontal plane and the north-south direction as the azimuth angle of each area array of the photovoltaic power station.
3. The power generation amount calculation method according to claim 1, wherein the step of obtaining the number of power generation equivalent hours of each area array through batch simulation of a preset power generation amount model based on the inclination angle and the azimuth angle includes:
determining an inclination angle set and an azimuth angle set of each area array of the photovoltaic power station based on the inclination angle and the azimuth angle of each area array of the photovoltaic power station;
combining the inclination angle set and the azimuth angle set to obtain a generated energy simulation input parameter set, wherein elements in the generated energy simulation input parameter set consist of inclination angles and azimuth angles of the area array, and the number of the elements of the generated energy simulation input parameter set is equal to that of the inclination angle set or the azimuth angle set;
and carrying out batch simulation on the generated energy simulation input parameter set based on a preset generated energy model to obtain the power generation equivalent hours of each area array.
4. The power generation amount calculation method according to claim 3, characterized by comprising, before the step of performing batch simulation on the power generation amount simulation input parameter set based on a preset power generation amount model to obtain the power generation equivalent hours of each area array:
Determining repeated elements with the same inclination angle and azimuth angle in the generated energy simulation input parameter set;
and performing de-duplication optimization treatment on the repeated elements in the generated energy simulation input parameter set to obtain a target parameter set.
5. The power generation amount calculation method according to claim 3, wherein the step of performing batch simulation on the power generation amount simulation input parameter set based on a preset power generation amount model to obtain the power generation equivalent hours of each area array includes:
determining the target task number of the current task for carrying out batch simulation on the generated electricity simulation input parameter set and the busy simulation task number in the busy simulation host;
and based on the target task number and the busy simulation task number, the current task is shared to the busy simulation host and the idle simulation host for simulation.
6. The power generation amount calculation method according to claim 5, characterized by comprising, after the step of distributing the current task to the busy and idle simulation hosts for simulation:
counting the calling times of re-calling the host machine to execute the simulation of the current task when the simulation process of the current task is abnormal;
And if the calling times are greater than a preset calling threshold value, suspending the current task and adjusting the host machine to be in an idle state.
7. The power generation amount calculation method according to claim 6, characterized in that after the step of counting the number of calls for recalling the simulation of the host machine performing the current task, comprising:
if the calling times are not greater than a preset calling threshold value, detecting whether the host is in a normal state or not;
if the host is in a normal state, exiting the simulation of the current task and recalling the host to execute the simulation of the current task;
and if the host is not in a normal state, distributing the simulation tasks in the host to other hosts.
8. The power generation amount calculation method according to claim 1, characterized in that the step of determining annual simulated power generation amount of the photovoltaic power plant from the number of power generation equivalent hours of the respective regional arrays includes:
determining the comprehensive equivalent hours of the photovoltaic power station through weighted summation according to the power generation equivalent hours of each area array; the weight of the weighted summation is the ratio of the number of the repeated elements in the target parameter set in the generated energy simulation input parameter set before the de-duplication optimization treatment to the total number of the area arrays in the photovoltaic power station;
And determining annual simulated power generation of the photovoltaic power station based on the comprehensive equivalent hours of each regional array.
9. The power generation amount calculation method according to claim 8, characterized in that the step of determining annual simulated power generation of the photovoltaic power plant based on the comprehensive equivalent hours of each regional array includes:
and determining annual simulation generating capacity of the photovoltaic power station according to the comprehensive equivalent hours, the installed capacity of the photovoltaic power station and the system efficiency.
10. An electric power generation amount calculation apparatus, characterized by comprising:
the first calculation module is used for determining the inclination angle and the azimuth angle of each area array of the photovoltaic power station according to the array key point coordinates of each area array of the photovoltaic power station;
the simulation module is used for obtaining the power generation equivalent hours of each area array through batch simulation of a preset power generation capacity model based on the inclination angle and the azimuth angle;
and the second calculation module is used for determining annual simulation generating capacity of the photovoltaic power station according to the power generation equivalent hours of each area array.
11. A power generation amount calculation apparatus, characterized by comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the power generation amount calculation method of any one of claims 1 to 9.
12. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the power generation amount calculation method according to any one of claims 1 to 9.
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| CN202310373289.0A CN116417995A (en) | 2023-04-04 | 2023-04-04 | Method, device, equipment and medium for calculating generated energy |
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