CN114564695A - Method and device for acquiring reactive loss of new energy station - Google Patents
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Abstract
The invention provides a method and a device for acquiring reactive loss of a new energy station, wherein the method comprises the following steps: acquiring one or more groups of reactive data samples based on the target reactive power of the grid-connected point, wherein the reactive data samples comprise total reactive power data of a power generation unit and reactive power data of the grid-connected point; and inputting the reactive data sample and the target reactive power of the grid-connected point into a multivariate driving model to obtain the target total reactive power of the power generation unit output by the multivariate driving model, wherein the multivariate driving model is established based on the linear regression relationship between the total reactive power of the power generation unit and the reactive power of the grid-connected point, and the target total reactive power of the power generation unit is used for determining the reactive loss of the new energy station. According to the method and the device for acquiring the reactive loss of the new energy station, the reactive loss of the new energy station is acquired through the reactive data sample and the multivariate driving model, and the reliability of acquiring the reactive loss of the new energy station is improved.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a method and a device for acquiring reactive loss of a new energy station.
Background
And the new energy station connected to the direct-current extra-high voltage line needs to adopt an island operation mode. The reactive loss compensation control mode of the new energy station in the island operation mode needs to consider the reactive loss of the new energy station, and the accurate calculation of the reactive loss compensation of the new energy station is the core problem of the island operation mode.
The traditional reactive loss calculation mode of the new energy station depends on lines, box transformers, control unit electrical parameters and four-remote data, and the state estimation qualification rate is low, so that the problems of low reliability of calculated reactive loss and the like exist.
Disclosure of Invention
The invention provides a method and a device for acquiring reactive loss of a new energy station, which are used for solving the defect of low reactive loss calculation reliability in the prior art and improving the accuracy of reactive loss acquisition.
In a first aspect, the invention provides a method for acquiring reactive loss of a new energy station, which includes:
acquiring one or more groups of reactive data samples based on the target reactive power of the grid-connected point, wherein the reactive data samples comprise total reactive power data of a power generation unit and reactive power data of the grid-connected point;
and inputting the reactive data sample and the target reactive power of the grid-connected point to a multivariate driving model to obtain the target total reactive power of the power generation unit output by the multivariate driving model, wherein the multivariate driving model is established based on a linear regression relation between the total reactive power of the power generation unit and the reactive power of the grid-connected point, and the target total reactive power of the power generation unit is used for determining the reactive loss of the new energy station.
Optionally, the multivariate driving model is:
wherein,
target reactive power for a grid-connected point; qgentarA target total reactive power for the power generation unit; qgeniThe total reactive power of the power generation unit for the ith set of reactive data samples,
and the grid-connected point reactive power of the ith group of reactive data samples.
Optionally, the obtaining one or more sets of reactive data samples based on the grid-connected point target reactive power includes:
determining a sample screening interval based on the target reactive power of a grid-connected point and preset precision;
and determining the historical sample of which the reactive power of the grid-connected point meets the sample screening interval as the reactive data sample.
Optionally, before inputting the reactive data samples and the grid-connected point target reactive power to the multivariate driving model, the method further includes: and determining that the number of the reactive data samples is greater than or equal to a preset sample number.
Optionally, the method further comprises:
under the condition that the number of the reactive data samples is smaller than the preset number of samples, acquiring real-time reactive data of the new energy station;
inputting the real-time reactive data of the new energy station into an inductance equivalent model, and obtaining the equivalent inductance of the new energy station output by the inductance equivalent model;
and obtaining the reactive loss of the new energy station and the target total reactive power of the power generation unit based on the equivalent inductance and the target reactive power of the grid-connected point.
Optionally, the method further comprises:
determining reactive power regulating quantity of each power generation unit based on target total reactive power of the power generation units, reactive rated capacity of each power generation unit and reactive rated total capacity of the new energy station;
and sending a reactive power regulation instruction to each power generation unit based on the reactive power regulation amount.
In a second aspect, the present invention further provides an apparatus for acquiring reactive loss of a new energy station, including:
the system comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring one or more groups of reactive data samples based on the target reactive power of a grid-connected point, and the reactive data samples comprise total reactive power data of a power generation unit and reactive power data of the grid-connected point;
and the model unit is used for inputting the reactive data samples and the grid-connected point target reactive power into a multivariate driving model to obtain the target total reactive power of the power generation unit output by the multivariate driving model, and the multivariate driving model is established based on the linear regression relationship between the total reactive power of the power generation unit and the grid-connected point reactive power.
In a third aspect, the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the program, the method for acquiring the reactive power loss of the new energy station according to the first aspect is implemented.
In a fourth aspect, the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for acquiring reactive power loss of a new energy farm according to the first aspect.
In a fifth aspect, the present invention further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the method for acquiring the reactive power loss of the new energy station according to the first aspect is implemented.
According to the method and the device for acquiring the reactive loss of the new energy station, the reactive loss of the new energy station is acquired through the reactive data sample and the multivariate driving model, and the reliability of acquiring the reactive loss is improved. In addition, according to the method for acquiring the reactive power loss of the new energy station, provided by the embodiment of the invention, the linear regression relationship between the historical data and the variable is comprehensively utilized, the reactive power loss of the new energy station is reduced from a complex function to a unitary function, and the problems of slow uplink data and complex network loss calculation of the traditional new energy power generation unit are solved.
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In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is one of schematic flow diagrams of a method for acquiring reactive power loss of a new energy station according to an embodiment of the present invention;
fig. 2 is a second schematic flowchart of a method for acquiring reactive power loss of a new energy station according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an apparatus for acquiring reactive loss of a new energy station according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The technical terms related to the invention are described as follows:
AVC: AVC is an abbreviation for Automatic Voltage Control, commonly known as Automatic Voltage Control. The control system is deployed at a new energy station end and used for receiving an AVC main station instruction of a power grid and enabling the voltage/reactive power of a grid-connected point to meet the requirements of the main station by regulating and controlling reactive power equipment in the station, and the control system is a main control means for controlling the reactive power of the new energy station by the power grid.
Active power: directly consuming electric energy, converting the electric energy into mechanical energy, heat energy, chemical energy or sound energy, utilizing the energy to do work, and the part of power is called active power;
reactive power: consuming electric energy, but only converting it into another form of energy, which is a prerequisite for the electric equipment to be able to do work, and which is periodically converted with electric energy in the grid, this part of the power being called reactive power.
A power generation unit: the new energy station power generation unit mainly refers to a new energy station active minimum control unit; for photovoltaic power stations, photovoltaic inverters are mainly referred to; the wind power plant mainly refers to a wind turbine generator cluster or a wind turbine energy management platform.
And (3) grid connection point: and a new energy station power output summary point. The assessment for new energy is generally all at the point of connection.
Reactive loss: the reactive loss of the new energy station mainly comes from equipment such as a power generation unit, a power generation unit transformer, a circuit and a main transformer.
SVG: the dynamic reactive power compensation device can dynamically send out and absorb reactive power. The method has the characteristics of quick response and accurate adjustment. The SVG reactive capacity needs to be reserved to the maximum extent in AVC regulation of a general new energy station.
The traditional new energy plant station connected to an alternating current power grid adopts an alternating current networking operation mode. The command value received by the new energy station in the alternating-current networking operation mode is the voltage target value of the grid-connected bus, the command issuing period is 5 minutes, and the control period is different from 30s to 90s according to the equipment response condition. However, the new energy plant station connected to the direct-current extra-high voltage line adopts a constant voltage control mode for the alternating-current bus by the control system of the converter station, and the reactive power regulation of the direct-current system of the converter station is faster and larger in capacity than that of the new energy station, the new energy station is shorter in electrical distance and close in electrical connection with the direct-current converter station, and the influence of the reactive power regulation of the new energy station on the regional voltage is small due to the factors. If the traditional voltage regulation command is still adopted, the situation of reactive overshoot of the new energy station and reactive flow and frequent oscillation in the area can be caused. Therefore, an island operation mode is needed for a new energy plant station connected to the direct-current extra-high voltage line. The instruction value of the reactive power target value received by the new energy station in the island operation mode is 1min, and the control period of each round is 15 s. Currently, the island mode is controlled by two control modes: firstly, the SVG action is prioritized, and the instruction value of the reactive target value can be met quickly. After the reactive power target value of the main station is met, reactive power replacement of the power generation unit and the SVG is needed, and reactive power is increased for standby. Because reactive loss of the new energy plant station cannot be accurately calculated, when the replacement step length is large, the reactive power of a grid-connected point frequently exceeds the assessment interval, and assessment cost is increased; when the replacement step length is small, the replacement effect is not obvious, and the reactive standby is always insufficient; and secondly, the power generation unit is prioritized to act, and high requirements are provided for the performance of the power generation unit and the communication timeliness. If the full-field reactive loss can not be accurately calculated, the reactive target of the grid-connected point can not quickly and timely respond to the reactive target value.
Both control modes need to consider the reactive loss of the new energy plant station, so that the accurate calculation of the reactive loss compensation of the new energy plant station is the core problem of an island operation mode. If the reactive power loss of the station is accurately calculated, reactive power oscillation is avoided during reactive power replacement when the SVG is preferentially operated; when the priority power generation unit acts, the defects of low performance and communication timeliness of the power generation unit can be overcome, and the purpose of quickly responding to the reactive target of the grid-connected point is achieved.
The method for acquiring the reactive loss of the new energy station provided by the embodiment of the invention is described below with reference to fig. 1-2.
Fig. 1 is one of schematic flow diagrams of a method for acquiring reactive loss of a new energy station according to an embodiment of the present invention, and as shown in fig. 1, the method for acquiring reactive loss of a new energy station according to an embodiment of the present invention includes:
specifically, the grid-connected point target reactive power refers to a reactive power target value executed by a grid-connected point of the new energy station at the next time or in the next control period. The reactive data sample refers to a data sample related to reactive power in historical operation data of the new energy station, and comprises total reactive power data of the power generation unit and reactive power data of a grid-connected point. The total reactive power of the power generation units refers to the sum of the reactive power of all the power generation units.
And 120, inputting the reactive data sample and the grid-connected point target reactive power into a multivariate driving model to obtain the target total reactive power of the power generation unit output by the multivariate driving model, wherein the multivariate driving model is established based on a linear regression relation between the total reactive power of the power generation unit and the grid-connected point reactive power, and the target total reactive power of the power generation unit is used for determining the reactive loss of the new energy station.
Specifically, the multivariate driving model is a linear regression model of the grid-connected point reactive power and the power generation unit target total reactive power, and since a change in the power generation unit target total reactive power has a significant influence on the grid-connected point reactive power, the grid-connected point reactive power is determined as an independent variable and the power generation unit target total reactive power is determined as a dependent variable based on linear regression analysis, a regression coefficient and a constant term are determined based on historical data samples (i.e., reactive data samples), and a value of the dependent variable (i.e., the power generation unit target total reactive power) can be predicted from a given value of the independent variable (i.e., the grid-connected point target reactive power) by the multivariate driving model.
According to the method for acquiring the reactive loss of the new energy station, the reactive loss of the new energy station is acquired through the reactive data sample and the multivariate driving model, a line, a box transformer substation and a control unit electrical parameter model do not need to be built, and information such as the line, the box transformer substation and the control unit electrical parameters, the current active power, the current reactive power and the current voltage is not depended on, so that the problems that an accurate parameter model does not exist due to four remote data loss, state estimation is difficult to converge, bad measurement cannot be filtered, and the reactive loss cannot be accurately calculated in the existing AVC system are solved, and accurate control is achieved. In addition, the method for acquiring the reactive power loss of the new energy station provided by the embodiment of the invention comprehensively utilizes the linear regression relationship between the historical data and the variable, reduces the reactive power loss of the new energy station from a complex function to a unitary function, solves the problems of slow uplink data, complex network loss calculation and low reliability of the traditional new energy power generation unit, and can be applied to a new energy electric field operating in an island mode.
Optionally, the multivariate driving model is:
wherein,
target reactive power for a grid-connected point; qgentarA target total reactive power for the power generation unit; qgeniThe total reactive power of the power generation unit for the ith set of reactive data samples,
the reactive power of the grid-connected point of the ith group of reactive data samples is shown, n is the total number of the reactive data samples, and n is a positive integer.
Optionally, the obtaining one or more sets of reactive data samples based on the grid-connected point target reactive power includes:
determining a sample screening interval based on the target reactive power of the grid-connected point and the preset precision;
and determining the historical sample of which the reactive power of the grid-connected point meets the sample screening interval as the reactive data sample.
Illustratively, the target reactive power of the grid-connected point is 100Mvar, 2% is taken as the preset precision, 98% to 102% (i.e., 98Mvar to 102Mvar) of the target reactive power of the grid-connected point is taken as a sample screening interval, and a historical sample of the new energy station where the reactive power of the grid-connected point falls in the sample screening interval is a reactive data sample.
Optionally, before inputting the reactive data samples and the grid-connected point target reactive power to the multivariate driving model, the method further includes: and determining that the number of the reactive data samples is greater than or equal to a preset sample number.
According to the method for acquiring the reactive loss of the new energy station, the reactive loss of the new energy station is acquired through the reactive data samples and the multivariate driving model, so that under the condition that the number of the reactive data samples is greater than or equal to the number of the preset samples, the sufficient historical data can be ensured, the accuracy of the regression coefficient and the constant term of the linear regression model is ensured, and the accuracy of the reactive loss of the new energy station is improved.
Optionally, the method further comprises:
step 210, acquiring real-time reactive data of the new energy station under the condition that the number of the reactive data samples is smaller than the preset number of samples;
specifically, the real-time reactive data refers to real-time data related to reactive power of the new energy field station, and includes total reactive power of a power generation unit of the new energy electric field, total active power of the power generation unit, reactive power of a grid-connected point and rated voltage of a main transformer.
Step 220, inputting the real-time reactive data of the new energy station into an inductance equivalent model, and obtaining the equivalent inductance of the new energy station output by the inductance equivalent model;
specifically, the inductance equivalent model is:
wherein X is equivalent inductance, QgenIs the total reactive power of the power generation unit,
for grid-connected point reactive power, UhRated voltage of main transformer, PgenThe total active power of the power generation unit.
And 230, obtaining the reactive loss of the new energy station and the target total reactive power of the power generation unit based on the equivalent inductance and the target reactive power of the grid-connected point.
Specifically, the equivalent inductance and the target reactive power of the grid-connected point are input into an equivalent reactive loss model, and the reactive loss of the new energy station output by the equivalent reactive loss model is obtained. The equivalent reactive loss model is as follows:
wherein, the delta Q is the reactive loss of the new energy station,
for grid-connected point target reactive power, PpccFor active power of point-of-connection, UpccThe grid-connected point voltage is X is equivalent inductance.
Since the target total reactive power of the power generation unit is equal to the sum of the target reactive power and the reactive loss of the grid-connected point, the formula is as follows:
therefore, the target total reactive power of the power generation unit can be obtained based on the grid-connected point target reactive power and the reactive loss of the new energy station.
The method for acquiring the reactive loss of the new energy station provided by the embodiment of the invention avoids the problem of output distortion of a multivariate driving model caused by insufficient historical samples under the condition of insufficient reactive data samples, and improves the reliability of acquiring the reactive loss of the new energy station.
Optionally, the method further comprises:
specifically, the reactive rated capacity of the power generation unit refers to the installed capacity of the ith power generation unit, the reactive rated total capacity of the new energy station refers to the total installed capacity of all the power generation units, and the reactive power adjustment amount of the power generation unit refers to the reactive power executed by the power generation unit.
The reactive power adjustment amount for each power generation unit may be determined based on a reactive power adjustment formula as follows:
wherein Q iscmdiThe reactive power regulating quantity of the power generation unit i; qniInstalled capacity, Q, of power generating unit inIs the total capacity of the power generation unit.
And 320, sending a reactive power regulation instruction to each power generation unit based on the reactive power regulation amount. Specifically, the reactive power adjustment instruction is used to instruct the power generation unit to execute reactive power.
According to the method for acquiring the reactive loss of the new energy station, the reactive loss of the new energy station is acquired through the reactive data sample and the multivariate driving model under the condition that the samples meet the preset number, and the reactive loss of the new energy station is acquired through the real-time reactive data and the equivalent model under the condition that the number of the samples is smaller than the preset number, so that the model calculation is simple, and the reliability of the reactive loss value is high. The problems that the traditional reactive loss depends on electrical parameters such as lines, box transformers and power generation units and four-remote data, the state estimation qualified rate is low, and the reactive loss value is low in reliability are solved.
Fig. 2 is a second schematic flow chart of the method for acquiring reactive loss of a new energy station according to the embodiment of the present invention, and as shown in fig. 2, the method for acquiring reactive loss of a new energy station according to the embodiment of the present invention includes:
and respectively establishing a multivariate driving model and an inductance equivalent model.
Selecting a corresponding model for calculation according to the number of the reactive data samples, exemplarily, presetting the number of the samples to be 10, and solving a target reactive power based on a multivariate driving model under the condition that the number of the reactive data samples is more than or equal to 10; and under the condition that the number of the reactive data samples is less than 10, obtaining the equivalent inductance based on the inductance equivalent model.
And obtaining the total target reactive power of the power generation unit and/or the reactive loss of the new energy station based on the result obtained in the last step and the grid-connected point target reactive power.
In the following, a possible implementation manner of the above steps in a specific embodiment is further described.
The inductance equivalent model formula is as follows:
wherein X is an equivalent inductor (i.e., a full-field equivalent inductor), QgenIs the total reactive power of the power generation unit,
for grid-connected point reactive power, UhRated voltage of main transformer, PgenThe total active power of the power generation unit.
The calculation formula of the multivariate driving model is as follows:
wherein the solving formulas of a and b are as follows:
known amounts are:
target reactive power for a grid-connected point; qgentarA target total reactive power for the power generation unit; qgeniThe total reactive power of the power generation unit for the ith set of reactive data samples,
and the grid-connected point reactive power of the ith group of reactive data samples.
Step 1, according to the target reactive power of the grid-connected point
Determining the reactive data sample to be 97 percent
To 103 percent
The sample screening interval is defined. And default N is 0, the historical samples meeting the sample screening interval are included in the reactive data samples, and the number N of the samples is added with 1. Finally, the method is divided into the following two cases according to the number of N:
n is less than 10, at the moment, the reactive data samples are considered to be insufficient, an inductance equivalent model is required to be quoted for calculation, and the step 3 is skipped;
n is more than or equal to 10, a multivariate driving model is introduced for calculation, and the step 2 is skipped;
step 2, introducing the successfully screened reactive data samples, calculating to obtain values a and b, substituting the values into the current multivariate driving model formula to obtain a target
Is calculated to obtain
Skipping to the step 5;
step 3, calculating to obtain a full-field equivalent inductance X according to current sampling data (real-time operation data of the new energy station);
step 4, calculating the whole-field reactive loss by using the equivalent inductance:
and 5: and if the reactive power control of the power generation unit is single machine control or cluster control. And distributing reactive power regulating quantity to each power generation unit by adopting a capacity average distribution strategy:
wherein Q iscmdiThe reactive power regulating quantity of the power generation unit i; qniInstalled capacity, Q, of power generating unit inIs the total capacity of the power generation unit.
In one embodiment, a 150MW new energy station, Ppcc＝42.98MW，
Uh115kV, grid point voltage Upcc＝114.17kV，Pgen＝47.07MW，Qgen20.34 Mvar. Target reactive
There are 60 wind generating sets, which are divided into three clusters. The cluster 1 is provided with 15 fans, the reactive rated capacity is 18.75Mvar, and the reactive power of the cluster 1 is 2.34 MVar; the cluster 2 is provided with 20 fans, the reactive rated capacity is 25Mvar, and the reactive power of the cluster 2 is 5 Mvar; the cluster 3 is provided with 25 fans, the reactive rated capacity is 31.25MVar, the reactive power of the cluster 3 is 6MVar, and the total capacity is 75 MVar.
Step 1, in
To the aim of
To
Screening the sample screening interval to screen out reactive dataSamples as shown in table 1, 11 samples in total:
TABLE 1 reactive data samples
Step 2, substituting the reactive sample data into the multivariate driving model to respectively obtain a-18.194061 and b-0.166652 when N is more than or equal to 10;
step 3 utilizing
Substituting a and b obtained in the step 2 into a multivariate driving model to obtain
And 4, sending a reactive power regulation instruction to each cluster by adopting a capacity average strategy:
cluster 1 reactive instruction:
cluster 2 reactive instruction:
cluster 3 reactive instruction:
the method for acquiring the reactive loss of the new energy station, provided by the embodiment of the invention, is simple and easy to calculate and has high reliability by using a data-driven linear regression method. The problems that the existing new energy station depends on electric parameters such as lines, box transformers and power generation units and four-remote data, the state estimation qualified rate is low, the calculated reactive loss reliability is not high and the like are solved. The method has the advantages that historical data and priori knowledge can be comprehensively utilized, effective information can be mined from the historical data through a deep learning technology, implicit rules between input and output are directly analyzed, a data-driven regression method is combined, the stability of the new energy electric field to the power grid is enhanced on the premise that the outside is not modified, the reactive power control accuracy of automatic voltage control is improved, the reactive power assessment cost of a new energy plant station and the reactive power coordination pressure of a previous-level new energy gathering area are reduced, and stable and accurate control is achieved.
The new energy station reactive loss acquisition device provided by the invention is described below, and the new energy station reactive loss acquisition device described below and the new energy station reactive loss acquisition method described above can be referred to correspondingly.
Fig. 3 is a schematic structural diagram of an apparatus for acquiring reactive loss of a new energy station according to an embodiment of the present invention, and as shown in fig. 3, the apparatus for acquiring reactive loss of a new energy station according to an embodiment of the present invention includes:
an obtaining unit 310, configured to obtain one or more groups of reactive data samples based on a grid-connected point target reactive power, where the reactive data samples include total reactive power data of a power generation unit and grid-connected point reactive power data;
the model unit 320 is configured to input the reactive data sample and the grid-connected point target reactive power into a multivariate driving model to obtain a power generation unit target total reactive power output by the multivariate driving model, where the multivariate driving model is established based on a linear regression relationship between the power generation unit total reactive power and the grid-connected point reactive power.
It should be noted that, the apparatus provided in the embodiment of the present invention can implement all the method steps implemented by the method embodiment and achieve the same technical effect, and detailed descriptions of the same parts and beneficial effects as the method embodiment in this embodiment are omitted here.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor)410, a communication Interface 420, a memory (memory)430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. The processor 410 may call logic instructions in the memory 430 to perform a method for acquiring reactive power loss of a new energy farm, the method including: acquiring one or more groups of reactive data samples based on the target reactive power of the grid-connected point, wherein the reactive data samples comprise total reactive power data of a power generation unit and reactive power data of the grid-connected point; and inputting the reactive data sample and the target reactive power of the grid-connected point to a multivariate driving model to obtain the target total reactive power of the power generation unit output by the multivariate driving model, wherein the multivariate driving model is established based on a linear regression relation between the total reactive power of the power generation unit and the reactive power of the grid-connected point, and the target total reactive power of the power generation unit is used for determining the reactive loss of the new energy station.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention further provides a computer program product, where the computer program product includes a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, a computer can execute the method for acquiring reactive power loss of a new energy station provided by the above methods, where the method includes: acquiring one or more groups of reactive data samples based on the target reactive power of the grid-connected point, wherein the reactive data samples comprise total reactive power data of a power generation unit and reactive power data of the grid-connected point; and inputting the reactive data sample and the target reactive power of the grid-connected point to a multivariate driving model to obtain the target total reactive power of the power generation unit output by the multivariate driving model, wherein the multivariate driving model is established based on a linear regression relation between the total reactive power of the power generation unit and the reactive power of the grid-connected point, and the target total reactive power of the power generation unit is used for determining the reactive loss of the new energy station.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium, on which a computer program is stored, the computer program, when being executed by a processor, implementing the method for acquiring reactive power loss of a new energy farm provided by the above methods, the method including: acquiring one or more groups of reactive data samples based on the target reactive power of the grid-connected point, wherein the reactive data samples comprise total reactive power data of a power generation unit and reactive power data of the grid-connected point; and inputting the reactive data sample and the target reactive power of the grid-connected point to a multivariate driving model to obtain the target total reactive power of the power generation unit output by the multivariate driving model, wherein the multivariate driving model is established based on a linear regression relation between the total reactive power of the power generation unit and the reactive power of the grid-connected point, and the target total reactive power of the power generation unit is used for determining the reactive loss of the new energy station.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for acquiring reactive loss of a new energy station is characterized by comprising the following steps:
acquiring one or more groups of reactive data samples based on the target reactive power of a grid-connected point, wherein the reactive data samples comprise total reactive power data of a power generation unit and reactive power data of the grid-connected point;
and inputting the reactive data sample and the target reactive power of the grid-connected point to a multivariate driving model to obtain the target total reactive power of the power generation unit output by the multivariate driving model, wherein the multivariate driving model is established based on a linear regression relation between the total reactive power of the power generation unit and the reactive power of the grid-connected point, and the target total reactive power of the power generation unit is used for determining the reactive loss of the new energy station.
2. The method for acquiring the reactive loss of the new energy station according to claim 1, wherein the multivariate driving model is as follows:
wherein,
target reactive power for a grid-connected point; qgentarA target total reactive power for the power generation unit; qgeniThe total reactive power of the power generation unit for the ith set of reactive data samples,
and the grid-connected point reactive power of the ith group of reactive data samples.
3. The method for acquiring reactive loss of a new energy station according to claim 1, wherein the acquiring one or more groups of reactive data samples based on the grid-connected point target reactive power includes:
determining a sample screening interval based on the target reactive power of a grid-connected point and preset precision;
and determining the historical sample of which the reactive power of the grid-connected point meets the sample screening interval as the reactive data sample.
4. The method for acquiring reactive loss of a new energy station according to claim 1, wherein before inputting the reactive data samples and the grid-connected point target reactive power into the multivariate driving model, the method further comprises: and determining that the number of the reactive data samples is greater than or equal to the preset number of samples.
5. The method for acquiring the reactive loss of the new energy station according to claim 4, further comprising:
under the condition that the number of the reactive data samples is smaller than the preset number of samples, acquiring real-time reactive data of the new energy station;
inputting the real-time reactive data of the new energy station into an inductance equivalent model, and obtaining the equivalent inductance of the new energy station output by the inductance equivalent model;
and obtaining the reactive loss of the new energy station and the target total reactive power of the power generation unit based on the equivalent inductance and the target reactive power of the grid-connected point.
6. The method for acquiring the reactive loss of the new energy station according to any one of claims 1 to 5, further comprising:
determining reactive power regulating quantity of each power generation unit based on target total reactive power of the power generation units, reactive rated capacity of each power generation unit and reactive rated total capacity of the new energy station;
and sending a reactive power regulation instruction to each power generation unit based on the reactive power regulation amount.
7. The utility model provides a new forms of energy station reactive loss's acquisition device which characterized in that includes:
the system comprises an acquisition unit, a power generation unit and a power distribution unit, wherein the acquisition unit is used for acquiring one or more groups of reactive data samples based on the target reactive power of a grid-connected point, and the reactive data samples comprise total reactive power data of the power generation unit and reactive power data of the grid-connected point;
and the model unit is used for inputting the reactive data sample and the grid-connected point target reactive power into a multivariate driving model to obtain the target total reactive power of the power generation unit output by the multivariate driving model, and the multivariate driving model is established based on a linear regression relation between the total reactive power of the power generation unit and the grid-connected point reactive power.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the method for acquiring reactive power loss of a new energy station according to any one of claims 1 to 6.
9. A non-transitory computer readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method for acquiring reactive power loss of a new energy farm according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the method for acquiring reactive power loss of a new energy farm according to any of claims 1 to 6.
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