CN108399505B - Distributed photovoltaic power supply access capacity planning method and terminal equipment - Google Patents
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Abstract
The invention relates to the technical field of photovoltaic access power grid planning, and provides a distributed photovoltaic power supply access capacity planning method and terminal equipment. The method comprises the following steps: acquiring daily load active electric quantity, daily load apparent power, photovoltaic daily power generation active electric quantity and photovoltaic daily power generation apparent power in a preset statistical period of a planning area, subtracting the photovoltaic daily power generation active electric quantity and the daily load active electric quantity to obtain a first difference sequence, and subtracting the photovoltaic daily power generation apparent power and the daily load apparent power to obtain a second difference sequence; calculating the median of the first difference sequence, and performing bilateral inspection on whether the median is reasonable; and determining the planning capacity of the planning area according to the result of the bilateral test, the first difference sequence and the second difference sequence. The method and the device can determine the planning capacity of the planning area by using the detected median of the daily net output electric quantity, and reduce the scale of transformation of the photovoltaic power supply to the power distribution network.
Description
Technical Field
The invention relates to the technical field of photovoltaic access power grid planning, in particular to a distributed photovoltaic power supply access capacity planning method and terminal equipment.
Background
The photovoltaic poverty relief is one of the technical means for implementing precise poverty relief in China, but because the rural power grid has large power supply radius and low load density, the problem of power supply quality of township better areas is mainly solved although rural power grid transformation is carried out for a long time, the photovoltaic poverty relief is carried out in a poverty relief mode in villages with relatively poor traffic conditions and economic foundations outside cities due to the requirements of fields, and the original net rack is difficult to meet the requirement of photovoltaic electric energy delivery. At present, the access capacity planning of a photovoltaic power supply is based on a power generation maximum value, so that the capacity standard of capacity increase in the transformation of a power distribution network is high, the transformation scale of the power distribution network is huge, and further, the investment scale required by photovoltaic poverty relief access to a rural power grid is too large to implement widely.
Disclosure of Invention
In view of this, the embodiment of the invention provides a distributed photovoltaic power access capacity planning method and terminal equipment, so as to solve the problems of huge modification scale and high implementation cost of a power distribution network caused by planning the photovoltaic power access capacity based on the maximum power generation value at present.
A first aspect of an embodiment of the present invention provides a method for planning access capacity of a distributed photovoltaic power supply, including:
acquiring daily load active electric quantity, daily load apparent power, photovoltaic daily power generation active electric quantity and photovoltaic daily power generation apparent power in a preset statistical period of a planning area, subtracting the photovoltaic daily power generation active electric quantity and the daily load active electric quantity to obtain a first difference sequence, and subtracting the photovoltaic daily power generation apparent power and the daily load apparent power to obtain a second difference sequence;
calculating the median of the first difference sequence, and performing bilateral inspection on whether the median is reasonable;
and determining the planning capacity of the planning area according to the result of the bilateral test, the first difference sequence and the second difference sequence.
A second aspect of the embodiments of the present invention provides a distributed photovoltaic power supply access capacity planning apparatus, including:
the acquisition module is used for acquiring daily load active electric quantity, daily load apparent power, photovoltaic daily power generation active electric quantity and photovoltaic daily power generation apparent power in a preset statistical period of a planning area, subtracting the photovoltaic daily power generation active electric quantity and the daily load active electric quantity to obtain a first difference sequence, and subtracting the photovoltaic daily power generation apparent power and the daily load apparent power to obtain a second difference sequence;
the detection module is used for calculating the median of the first difference sequence and carrying out bilateral detection on whether the median is reasonable or not;
and the processing module is used for determining the planning capacity of the planning area according to the result of the bilateral test, the first difference sequence and the second difference sequence.
A third aspect of the embodiments of the present invention provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the method for planning access capacity of a distributed photovoltaic power supply in the first aspect when executing the computer program.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the distributed photovoltaic power access capacity planning method of the first aspect.
Compared with the prior art, the embodiment of the invention has the following beneficial effects: the method comprises the steps of obtaining a first difference sequence and a second difference sequence according to daily load active electric quantity, daily load apparent power, photovoltaic daily generation active electric quantity and photovoltaic daily generation apparent power in a preset statistical period of a planning region, determining planning capacity of the planning region according to a bilateral test result of a median of the first difference sequence, the first difference sequence and the second difference sequence, determining the planning capacity of the planning region by using the median of daily net output electric quantity which is tested, avoiding the problem that capacity planning based on a maximum power generation value causes higher capacity standard of capacity increasing in power distribution network transformation, reducing capacity increasing capacity of a power distribution network, reducing transformation scale of the photovoltaic power supply accessing the power distribution network, and reducing implementation cost of the photovoltaic power supply accessing the power distribution network.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a flowchart of an implementation of a method for planning access capacity of a distributed photovoltaic power supply according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating implementation of bilateral inspection in a method for planning access capacity of a distributed photovoltaic power supply according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a distributed photovoltaic power access capacity planning apparatus provided in an embodiment of the present invention;
fig. 4 is a schematic diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Fig. 1 is a flowchart of an implementation of a method for planning access capacity of a distributed photovoltaic power supply according to an embodiment of the present invention, which is detailed as follows:
in S101, daily load active electric quantity, daily load apparent power, photovoltaic daily power generation active electric quantity and photovoltaic daily power generation apparent power in a preset statistical period of a planning area are obtained, the photovoltaic daily power generation active electric quantity and the daily load active electric quantity are differentiated to obtain a first difference sequence, and the photovoltaic daily power generation apparent power and the daily load apparent power are differentiated to obtain a second difference sequence.
In this embodiment, the planning area is a power grid area where photovoltaic power access capacity planning is required. The preset statistical period is a preset time period for acquiring historical data of power consumption and photovoltaic power generation of the power grid, and can be set according to actual requirements. For example, the preset statistical period may be three years, one year, one season, or the like.
Daily load active electric quantity and daily load apparent power of each day in a preset statistical period monitored by a distribution transformer in a planning region can be acquired through a power grid database, and daily photovoltaic power generation active electric quantity and daily photovoltaic power generation apparent power of each day in the preset statistical period metered by a meter for accessing a photovoltaic power supply in the planning region into a power grid are acquired.
The difference between the photovoltaic daily generation active electric quantity and the daily load active electric quantity of each day in the preset statistical period is used for obtaining a first difference value sequence, and data obtained by the difference between the photovoltaic daily generation active electric quantity and the daily load active electric quantity of the ith day can be recorded as delta Wi. Wherein, Δ WiPositive values indicate that the power generation is greater than the power consumption on day i, Δ WiNegative values indicate that the power generation was less than the power usage on day i. Obtaining a second difference sequence by subtracting the photovoltaic daily generation apparent power and the daily load apparent power of each day in a preset statistical period, and recording data obtained by subtracting the photovoltaic daily generation apparent power and the daily load apparent power of the ith day as delta Si。
In S102, a median of the first difference sequence is calculated, and a bilateral check is performed on whether the median is reasonable.
In this embodiment, the median of the first difference sequence may be calculated, and whether the calculated median is reasonable may be determined by using a bilateral test. The bilateral test is also called double-tail test and double-side test, and is a method for constructing a critical region by using tail areas on the left side and the right side of an area enclosed by a density curve of test statistics and an x axis in hypothesis test for testing.
As an embodiment of the present invention, the step of "calculating the median of the first difference sequence" in S102 may include:
sorting the first difference sequence; the first difference sequence is denoted as AW1，…，ΔWi，…，ΔWNThe sorted first sequence of difference values is denoted Δ W(1)，…，ΔW(j)，…，ΔW(N)(ii) a Wherein N is the number of data in the first difference sequence;
if N is an odd number, the median of the first difference sequence is Δ W((N+1)/2)；
If N is an even number, the median of the first difference sequence is 1/2(Δ W)(N/2)+ΔW((N+2)/2))。
In this embodiment, the sorting may be in an ascending order or a descending order, and is not limited herein. May be measured by Δ W0Representing the median of the first sequence of differences, Δ W if N is odd0＝ΔW((N+1)/2)If N is an even number, Δ W0＝1/2(ΔW(N/2)+ΔW((N+2)/2))。
For example, if the first difference sequence is-4, 8, 3, 10, 12, and the first difference sequence after ascending is-4, 3, 8, 10, 12, N is an odd number when N is 5, Δ W is therefore an odd number0＝ΔW((N+1)/2)＝ΔW(3)8, i.e. the median is 8; if the first difference sequence is-4, 8, 3, 10, 12, 2 and the first difference sequence after ascending is-4, 2, 3, 8, 10, 12, where N is an even number equal to 6, Δ W0＝1/2(ΔW(N/2)+ΔW((N+2)/2))＝1/2(ΔW(3)+ΔW(4)) 1/2(3+8), the median is 5.5.
According to the embodiment, the first difference sequence is sequenced, and the median of the first difference sequence is determined according to the sequenced sequence, so that the calculation speed of the median of the first difference sequence can be increased, the time required by the planning of the access capacity of the distributed photovoltaic power supply is further reduced, and the planning efficiency is improved.
As an embodiment of the present invention, as shown in fig. 2, the step of "performing bilateral check on the median" in S102 may include:
in S201, calculating an absolute value after each data in the first difference sequence is respectively subtracted from the median, so as to obtain an absolute value sequence; and each data in the first difference value sequence corresponds to each data in the absolute value sequence one by one.
In this embodiment, if the ith data in the first difference sequence is Δ WiExpressed as Δ W for the median0That means, the ith data of the absolute value sequence can be represented as | Δ Wi-ΔW0|。
In S202, a rank corresponding to each data in the absolute value sequence is calculated.
In this embodiment, the rank corresponding to each data in a sequence is the position of each data after the sequence is arranged in ascending order. Can be represented by RiIndicating the rank corresponding to the ith data. For example, if the absolute value sequence is 14, 18, 13, 20, 22, 12, and the absolute value sequence after the ascending order is 12, 13, 14, 18, 20, 22, the rank corresponding to each data of the absolute value sequence is 3, 4, 2, 5, 6, 1 in sequence.
In S203, hypothesis H of bilateral test is determined0：M＝ΔW0.<＝>H1：M≠ΔW0And calculating a test statistic T ═ min (T +, T-), wherein M represents the actual median of the first difference sequence, Δ W0Representing the calculated median of the first difference sequence, wherein T + represents the sum of the ranks corresponding to the first data, and the first data is the data which is larger than the median in the first difference sequence; t-represents the sum of the ranks corresponding to the second data, and the second data is the data smaller than the median in the first difference sequence.
In the present embodiment, let H be0Representing calculationsReasonable median of (c), assuming H1Indicating that the calculated median was not reasonable. The test statistics are described below in conjunction with the example data of table 1. The first row in table 1 is a first difference sequence; the second action is the result of the difference of each data in the first difference sequence with the median, which in this example is 8; the third row is a sequence of absolute values; the fourth row represents the rank corresponding to each data in the absolute value sequence.
The first data is the data greater than the median in the first difference sequence, that is, the first data is Δ Wi-ΔW0>Δ W of 0iSuch as data 10 and 12 in the first row of table 1. T + represents the sum of ranks corresponding to the respective first data, such as 2 (rank corresponding to data 10) and 3 (rank corresponding to data 12) in the fourth row in table 1, i.e., T + is 5, which is derived from the example data in table 1.
The second data is the data less than the median in the first difference sequence, i.e. the first data is awi-ΔW0<Δ W of 0iSuch as data-4 and 3 in the first row of table 1. T-represents the sum of the ranks corresponding to the respective second data, such as 5 (rank corresponding to data-4) and 4 (rank corresponding to data 3) in the fourth row in table 1, i.e., T-is 9, which is derived from the example data in table 1.
Table 1 example data
In S204, a corresponding p value is searched in a normal distribution table according to the calculated test statistic, and whether the median is reasonable or not is judged according to the p value.
In this embodiment, whether the median is reasonable or not can be determined according to the calculated p value of the test statistic corresponding to the normal distribution table.
Alternatively, the p-value can be found by looking up a normal distribution table at a confidence level α based on the calculated test statistic, if T>p is then taken over H0The median obtained is considered reasonable, otherwise the median is considered unreasonable.
Alternatively, test statistics and p-value pairs may be establishedThe corresponding rank test distribution table searches a corresponding p value in the rank test distribution table according to the calculated test statistic, then the p value is compared with a preset threshold value, and if the p value is smaller than the preset threshold value, H is accepted0The median obtained is considered reasonable, otherwise the median is considered unreasonable.
In S103, determining a planned capacity of the planned area according to the result of the bilateral test, the first difference sequence, and the second difference sequence.
In this embodiment, the planned capacity of the planned area may be selectively determined according to the first difference sequence or the second difference sequence according to the result of the bilateral test.
According to the embodiment of the invention, the first difference sequence and the second difference sequence are obtained according to the daily load active electric quantity, the daily load apparent power, the photovoltaic daily power generation active electric quantity and the photovoltaic daily power generation apparent power in the preset statistical period of the planning region, and the planning capacity of the planning region is determined according to the bilateral test result of the median of the first difference sequence, the first difference sequence and the second difference sequence.
As an embodiment of the present invention, S103 may include:
if the result of the bilateral test is that the median is reasonable, determining the planning capacity of a planning area according to the first difference sequence; and if the result of the bilateral test is that the median is not reasonable, taking the maximum value in the second difference sequence as the planning capacity of a planning area.
Alternatively, if the result of the bilateral test is that the median is reasonable, then the first differential sequence data is characterized as normal, and Δ W may be calculatediDetermining a planning capacity of a planning area; if the result of the bilateral test is that the median is unreasonable, the first differential sequence data is characterized to have differenceOften, the maximum value in the second difference sequence may be used as the planning capacity of the planning region. If Δ S is usediRepresenting the ith data in the second difference sequence, the maximum value in the second difference sequence can be represented as Δ Si_max。
Alternatively, if the result of the bilateral test is that the median is reasonable, then the first difference sequence data is characterized as normal, and the maximum value (which can be expressed as Δ W) in the first difference sequence can be determinedi-max) Dividing by 24 hours as the planned capacity, i.e. Δ Wi-maxDetermining a planning capacity of a planning area; if the result of the bilateral inspection is that the median is unreasonable, the first difference sequence data is represented to be abnormal, and the maximum value in the second difference sequence can be used as the planning capacity of the planning area.
As an embodiment of the present invention, the preset statistical period includes at least one season, the first difference sequence includes a first difference sequence corresponding to each season, and the second difference sequence includes a second difference sequence corresponding to each season;
s102 may include:
calculating the median of the first difference sequence corresponding to each season, and performing bilateral inspection on whether the median corresponding to each season is reasonable;
s103 may include:
determining the planning capacity corresponding to each season according to the result of the bilateral inspection corresponding to each season, the first difference sequence corresponding to each season and the second difference sequence corresponding to each season;
and determining the maximum value in the planning capacity corresponding to each season as the planning capacity of the planning area.
In this embodiment, the preset statistical period may include at least one season, the planning capacities corresponding to the seasons are determined respectively, and then the maximum value of the planning capacities corresponding to the seasons is determined as the planning capacity of the planning region.
For example, the preset statistical period may be one year, and since the electricity consumption in spring and autumn is similar, the spring and autumn may be treated as one season, and then the preset statistical period includes three seasons, namely spring and autumn, summer and winter. For example, the summer season may be 5 months and 1 day to 9 months and 15 days, and the winter season may be 10 months and 20 days to 3 months and 31 days.
The photovoltaic daily generation active electric quantity and the daily load active electric quantity corresponding to each season can be differentiated to obtain a first difference sequence corresponding to each season, and the photovoltaic daily generation apparent power and the daily load apparent power corresponding to each season are differentiated to obtain a second difference sequence corresponding to each season.
Optionally, after the maximum value in the planned capacity corresponding to each season is determined as the planned capacity of the planned area, the maximum load value can be flexibly adjusted according to the agricultural condition proposed by the user, and the determined planned capacity is further reduced according to the maximum load value, so that the final planned capacity is obtained.
The embodiment provides an access limit capacity planning method considering interaction of a photovoltaic distributed power supply and a flexibly adjustable load, under the condition that influence factors of winter electric heating load, summer air conditioning load and other agricultural flexibly adjustable loads on local consumption of photovoltaic poverty-induced electricity are considered, the final exchange electricity is determined by using the difference value of the checked daily net output electricity median and the newly-increased flexibly adjustable electricity expected by a user, the fund waste caused by accessing photovoltaic poverty-induced electricity to rural power grid planning based on the maximum value of electricity generation is avoided, the investment scale of accessing photovoltaic poverty-induced electricity to rural power grid is reduced, and the distribution network investment utilization efficiency is improved.
According to the embodiment of the invention, the first difference sequence and the second difference sequence are obtained according to the daily load active electric quantity, the daily load apparent power, the photovoltaic daily power generation active electric quantity and the photovoltaic daily power generation apparent power in the preset statistical period of the planning region, and the planning capacity of the planning region is determined according to the bilateral test result of the median of the first difference sequence, the first difference sequence and the second difference sequence.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Corresponding to the method for planning the access capacity of the distributed photovoltaic power supply described in the foregoing embodiment, fig. 3 shows a schematic diagram of a device for planning the access capacity of the distributed photovoltaic power supply provided by the embodiment of the present invention. For convenience of explanation, only the portions related to the present embodiment are shown.
Referring to fig. 3, the apparatus includes an acquisition module 31, a verification module 32, and a processing module 33.
The obtaining module 31 is configured to obtain daily load active electric quantity, daily load apparent power, photovoltaic daily power generation active electric quantity, and photovoltaic daily power generation apparent power in a preset statistical period of a planning area, obtain a first difference sequence by subtracting the photovoltaic daily power generation active electric quantity from the daily load active electric quantity, and obtain a second difference sequence by subtracting the photovoltaic daily power generation apparent power from the daily load apparent power.
And the checking module 32 is configured to calculate a median of the first difference sequence, and perform bilateral checking on whether the median is reasonable.
A processing module 33, configured to determine a planned capacity of the planned area according to the result of the bilateral test, the first difference sequence, and the second difference sequence.
Optionally, the preset statistical period includes at least one season, the first difference sequence includes a first difference sequence corresponding to each season, and the second difference sequence includes a second difference sequence corresponding to each season;
the verification module 32 is configured to:
calculating the median of the first difference sequence corresponding to each season, and performing bilateral inspection on whether the median corresponding to each season is reasonable;
the processing module 33 is configured to:
determining the planning capacity corresponding to each season according to the result of the bilateral inspection corresponding to each season, the first difference sequence corresponding to each season and the second difference sequence corresponding to each season;
and determining the maximum value in the planning capacity corresponding to each season as the planning capacity of the planning area.
Optionally, the verification module 32 is configured to:
sorting the first difference sequence; the first difference sequence is denoted as AW1，…，ΔWi，…，ΔWNThe sorted first sequence of difference values is denoted Δ W(1)，…，ΔW(j)，…，ΔW(N)(ii) a Wherein N is the number of data in the first difference sequence;
if N is an odd number, the median of the first difference sequence is Δ W((N+1)/2)；
If N is an even number, the median of the first difference sequence is 1/2(Δ W)(N/2)+ΔW((N+2)/2))。
Optionally, the verification module 32 is configured to:
respectively subtracting each data in the first difference sequence from the median and then calculating an absolute value to obtain an absolute value sequence; each data in the first difference value sequence corresponds to each data in the absolute value sequence one by one;
calculating the rank corresponding to each data in the absolute value sequence;
determining hypothesis H for bilateral testing0：M＝ΔW0.<＝>H1：M≠ΔW0And calculating a test statistic T ═ min (T +, T-), wherein M represents the actual median of the first difference sequence, Δ W0.Representing the calculated median of the first difference sequence, wherein T + represents the sum of the ranks corresponding to the first data, and the first data is the data which is greater than the median in the first difference sequence; t-represents the sum of the ranks corresponding to each second data, wherein the second data are the data smaller than the median in the first difference sequence;
and searching a corresponding p value in a normal distribution table according to the calculated test statistic, and judging whether the median is reasonable or not according to the p value.
Optionally, the processing module 33 is configured to:
if the result of the bilateral test is that the median is reasonable, determining the planning capacity of a planning area according to the first difference sequence; and if the result of the bilateral test is that the median is not reasonable, taking the maximum value in the second difference sequence as the planning capacity of a planning area.
According to the embodiment of the invention, the first difference sequence and the second difference sequence are obtained according to the daily load active electric quantity, the daily load apparent power, the photovoltaic daily power generation active electric quantity and the photovoltaic daily power generation apparent power in the preset statistical period of the planning region, and the planning capacity of the planning region is determined according to the bilateral test result of the median of the first difference sequence, the first difference sequence and the second difference sequence.
Fig. 4 is a schematic diagram of a terminal device according to an embodiment of the present invention. As shown in fig. 4, the terminal device 4 of this embodiment includes: a processor 40, a memory 41 and a computer program 42, e.g. a program, stored in said memory 41 and executable on said processor 40. The processor 40, when executing the computer program 42, implements the steps in the various method embodiments described above, such as the steps 101 to 103 shown in fig. 1. Alternatively, the processor 40, when executing the computer program 42, implements the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the modules 31 to 33 shown in fig. 3.
Illustratively, the computer program 42 may be partitioned into one or more modules/units that are stored in the memory 41 and executed by the processor 40 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 42 in the terminal device 4. For example, the computer program 42 may be divided into an acquisition module, a verification module and a processing module, each module having the following specific functions:
the acquisition module is used for acquiring daily load active electric quantity, daily load apparent power, photovoltaic daily power generation active electric quantity and photovoltaic daily power generation apparent power in a preset statistical period of a planning area, subtracting the photovoltaic daily power generation active electric quantity and the daily load active electric quantity to obtain a first difference sequence, and subtracting the photovoltaic daily power generation apparent power and the daily load apparent power to obtain a second difference sequence;
the detection module is used for calculating the median of the first difference sequence and carrying out bilateral detection on whether the median is reasonable or not;
and the processing module is used for determining the planning capacity of the planning area according to the result of the bilateral test, the first difference sequence and the second difference sequence.
The terminal device 4 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor 40, a memory 41. Those skilled in the art will appreciate that fig. 4 is merely an example of a terminal device 4 and does not constitute a limitation of terminal device 4 and may include more or fewer components than shown, or some components may be combined, or different components, for example, the terminal device may also include an input-output device, a network access device, a bus, a display, etc.
The Processor 40 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal storage unit of the terminal device 4, such as a hard disk or a memory of the terminal device 4. The memory 41 may also be an external storage device of the terminal device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the terminal device 4. The memory 41 is used for storing the computer program and other programs and data required by the terminal device. The memory 41 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
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 place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; 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; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (8)
1. A method for planning access capacity of a distributed photovoltaic power supply is characterized by comprising the following steps:
acquiring daily load active electric quantity, daily load apparent power, photovoltaic daily power generation active electric quantity and photovoltaic daily power generation apparent power in a preset statistical period of a planning area, subtracting the photovoltaic daily power generation active electric quantity and the daily load active electric quantity to obtain a first difference sequence, and subtracting the photovoltaic daily power generation apparent power and the daily load apparent power to obtain a second difference sequence;
calculating the median of the first difference sequence, and performing bilateral inspection on whether the median is reasonable;
determining the planning capacity of the planning area according to the result of the bilateral test, the first difference sequence and the second difference sequence;
wherein, the bilateral test of whether the median is reasonable or not comprises:
respectively subtracting each data in the first difference sequence from the median and then calculating an absolute value to obtain an absolute value sequence; each data in the first difference value sequence corresponds to each data in the absolute value sequence one by one;
calculating the rank corresponding to each data in the absolute value sequence;
determining hypothesis H for bilateral testing0：M＝ΔW0.<＝>H1：M≠ΔW0And calculating a test statistic T ═ min (T +, T-), wherein M represents the actual median of the first difference sequence, Δ W0.Representing the calculated median of the first difference sequence, wherein T + represents the sum of the ranks corresponding to the first data, and the first data is the data which is greater than the median in the first difference sequence; t-represents the sum of the ranks corresponding to each second data, wherein the second data are the data smaller than the median in the first difference sequence;
searching a corresponding p value in a normal distribution table according to the calculated test statistic, and judging whether the median is reasonable or not according to the p value;
wherein, the H0Indicates that the calculated median is reasonable, said H1Indicating that the calculated median is unreasonable;
wherein the determining the planned capacity of the planned area according to the result of the bilateral test, the first difference sequence, and the second difference sequence comprises:
if the result of the bilateral test is that the median is reasonable, determining the planning capacity of a planning area according to the first difference sequence; and if the result of the bilateral test is that the median is not reasonable, taking the maximum value in the second difference sequence as the planning capacity of a planning area.
2. The distributed photovoltaic power access capacity planning method of claim 1, wherein the preset statistical period comprises at least one season, the first sequence of difference values comprises a first sequence of difference values corresponding to each season, and the second sequence of difference values comprises a second sequence of difference values corresponding to each season;
the calculating the median of the first difference sequence and the bilateral checking whether the median is reasonable or not comprise:
calculating the median of the first difference sequence corresponding to each season, and performing bilateral inspection on whether the median corresponding to each season is reasonable;
the determining the planned capacity of the planned area according to the result of the bilateral test, the first difference sequence, and the second difference sequence includes:
determining the planning capacity corresponding to each season according to the result of the bilateral inspection corresponding to each season, the first difference sequence corresponding to each season and the second difference sequence corresponding to each season;
and determining the maximum value in the planning capacity corresponding to each season as the planning capacity of the planning area.
3. The distributed photovoltaic power access capacity planning method of claim 1, wherein said calculating the median of the first sequence of differences comprises:
sorting the first difference sequence; the first difference sequence is denoted as AW1，…，ΔWi，…，ΔWNThe sorted first sequence of difference values is denoted Δ W(1)，…，ΔW(j)，…，ΔW(N)(ii) a Wherein N is the number of data in the first difference sequence;
if N isIf the number of the first difference value sequences is odd, the median of the first difference value sequences is delta W((N+1)/2)；
If N is an even number, the median of the first difference sequence is 1/2(Δ W)(N/2)+ΔW((N+2)/2))。
4. A distributed photovoltaic power access capacity planning device is characterized by comprising:
the acquisition module is used for acquiring daily load active electric quantity, daily load apparent power, photovoltaic daily power generation active electric quantity and photovoltaic daily power generation apparent power in a preset statistical period of a planning area, subtracting the photovoltaic daily power generation active electric quantity and the daily load active electric quantity to obtain a first difference sequence, and subtracting the photovoltaic daily power generation apparent power and the daily load apparent power to obtain a second difference sequence;
the detection module is used for calculating the median of the first difference sequence and carrying out bilateral detection on whether the median is reasonable or not;
the processing module is used for determining the planning capacity of the planning area according to the result of the bilateral test, the first difference sequence and the second difference sequence;
wherein the verification module is further configured to:
respectively subtracting each data in the first difference sequence from the median and then calculating an absolute value to obtain an absolute value sequence; each data in the first difference value sequence corresponds to each data in the absolute value sequence one by one;
calculating the rank corresponding to each data in the absolute value sequence;
determining hypothesis H for bilateral testing0：M＝ΔW0.<＝>H1：M≠ΔW0And calculating a test statistic T ═ min (T +, T-), wherein M represents the actual median of the first difference sequence, Δ W0.Representing the calculated median of the first difference sequence, wherein T + represents the sum of the ranks corresponding to the first data, and the first data is the data which is greater than the median in the first difference sequence; t-represents the sum of the ranks corresponding to the respective second data, the second dataThe second data is the data which is smaller than the median in the first difference sequence;
searching a corresponding p value in a normal distribution table according to the calculated test statistic, and judging whether the median is reasonable or not according to the p value;
wherein, the H0Indicates that the calculated median is reasonable, said H1Indicating that the calculated median is unreasonable;
wherein the processing module is further configured to:
if the result of the bilateral test is that the median is reasonable, determining the planning capacity of a planning area according to the first difference sequence; and if the result of the bilateral test is that the median is not reasonable, taking the maximum value in the second difference sequence as the planning capacity of a planning area.
5. The distributed photovoltaic power access capacity planning apparatus of claim 4, wherein the preset statistical period includes at least one season, the first sequence of difference values includes a first sequence of difference values corresponding to each season, and the second sequence of difference values includes a second sequence of difference values corresponding to each season;
the inspection module is configured to:
calculating the median of the first difference sequence corresponding to each season, and performing bilateral inspection on whether the median corresponding to each season is reasonable;
the processing module is used for:
determining the planning capacity corresponding to each season according to the result of the bilateral inspection corresponding to each season, the first difference sequence corresponding to each season and the second difference sequence corresponding to each season;
and determining the maximum value in the planning capacity corresponding to each season as the planning capacity of the planning area.
6. The distributed photovoltaic power access capacity planning apparatus of claim 4 wherein the verification module is configured to:
sorting the first difference sequence; the first isThe sequence of differences is denoted Δ W1，…，ΔWi，…，ΔWNThe sorted first sequence of difference values is denoted Δ W(1)，…，ΔW(j)，…，ΔW(N)(ii) a Wherein N is the number of data in the first difference sequence;
if N is an odd number, the median of the first difference sequence is Δ W((N+1)/2)；
If N is an even number, the median of the first difference sequence is 1/2(Δ W)(N/2)+ΔW((N+2)/2))。
7. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 3 when executing the computer program.
8. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 3.
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| CN110783960B (en) * | 2019-12-05 | 2021-09-28 | 国网河南省电力公司南阳供电公司 | Distributed photovoltaic power generation disordered access method and device |
| CN113095611A (en) * | 2019-12-23 | 2021-07-09 | 中国农业大学 | Low-voltage distribution network coordinated planning method containing electric heating equipment and photovoltaic power supply |
| CN114374201A (en) * | 2021-11-10 | 2022-04-19 | 温州电力建设有限公司 | Collaborative planning method considering distributed photovoltaic ordered access to power grid |
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