CN109659951B - Grouping method and system for reactive compensation capacitors of distribution transformer - Google Patents
Grouping method and system for reactive compensation capacitors of distribution transformer Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
- H02J3/1821—Arrangements for adjusting, eliminating or compensating reactive power in networks using shunt compensators
- H02J3/1871—Methods for planning installation of shunt reactive power compensators
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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Abstract
A grouping method and system of reactive compensation capacitors of a distribution transformer comprises the following steps: determining a probability distribution function of reactive load of each phase of the low-voltage side of the distribution transformer and a fluctuation probability distribution function of the reactive load based on reactive load data of each phase of the low-voltage side of the distribution transformer; based on a probability distribution function of reactive load of each phase of the low-voltage side of the distribution transformer, obtaining the maximum compensation capacity of a reactive compensation capacitor of the corresponding phase; and respectively determining grouping conditions of the reactive compensation capacitors of each phase of the distribution transformer based on the maximum compensation capacity of the reactive compensation capacitors of each phase, the probability distribution function of the reactive load and the fluctuation probability distribution function of the reactive load. According to the application, the reactive compensation capacity and grouping capacity of the distribution transformer are determined according to the probability distribution function of the three-phase reactive load and the fluctuation probability distribution function of the reactive load of the low-voltage side A, B, C of the distribution transformer, so that the fine compensation according to the requirement is realized, and the reactive compensation efficiency of the distribution transformer can be effectively improved.
Description
Technical Field
The application relates to a power system, in particular to a grouping method and a grouping system for reactive compensation capacitors of a distribution transformer.
Background
Distribution transformers are one of the most important devices in a distribution network, and are key links for guaranteeing power 'getting up and down', and relate to power supply quality and economic operation of the distribution network. In order to ensure efficient operation of the distribution network and the distribution transformer, reactive compensation is one of the main measures adopted at present in the distribution transformer, and the reactive compensation is mainly to install a capacitor on the low-voltage side. However, since the reactive power output by the capacitor is unregulated and proportional to the square of the ac voltage, since the reactive power required by the converter in the distribution transformer is substantially proportional to the dc current or dc power, the reactive power required by the converter will decrease when the converter is under low load, but the voltage of the ac system bus is generally higher and the reactive power output by the capacitor will be excessive, for which reason the capacitors need to be grouped for group switching as the dc power and the ac system bus voltage change.
Because the load randomness of the distribution transformer area is large, the current and the voltage of the secondary side of the distribution transformer are sampled according to the capacitor of the distribution transformer engineering of the distribution transformer, and parameters such as reactive power, power factor and the like of the secondary side of the distribution transformer are calculated after calculation by the compensation controller, so that automatic switching of the group capacitor is performed. However, the automatic switching capacitor is difficult to accurately carry out reactive compensation along with load change, frequent switching or incapability of switching of the capacitor often occurs, and the capacitor occurs when the fault is caused by unreasonable grouping, so that the safe and economic operation of the power distribution network is seriously influenced.
In summary, when the reactive compensation capacitor performs reactive compensation, on one hand, the reactive compensation capacity is too small to achieve the compensation effect, and the reactive compensation capacity is too large to overcompensate or cannot be input, so that the waste of equipment is caused; on the other hand, the improper grouping of reactive compensation can possibly lead to frequent switching of the capacitor or failure of the switching; too thin a packet requires many sets of capacitors, which may increase installation costs and the likelihood of hardware failure. Therefore, it is imperative to optimize the reactive compensation capacity and grouping.
Disclosure of Invention
In order to solve the problem that in the prior art, a power distribution network fails due to unreasonable grouping of capacitors, the application provides a grouping method and a grouping system of reactive compensation capacitors of a distribution transformer.
The technical scheme provided by the application is as follows: a method of grouping reactive compensation capacitors of a distribution transformer, comprising:
determining a probability distribution function of reactive load of each phase of the low-voltage side of the distribution transformer and a fluctuation probability distribution function of the reactive load based on reactive load data of each phase of the low-voltage side of the distribution transformer;
based on a probability distribution function of reactive load of each phase of the low-voltage side of the distribution transformer, obtaining the maximum compensation capacity of a reactive compensation capacitor of the corresponding phase;
and respectively determining grouping conditions of the reactive compensation capacitors of each phase of the distribution transformer based on the maximum compensation capacity of the reactive compensation capacitors of each phase, the probability distribution function of the reactive load and the fluctuation probability distribution function of the reactive load.
Preferably, the obtaining the probability distribution function of the reactive load of each phase on the low-voltage side of the distribution transformer based on the reactive load data of each phase on the low-voltage side of the distribution transformer includes:
taking the maximum value from the reactive load data of each phase at the low-voltage side of the distribution transformer, and rounding the maximum value to obtain a reactive load maximum value;
determining a reactive load value interval range based on the maximum value of the reactive load, and equally dividing the reactive load value interval range according to set intervals to obtain a reactive load value interval;
counting the number of reactive loads falling in each reactive load value interval;
and obtaining a probability distribution function of the reactive load corresponding to each reactive load value interval in each phase of the low-voltage side of the distribution transformer based on the number and the total sample number of the reactive loads falling in each reactive load value interval.
Preferably, the obtaining the fluctuation probability distribution function of the reactive load of each phase on the low-voltage side of the distribution transformer based on the reactive load data of each phase on the low-voltage side of the distribution transformer includes:
based on reactive load data of each phase of a low-voltage side of the distribution transformer, acquiring fluctuation amounts of all adjacent two reactive loads, and forming a fluctuation amount set from all the fluctuation amounts;
searching a maximum value in the fluctuation amount set, and rounding the maximum value to obtain a fluctuation amount maximum value;
determining a fluctuation value interval range based on the fluctuation value maximum value, and dividing the fluctuation value interval range according to a plurality of preset intervals to obtain a fluctuation value interval;
counting the quantity of reactive load fluctuation quantity falling in each fluctuation value measuring interval;
and obtaining the fluctuation probability distribution function of the reactive load corresponding to each fluctuation value interval on each phase of the low-voltage side of the distribution transformer based on the quantity and the total sample number of the reactive load fluctuation values falling in each fluctuation value interval.
Preferably, the obtaining the maximum compensation capacity of the reactive compensation capacitor of the corresponding phase based on the probability distribution function of the reactive load of each phase at the low-voltage side of the distribution transformer includes:
comparing the probability distribution function of the reactive load corresponding to each reactive load value interval with the set reactive load requirement;
when the probability distribution function of the reactive load is not smaller than the set reactive load demand, acquiring a reactive load value interval corresponding to the probability distribution function of the reactive load;
and taking the maximum value in the reactive load value interval as the maximum compensation capacity of the corresponding phase reactive compensation capacitor.
Preferably, the determining the grouping situation of the reactive compensation capacitors of each phase of the distribution transformer based on the maximum compensation capacity of the reactive compensation capacitor of each phase, the probability distribution function of the reactive load and the fluctuation probability distribution function of the reactive load includes:
determining a base capacity and a fluctuation capacity based on a maximum compensation capacity of each phase reactive compensation capacitor and a fluctuation probability distribution function of reactive load;
acquiring probability grouping conditions based on the probability distribution function and the basic capacity of the reactive load of each phase;
acquiring a fluctuation probability grouping condition based on a fluctuation probability distribution function and fluctuation capacity of reactive load of each phase;
and superposing the acquisition probability grouping situation and the fluctuation probability grouping situation to obtain the grouping of the corresponding phase reactive compensation capacitors of the distribution transformer.
Preferably, the determining the base capacity and the fluctuating capacity based on the maximum compensation capacity of each phase reactive compensation capacitor and the fluctuating probability distribution function of the reactive load includes:
based on the fluctuation probability distribution function of the reactive load of each phase, three groups of fluctuation value measuring intervals with highest distribution probability are obtained;
taking the maximum value in all fluctuation value measuring intervals as fluctuation capacity;
the difference between the maximum compensation capacity of each phase reactive compensation capacitor and the fluctuation capacity is taken as a basic capacity.
Preferably, the acquiring the probability grouping condition based on the probability distribution function and the basic capacity of the reactive load of each phase includes:
based on the probability distribution function of the reactive load of each phase, three groups of reactive load value intervals with highest distribution probability are obtained;
taking the minimum reactive load value interval as the probability basic unit capacity of the reactive compensation capacitor in the three groups of reactive load value intervals;
and determining probability grouping conditions according to the maximum combination and minimum grouping principle based on the probability basic unit capacity and the basic capacity.
Preferably, the obtaining the wave probability grouping condition based on the wave probability distribution function and the wave capacity of the reactive load of each phase includes:
based on the fluctuation probability distribution function of the reactive load of each phase, three groups of fluctuation value measuring intervals with highest distribution probability are obtained;
in the three groups of fluctuation value measuring intervals, the minimum fluctuation value measuring interval is used as the fluctuation probability basic unit capacity of the reactive compensation capacitor;
and determining the fluctuation probability grouping condition according to the maximum combination and minimum grouping principle based on the fluctuation probability basic unit capacity and the fluctuation capacity.
Preferably, before the probability grouping situation is obtained based on the probability distribution function and the basic capacity of the reactive load of each phase, the method further comprises:
and removing the reactive load value interval of load fluctuation in the setting range based on the maximum compensation capacity of each phase of reactive compensation capacitor.
Preferably, the obtaining of reactive load data of each phase on the low-voltage side of the distribution transformer includes:
acquiring months corresponding to the maximum annual load, and counting the sum of the corresponding days of all the months;
and acquiring the reactive load data of 96 points per day of each phase on the low-voltage side of the distribution transformer.
Based on the same inventive concept, the application also provides a grouping system of the reactive compensation capacitors of the distribution transformer, comprising:
the acquisition function module is used for acquiring a probability distribution function of the reactive load of each phase on the low-voltage side of the distribution transformer and a fluctuation probability distribution function of the reactive load based on the reactive load data of each phase on the low-voltage side of the distribution transformer;
the maximum compensation capacity obtaining module is used for obtaining the maximum compensation capacity of the reactive compensation capacitor of the corresponding phase based on the probability distribution function of the reactive load of each phase of the low-voltage side of the distribution transformer;
and the grouping module is used for respectively determining the grouping condition of the reactive compensation capacitors of each phase of the distribution transformer based on the maximum compensation capacity of the reactive compensation capacitors of each phase, the probability distribution function of the reactive load and the fluctuation probability distribution function of the reactive load.
Preferably, the obtaining function module includes:
the reactive load maximum value unit is used for taking the maximum value from the reactive load data of each phase at the low-voltage side of the distribution transformer and rounding the maximum value to obtain a reactive load maximum value;
the reactive load value interval unit is used for determining a reactive load value interval range based on the maximum value of the reactive load, and equally dividing the reactive load value interval range according to set intervals to obtain a reactive load value interval;
the first statistics unit is used for counting the quantity of reactive loads falling in each reactive load value interval;
and the first function unit is used for obtaining a probability distribution function of the reactive load corresponding to each reactive load value interval in each phase of the low-voltage side of the distribution transformer based on the number of the reactive loads and the total sample number falling in each reactive load value interval.
Compared with the prior art, the application has the beneficial effects that:
according to the technical scheme, the probability distribution function of the reactive load of each phase on the low-voltage side of the distribution transformer and the fluctuation probability distribution function of the reactive load are obtained based on the reactive load data of each phase on the low-voltage side of the distribution transformer; based on a probability distribution function of reactive load of each phase of the low-voltage side of the distribution transformer, obtaining the maximum compensation capacity of a reactive compensation capacitor of the corresponding phase; based on the maximum compensation capacity of each phase reactive compensation capacitor, the probability distribution function of reactive load and the fluctuation probability distribution function of reactive load, the grouping condition of each phase reactive compensation capacitor of the distribution transformer is respectively determined, the on-demand fine compensation is realized, and the reactive compensation efficiency of the distribution transformer can be effectively improved.
Drawings
Fig. 1 is a flow chart of a grouping method of reactive compensation capacitors of a distribution transformer according to the present application.
Detailed Description
For a better understanding of the present application, reference is made to the following description, drawings and examples.
Example 1:
the grouping of reactive compensation capacitors in a distribution transformer mainly means that the maximum compensation capacity of the required reactive compensation capacitors of each phase and its grouping capacity are determined, which is related to the actual reactive load. The load grouping needs to comprehensively consider the distribution condition and the fluctuation condition of the reactive load, so that the maximum reactive load can be covered as much as possible by reactive compensation, and the fluctuation of the reactive load can be tracked well by the compensation as much as possible. On the one hand, the reactive compensation capacity is too small to achieve the compensation effect, and the reactive compensation capacity is too large to overcompensate or cannot be input, so that the equipment is wasted. On the other hand, the improper grouping of reactive compensation can possibly lead to frequent switching of the capacitor or failure of the switching; too thin a packet requires many sets of capacitors, which may increase installation costs and the likelihood of hardware failure.
Accordingly, as shown in fig. 1, the present application provides a method for grouping reactive compensation capacitors in a distribution transformer, comprising:
step S1, determining a probability distribution function of reactive load of each phase on the low-voltage side of the distribution transformer and a fluctuation probability distribution function of the reactive load based on reactive load data of each phase on the low-voltage side of the distribution transformer;
s2, acquiring the maximum compensation capacity of a reactive compensation capacitor of a corresponding phase based on a probability distribution function of reactive load of each phase of the low-voltage side of the distribution transformer;
and step S3, respectively determining grouping conditions of the reactive compensation capacitors of each phase of the distribution transformer based on the maximum compensation capacity of the reactive compensation capacitors of each phase, the probability distribution function of the reactive load and the fluctuation probability distribution function of the reactive load.
According to the application, the reactive compensation capacity and grouping capacity of the distribution transformer are determined according to the probability distribution function of the three-phase reactive load and the fluctuation probability distribution function of the reactive load of the low-voltage side A, B, C of the distribution transformer, so that the fine compensation according to the requirement is realized, and the reactive compensation efficiency benefit of the distribution transformer can be effectively improved.
Step S1, determining a probability distribution function of reactive load of each phase of the low-voltage side of the distribution transformer and a fluctuation probability distribution function of the reactive load based on reactive load data of each phase of the low-voltage side of the distribution transformer, wherein the step comprises the following steps:
step S101: the method for acquiring the reactive load basic data of each phase of the low-voltage side A, B, C of the distribution transformer comprises the following specific steps of
Step 1-1: and determining a reactive load analysis section of the distribution transformer, wherein reactive compensation is required to meet the maximum load requirement as much as possible, so the analysis section of the reactive load is a section containing the annual maximum load. Typically during winter in winter. Without loss of generality, the reactive load analysis interval is 6-9 months in summer and 12-2 months in winter, 212=30+31+31+30+31+31+28 in total, and the set of days is t= [1,2, …, i, …,212].
Step 1-2: setting the initial value of the counter to i=0
Step 1-3: let the initial value of the counter be i=i+1
Step 1-4: from the electricity consumption information acquisition system, the reactive load data of each phase of 96 points A, B, C on the i-th day of the low-voltage side of the distribution transformer are read to form a reactive load array qai = [ qai ] of each phase of A, B, C each day 1 ,qai 2 ，…，qai 96 ]、qbi＝[qbi 1 ,qbi 2 ，…，qbi 96 ]、qci＝[qci 1 ,qci 2 ，…，qci 96 ]；
Step 1-5: let i be less than 212? If yes, turning to the step 1-3; if not, turning to the steps 1-6.
Step 1-6: and (3) finishing the reactive load basic data reading to form A, B, C-phase reactive load set QA= [ QA = [ QA) 1 ,qa 2 ，…，qa i ，…，qa 212 ]、QB＝[qb 1 ,qb 2 ，…，qb i ，…，qb 212 ]、QC＝[qc 1 ,qc 2 ，…，qc i ，…，qc 212 ]。
In this embodiment, the collection of reactive loads of each phase of the low-voltage side A, B, C of a distribution transformer in a certain distribution area is taken as an example, and A, B, C reactive load sets of each phase are shown in table 1.
Table 1 part A, B, C reactive load set for each phase
Step 102: and acquiring probability distribution functions FA, FB and FC of reactive loads of each phase of the low-voltage side A, B, C of the distribution transformer.
As shown in table 2, taking phase a as an example, the probability distribution function FA of the reactive load of phase a is obtained as follows:
(1) The maximum value maxQA of QA was obtained, and according to table 1, maxqa=19.91 in this example.
(2) Rounding up maxQA to obtainThe range of the value interval of the random variable A-phase reactive load qa is determined to be +.>This example is [0, 20]。
(3) Taking the interval distance d=1 kVar, equally dividing the value interval of the random variable a-phase reactive load qa as shown in the first row of table 2.
(4) From the a-phase reactive load set QA in table 1, the number of random variables a-phase reactive load QA falling in each value interval is found as shown in the second row of table 2.
(5) As shown in the third row of table 2, according to the number N of the random variable a-phase reactive load qa falling in each value interval and the total number N of samples (n=960), the value probability p=n/N of qa in each value interval is calculated, and the distribution law (i.e. the probability distribution function FA) of the random variable a-phase reactive load qa can be obtained.
Table 2 summary of reactive load data in A phase
Step 103: the probability distribution function of reactive load fluctuation of each phase of the low-voltage side A, B, C of the distribution transformer is obtained, and the specific steps are as follows:
step 3-1: according to A, B, C, each phase reactive load set QA= [ QA ] 1 ,qa 2 ，…，qa i ，…，qa 212 ]、QB＝[qb 1 ,qb 2 ，…，qb i ，…，qb 212 ]、QC＝[qc 1 ,qc 2 ，…，qc i ，…，qc 212 ]Analyzing reactive power change conditions of two adjacent load points, namely subtracting the absolute value of the reactive power load at the previous moment from the reactive power load at the next moment, and generating a partial fluctuation quantity set of the reactive power load of a certain distribution area as shown in table 3; qaabs= [ QAabs 1 ,qaabs 2 ，…，qaabs i ，…，qaabs 211 ]、QBabs＝[qbabs 1 ,qbabs 2 ，…，qbabs i ，…，qbabs 211 ]、QC＝[qcabs 1 ,qcabs 2 ，…，qcabs i ，…，qcabs 211 ]Wherein qaabs i ＝|qa i -qa i+1 |，qcabs i ＝|qb i -qb i+1 |，qcabs i ＝|qc i -qc i+1 |。
TABLE 3 partial fluctuation amount set of reactive load of certain distribution area
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Step 3-2: from QAabs, qbas and qbas, a probability distribution function FFA, FFB, FFC of reactive load fluctuation of each phase of the low voltage side A, B, C of the distribution transformer is obtained.
As shown in table 4, taking phase a as an example, the probability distribution function FFA of phase a reactive load fluctuation is obtained as follows:
(1) Obtaining the maximum value maxQAabs of QAabs; according to table 3, maxqaabs=6.12 in this example.
(2) And (3) upwardly rounding the maxQAabs to obtain the maxQAabs, and determining the range of the value interval of the random variable A-phase reactive load fluctuation amount qaabs to be [0, |maxQAabs| ] which is [0,7] in the example.
(3) As shown in the first line of table 4, the value interval of the random variable a-phase reactive load fluctuation amount qaabs is divided.
(4) From the a-phase reactive load fluctuation amount set QAabs in table 3, the number n of random variable a-phase reactive load fluctuation amounts QAabs falling in each value interval was obtained as shown in the second row of table 4.
(5) As shown in the third row of table 4, the distribution law (i.e., probability distribution function FFA) of the random variable a-phase reactive load fluctuation amount qaabs is obtained by obtaining the value probability p=n/N of qaabs in each value interval from the number N of random variable a-phase reactive load fluctuation amounts qaabs in each value interval and the total sample number N (n=959).
Table 4 summary of data of reactive load fluctuation amount in A phase
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Step S2, based on the probability distribution function of the reactive load of each phase of the low-voltage side of the distribution transformer, obtaining the maximum compensation capacity of the reactive compensation capacitor of the corresponding phase, wherein the step comprises the following steps:
based on the reactive load requirement covering 95% as standard, according to probability distribution functions FA, FB, FC of reactive load of each phase of low-voltage side A, B, C of distribution transformer, the maximum compensation capacity of each phase of reactive compensation capacitor is correspondingly selected A, B, C asAnd->
Taking A phase as an example, taking the coverage of 95% of reactive load as a standard according to a probability distribution function FA of A phase reactive load, namely, the requirementAnd 0.95 or more.
FA (qa) =0.931, less than 0.95, when qa= [8,9 ];
FA (qa) =0.954, greater than 0.95 when qa= [9,10 ];
so the maximum compensation capacity of phase separation of phase A is10kVar.
Namely, when the reactive compensation capacity of the phase A is 10kVar, the reactive compensation requirement of the phase A of the distribution area can be met with 95% probability.
Step S3, based on the maximum compensation capacity of each phase reactive compensation capacitor, the probability distribution function of reactive load and the fluctuation probability distribution function of reactive load, respectively determining grouping conditions of the reactive compensation capacitors of each phase of the distribution transformer, wherein the method comprises the following steps:
taking phase A as an example, eliminating the situation that the load fluctuation is less than 5%, and when the reactive compensation capacity of phase A is 10kVar, the interval of 5% of load fluctuation is [0kVar-0.5kVar ].
The grouping capacities of the reactive compensation capacitors of each phase are respectively selected A, B, C to be deltaqa, deltaqb and deltaqc according to probability distribution functions FA, FB and FC of reactive loads of each phase on the low-voltage side A, B, C of the distribution transformer and probability distribution function FFA, FFB, FFC of reactive load fluctuation of each phase on the low-voltage side A, B, C of the distribution transformer.
As shown in Table 2, according to the probability distribution function FA of the A-phase reactive load, the A-phase reactive load is mainly (first three) distributed in [2kVar-3kVar ], the distribution probability is 20.9%, [3kVar-4kVar ], the distribution probability is 16.9%, [1kVar-2kVar ], and the distribution probability is 12.7%.
The basic cell capacities of the a-phase capacitors are 2kVar and 1kVar according to the reactive load distribution.
As shown in Table 4, the probability distribution function FFA of the A-phase reactive load fluctuation was such that the A-phase reactive load fluctuation was mainly (first three) distributed within [0.5kVar-1kVar ], the probability of distribution was 9%, the probability of distribution was 6%, the probability of distribution was 1.5 kVar-1.5kVar, and the probability of distribution was 4% within 5%.
The base unit capacity of the phase a capacitor is thus 0.5kVar and 1kVar depending on the phase a load fluctuation.
Based on the basic cell capacity of the a-phase capacitor, the groupings are made in the following manner:
when the reactive compensation capacity of the A phase is 10kVar, the load fluctuation condition of the A phase can be determined to be [0kVar-2kVar ] based on the reactive load fluctuation interval with the largest distribution probability in the A phase, so that the base capacity (10-2) =8kVar of the A phase reactive compensation capacitor;
based on the basic capacity of 8kVar and the basic unit capacities of reactive load of 2kVar and 1kVar, grouping is performed according to the principle of maximum combination and minimum grouping, for example, grouping can be performed according to the condition of '3 x 2kVar+2 x 1 kVar', wherein 2kVar has 3 groups and 1kVar has 2 groups.
With 2kVar as the fluctuation capacity, the basic unit capacities according to the load fluctuation are 0.5kVar and 1kVar, and the grouping is performed according to the maximum combination and minimum grouping principle, for example, the grouping can be performed according to the condition of '1 x 1kVar+2 x 0.5 kVar', wherein 1kVar has 1 group and 0.5kVar has 2 groups.
The two aspects of the cases are combined, and the grouping situation of the A-phase reactive load is as follows: 3 x 2kvar+3 x 1kvar+2 x 0.5kvar.
The maximum compensation capacity and the grouping capacity of the power distribution transformer B, C phase reactive compensation capacitor are determined in the same A phase determining process;
therefore, the reactive compensation capacity and grouping capacity of the distribution transformer are determined according to the probability distribution function of the three-phase reactive load of the low-voltage side A, B, C of the distribution transformer and the fluctuation probability distribution function of the reactive load, so that the on-demand fine compensation is realized, and the reactive compensation efficiency of the distribution transformer can be effectively improved.
Example 2:
based on the same inventive concept, the application also provides a grouping system of the reactive compensation capacitors of the distribution transformer, which comprises:
the acquisition function module is used for acquiring a probability distribution function of the reactive load of each phase on the low-voltage side of the distribution transformer and a fluctuation probability distribution function of the reactive load based on the reactive load data of each phase on the low-voltage side of the distribution transformer;
the maximum compensation capacity obtaining module is used for obtaining the maximum compensation capacity of the reactive compensation capacitor of the corresponding phase based on the probability distribution function of the reactive load of each phase of the low-voltage side of the distribution transformer;
and the grouping module is used for respectively determining the grouping condition of the reactive compensation capacitors of each phase of the distribution transformer based on the maximum compensation capacity of the reactive compensation capacitors of each phase, the probability distribution function of the reactive load and the fluctuation probability distribution function of the reactive load.
In an embodiment, the obtaining function module includes:
the reactive load maximum value unit is used for taking the maximum value from the reactive load data of each phase at the low-voltage side of the distribution transformer and rounding the maximum value to obtain a reactive load maximum value;
the reactive load value interval unit is used for determining a reactive load value interval range based on the maximum value of the reactive load, and equally dividing the reactive load value interval range according to set intervals to obtain a reactive load value interval;
the first statistics unit is used for counting the quantity of reactive loads falling in each reactive load value interval;
and the first function unit is used for obtaining a probability distribution function of the reactive load corresponding to each reactive load value interval in each phase of the low-voltage side of the distribution transformer based on the number of the reactive loads and the total sample number falling in each reactive load value interval.
In an embodiment, the obtaining function module further includes:
the fluctuation amount collection unit is used for acquiring the fluctuation amounts of all two adjacent reactive loads based on the reactive load data of each phase of the low-voltage side of the distribution transformer and forming a fluctuation amount collection from all the fluctuation amounts;
the fluctuation amount maximum value unit is used for searching a maximum value in the fluctuation amount set and carrying out rounding treatment on the maximum value to obtain a fluctuation amount maximum value;
the fluctuation measuring value interval unit is used for determining a fluctuation measuring value interval range based on the fluctuation maximum value, and dividing the fluctuation measuring value interval range according to a plurality of preset intervals to obtain a fluctuation measuring value interval;
the second statistical unit is used for counting the quantity of reactive load fluctuation quantity falling in each fluctuation value measuring interval;
and the second function unit is used for obtaining the fluctuation probability distribution function of the reactive load corresponding to each fluctuation value interval based on the quantity and the total sample number of the reactive load fluctuation values falling in each fluctuation value interval.
It will be apparent that the described embodiments are some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing is illustrative of the present application and is not to be construed as limiting thereof, but rather as providing for the use of additional embodiments and advantages of all such modifications, equivalents, improvements and similar to the present application are intended to be included within the scope of the present application as defined by the appended claims.
Claims (10)
1. A method of grouping reactive compensation capacitors of a distribution transformer, comprising:
determining a probability distribution function of reactive load of each phase of the low-voltage side of the distribution transformer and a fluctuation probability distribution function of the reactive load based on reactive load data of each phase of the low-voltage side of the distribution transformer;
based on a probability distribution function of reactive load of each phase of the low-voltage side of the distribution transformer, obtaining the maximum compensation capacity of a reactive compensation capacitor of the corresponding phase;
based on the maximum compensation capacity of each phase reactive compensation capacitor, the probability distribution function of reactive load and the fluctuation probability distribution function of reactive load, respectively determining the grouping condition of each phase reactive compensation capacitor of the distribution transformer;
the method for acquiring the fluctuation probability distribution function of the reactive load of each phase of the low-voltage side of the distribution transformer based on the reactive load data of each phase of the low-voltage side of the distribution transformer comprises the following steps:
based on reactive load data of each phase of a low-voltage side of the distribution transformer, acquiring fluctuation amounts of all adjacent two reactive loads, and forming a fluctuation amount set from all the fluctuation amounts;
searching a maximum value in the fluctuation amount set, and rounding the maximum value to obtain a fluctuation amount maximum value;
determining a fluctuation value interval range based on the fluctuation value maximum value, and dividing the fluctuation value interval range according to a plurality of preset intervals to obtain a fluctuation value interval;
counting the quantity of reactive load fluctuation quantity falling in each fluctuation value measuring interval;
obtaining a fluctuation probability distribution function of the reactive load corresponding to each fluctuation value interval on each phase of the low-voltage side of the distribution transformer based on the quantity and the total sample number of the reactive load fluctuation values falling in each fluctuation value interval;
the grouping condition of the reactive compensation capacitors of each phase of the distribution transformer is respectively determined based on the maximum compensation capacity of the reactive compensation capacitor of each phase, the probability distribution function of the reactive load and the fluctuation probability distribution function of the reactive load, and the grouping condition comprises the following steps:
determining a base capacity and a fluctuation capacity based on a maximum compensation capacity of each phase reactive compensation capacitor and a fluctuation probability distribution function of reactive load;
acquiring probability grouping conditions based on the probability distribution function and the basic capacity of the reactive load of each phase;
acquiring a fluctuation probability grouping condition based on a fluctuation probability distribution function and fluctuation capacity of reactive load of each phase;
and superposing the acquisition probability grouping situation and the fluctuation probability grouping situation to obtain the grouping of the corresponding phase reactive compensation capacitors of the distribution transformer.
2. The method of claim 1, wherein the obtaining a probability distribution function of the reactive load of each phase of the low-voltage side of the distribution transformer based on the reactive load data of each phase of the low-voltage side of the distribution transformer comprises:
taking the maximum value from the reactive load data of each phase at the low-voltage side of the distribution transformer, and rounding the maximum value to obtain a reactive load maximum value;
determining a reactive load value interval range based on the maximum value of the reactive load, and equally dividing the reactive load value interval range according to set intervals to obtain a reactive load value interval;
counting the number of reactive loads falling in each reactive load value interval;
and obtaining a probability distribution function of the reactive load corresponding to each reactive load value interval in each phase of the low-voltage side of the distribution transformer based on the number and the total sample number of the reactive loads falling in each reactive load value interval.
3. The method of claim 2, wherein the obtaining the maximum compensation capacity of the corresponding phase reactive compensation capacitor based on the probability distribution function of the reactive load of each phase on the low voltage side of the distribution transformer comprises:
comparing the probability distribution function of the reactive load corresponding to each reactive load value interval with the set reactive load requirement;
when the probability distribution function of the reactive load is not smaller than the set reactive load demand, acquiring a reactive load value interval corresponding to the probability distribution function of the reactive load;
and taking the maximum value in the reactive load value interval as the maximum compensation capacity of the corresponding phase reactive compensation capacitor.
4. The method of claim 1, wherein the determining the base capacity and the surge capacity based on the maximum compensation capacity of each phase reactive compensation capacitor and the surge probability distribution function of the reactive load comprises:
based on the fluctuation probability distribution function of the reactive load of each phase, three groups of fluctuation value measuring intervals with highest distribution probability are obtained;
taking the maximum value in all fluctuation value measuring intervals as fluctuation capacity;
the difference between the maximum compensation capacity of each phase reactive compensation capacitor and the fluctuation capacity is taken as a basic capacity.
5. The method of claim 1, wherein the obtaining a probability packet case based on the probability distribution function and the base capacity of the reactive load of each phase comprises:
based on the probability distribution function of the reactive load of each phase, three groups of reactive load value intervals with highest distribution probability are obtained;
taking the minimum reactive load value interval as the probability basic unit capacity of the reactive compensation capacitor in the three groups of reactive load value intervals;
and determining probability grouping conditions according to the maximum combination and minimum grouping principle based on the probability basic unit capacity and the basic capacity.
6. The method of claim 1, wherein the obtaining the surge probability packet case based on the surge probability distribution function and the surge capacity of the reactive load of each phase comprises:
based on the fluctuation probability distribution function of the reactive load of each phase, three groups of fluctuation value measuring intervals with highest distribution probability are obtained;
in the three groups of fluctuation value measuring intervals, the minimum fluctuation value measuring interval is used as the fluctuation probability basic unit capacity of the reactive compensation capacitor;
and determining the fluctuation probability grouping condition according to the maximum combination and minimum grouping principle based on the fluctuation probability basic unit capacity and the fluctuation capacity.
7. The method of claim 5, wherein the acquiring the probability packet case based on the probability distribution function and the base capacity of the reactive load of each phase further comprises:
and removing the reactive load value interval of load fluctuation in the setting range based on the maximum compensation capacity of each phase of reactive compensation capacitor.
8. The method of claim 1, wherein the obtaining of reactive load data for each phase of the low side of the distribution transformer comprises:
acquiring months corresponding to the maximum annual load, and counting the sum of the corresponding days of all the months;
and acquiring the reactive load data of 96 points per day of each phase on the low-voltage side of the distribution transformer.
9. A distribution transformer reactive compensation capacitor grouping system for implementing a distribution transformer reactive compensation capacitor grouping method as set forth in claim 1, comprising:
the acquisition function module is used for acquiring a probability distribution function of the reactive load of each phase on the low-voltage side of the distribution transformer and a fluctuation probability distribution function of the reactive load based on the reactive load data of each phase on the low-voltage side of the distribution transformer;
the maximum compensation capacity obtaining module is used for obtaining the maximum compensation capacity of the reactive compensation capacitor of the corresponding phase based on the probability distribution function of the reactive load of each phase of the low-voltage side of the distribution transformer;
and the grouping module is used for respectively determining the grouping condition of the reactive compensation capacitors of each phase of the distribution transformer based on the maximum compensation capacity of the reactive compensation capacitors of each phase, the probability distribution function of the reactive load and the fluctuation probability distribution function of the reactive load.
10. The system of claim 9, wherein the acquisition function module comprises:
the reactive load maximum value unit is used for taking the maximum value from the reactive load data of each phase at the low-voltage side of the distribution transformer and rounding the maximum value to obtain a reactive load maximum value;
the reactive load value interval unit is used for determining a reactive load value interval range based on the maximum value of the reactive load, and equally dividing the reactive load value interval range according to set intervals to obtain a reactive load value interval;
the first statistics unit is used for counting the quantity of reactive loads falling in each reactive load value interval;
and the first function unit is used for obtaining a probability distribution function of the reactive load corresponding to each reactive load value interval in each phase of the low-voltage side of the distribution transformer based on the number of the reactive loads and the total sample number falling in each reactive load value interval.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006014445A (en) * | 2004-06-24 | 2006-01-12 | Hitachi Ltd | Distribution line voltage fluctuation compensator |
| CN101350525A (en) * | 2008-08-13 | 2009-01-21 | 田田 | Method for configuring main change reactive compensation capacitor set of transformer substation |
| CN103795068A (en) * | 2014-03-05 | 2014-05-14 | 广东电网公司电力调度控制中心 | Optimal configuration method for high-voltage distribution network dynamic reactive power compensation equipment capacity |
| CN104022518A (en) * | 2014-06-18 | 2014-09-03 | 国家电网公司 | Intelligent substation reactive power optimization configuration method based on improved optimal covering method |
| CN108321810A (en) * | 2018-02-12 | 2018-07-24 | 华南理工大学 | Inhibit the distribution Multiple Time Scales powerless control method of grid-connected voltage fluctuation |
-
2018
- 2018-12-27 CN CN201811612902.5A patent/CN109659951B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006014445A (en) * | 2004-06-24 | 2006-01-12 | Hitachi Ltd | Distribution line voltage fluctuation compensator |
| CN101350525A (en) * | 2008-08-13 | 2009-01-21 | 田田 | Method for configuring main change reactive compensation capacitor set of transformer substation |
| CN103795068A (en) * | 2014-03-05 | 2014-05-14 | 广东电网公司电力调度控制中心 | Optimal configuration method for high-voltage distribution network dynamic reactive power compensation equipment capacity |
| CN104022518A (en) * | 2014-06-18 | 2014-09-03 | 国家电网公司 | Intelligent substation reactive power optimization configuration method based on improved optimal covering method |
| CN108321810A (en) * | 2018-02-12 | 2018-07-24 | 华南理工大学 | Inhibit the distribution Multiple Time Scales powerless control method of grid-connected voltage fluctuation |
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