CN115378001B - Low-voltage distribution network artificial phase modulation method and system based on load periodicity - Google Patents
Low-voltage distribution network artificial phase modulation method and system based on load periodicity 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
- H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
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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
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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
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- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/50—Arrangements for eliminating or reducing asymmetry in polyphase networks
Abstract
The invention discloses a method for load periodicityThe artificial phase modulation method and the artificial phase modulation system for the low-voltage distribution network comprise the following steps: acquiring periodic three-phase outlet current data, three-phase outlet electric quantity data, a user phase sequence and user electric quantity data of the low-voltage distribution network; calculating the current similarity of the AB phase, BC phase and AC phase at the outlet of the low-voltage distribution network in each day
，
，
(ii) a Calculating each day in a period
，
，
Is the ratio of the number of maxima to the total number of days in a cycle
、
、
(ii) a If it is
、
、
If the maximum value is greater than the preset threshold value, the load electric quantity distribution is constructed to be the maximumThe equalization and total phase modulation times are at least the phase modulation strategy model of the objective function. The three-phase unbalance degree of the low-voltage power distribution network suitable for artificial phase modulation can still meet the distribution network operation regulation in a long time after the phase modulation, so that the problem of repeated phase modulation effect is avoided to a certain extent.
Description
Technical Field
The invention belongs to the technical field of three-phase imbalance of a low-voltage distribution network, and particularly relates to a low-voltage distribution network artificial phase modulation method and system based on load periodicity.
Background
The wiring mode of the low-voltage distribution network in China is mainly a three-phase four-wire system, and the problem of three-phase imbalance of most low-voltage distribution networks is caused because loads connected to a user side are generally single-phase loads and the space-time distribution of the single-phase loads is unbalanced. Three-phase imbalance can cause a series of problems of abnormal rise of local temperature of the transformer, increase of platform loss, reduction of power quality and the like. At present, the solution to the problem of three-phase imbalance of the low-voltage distribution network mainly comprises several modes of installing an automatic phase converter, active compensation, reactive compensation, artificial phase modulation and the like. Because installation automatic phase converter, active compensation, reactive compensation all need purchase a certain amount of equipment and the effect is not good, consequently, most low voltage distribution network all adopts the mode of artifical phase modulation to administer unbalanced three phase.
However, the current artificial phase modulation mainly depends on a trial and error method of artificial experience and only considers the three-phase imbalance degree at the phase modulation time, so that part of the load of the heavy-load phase is manually transferred to the light-load phase, and the problems of load periodicity of a low-voltage distribution network, whether the load change rules of all phases of users are consistent (namely, the power peak time and the power valley time are consistent, and only the phase currents are different in size) and the like are not considered, so that the three-phase balance of the low-voltage distribution network is only realized during the phase modulation, but the three-phase imbalance still occurs in a period of time after the phase modulation, and the three-phase imbalance is possibly more serious.
Therefore, in order to better solve the problem of three-phase imbalance of the low-voltage distribution network, a research method of an artificial phase modulation strategy of the low-voltage distribution network based on load periodicity is urgently needed.
Disclosure of Invention
The invention provides a low-voltage distribution network artificial phase modulation method and system based on load periodicity, which are used for solving the technical problems that a low-voltage distribution network is balanced in three phases only during phase modulation, and is unbalanced in three phases in a period of time after phase modulation and possibly more serious.
In a first aspect, the present invention provides a low voltage distribution network artificial phase modulation method based on load periodicity, including: acquiring periodic three-phase outlet current data, three-phase outlet electric quantity data, a user phase sequence and user electric quantity data of the low-voltage distribution network; calculating the current similarity of A phase and B phase at the outlet side of the low-voltage distribution network in a cycle every day
Current similarity between phase B and phase C in a cycle
And the current similarity between the A phase and the C phase in each day in a period
(ii) a Respectively calculate in one period
Ratio of the number of days at maximum to the total number of days in a cycle
、
Ratio of the number of days at maximum to the total number of days in a cycle
And
ratio of maximum number of days to total number of days in a cycle
(ii) a Judgment of
、
、
Whether the maximum value of (1) is greater than a preset threshold value; if it is
、
、
If the maximum value in the phase modulation strategy model is greater than a preset threshold value, constructing a phase modulation strategy model taking the load electric quantity distribution with the most balance and the minimum total phase modulation times as objective functions, wherein the expression of the objective function with the most balance load electric quantity distribution is as follows:
in the formula (I), the reaction is carried out,
the maximum value of the difference value of the electric quantity to be distributed of the phase A, the phase B and the phase C and the actual adjustment electric quantity of each phase after phase conversion,
the difference value between the electric quantity required to be distributed by the phase A of the distribution and transformation outlet and the total electric quantity adjusted by each phase of users after the phase is distributed and transformed,
the difference between the electric quantity required to be distributed for the phase B of the distribution and transformation outlet and the adjusted total electric quantity of each phase user after the phase B of the distribution and transformation,
the difference value between the electric quantity required to be distributed for the phase C at the distribution and transformation outlet and the total electric quantity adjusted by each phase of users after the phase is distributed and transformed; the expression of the objective function with the least total phase modulation order is:
in the formula (I), wherein,
for the phase sequence matrix before the user commutates,
the phase sequence matrix after the phase commutation is performed for the user,
as the total number of users,
in order to obtain the total number of phase modulation times,
to a certain usePhase modulation times of the user; and solving the phase modulation strategy model to obtain an artificial phase modulation strategy.
In a second aspect, the present invention provides a low voltage distribution network manual phase modulation system based on load periodicity, comprising: the acquisition module is configured to acquire three-phase outlet current data, three-phase outlet electric quantity data, a user phase sequence and user electric quantity data of a period of the low-voltage distribution network; a first calculation module configured to calculate a current similarity of phases A and B on an outlet side of the low-voltage distribution network per day in a period
Current similarity between phase B and phase C in a cycle
And the current similarity between the A phase and the C phase in each day in a period
(ii) a A second calculation module configured to calculate a period respectively
Ratio of maximum number of days to total number of days in a cycle
、
Ratio of maximum number of days to total number of days in a cycle
And
ratio of maximum number of days to total number of days in a cycle
(ii) a Judging moduleA block configured to judge
、
、
Whether the maximum value of (1) is greater than a preset threshold value; constructing a module if
、
、
If the maximum value in the phase modulation strategy model is greater than a preset threshold value, constructing a phase modulation strategy model taking the load electric quantity distribution with the most balance and the minimum total phase modulation times as objective functions, wherein the expression of the objective function with the most balance load electric quantity distribution is as follows:
in the formula (I), wherein,
the maximum value of the difference value of the electric quantity to be distributed of the phase A, the phase B and the phase C and the actual adjustment electric quantity of each phase after phase conversion,
the difference between the electric quantity required to be distributed for the A phase of the distribution and transformation outlet and the adjusted total electric quantity of each phase of users after the distribution and transformation phase,
the difference between the electric quantity required to be distributed for the phase B of the distribution and transformation outlet and the adjusted total electric quantity of each phase user after the phase B of the distribution and transformation,
the difference value between the electric quantity required to be distributed for the phase C of the distribution and transformation outlet and the total electric quantity adjusted by each phase of users after the phase C of the distribution and transformation is changed; the expression of the objective function with the least total phase modulation order is:
in the formula (I), wherein,
for the phase sequence matrix before the user commutates,
the phase sequence matrix after the phase commutation is performed for the user,
as the total number of users,
in order to obtain the total number of phase modulation times,
the number of phase modulations for a certain user; and the solving module is configured to solve the phase modulation strategy model to obtain an artificial phase modulation strategy.
In a third aspect, an electronic device is provided, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to perform the steps of the low voltage distribution network artificial phase modulation method based on load periodicity of any of the embodiments of the present invention.
In a fourth aspect, the present invention also provides a computer readable storage medium having stored thereon a computer program having instructions which, when executed by a processor, cause the processor to perform the steps of the method for artificial phasing of a low voltage distribution network based on load periodicity according to any of the embodiments of the present invention.
The utility model provides a low voltage distribution network manual phase modulation method and system based on load periodicity, through constructing the phase modulation strategy model with load electric quantity distribution is balanced the most and the phase modulation number of times is minimum as objective function, and user's electric quantity and the phase sequence data of the low voltage distribution network that will be fit for manual phase modulation input this model, solve this model and then the automatic generation manual phase modulation tactics through genetic algorithm at last, the low voltage distribution network that can be fine not suitable for manual phase modulation carries out manual phase modulation, and can make the low voltage distribution network that is fit for manual phase modulation three-phase unbalance still satisfy distribution network operation regulation in a long time after the phase modulation, thereby avoided the problem that the phase modulation effect is relapse to a certain extent.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a flowchart of an artificial phase modulation method for a low-voltage distribution network based on load periodicity according to an embodiment of the present invention;
fig. 2 is a flowchart of an embodiment of an artificial phase modulation method for a low-voltage distribution network based on load periodicity;
fig. 3 is a block diagram of a low-voltage distribution network manual phase adjustment system based on load periodicity according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a flow chart of an artificial phase modulation method for a low voltage distribution network based on load periodicity according to the present application is shown.
As shown in fig. 1, an artificial phase modulation method for a low-voltage distribution network based on load periodicity specifically includes the following steps:
step S101, three-phase outlet current data, three-phase outlet electric quantity data, a user phase sequence and user electric quantity data of a low-voltage distribution network period are obtained.
In this embodiment, a period is generally one month, and the three-phase outlet current data of one period is current data measured once at the ABC three-phase outlet for 15 minutes, 96 times per day, and 2880 times per period; the three-phase outlet electric quantity data of one period is the total electric quantity of the three-phase outlet in one month generally; the user phase sequence generally comprises an A phase, a B phase and a C phase; the user power data is the total power consumed per user for one month.
Step S102, calculating the current similarity of the A phase and the B phase at the outlet side of the low-voltage distribution network in a cycle every day
Current similarity between phase B and phase C in a cycle
And the current similarity between the A phase and the C phase in each day in a period
。
In this embodiment, the outlet current measurement point data of the t day in a period of the phase a and the phase B of the low-voltage distribution network are obtained respectively
And
and constructing by taking n and m as the total number of the measuring points
A distance matrix, wherein elements of the distance matrix
In the formula (I), wherein,
the current of the measuring point at the ith moment of the phase A,
the current of a measuring point at the j-th moment of the phase B, n is the total number of the measuring points of the phase A current, and m is the total number of the measuring points of the phase B current;
calculating the minimum distance between two measuring points
：
In the formula (I), the compound is shown in the specification,
the distance between the i-1 st measuring point of the phase A and the j measuring point of the phase B,
is the distance between the ith measuring point of the phase A and the jth-1 measuring point of the phase B,
the minimum distance between the i-1 th measuring point of the phase A and the j-1 th measuring point of the phase B;
calculating the dynamic time bending distance of the A phase and the B phase, namely the current similarity of the A phase and the B phase in each day in a period
：
Similarly, calculating the dynamic time bending distance of the B phase and the C phase, namely the current similarity of the B phase and the C phase in each day in a period
And calculating the dynamic time warping distance of the A phase and the C phase, namely the current similarity of the A phase and the C phase in each day in a period
。
It should be noted that, a pearson correlation coefficient method can also be used to calculate the current similarity of the a phase and the B phase at the outlet side of the low-voltage distribution network in a cycle
Current similarity between phase B and phase C in a cycle
And the current similarity between the A phase and the C phase in each day in a period
。
Step S103, respectively calculating the period
Ratio of maximum number of days to total number of days in a cycle
、
Day of maximum valueRatio of number to total days in a cycle
And
ratio of maximum number of days to total number of days in a cycle
。
In this embodiment, the calculation is performed within T days of a period
，
，
Number of maxima:
then, the ratio of the number of days T contained in the period to the number of days T contained in the period is calculated, and the solving process is as follows:
in the same way, the method for preparing the composite material,
，
the ratio of the number of days which is the maximum in the whole period to the number of days in the whole period is respectively
,
。
Step S104, judge
、
、
Is greater than a preset threshold.
In this embodiment, whether the low voltage distribution network is suitable for artificial phase modulation is judged through threshold judgment. Wherein the threshold judgment means: get
、
、
The ratio of the maximum value to the threshold value is larger than the threshold value, and if the ratio is larger than the threshold value, the method is suitable for artificial phase modulation; otherwise, artificial phasing is not suitable.
In step S105, if
、
、
If the maximum value in the phase modulation strategy model is larger than a preset threshold value, constructing a phase modulation strategy model taking the most balanced load electric quantity distribution and the least total phase modulation times as objective functions.
In this embodiment, the specific steps for constructing the objective function with the most balanced load power distribution are as follows:
the current data measured in one period of the three-phase outlet are used for constructing a current curve matrix of the three-phase outlet of the low-voltage distribution network, wherein the current curve matrix is as follows:
in the formula (I), the compound is shown in the specification,
for the a-phase current at the ith time,
for the B-phase current at the ith time,
the phase C current at the ith time is,
for the a-phase current at the nth time,
for the phase B current at the nth time,
the phase C current at the Nth moment;
calculating the average current of the A-phase load, the average current of the B-phase load and the average current of the C-phase load to obtain the total average current of the three phases
Wherein, the expressions for calculating the average current of the A-phase load, the average current of the B-phase load and the average current of the C-phase load are as follows:
in the formula (I), the compound is shown in the specification,
is the average current of the A-phase load in a period,
is the average current of the B-phase load in a period,
the average current of the C-phase load in one period;
for a low-voltage distribution transformer, the outlet current is the distribution transformer low-voltage side current, the outlet voltage is the distribution transformer low-voltage side outlet voltage, and as the total power factor and the outlet voltage of a low-voltage distribution network do not fluctuate sharply, the total electricity quantity of a distribution transformer outlet is approximately equal to the product of the average current hours and the product of the calculated average current and the outlet rated voltage, and the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
to match the outlet rated voltage on the low-voltage side,
is the average current hours;
distribution transformer outlet A phase total electric quantity
B phase total electric quantity of distribution transformer outlet
And the total C-phase electric quantity of the distribution transformer outlet
Respectively as follows:
distribution and transformation outlet A phase electric quantity required to be distributed
B phase of distribution and transformation outlet needs to distribute electric quantity
And the electric quantity to be distributed at the C phase of the distribution and transformation outlet
Respectively as follows:
the phase sequence of the user is represented by the state column phasor E:
phase sequence matrix before user commutation
Comprises the following steps:
in the formula (I), the compound is shown in the specification,
state column phasors of user n, user 1, user 2, and user 3, respectively;
total electric quantity of user connected with phase A before phase transformation
The total electric quantity of the users connected with the B phase before the phase conversion is distributed
The total electric quantity of the users connected with the C phase before the phase conversion is distributed
Respectively as follows:
in the formula (I), the compound is shown in the specification,
total electric quantity of user n in a period is user 1, user 2 and user 3;
phase sequence matrix after user commutation
Comprises the following steps:
adjusting total electric quantity of A-phase users after phase conversion of distribution transformer
And the total adjusted electric quantity of the B-phase user after phase conversion of distribution
And the total adjusted electric quantity of the C-phase user after phase conversion of distribution transformer
Respectively as follows:
the electric quantity to be distributed by each phase of the distribution and transformation outlet is equal toDifference value of total adjustment electric quantity of A-phase users after phase transformation and distribution
Difference value between electric quantity required to be distributed by each phase of distribution and transformation outlet and total regulated electric quantity of B-phase user after distribution and transformation
The difference value between the electric quantity required to be distributed by each phase of the distribution and transformation outlet and the adjusted total electric quantity of the C-phase user after the distribution and transformation phase change
Respectively as follows:
looking up the corresponding state matrix E
，
，
The largest of which is the smallest, namely: make it
The minimum, most balanced load power distribution objective function can be expressed as:
in the formula (I), the compound is shown in the specification,
the maximum value of the difference value of the electric quantity to be distributed of the phase A, the phase B and the phase C and the actual adjustment electric quantity of each phase after phase conversion,
the difference between the electric quantity required to be distributed for the A phase of the distribution and transformation outlet and the adjusted total electric quantity of each phase of users after the distribution and transformation phase,
the difference value between the electric quantity required to be distributed by the phase B of the distribution and transformation outlet and the total electric quantity adjusted by each phase of users after the phase is distributed and transformed,
the difference value between the electric quantity required to be distributed for the phase C of the distribution and transformation outlet and the total electric quantity of the adjustment of each phase of users after the phase C of the distribution and transformation is changed.
The expression for the objective function with the least total phase modulation order is:
in the formula (I), the compound is shown in the specification,
for the phase sequence matrix before the user commutates,
the phase sequence matrix after the phase commutation is performed for the user,
for the total number of users,
in order to obtain the total number of phase modulation times,
the number of phase modulations for a certain user.
And S106, solving the phase modulation strategy model based on a genetic algorithm to obtain an artificial phase modulation strategy.
In this embodiment, the genetic coding is performed according to the phase sequence of each user in the low-voltage distribution network, i.e., [0, 1] represents phase a, [0,1,0] represents phase B, [1, 0] represents phase C;
coding the chromosome according to a gene coding strategy to generate an initial population;
calculating the fitness value of each chromosome in the population;
selecting a superior chromosome by a roulette selection mechanism, wherein the probability of the roulette selection mechanism is calculated by the formula:
in the formula (I), the compound is shown in the specification,
is the fitness value of the ith chromosome,
the number of the population is,
the probability of being selected for the ith population;
carrying out single-point crossing on the selected chromosome and the other chromosome, namely, randomly selecting one point from the two chromosomes to carry out segmentation and pairwise exchanging to form a new chromosome;
selecting one gene in the new chromosome and carrying out mutation according to a certain probability, namely the gene code before mutation is [0,1,0], and the gene code after mutation can be [1, 0] or [0, 1];
and performing iterative calculation, and completing phase modulation strategy model solving after the iteration times are reached to obtain an artificial phase modulation strategy, wherein the artificial phase modulation strategy comprises a user phase sequence before phase modulation of the low-voltage distribution network and a user phase sequence after phase modulation of the low-voltage distribution network.
It should be noted that the phase modulation strategy model can also be solved by adopting a particle swarm algorithm to obtain an artificial phase modulation strategy.
According to the method, the similarity between the three-phase outlet currents of the low-voltage distribution network is calculated through the DTW algorithm, and whether the low-voltage distribution network is suitable for solving the problem of three-phase imbalance of the low-voltage distribution network through manual phase modulation or not is judged through threshold analysis of the similarity. The problem that whether the load change rules of users of all phases are consistent (namely the peak time and the valley time of the power utilization are consistent, and only the phase current is different) can be well judged through a similarity threshold analysis method, then a phase modulation strategy model which takes the load electric quantity distribution most balanced and the phase modulation times least as objective functions is constructed, the user electric quantity and the phase sequence data of a low-voltage power distribution network suitable for manual phase modulation are input into the model, and finally the model is solved through a genetic algorithm so as to automatically generate a manual phase modulation strategy.
The method can well avoid the low-voltage power distribution network which is not suitable for manual phase modulation to perform manual phase modulation, and can enable the three-phase unbalance of the low-voltage power distribution network which is suitable for manual phase modulation to still meet the distribution network operation regulation in a long time after phase modulation, thereby avoiding the problem of repeated phase modulation effect to a certain extent.
Referring to fig. 2, a flowchart of an artificial phase modulation method for a low voltage distribution network based on load periodicity according to an embodiment of the present application is shown.
As shown in fig. 2, an artificial phase modulation method for a low-voltage distribution network based on load periodicity specifically includes the following steps:
specifically, three-phase outlet current and electric quantity of a 10kV Hongtang line before bamboo public transition of a hawk pond power supply company in 2022, 7 months and electric quantity and phase sequence data of a user are obtained. Wherein three-phase export current data has 2880, has user 101 family, and the electric quantity is the electric quantity that a month consumed, and the phase sequence is ABC three-phase mainly, wherein single-phase user 100 family, three-phase user 1 family.
Step 2, calculating the similarity of the current at every day in the period among the AB phase, BC phase and AC phase at the outlet of the low-voltage distribution network through a DTW algorithm
，
，
；
In particular, among others, the use of,
，
，
the result of the calculation of (c) is as follows:
step 3, calculating the daily time in a period
，
，
The ratio of the maximum number to the total number of days in a cycle;
step 4, judging whether the maximum value in the ratio is greater than a threshold value;
specifically, where the threshold is generally set to 0.9, the calculation result is
=0，
=0，
=1，
。
Step 5, if the maximum value in the ratio is not greater than the threshold value, the artificial phase modulation is not suitable;
step 6, if the maximum value in the ratio is larger than the threshold value, the method is suitable for artificial phase modulation, and the ratio of the average value of the outlet currents of the phase A, the phase B and the phase C and the sum of the average value and the sum of the outlet currents of the phase A, the phase B and the phase C in a period is calculated;
specifically, the three-phase outlet current values are:
average value of three-phase outlet current in one period
、
And
respectively as follows:
average value of A-phase current 43.56A
Average value of B-phase current 60.22A
Average C-phase current 96.47A.
Step 7, calculating the outlet electric quantities of the A phase, the B phase and the C phase according to the ratio, and respectively calculating the difference value with the average value of the three-phase outlet electric quantities to construct a target function;
specifically, the electric quantity value in one cycle of the three-phase outlet
Respectively as follows: 69666.24kW.h, 9629.32kW.h, 15426.43kW.h
The electricity quantity to be distributed for each phase of distribution and transformation outlet
、
、
Respectively as follows: 3707.75kW.h,1044.67kW.h, -4752.43kW.h
Difference value between electric quantity required to be distributed by each phase of distribution and transformation outlet and total electric quantity adjusted by each phase of user after phase distribution and transformation
Comprises the following steps:
the objective function is
At a minimum, i.e.
，
The objective function with the least number of phase modulations can be expressed as:
step 8, inputting the electric quantity and the phase sequence data of a user, wherein gen =0;
specifically, the input data is:
| serial number | Difference of each other | User' s | Monthly electricity quantity |
| 2 | [0,0,1] | 51450524 | 144.23 |
| 4 | [0,0,1] | 51450579 | 292.4 |
| 6 | [0,0,1] | 51450670 | 813.42 |
| 8 | [0,0,1] | 51450713 | 739.14 |
| 9 | [0,0,1] | 51450726 | 440.37 |
| 10 | [0,0,1] | 51450755 | 393.03 |
| 12 | [0,0,1] | 51450814 | 388.35 |
| 14 | [0,0,1] | 51450843 | 343.8 |
| 21 | [0,0,1] | 51451064 | 168.61 |
| 25 | [0,0,1] | 165184485 | 1748.42 |
| 26 | [0,0,1] | 170807762 | 192.24 |
| 31 | [0,1,0] | 51450449 | 730.76 |
| 33 | [0,1,0] | 51450511 | 304.02 |
| 35 | [0,1,0] | 51450540 | 642.22 |
| 36 | [0,1,0] | 51450582 | 375.13 |
| 37 | [0,1,0] | 51450595 | 603.69 |
| 38 | [0,1,0] | 51450612 | 673.93 |
| 40 | [0,1,0] | 51450654 | 251.47 |
| 41 | [0,1,0] | 51450683 | 427.13 |
| 42 | [0,1,0] | 51450739 | 118.82 |
| 43 | [0,1,0] | 51450771 | 565.71 |
| 44 | [0,1,0] | 51450898 | 183.91 |
| 53 | [0,1,0] | 51451080 | 632.81 |
| 54 | [0,1,0] | 51451123 | 320.36 |
| 55 | [0,1,0] | 51451152 | 388.31 |
| 60 | [0,1,0] | 375837036 | 356.69 |
| 62 | [0,1,0] | 411884187 | 885.06 |
| 66 | [1,0,0] | 51450452 | 804.25 |
| 67 | [1,0,0] | 51450465 | 335.51 |
| 69 | [1,0,0] | 51450553 | 366.31 |
| 70 | [1,0,0] | 51450609 | 714.88 |
| 72 | [1,0,0] | 51450638 | 466.63 |
| 73 | [1,0,0] | 51450696 | 522.57 |
| 75 | [1,0,0] | 51450768 | 353.12 |
| 77 | [1,0,0] | 51450797 | 814.5 |
| 78 | [1,0,0] | 51450830 | 310.96 |
| 79 | [1,0,0] | 51450869 | 109.85 |
| 81 | [1,0,0] | 51450902 | 158.67 |
| 83 | [1,0,0] | 51451006 | 308.12 |
| 84 | [1,0,0] | 51451051 | 495.77 |
| 85 | [1,0,0] | 51451077 | 377.9 |
| 86 | [1,0,0] | 51451093 | 662.39 |
| 88 | [1,0,0] | 51451110 | 589.32 |
| 90 | [1,0,0] | 168001882 | 496.98 |
| 91 | [1,0,0] | 271579032 | 589.64 |
| 92 | [1,0,0] | 324808447 | 1433.26 |
| 93 | [1,0,0] | 373839450 | 668.86 |
| 94 | [1,0,0] | 378386847 | 511.09 |
| 95 | [1,0,0] | 552432713 | 243.07 |
| 96 | [1,0,0] | 557969616 | 1342.11 |
| 97 | [1,0,0] | 576647904 | 509.64 |
Step 9, coding the chromosome according to the gene coding to generate an initialized population;
step 10, calculating the fitness value of each chromosome, and storing the optimal chromosome;
step 11, selecting operation;
step 12, cross operation;
step 13, mutation operation;
step 14, generating a new generation of population;
step 15, judging whether the iteration times are reached;
step 16, if the iteration times are not reached, gen = gen +1 is carried out;
and step 17, if the iteration times are reached, generating an artificial phase modulation strategy.
Specifically, the artificial phase adjustment strategy is:
referring to fig. 3, a block diagram of a low voltage distribution network manual phase adjusting system based on load periodicity is shown.
As shown in fig. 3, the manual phase adjusting system 200 for the low voltage power distribution network includes an obtaining module 210, a first calculating module 220, a second calculating module 230, a determining module 240, a constructing module 250, and a solving module 260.
The obtaining module 210 is configured to obtain three-phase outlet current data, three-phase outlet electric quantity data, a user phase sequence and user electric quantity data of a period of the low-voltage distribution network;
a first calculation module 220 configured to calculate a current similarity of the phases A and B on the outlet side of the low voltage distribution network per day in a period
Current similarity between phase B and phase C in a cycle
And the current similarity between the A phase and the C phase in each day in a period
；
A second calculating module 230 configured to calculate a period respectively
Ratio of maximum number of days to total number of days in a cycle
、
Ratio of maximum number of days to total number of days in a cycle
And
ratio of maximum number of days to total number of days in a cycle
；
A judging module 240 configured to judge
、
、
Whether or not the maximum value of (1) is greater thanPresetting a threshold;
constructing module 250 if
、
、
If the maximum value in the phase modulation strategy model is greater than a preset threshold value, constructing a phase modulation strategy model taking the load electric quantity distribution with the most balance and the minimum total phase modulation times as objective functions, wherein the expression of the objective function with the most balance load electric quantity distribution is as follows:
in the formula (I), the compound is shown in the specification,
in order to realize the purpose,
the difference between the electric quantity required to be distributed for the A phase of the distribution and transformation outlet and the adjusted total electric quantity of each phase of users after the distribution and transformation phase,
the difference between the electric quantity required to be distributed for the phase B of the distribution and transformation outlet and the adjusted total electric quantity of each phase user after the phase B of the distribution and transformation,
the difference value between the electric quantity required to be distributed for the phase C of the distribution and transformation outlet and the total electric quantity adjusted by each phase of users after the phase C of the distribution and transformation is changed;
the expression of the objective function with the least total phase modulation order is:
in the formula (I), the compound is shown in the specification,
for the phase sequence matrix before the user commutates,
the phase sequence matrix after the phase commutation is performed for the user,
for the total number of users,
the number of the total phase modulation times is,
phase modulation times for a certain user;
and the solving module 260 is configured to solve the phase modulation strategy model to obtain an artificial phase modulation strategy.
It should be understood that the modules depicted in fig. 3 correspond to various steps in the method described with reference to fig. 1. Thus, the operations and features described above for the method and the corresponding technical effects are also applicable to the modules in fig. 3, and are not described again here.
In still other embodiments, the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the program instructions, when executed by a processor, cause the processor to execute the artificial phase modulation method for the low voltage distribution network based on load periodicity in any of the above method embodiments;
as one embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions configured to:
acquiring periodic three-phase outlet current data, three-phase outlet electric quantity data, a user phase sequence and user electric quantity data of the low-voltage distribution network;
calculating the current similarity of A phase and B phase at the outlet side of the low-voltage distribution network in a cycle every day
Current similarity between phase B and phase C in a cycle
And the current similarity between the A phase and the C phase in each day in a period
；
Respectively calculate in one period
Ratio of maximum number of days to total number of days in a cycle
、
Ratio of maximum number of days to total number of days in a cycle
And
ratio of maximum number of days to total number of days in a cycle
；
Judgment of
、
、
Whether the maximum value of (1) is greater than a preset threshold value;
if it is
、
、
If the maximum value in the phase modulation strategy model is larger than a preset threshold value, constructing a phase modulation strategy model taking the most balanced load electric quantity distribution and the least total phase modulation times as objective functions;
and solving the phase modulation strategy model to obtain an artificial phase modulation strategy.
The computer-readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of a manual phase modulation system of a low voltage distribution network based on a load periodicity, and the like. Further, the computer-readable storage medium may include high speed random access memory, and may also include memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the computer readable storage medium optionally includes memory remotely located from the processor, and these remote memories may be connected over a network to a low voltage power distribution network manual phasing system based on load periodicity. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 4, the electronic device includes: a processor 310 and memory 320. The electronic device may further include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330, and the output device 340 may be connected by a bus or other means, such as the bus connection in fig. 4. The memory 320 is the computer-readable storage medium described above. The processor 310 executes various functional applications of the server and data processing by running nonvolatile software programs, instructions and modules stored in the memory 320, namely, implementing the low voltage distribution network artificial phase modulation method based on load periodicity of the above method embodiments. The input device 330 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the low voltage distribution network manual phasing system based on load periodicity. The output device 340 may include a display device such as a display screen.
The electronic device can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
As an embodiment, the electronic device is applied to a low-voltage distribution network manual phase-adjusting system based on load periodicity, and is used for a client, and the electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to:
acquiring periodic three-phase outlet current data, three-phase outlet electric quantity data, a user phase sequence and user electric quantity data of the low-voltage distribution network;
calculating the current similarity of A phase and B phase at the outlet side of the low-voltage distribution network in a cycle every day
Current similarity between phase B and phase C in a cycle
And the current similarity between the A phase and the C phase in each day in a period
；
Respectively calculate the period
Is at mostRatio of days of value to total days in a cycle
、
Ratio of maximum number of days to total number of days in a cycle
And
ratio of maximum number of days to total number of days in a cycle
；
Judgment of
、
、
Whether the maximum value is greater than a preset threshold value;
if it is
、
、
If the maximum value in the phase modulation strategy model is larger than a preset threshold value, constructing a phase modulation strategy model taking the most balanced load electric quantity distribution and the least total phase modulation times as objective functions;
and solving the phase modulation strategy model to obtain an artificial phase modulation strategy.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. The artificial phase modulation method for the low-voltage distribution network based on load periodicity is characterized by comprising the following steps of:
acquiring periodic three-phase outlet current data, three-phase outlet electric quantity data, a user phase sequence and user electric quantity data of the low-voltage distribution network;
calculating the current similarity of A phase and B phase at the outlet side of the low-voltage distribution network in a cycle every day
Current similarity between phase B and phase C in a cycle
And the current similarity between the A phase and the C phase in each day in a period
；
Respectively calculate in one period
Ratio of the number of days at maximum to the total number of days in a cycle
、
Ratio of maximum number of days to total number of days in a cycle
And
ratio of the number of days at maximum to the total number of days in a cycle
；
Judgment of
、
、
Whether the maximum value of (1) is greater than a preset threshold value;
if it is
、
、
If the maximum value in the phase modulation strategy model is greater than a preset threshold value, constructing a phase modulation strategy model taking the load electric quantity distribution with the most balance and the minimum total phase modulation times as objective functions, wherein the expression of the objective function with the most balance load electric quantity distribution is as follows:
in the formula (I), the compound is shown in the specification,
the maximum value of the difference value of the electric quantity required to be distributed of the A phase, the B phase and the C phase and the actual adjustment electric quantity of each phase after phase change,
the difference between the electric quantity required to be distributed for the A phase of the distribution and transformation outlet and the adjusted total electric quantity of each phase of users after the distribution and transformation phase,
the difference between the electric quantity required to be distributed for the phase B of the distribution and transformation outlet and the adjusted total electric quantity of each phase user after the phase B of the distribution and transformation,
the difference value between the electric quantity required to be distributed for the phase C at the distribution and transformation outlet and the total electric quantity adjusted by each phase of users after the phase is distributed and transformed;
the expression of the objective function with the least total phase modulation order is:
in the formula (I), the compound is shown in the specification,
for the phase sequence matrix before the user commutates,
the phase sequence matrix after the phase commutation is performed for the user,
as the total number of users,
in order to obtain the total number of phase modulation times,
the number of phase modulations for a certain user;
and solving the phase modulation strategy model to obtain an artificial phase modulation strategy.
2. The method for artificially phasing the low-voltage distribution network based on the load periodicity as claimed in claim 1, wherein the similarity of the current of the A phase and the B phase at the outlet side of the low-voltage distribution network in each day in a period is calculated
Current similarity between B phase and C phase in a cycle
And the current similarity between the A phase and the C phase in each day in a period
The method comprises the following steps:
respectively obtaining outlet current measurement point data of the t day in a period of A phase and B phase of the low-voltage distribution network
And
and constructing by taking n and m as the total number of the measuring points
A distance matrix, wherein elements of the distance matrix
In the formula (I), wherein,
is the current of the measuring point at the ith moment of the phase A,
the current of a measuring point at the j-th moment of the phase B, n is the total number of the phase A current measuring points, and m is the total number of the phase B current measuring points;
calculating the minimum distance between two measuring points
：
In the formula (I), the compound is shown in the specification,
the distance between the i-1 st measuring point of the phase A and the j measuring point of the phase B,
is the distance between the ith measuring point of the phase A and the jth-1 measuring point of the phase B,
the minimum distance between the i-1 th measuring point of the phase A and the j-1 th measuring point of the phase B;
calculating the dynamic time bending distance of the A phase and the B phase, namely the current similarity of the A phase and the B phase in each day in a period
：
In the formula (I), the compound is shown in the specification,
the distance between the n measuring points of the phase A and the m measuring points of the phase B,
taking the minimum value of the number of the measurement points of the A phase and the B phase,
the number of the measurement points of the A phase and the B phase,
the first measuring point of the phase A and the phase B;
similarly, calculating the dynamic time bending distance between the B phase and the C phase, namely the current similarity of the B phase and the C phase every day in a period
And calculating the dynamic time warping distance of the A phase and the C phase, namely the current similarity of the A phase and the C phase in each day in a period
。
3. The method according to claim 1, wherein the method for artificially modulating the phase of the low voltage distribution network based on the load periodicity is carried out at the judgment
、
、
After whether the maximum value is greater than a preset threshold value, the method further comprises:
if it is
、
、
If the maximum value in the phase difference is not greater than the preset threshold value, artificial phase modulation is not performed.
4. The artificial phase modulation method for the low-voltage distribution network based on the load periodicity as claimed in claim 1, wherein the step of constructing the objective function with the most balanced load and power distribution is specifically as follows:
the current data measured in one period of the three-phase outlet are used for constructing a current curve matrix of the three-phase outlet of the low-voltage distribution network, wherein the current curve matrix is as follows:
in the formula (I), the compound is shown in the specification,
for the a-phase current at the ith time,
for the B-phase current at the ith time,
the phase C current at the ith time is,
the a-phase current at the nth time is,
for the phase B current at the nth time,
the phase C current at the Nth moment;
calculating the average current of the A-phase load, the average current of the B-phase load and the average current of the C-phase load to obtain the total average current of the three phases
Wherein, the expressions for calculating the average current of the A-phase load, the average current of the B-phase load and the average current of the C-phase load are as follows:
in the formula (I), the compound is shown in the specification,
is the average current of the A-phase load in a period,
is the average current of the B-phase load in one period,
the average current of the C-phase load in one period;
according to total average current of three phases
Calculating the total outlet electric quantity of the distribution transformer outlet, wherein the expression of the total outlet electric quantity of the distribution transformer outlet is as follows:
in the formula (I), the compound is shown in the specification,
to match the outlet rated voltage on the low-voltage side,
is the average current hours;
distribution transformer outlet A phase total electric quantity
B phase total electric quantity of distribution transformer outlet
And the total C-phase electric quantity of the distribution transformer outlet
Respectively as follows:
distribution transformer outlet A phase electric quantity needing distribution
B phase of distribution and transformation outlet needs to distribute electric quantity
And the electric quantity to be distributed at the C phase of the distribution and transformation outlet
Respectively as follows:
the phase sequence of the user is represented by the state column phasor E:
phase sequence matrix before user commutation
Comprises the following steps:
in the formula (I), the compound is shown in the specification,
state column phasors of user n, user 1, user 2, and user 3, respectively;
total electric quantity of user connected with phase A before phase transformation
The total electric quantity of the users connected with the B phase before the phase conversion is distributed
The total electric quantity of the users connected with the C phase before the phase conversion is distributed
Respectively as follows:
in the formula (I), the compound is shown in the specification,
total electric quantity of user n in a period is user 1, user 2 and user 3;
phase sequence matrix after user commutation
Comprises the following steps:
adjusting total electric quantity of A-phase users after phase conversion of distribution transformer
And the total adjusted electric quantity of the B-phase user after phase conversion of distribution
And the total adjusted electric quantity of the C-phase user after phase conversion of distribution transformer
Respectively as follows:
the difference value between the electric quantity required to be distributed by each phase of the distribution and transformation outlet and the adjusted total electric quantity of the A-phase users after the distribution and transformation phase
The difference value between the electric quantity required to be distributed by each phase of the distribution and transformation outlet and the adjusted total electric quantity of the B-phase user after the distribution and transformation phase
The electric quantity to be distributed by each phase of the distribution and transformation outlet and the total electric quantity adjusted by the C-phase user after the distribution and transformationDifference value
Respectively as follows:
looking up the corresponding state matrix E
，
，
The largest of which is the smallest, namely: make it possible to
The minimum, most balanced load power distribution objective function can be expressed as:
5. the method according to claim 1, wherein the step of solving the phase modulation strategy model to obtain an artificial phase modulation strategy comprises:
performing gene coding according to the phase sequence of each user in the low-voltage distribution network, namely [0, 1] represents phase A, [0,1,0] represents phase B, and [1, 0] represents phase C;
coding the chromosome according to a gene coding strategy to generate an initial population;
calculating the fitness value of each chromosome in the population;
selecting a superior chromosome by a roulette selection mechanism, wherein the probability of the roulette selection mechanism is calculated by the formula:
in the formula (I), the compound is shown in the specification,
is the fitness value of the ith chromosome,
the number of the population is,
the probability of being selected for the ith population;
carrying out single-point crossing on the selected chromosome and the other chromosome, namely, randomly selecting one point from the two chromosomes to carry out segmentation and pairwise exchanging to form a new chromosome;
selecting one gene in the new chromosome and carrying out mutation according to a certain probability, namely the gene code before mutation is [0,1,0], and the gene code after mutation can be [1, 0] or [0, 1];
and performing iterative calculation, and completing phase modulation strategy model solving after the iteration times are reached to obtain an artificial phase modulation strategy, wherein the artificial phase modulation strategy comprises a user phase sequence before phase modulation of the low-voltage distribution network and a user phase sequence after phase modulation of the low-voltage distribution network.
6. A low voltage distribution network manual phase modulation system based on load periodicity, comprising:
the acquisition module is configured to acquire three-phase outlet current data, three-phase outlet electric quantity data, a user phase sequence and user electric quantity data of a period of the low-voltage distribution network;
a first calculation module configured to calculate a current similarity of phases A and B on an outlet side of the low-voltage distribution network per day in a period
Current similarity between phase B and phase C in a cycle
And the current similarity between the A phase and the C phase in each day in a period
；
A second calculation module configured to calculate a period respectively
Ratio of maximum number of days to total number of days in a cycle
、
Ratio of the number of days at maximum to the total number of days in a cycle
And
ratio of maximum number of days to total number of days in a cycle
；
A judging module configured to judge
、
、
Whether the maximum value of (1) is greater than a preset threshold value;
constructing a module if
、
、
If the maximum value in the phase modulation strategy model is greater than a preset threshold value, constructing a phase modulation strategy model taking the load electric quantity distribution with the most balance and the minimum total phase modulation times as objective functions, wherein the expression of the objective function with the most balance load electric quantity distribution is as follows:
in the formula (I), the compound is shown in the specification,
the maximum value of the difference value of the electric quantity to be distributed of the phase A, the phase B and the phase C and the actual adjustment electric quantity of each phase after phase conversion,
the difference between the electric quantity required to be distributed for the A phase of the distribution and transformation outlet and the adjusted total electric quantity of each phase of users after the distribution and transformation phase,
the difference between the electric quantity required to be distributed for the phase B of the distribution and transformation outlet and the adjusted total electric quantity of each phase user after the phase B of the distribution and transformation,
the electric quantity to be distributed for the C phase of the distribution and transformation outlet and the total electric quantity to be regulated by each phase of users after the distribution and transformationA difference value;
the expression of the objective function with the least total phase modulation order is:
in the formula (I), the compound is shown in the specification,
for the phase sequence matrix before the user commutates,
the phase sequence matrix after the phase commutation is performed for the user,
as the total number of users,
in order to obtain the total number of phase modulation times,
phase modulation times for a certain user;
and the solving module is configured to solve the phase modulation strategy model to obtain an artificial phase modulation strategy.
7. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any of claims 1 to 5.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 5.
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