CN112994050A - Method and device for treating station area unbalance based on standard deviation degree - Google Patents
Method and device for treating station area unbalance based on standard deviation degree Download PDFInfo
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Abstract
The invention discloses a method and a device for treating the unbalance of a distribution room based on standard deviation degree, wherein the method comprises the following steps: calculating the three-phase unbalance degree of each moment every day in a certain time period based on the obtained three-phase current in the certain time period; judging whether an unbalance out-of-limit event occurs at the x-th day t moment or not according to the three-phase unbalance and three-phase active power in a certain time period; if an unbalanced out-of-limit event occurs at the time t of the x day, classifying the phase currents at the time t of the x day into a setAnd calculate a setThe standard deviation of the three-phase current at each moment and the standard deviation degree before and after the mutation data point; and selecting an unbalanced treatment scheme based on the standard deviation, the standard deviation, the continuous days and the difference mutation data points of the three-phase current. By calculation ofThe standard deviation degree is beneficial to quickly, accurately and effectively selecting the optimal treatment scheme, the purpose of three-phase balance of the low-voltage distribution network is achieved, and a reference basis is provided for selecting the three-phase unbalance treatment scheme.
Description
Technical Field
The invention belongs to the technical field of power quality management, and particularly relates to a method and a device for managing station area unbalance based on standard deviation degree.
Background
In recent years, with the continuous development of economy in China, the load in a power distribution network is increased day by day, and great pressure is brought to the operation of a power grid. Meanwhile, each distribution area in the distribution network in China mostly adopts a three-phase four-wire system wiring mode, most of loads are single-phase loads, and the three-phase loads are unbalanced due to the difference of running time and the nonuniformity of distribution.
In order to solve the problem, various power supply companies adopt different treatment measures, and the main measures are as follows: artificial phase modulation, automatic phase modulation device and additional compensation device. The manual phase modulation realizes three-phase balance mainly by manually adjusting the access phase sequence of user load, and the method generally adjusts once a quarter or half a year, has longer adjustment time interval and is suitable for distribution areas with more consistent load change rules. The automatic phase modulation device can automatically modulate the phase, but the treatment effect and the service life of the device are easily influenced by the load change. The additional compensation device achieves the purpose of three-phase balance by carrying out asymmetric compensation on the load, has the best treatment effect among the three, but has higher investment cost, and is suitable for the transformer area with strong unbalanced time variation and more impact loads.
However, current research on three-phase imbalance abatement focuses on reactive compensation using power devices or optimization of phase sequence adjustment strategies using intelligent algorithms, and little is concerned with optimization for abatement schemes. In addition, operation and maintenance personnel at the present stage often select a treatment scheme according to experience, and a scientific selection method is lacked, so that the treatment effect or the economy is poor. Therefore, the most appropriate treatment scheme needs to be selected from the manual phase modulation device, the automatic phase modulation device and the additional compensation device according to different load characteristics of each transformer area, so that the optimal treatment effect is achieved, and the three-phase balanced operation of the transformer area is realized.
Disclosure of Invention
The invention provides a method and a device for treating the unbalance of a distribution room based on standard deviation degree, which are used for solving at least one technical problem.
In a first aspect, the invention provides a method for calculating the three-phase unbalance degree of each time every day based on the obtained three-phase current of a certain time period in the peak-facing summer or winter period of the previous annual distribution area; judging whether an unbalanced out-of-limit event occurs at the time t of the x day according to the three-phase unbalance and three-phase active power of a certain time period in the peak-facing summer or winter period of the previous year distribution area; if an unbalanced out-of-limit event occurs at the time t of the x day, classifying the phase currents at the time t of the x day into a setAnd calculating said setThe standard deviation of the three-phase current at each moment and the standard deviation degree before and after the mutation data point are shown in the specification, wherein the calculation expression of the standard deviation of the three-phase current is as follows:in the formula (I), the compound is shown in the specification,respectively as the standard deviation of phase A current, the standard deviation of phase B current and the standard deviation of phase C current on the x-th day,、、the average value of the phase A current on the x-th day, the average value of the phase B current on the x-th day and the average value of the phase C current on the x-th day are respectively,as set on day xThe number of elements contained in (a) is,、、phase A current, phase B current and phase C current at the ith moment of the x day respectively; the calculation expression of the standard deviation degree before and after the mutation data point is as follows:in the formula (I), the compound is shown in the specification,mutation data points on day x, respectivelyThe standard deviation degree of the front and back A-phase current, the standard deviation degree of the B-phase current and the standard deviation degree of the C-phase current,as set on day xThe number of mutation data points contained in (a),、、the 1 st to the 1 st mutation data points on the x-th dayStandard deviation of A-phase current of each mutation data point, 1 st mutation data point to the x th mutation data point on x th dayStandard deviation of B-phase current of each mutation data point, 1 st mutation data point to the x th mutation data point on the x th dayThe standard deviation of the C-phase current for each of the abrupt change data points,、、respectively on the x-th dayMutation of data point toStandard deviation of A-phase current of each mutation data point, day xMutation of data point toStandard deviation of B-phase current of each mutation data point, day xFrom time to timeC-phase current standard deviation of the individual mutation data points; and selecting an unbalanced treatment scheme based on the three-phase current standard deviation, the standard deviation, the lasting days and the difference mutation data points.
In a second aspect, the present invention provides a station area imbalance management apparatus based on a standard deviation degree, including: the first calculation module is configured to calculate the three-phase unbalance degree of each time every day based on the obtained three-phase current of a certain time period in the peak-facing summer or winter period of the previous annual distribution area; the judging module is configured to judge whether an unbalance out-of-limit event occurs at the x-th day t moment according to the three-phase unbalance and three-phase active power of a certain time period in the peak-facing summer or winter period of the previous annual distribution area; a second calculation module configured to, if an unbalance out-of-limit event occurs at the time of the xth day, classify the phase currents at the time of the xth day into a setAnd calculating said setThe standard deviation of the three-phase current at each moment and the deviation of the standard deviation before and after the sudden change data point, wherein the three-phase currentThe calculated expression for the standard deviation is:in the formula (I), the compound is shown in the specification,respectively as the standard deviation of phase A current, the standard deviation of phase B current and the standard deviation of phase C current on the x-th day,、、the average value of the phase A current on the x-th day, the average value of the phase B current on the x-th day and the average value of the phase C current on the x-th day are respectively,as set on day xThe number of elements contained in (a) is,、、phase A current, phase B current and phase C current at the ith moment of the x day respectively; the calculation expression of the standard deviation degree before and after the mutation data point is as follows:in the formula (I), the compound is shown in the specification,mutation data points on day x, respectivelyThe standard deviation degree of the front and back A-phase current, the standard deviation degree of the B-phase current and the standard deviation degree of the C-phase current,as set on day xThe number of mutation data points contained in (a),、、the 1 st to the 1 st mutation data points on the x-th dayStandard deviation of A-phase current of each mutation data point, 1 st mutation data point to the x th mutation data point on x th dayStandard deviation of B-phase current of each mutation data point, 1 st mutation data point to the x th mutation data point on the x th dayThe standard deviation of the C-phase current for each of the abrupt change data points,、、are respectively asDay xMutation of data point toStandard deviation of A-phase current of each mutation data point, day xMutation of data point toStandard deviation of B-phase current of each mutation data point, day xFrom time to timeC-phase current standard deviation of the individual mutation data points; a selection module configured to select an imbalance treatment plan based on the three-phase current standard deviation, the standard deviation, the duration days, and the delta mutation data points.
In a third aspect, an electronic device is provided, comprising: the system comprises at least one processor and a memory which is in communication connection with the at least one processor, wherein the memory stores instructions which can be executed by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the steps of the station area unbalance treatment method based on the standard deviation degree of any embodiment of the invention.
In a fourth aspect, the present invention also provides a computer program product comprising a computer program stored on a non-volatile computer-readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the steps of the standard deviation based station area imbalance management method according to any one of the embodiments of the present invention.
According to the method and the device for treating the unbalance of the transformer area based on the standard deviation degree, the unbalance of three-phase currents at each moment is calculated based on the collected data, and a set is calculatedAnd the three-phase current standard deviation and the standard deviation degree at each moment are selected based on the optimal treatment scheme, so that the three-phase imbalance of the transformer area can be accurately and effectively treated, the operation is easy, and the practicability is high.
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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 a method for managing an imbalance of a distribution room based on a standard deviation according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for treating an imbalance of a distribution room based on a standard deviation according to an embodiment of the present invention;
FIG. 3 is a graph of a three-phase current curve for 10kV Taketom port line for 3 months and 17 days according to an embodiment of the present invention;
fig. 4 is a three-phase current graph of 10kV911 masa line, pin 01, official change for 3 months and 2 days according to an embodiment of the present invention;
fig. 5 is a three-phase current curve diagram of 10kV916 catalpa line catalpa village sentry board brain changes for 3 months and 15 days according to an embodiment of the present invention;
fig. 6 is a block diagram of a structure of a station area imbalance management apparatus based on a standard deviation degree according to an embodiment of the present invention;
fig. 7 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 a method for treating an imbalance of a distribution room based on a standard deviation according to the present application is shown.
As shown in fig. 1, in S101, based on the obtained three-phase currents in the time period T, a three-phase imbalance degree at each time every day in the certain time period is calculated;
in S102, judging whether an unbalance out-of-limit event occurs at the x-th day T moment according to the three-phase unbalance and the three-phase active power in the time period T;
in S103, if the unbalance out-of-limit event occurs at the x-th day t, the phase currents at the x-th day t are collected into a setAnd calculating said setThe standard deviation of the three-phase current at each moment and the standard deviation degree before and after the mutation data point;
in S104, an imbalance treatment scheme is selected based on the three-phase current standard deviation, the standard deviation, the duration days and the delta mutation data points.
The method comprises the steps of firstly obtaining three-phase current and three-phase active power in a time period T, calculating three-phase unbalance degrees of each time every day, then judging whether an unbalance out-of-limit event occurs at the time T or not according to the three-phase current unbalance degrees and the three-phase active power, and if the unbalance out-of-limit event occurs, classifying each phase current at the time T of the x-th day into a setAnd calculate a setAnd finally, selecting an unbalanced treatment scheme according to the three-phase current standard deviation and the three-phase current standard deviation degree, the lasting days and the mutation data points, so that the optimal treatment scheme can be quickly, accurately and effectively selected by calculating the standard deviation degree, the purpose of three-phase balance of the low-voltage distribution network is realized, and a reference basis is provided for selecting the unbalanced treatment scheme.
Referring to fig. 2, a flowchart of a method for treating an imbalance of a distribution room based on a standard deviation degree according to an embodiment of the present application is shown.
As shown in fig. 2, a method for treating an imbalance of a distribution room based on a standard deviation degree specifically includes the following steps:
the method comprises the following steps: acquiring three-phase current and three-phase active power of one month in the peak-facing summer or winter period of the transformer area in the last year, and calculating three-phase unbalance degree at each moment every day;
step two: judging whether an unbalanced out-of-limit event occurs at the moment t or not through the three-phase current unbalance degree and the three-phase active power, and if so, classifying the currents of all the phases at the moment t into a set;
Step three: computing collectionsStandard deviation of three-phase current at each moment and standard deviation before and after mutation data points;
step four: if it isIn the middle of the total number of the components is two or more than two(The standard deviation threshold value of the three-phase current) is adopted, and the days of the situation account for more than 20 days of one month in the period of meeting peak summer or winter, which shows that the three-phase current curves in the region have consistent fluctuation rules and are suitable for treatment by adopting manual phase change.
Step five: if it isIn the middle of the table, two or more than twoAt the mutation data pointFront and back satisfyTwo or more than two of the total number of the particles are less than(A three-phase current standard deviation degree threshold value,≠) Mutation data points,Wherein, in the step (A),、are all relevant parameters of the value range of the mutation data points,the number of elements contained in the set A (x) of the x-th day and the number of days of the situation account for more than 20 days of one month in the period of summer or winter of meeting the peak, which shows that the three-phase current curve of the region shows sectional fluctuation and has the characteristic of short-time continuous interleaving, and an automatic phase modulation device is selected for treatment;
step six: and if the requirement is not met, selecting an additional compensation device for treatment.
Wherein, the unbalance degree of the three-phase current is realized at the x-th day t in the step oneThe calculation method comprises the following steps:
in the formula (I), the compound is shown in the specification,the unbalance degree of the three-phase current is obtained,、andphase A current, phase B current and phase C current are respectively at the time t of the x-th day.
Wherein, the judging method in the second step is as follows:
if the data at the time t meet the following two conditionsDetermining that the mutation data point can be classified into a set. The conditions were as follows:
in the formula (I), the compound is shown in the specification,the unbalance degree of the three-phase current is obtained,the threshold value of the unbalance degree of the three-phase current is set;
In the formula (I), the compound is shown in the specification,at the time of day xThe active power of the phase(s),is one of phase A, phase B and phase C,is a single-phase load rate threshold of the distribution transformer,rated capacity of distribution transformer for transformer area;respectively the active power of phase A, the active power of phase B and the active power of phase C at the time t of the x day,is the three-phase total load rate threshold value of the distribution transformer.
The method for calculating the standard deviation of the three-phase current in the third step comprises the following steps:
in the formula (I), the compound is shown in the specification,respectively as the standard deviation of phase A current, the standard deviation of phase B current and the standard deviation of phase C current on the x-th day,、、the average value of the phase A current on the x-th day, the average value of the phase B current on the x-th day and the average value of the phase C current on the x-th day are respectively,as set on day xThe number of elements contained in (a) is,、、phase A current, phase B current and phase C current at the ith moment of the x day respectively;
the calculation expression of the standard deviation degree before and after the mutation data point is as follows:
in the formula (I), the compound is shown in the specification,mutation data points on day x, respectivelyThe standard deviation degree of the front and back A-phase current, the standard deviation degree of the B-phase current and the standard deviation degree of the C-phase current,as set on day xThe number of mutation data points contained in (a),、、the 1 st to the 1 st mutation data points on the x-th dayStandard deviation of A-phase current of each mutation data point, 1 st mutation data point to the x th mutation data point on x th dayStandard deviation of B-phase current of each mutation data point, 1 st mutation data point to the x th mutation data point on the x th dayThe standard deviation of the C-phase current for each of the abrupt change data points,、、respectively on the x-th dayMutation of data point toStandard deviation of A-phase current of each mutation data point, day xMutation of data point toStandard deviation of B-phase current of each mutation data point, day xFrom time to timeStandard deviation of C-phase current for each abrupt data point.
The application takes 10kV Huang reclaiming stone portline, 10kV911 Marsha line Yangong No. 01 public transform and 10kV916 Huacatalpine catalpine mountain village sentry brain public transform as examples to verify the correctness and the effectiveness of the method provided by the application. The method comprises the following specific steps:
as can be seen from Table 3, the standard deviations of the three-phase currents are respectively 14.8%, 11.5% and 12.2%, and the standard deviations are all larger than 8%, so that the possibility that the transformer area is treated by adopting artificial phase modulation is eliminated. Because 25 counting points are counted after data are removed in 17 days in 3 months, the station area can be divided into 13 according to the selection principle of mutation data points: 00 and 13: 30 two cases. When the mutation data point is 13: at 00, the degree of standard deviation is 25%, 58.77%, 68.81%, two of which are greater than 50%; when the mutation data point is 13: at 30, the degree of standard deviation was 23.4%, 84.44%, 71.24%, two of which were greater than 50%. In addition, the number of days that the platform appeared for 3 months was counted and was 26 days in total. In conjunction with the selection method presented herein, additional compensation devices should be employed for remediation. With reference to fig. 3, it can be observed that the three-phase current curve fluctuation characteristics of the distribution area meet the selection result requirements in days 3 and 17.
As can be seen from Table 5, the standard deviation degrees are respectively 15.72%, 24.85% and 7.34%, wherein the standard deviation degrees are more than 8%, so that the possibility of treatment by adopting artificial phase modulation in the region is eliminated. According to the mutation data point selection principle, setting the 3 month and 2 day mutation data points of the platform area as 16: 00, standard deviation degrees before and after mutation data points are 25.31%, 32.6%, 95.93%, and two of them are less than 50%. In addition, the number of days that the platform appeared for 3 months was counted and was 23 days in total. In combination with the selection method proposed herein, an automatic commutation device should be employed for remediation. With reference to fig. 4, it can be observed that the three-phase current curve fluctuation characteristics of the distribution area meet the selection result requirements in 3 months and 2 days.
As can be seen from Table 7, the standard deviation of the plateau at day 3 and day 15 was 4.14%, 13.96% and 6.02%, respectively, with both being less than 8%, and the plateau was found to be 23 days in total at month 3. In combination with the selection method presented herein, it can be judged that the block is suitable for remediation using artificial phase modulation. And as can be observed by combining the graph 5, the fluctuation characteristic of the three-phase current curve of the platform region can be observed to meet the requirement of the selection result within 3 months and 15 days.
Referring to fig. 6, a block diagram of a device for treating an imbalance of a distribution room based on a standard deviation degree according to an embodiment of the present invention is shown.
As shown in fig. 6, the device 200 for treating the imbalance of the transformer area includes a first calculating module 210, a determining module 220, a second calculating module 230, and a selecting module 240.
The first calculating module 210 is configured to calculate three-phase imbalance degrees at each moment every day based on the obtained three-phase currents in the time period T; the judging module 220 is configured to judge whether an unbalance out-of-limit event occurs at the xth day T moment according to the three-phase unbalance and the three-phase active power in the time period T; a second calculating module 230 configured to, if an unbalance out-of-limit event occurs at the time of the xth day, classify the phase currents at the time of the xth day into a setAnd calculating said setThe standard deviation of the three-phase current at each moment and the standard deviation degree before and after the mutation data point; the selection module 240 is used to select the module,and the method is configured to select an imbalance treatment scheme based on the three-phase current standard deviation, the standard deviation, the duration days and the difference mutation data points.
It should be understood that the modules recited in fig. 6 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. 6, and are not described again here.
In other embodiments, an embodiment of the present invention further provides a non-volatile computer storage medium, where the computer storage medium stores computer-executable instructions, and the computer-executable instructions may execute the method for treating the imbalance of the transformer area in any of the above method embodiments;
as one embodiment, a non-volatile computer storage medium of the present invention stores computer-executable instructions configured to:
calculating three-phase unbalance degrees of each moment every day in a certain time period based on the obtained three-phase current in the time period T;
judging whether an unbalance out-of-limit event occurs at the x-th day T moment or not according to the three-phase unbalance and the three-phase active power in the time period T;
if an unbalanced out-of-limit event occurs at the time t of the x day, classifying the phase currents at the time t of the x day into a setAnd calculating said setThe standard deviation of the three-phase current at each moment and the standard deviation degree before and after the mutation data point;
and selecting an unbalanced treatment scheme based on the three-phase current standard deviation, the standard deviation, the lasting days and the difference mutation data points.
The non-volatile 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 according to use of the station area unbalance management apparatus, and the like. Further, the non-volatile computer-readable storage medium may include high speed random access memory, and may also include non-volatile 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 non-transitory computer readable storage medium optionally includes memory remotely located from the processor, and these remote memories may be connected to the station area imbalance abatement device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
An embodiment of the present invention further provides a computer program product, where the computer program product includes a computer program stored on a non-volatile computer-readable storage medium, and the computer program includes program instructions, and when the program instructions are executed by a computer, the computer executes any one of the above-mentioned station area imbalance management methods.
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 7, the electronic device includes: one or more processors 310 and a memory 320, with one processor 310 being illustrated in fig. 7. 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, as exemplified by the bus connection in fig. 7. The memory 320 is a non-volatile computer-readable storage medium as described above. The processor 310 executes various functional applications and data processing of the server by running the nonvolatile software programs, instructions and modules stored in the memory 320, so as to implement the station imbalance management method of the above-mentioned method embodiment. 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 station area unbalance management apparatus. The output device 340 may include a display device such as a display screen.
The product can execute the method provided by the embodiment of the invention, and has 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 platform area imbalance abatement device, 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:
calculating three-phase unbalance degrees of each moment every day in a certain time period based on the obtained three-phase current in the time period T;
judging whether an unbalance out-of-limit event occurs at the x-th day T moment or not according to the three-phase unbalance and the three-phase active power in the time period T;
if an unbalanced out-of-limit event occurs at the time t of the x day, classifying the phase currents at the time t of the x day into a setAnd calculating said setThe standard deviation of the three-phase current at each moment and the standard deviation degree before and after the mutation data point;
and selecting an unbalanced treatment scheme based on the three-phase current standard deviation, the standard deviation, the lasting days and the difference mutation data points.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
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. A method for treating the unbalance of a distribution room based on standard deviation degree is characterized by comprising the following steps:
calculating three-phase unbalance degrees of each moment every day in the time period T based on the obtained three-phase current in the time period T;
judging whether an unbalance out-of-limit event occurs at the x-th day T moment or not according to the three-phase unbalance and the three-phase active power in the time period T;
if an unbalanced out-of-limit event occurs at the time t of the x day, classifying the phase currents at the time t of the x day into a setAnd calculating said setThe standard deviation of the three-phase current at each moment and the standard deviation degree before and after the mutation data point are shown in the specification, wherein the calculation expression of the standard deviation of the three-phase current is as follows:
in the formula (I), the compound is shown in the specification,respectively as the standard deviation of phase A current, the standard deviation of phase B current and the standard deviation of phase C current on the x-th day,、、the average value of the phase A current on the x-th day, the average value of the phase B current on the x-th day and the average value of the phase C current on the x-th day are respectively,as set on day xThe number of elements contained in (a) is,、、phase A current, phase B current and phase C current at the ith moment of the x day respectively;
the calculation expression of the standard deviation degree before and after the mutation data point is as follows:
in the formula (I), the compound is shown in the specification,mutation data points on day x, respectivelyThe standard deviation degree of the front and back A-phase current, the standard deviation degree of the B-phase current and the standard deviation degree of the C-phase current,as set on day xThe number of mutation data points contained in (a),、、the 1 st to the 1 st mutation data points on the x-th dayStandard deviation of A-phase current of each mutation data point, 1 st mutation data point to the x th mutation data point on x th dayStandard deviation of B-phase current of each mutation data point, 1 st mutation data point to the x th mutation data point on the x th dayThe standard deviation of the C-phase current for each of the abrupt change data points,、、respectively on the x-th dayMutation of data point toStandard deviation of A-phase current of each mutation data point, day xMutation of data point toStandard deviation of B-phase current of each mutation data point, day xFrom time to timeC-phase current standard deviation of the individual mutation data points;
and selecting an unbalanced treatment scheme based on the three-phase current standard deviation, the standard deviation, the lasting days and the difference mutation data points.
2. The method for treating the unbalance of the distribution room based on the standard deviation degree according to claim 1, wherein the calculation expression of the unbalance degree of the three-phase current is as follows:
3. The method for treating the imbalance of the distribution room based on the standard deviation degree of the distribution room according to claim 1, wherein the first condition triggered by the imbalance out-of-limit event is as follows:
in the formula (I), the compound is shown in the specification,the unbalance degree of the three-phase current is obtained,the threshold value of the unbalance degree of the three-phase current is set;
the second condition triggered by the imbalance out-of-limit event is:
In the formula (I), the compound is shown in the specification,at the time of day xThe active power of the phase(s),is one of phase A, phase B and phase C,is a single-phase load rate threshold of the distribution transformer,rated capacity of distribution transformer for transformer area;respectively the active power of phase A, the active power of phase B and the active power of phase C at the time t of the x day,is the three-phase total load rate threshold value of the distribution transformer.
4. The method for treating the imbalance of the distribution room based on the standard deviation degree of the three-phase current, according to claim 1, wherein the selecting the imbalance treatment scheme based on the standard deviation of the three-phase current, the standard deviation degree of the standard deviation, the continuous days and the difference mutation data points comprises:
if the standard deviation of the phase A current, the standard deviation of the phase B current and the standard deviation of the phase C current on the x-th day meet two or more than twoAnd if the continuous days exceed the preset days threshold value, selecting a manual commutation control scheme, wherein,W 1and the standard deviation threshold value of the three-phase current is obtained.
5. The method for treating the imbalance of the distribution room based on the standard deviation degree of the three-phase current according to claim 1, wherein the selecting the imbalance treatment plan based on the standard deviation of the three-phase current, the standard deviation degree of the standard deviation, the continuous days and the difference mutation data points further comprises:
if the standard deviation of the phase A current, the standard deviation of the phase B current and the standard deviation of the phase C current on the x-th day meet two or more than twoAt the mutation data pointMutation data points before and after meeting x-th dayThe standard deviation degrees of the front and back A-phase currents, the standard deviation degree of the B-phase currents and the standard deviation degree of the C-phase currents are two or more than two less thanAnd if the continuous days exceed the preset days threshold, selecting a governing scheme of the automatic phase modulation device, wherein,W 1is a three-phase current standard deviation threshold value,W 2is a three-phase current standard deviation degree threshold value,,、are all relevant parameters of the value range of the mutation data points,the number of elements included in the set A (x) on day x.
6. The utility model provides a platform district unbalance management device based on standard deviation degree of deviation which characterized in that includes:
the first calculation module is configured to calculate three-phase unbalance degrees at each moment every day based on the obtained three-phase currents in the time period T;
the judging module is configured to judge whether an unbalance out-of-limit event occurs at the x-th day T moment according to the three-phase unbalance and the three-phase active power in the time period T;
a second calculation module configured to, if an unbalance out-of-limit event occurs at the time of the xth day, classify the phase currents at the time of the xth day into a setAnd calculating said setThe standard deviation of the three-phase current at each moment and the standard deviation degree before and after the mutation data point are shown in the specification, wherein the calculation expression of the standard deviation of the three-phase current is as follows:
in the formula (I), the compound is shown in the specification,respectively as the standard deviation of phase A current, the standard deviation of phase B current and the standard deviation of phase C current on the x-th day,、、the average value of the phase A current on the x-th day, the average value of the phase B current on the x-th day and the average value of the phase C current on the x-th day are respectively,as set on day xThe number of elements contained in (a) is,、、phase A current, phase B current and phase C current at the ith moment of the x day respectively;
the calculation expression of the standard deviation degree before and after the mutation data point is as follows:
in the formula (I), the compound is shown in the specification,mutation data points on day x, respectivelyThe standard deviation degree of the front and back A-phase current, the standard deviation degree of the B-phase current and the standard deviation degree of the C-phase current,as set on day xThe number of mutation data points contained in (a),、、the 1 st to the 1 st mutation data points on the x-th dayStandard deviation of A-phase current of each mutation data point, 1 st mutation data point to the x th mutation data point on x th dayStandard deviation of B-phase current of each mutation data point, 1 st mutation data point to the x th mutation data point on the x th dayThe standard deviation of the C-phase current for each of the abrupt change data points,、、respectively on the x-th dayMutation of data point toStandard deviation of A-phase current of each mutation data point, day xEach protrusionVariable data point toStandard deviation of B-phase current of each mutation data point, day xFrom time to timeC-phase current standard deviation of the individual mutation data points;
a selection module configured to select an imbalance treatment plan based on the three-phase current standard deviation, the standard deviation, the duration days, and the delta mutation data points.
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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