CN116470517B - Distribution and transformation voltage optimization method, computing equipment and storage medium - Google Patents
Distribution and transformation voltage optimization method, computing equipment and storage medium Download PDFInfo
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Classifications
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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
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention relates to the field of power system automation, and discloses a distribution and transformation voltage optimization method, computing equipment and a storage medium, wherein the method comprises the following steps: determining the current gear of the target station; determining a second fitting function according to the busbar voltage data set and the distribution voltage data set; determining a gear optimization value according to the distribution transformer voltage of the target station transformer, the target voltage and the current distribution transformer gear; determining a corrected power distribution voltage data set according to the gear optimization value, and correcting the second fitting function to determine a third fitting function; determining a fourth fitting function according to the corrected distribution voltage data set and the feeder active data set; and determining a bus voltage optimization value according to the third fitting function and the fourth fitting function so as to adjust the distribution transformer voltage of the target transformer. According to the invention, the distribution gear of the target station can be adjusted through the operation data, and the bus voltage is optimized, so that the distribution voltage is optimized in combination with the bus voltage, and the high distribution voltage adjusting efficiency and the high distribution voltage adjusting effect are achieved.
Description
Technical Field
The invention relates to the field of power system automation, in particular to a power distribution and transformation voltage optimization method, computing equipment and a storage medium.
Background
Along with the construction of a novel power system, the power distribution network is automatic, the informatization level is continuously developed, and the lean management level is increasingly improved. Through construction for many years, the operation data of the current distribution transformer is relatively complete, but in actual operation management, the following problems are also existed: the gear adjustment workload is large, and the distribution transformer does not have automatic gear adjustment capability at present, so that the distribution transformer is required to be periodically subjected to on-site gear adjustment according to the load change condition every year so as to ensure the qualification rate of distribution transformer voltage. Because of the large quantity of power distribution, the gear adjustment needs to make a power failure plan and arrange on-site operation, and the manpower and material resources are greatly consumed. The transformer substation voltage reactive power control does not fully consider the distribution transformer state. At present, the transformer substation has automatic voltage reactive power regulation capability, so that the automatic regulation of the bus voltage of the transformer substation can be realized, and the bus voltage of the transformer substation is ensured to be qualified. But the operation state of the distribution transformer is not fully considered in the regulation process, and the bus voltage of the transformer substation has an optimization space. The network distribution frame and the topology parameters are not complete, and the analysis method cannot guarantee the effect.
For this reason, a new method for optimizing the distribution voltage is required.
Disclosure of Invention
To this end, the present invention provides a method of optimizing a distribution voltage in an effort to solve or at least alleviate the above-identified problems.
According to an aspect of the present invention, there is provided a method of optimizing a distribution voltage, adapted to be executed in a computing device, a plurality of transformers being connected to a bus bar, the method comprising the steps of: determining the current gear of the target station; determining a second fitting function of the bus voltage and the distribution transformer voltage of the target transformer according to the bus voltage data set and the distribution transformer voltage data set; determining a gear optimization value according to the distribution transformer voltage of the target station transformer, the target voltage and the current distribution transformer gear; determining a corrected distribution voltage data set according to the gear optimization value, and correcting the second fitting function according to the corrected distribution voltage data set to determine a third fitting function; determining a fourth fitting function for correcting the distribution transformer voltage and the distribution transformer active power according to the corrected distribution transformer voltage data set and the feeder active data set; and determining a bus voltage optimization value according to the third fitting function and the fourth fitting function so as to adjust the distribution transformer voltage of the target transformer according to the bus voltage optimization value.
Optionally, in the method according to the present invention, determining the current gear of the target station comprises: determining a reference station change closest to the target station on the bus; determining a first fitting function according to the active power data set and the distribution voltage data set of the target station transformer; obtaining normalized third active power of the target station transformer for the first active power of the target station transformer; obtaining a first distribution voltage under the target station transformation normalized active power according to the third active power and the first fitting function; and acquiring a second distribution voltage of the reference station transformer, and determining the current distribution gear of the target station transformer according to the first distribution voltage, the second distribution voltage and the current distribution gear of the reference station transformer.
Optionally, in the method according to the present invention, determining the current gear of the target station according to the first power distribution voltage, the second power distribution voltage, and the current gear of the reference station includes: calculating a normalized voltage ratio k according to the first distribution voltage and the second distribution voltage, and calculating a gear difference according to the following formula: and determining the current gear change gear of the target station according to the gear difference and the current gear change gear of the reference station.
Optionally, in the method according to the present invention, determining a second fitting function of the bus voltage and the distribution voltage of the target station according to the bus voltage dataset and the distribution voltage dataset comprises: determining a bus voltage sequence according to bus voltage data at different moments in the bus voltage data set; determining a distribution voltage sequence according to the distribution voltage data at different moments in the distribution voltage data set; and performing function fitting according to the distribution voltage sequence and the busbar voltage sequence to obtain a second fitting function.
Optionally, in the method according to the present invention, determining the gear optimization value according to the target station's power distribution voltage, the target voltage and the current power distribution gear comprises: determining a target distribution gear according to the distribution voltage and the target voltage; and determining a gear optimization value according to the target gear and the current gear.
Optionally, in the method according to the invention, determining the corrected distribution voltage data set according to the gear optimization value comprises: determining the voltage change proportion of the target station according to the gear optimization value; and determining a corrected distribution voltage data set according to the voltage change proportion and the distribution voltage data set.
Optionally, in the method according to the present invention, determining the busbar voltage optimization value according to the third fitting function and the fourth fitting function comprises: determining the distribution transformer voltage under the typical load according to the fourth fitting function to obtain a distribution transformer voltage interval; and determining a bus voltage optimization value according to the distribution voltage interval and the third fitting function.
Optionally, in the method according to the invention, determining the bus voltage optimization value according to the distribution voltage interval and the third fitting function comprises: adjusting the voltage of the test bus according to a preset step length, and obtaining the voltage of the test distribution transformer according to the voltage of the test bus and a third fitting function; and taking the test bus voltage with the highest qualification rate of the test distribution transformer voltage as a target bus voltage, and determining a bus voltage optimization value according to the target bus voltage and the bus voltage.
According to another aspect of the present invention, there is provided a computing device comprising: one or more processors; a memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods of optimizing a distribution voltage according to the present invention.
According to yet another aspect of the present invention, there is provided a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform any one of the methods of optimizing a distribution voltage according to the present invention.
The invention relates to a method for optimizing distribution and transformation voltage, which is suitable for being executed in computing equipment, wherein a plurality of transformers are connected to a bus, and the method comprises the following steps: determining the current gear of the target station; determining a second fitting function of the bus voltage and the distribution transformer voltage of the target transformer according to the bus voltage data set and the distribution transformer voltage data set; determining a gear optimization value according to the distribution transformer voltage of the target station transformer, the target voltage and the current distribution transformer gear; determining a corrected distribution voltage data set according to the gear optimization value, and correcting the second fitting function according to the corrected distribution voltage data set to determine a third fitting function; determining a fourth fitting function for correcting the distribution transformer voltage and the distribution transformer active power according to the corrected distribution transformer voltage data set and the feeder active data set; and determining a bus voltage optimization value according to the third fitting function and the fourth fitting function so as to adjust the distribution transformer voltage of the target transformer according to the bus voltage optimization value. According to the invention, the distribution gear of the target station can be adjusted through the operation data, and the bus voltage is optimized, so that the distribution voltage is optimized in combination with the bus voltage, and the high distribution voltage adjusting efficiency and the high distribution voltage adjusting effect are achieved. The invention can avoid the inaccuracy of the network frame parameters of the distribution network, and the calculation result is more accurate by analyzing the network frame parameters only through the current complete operation parameters.
Drawings
To the accomplishment of the foregoing and related ends, certain illustrative aspects are described herein in connection with the following description and the annexed drawings, which set forth the various ways in which the principles disclosed herein may be practiced, and all aspects and equivalents thereof are intended to fall within the scope of the claimed subject matter. The above, as well as additional objects, features, and advantages of the present disclosure will become more apparent from the following detailed description when read in conjunction with the accompanying drawings. Like reference numerals generally refer to like parts or elements throughout the present disclosure.
FIG. 1 shows a flow diagram of a method 100 for optimizing a distribution voltage according to an exemplary embodiment of the invention;
FIG. 2 illustrates a schematic diagram of a computing device according to an exemplary embodiment of the invention;
FIG. 3 illustrates a schematic diagram of a station transformer connected to a bus in accordance with an exemplary embodiment of the present invention;
FIGS. 4 a-4 c show graphs of corrected distribution voltage and bus voltage, respectively, for first through third variations according to an exemplary embodiment of the present invention;
fig. 5 a-5 c show graphs of corrected distribution voltage and feeder active, respectively, for a first through third transformer according to an exemplary embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. Like reference numerals generally refer to like parts or elements.
Fig. 1 shows a flow diagram of a method 100 for optimizing a distribution voltage according to an exemplary embodiment of the invention. The distribution voltage optimization method 100 of the present invention is suitable for execution in a computing device.
FIG. 2 illustrates a block diagram of a computing device according to an exemplary embodiment of the invention. In a basic configuration, computing device 200 includes at least one processing unit 220 and system memory 210. According to one aspect, depending on the configuration and type of computing device, system memory 210 includes, but is not limited to, volatile storage (e.g., random access memory), non-volatile storage (e.g., read-only memory), flash memory, or any combination of such memories. According to one aspect, system memory 210 includes an operating system 211.
According to one aspect, operating system 211 is suitable, for example, for controlling the operation of computing device 200. Further, examples are practiced in connection with a graphics library, other operating systems, or any other application program and are not limited to any particular application or system. This basic configuration is illustrated in fig. 2 by those components within dashed line 215. According to one aspect, computing device 200 has additional features or functionality. For example, according to one aspect, computing device 200 includes additional data storage devices (removable and/or non-removable) such as, for example, magnetic disks, optical disks, or tape.
As set forth hereinabove, according to one aspect, program modules 212 are stored in system memory 210. According to one aspect, program modules 212 may include one or more application programs, the invention is not limited to the type of application program, e.g., applications further include: email and contacts applications, word processing applications, spreadsheet applications, database applications, slide show applications, drawing or computer-aided application, web browser applications, etc.
According to one aspect, the examples may be practiced in a circuit comprising discrete electronic components, a packaged or integrated electronic chip containing logic gates, a circuit utilizing a microprocessor, or on a single chip containing electronic components or a microprocessor. For example, examples may be practiced via a system on a chip (SOC) in which each or many of the components shown in fig. 2 may be integrated on a single integrated circuit. According to one aspect, such SOC devices may include one or more processing units, graphics units, communication units, system virtualization units, and various application functions, all of which are integrated (or "burned") onto a chip substrate as a single integrated circuit. When operating via an SOC, the functionality described herein may be operated via dedicated logic integrated with other components of computing device 200 on a single integrated circuit (chip). Embodiments of the invention may also be practiced using other techniques capable of performing logical operations (e.g., AND, OR, AND NOT), including but NOT limited to mechanical, optical, fluidic, AND quantum techniques. In addition, embodiments of the invention may be practiced within a general purpose computer or in any other circuit or system.
According to one aspect, computing device 200 may also have one or more input devices 231, such as a keyboard, mouse, pen, voice input device, touch input device, or the like. Output devices 232 such as a display, speakers, printer, etc. may also be included. The foregoing devices are examples and other devices may also be used. Computing device 200 may include one or more communication connections 233 that allow communication with other computing devices 240. Examples of suitable communication connections 233 include, but are not limited to: RF transmitter, receiver and/or transceiver circuitry; universal Serial Bus (USB), parallel and/or serial ports. Computing device 200 may be communicatively connected to other computing devices 240 via communication connection 233.
Embodiments of the present invention also provide a non-transitory readable storage medium storing instructions for causing the computing device to perform a method of optimizing a distribution voltage implemented in accordance with the present invention. The readable media of the present embodiments, including both permanent and non-permanent, removable and non-removable media, may be any method or technology for information storage. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of readable storage media include, but are not limited to: phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transitory readable storage medium.
According to one aspect, communication media is embodied by computer readable instructions, data structures, program modules, or other data in a modulated data signal (e.g., carrier wave or other transport mechanism) and includes any information delivery media. According to one aspect, the term "modulated data signal" describes a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio Frequency (RF), infrared, and other wireless media.
It should be noted that although the above-described computing device only shows processing unit 220, system memory 210, input device 231, output device 232, and communication connection 233, the device may include other components necessary to achieve proper operation in a particular implementation. Furthermore, it will be understood by those skilled in the art that the above-described apparatus may include only the components necessary to implement the embodiments of the present description, and not all the components shown in the drawings.
Returning to fig. 1, a power distribution voltage optimization method 100 begins at step 110 by determining a current power distribution gear of a target station.
According to one embodiment of the invention, the invention first determines the target transformer which needs to be optimized for the distribution and transformation voltage, and the transformer can be realized as a bench transformer. The plurality of transformers may be connected to a bus bar, which may be implemented as a substation bus bar. The invention does not limit the specific number of the station transformers connected on the bus and the specific mode of connecting the station transformers.
Fig. 3 shows a schematic diagram of a station transformer connected to a bus according to an exemplary embodiment of the invention. As shown in fig. 3, the bus bar is connected with a stage 57298, a stage 57300, a stage 57353, and a stage 57305.
Since the mating gear of the station is unknown, it is necessary to determine the current mating gear of the target station.
When the current gear is determined, the reference station change closest to the target station change on the bus is determined. The reference station becomes closest to the target station on the bus.
According to one embodiment of the invention, when the target station becomes station change 57300, and when the current gear is determined, it may be determined that the reference station becomes station change 57353.
A first fitting function is then determined from the active power data set and the distribution voltage data set of the target station. The active power data set comprises a plurality of active powers, and the distribution voltage data set comprises a plurality of distribution voltage data corresponding to each active power. The active power data set and the distribution voltage data set may be obtained from historical operating data of the target station. The invention does not limit the specific acquisition modes of the active power data set and the distribution voltage data set.
The first fitting function is a function of the distribution voltage of the target station with respect to the active power, wherein the distribution voltage is a dependent variable and the active power is an independent variable.
And then, carrying out normalization operation on the first active power of the target station transformer and the second active power of the reference station transformer to obtain normalized third active power of the target station transformer and fourth active power of the reference station transformer. According to one embodiment of the invention, the first active power and the second active power are current active powers of the target station variant and the reference station variant.
And then, obtaining a first distribution voltage under the target station transformation normalized active power according to the third active power and the first fitting function. Specifically, the third active power is substituted into the first fitting function to obtain the first power distribution voltage.
And then, acquiring a second distribution voltage of the reference station transformer, and determining the current distribution gear of the target station transformer according to the first distribution voltage, the second distribution voltage and the current distribution gear of the reference station transformer.
Specifically, the normalized voltage ratio k may be calculated according to the first power distribution voltage and the second power distribution voltage, and the gear difference may be calculated according to the following formula:
gear difference= [ |k-1|/0.025]
And determining the current gear of the target station according to the gear difference and the current gear of the reference station.
When calculating the normalized voltage ratio k according to the first distribution voltage and the second distribution voltage, dividing the second distribution voltage by the first distribution voltage to obtain the ratio k.
If k-1 is smaller than 0, the current gear of the target station is smaller than the current gear of the reference station;
if k-1 is larger than 0, the current gear of the target station is larger than the current gear of the reference station;
if k-1 is equal to 0, the current gear of the target station is equal to the current gear of the reference station.
When the current distribution gear of the target station is determined according to the gear difference and the current distribution gear of the reference station, the gear difference is correspondingly increased and decreased by using the size relation between the current distribution gear of the target station and the current distribution gear of the reference station, so as to obtain the current distribution gear of the target station.
Table 1 shows a table of a first distribution voltage, a second distribution voltage, and a ratio k according to an exemplary embodiment of the present invention.
As shown in table 1, when the current gear of the reference station is 4 th gear, the gear difference may be determined to be 1 according to the k value, and the current gear of the target station 57300 is 3 rd gear.
Subsequently, step 120 is performed to determine a second fitting function of the bus voltage and the distribution voltage of the target station according to the bus voltage data set and the distribution voltage data set. The bus voltage data set includes a plurality of bus voltages, and the distribution voltage data set includes a plurality of distribution voltage data corresponding to each bus voltage. The invention does not limit the data quantity specifically included in the busbar voltage data set and the distribution voltage data set.
According to one embodiment of the invention, the target station may be embodied as one or more station, and the invention is not limited to specific data of the target station.
According to one embodiment of the invention, the target station comprises a first station, a second station, a third station, etc. The bus voltage dataset may include bus voltages at a plurality of times, which may be specifically denoted as U, at t 0 The bus voltage at the moment can be recorded as U t0 At t 1 The bus voltage at the moment can be recorded as U t1 At t 2 The bus voltage at the moment can be recorded as U t2 … …; from the busbar voltage dataset a busbar voltage sequence is obtained: { U t0 ,U t1 ,U t2 ,…}；
Correspondingly, the distribution voltage of the first station can be denoted as U1, the distribution voltage of the second station can be denoted as U2, and the distribution voltage sequence of each station can be obtained according to the distribution voltage data set of each station: { U1 t0 ,U1 t1 ,U1 t2 ,…}、{U2 t0 ,U2 t1 ,U 2t2 …, etc.
Performing function fitting according to the distribution voltage sequence and the bus voltage sequence of each station serving as the target station, so as to obtain a second fitting function of the distribution voltage and the bus voltage of the target station:
Un＝f(U)
wherein Un is the distribution voltage of the nth station, U is the bus voltage, and f (U) is the second fitting function.
Subsequently, step 130 is executed to determine a gear optimization value according to the distribution transformer voltage, the target voltage and the current distribution transformer gear of the target station transformer; specifically, the distribution voltage of the target station transformer can be realized as the current distribution voltage or the historical distribution voltage of the target station transformer, the target voltage is the distribution voltage to be achieved, and the target distribution gear of the target station transformer can be determined according to the distribution voltage and the target voltage. And determining a gear optimization value according to the target gear and the current gear. And subtracting the current gear matching and shifting gear from the target gear matching and shifting gear to obtain a gear optimization value.
Then, step 140 is executed to determine a corrected distribution voltage data set according to the gear optimization value, correct the second fitting function according to the corrected distribution voltage data set to determine a third fitting function, determine a voltage change ratio of the target station according to the gear optimization value, and determine the corrected distribution voltage data set according to the voltage change ratio and the distribution voltage data set. When the voltage change proportion is determined according to the gear optimization value, the voltage change proportion can be determined according to the voltage change amplitude caused by the gear optimization value, and then each item of distribution voltage data in the distribution voltage data set is corrected according to the voltage change proportion to obtain a corrected distribution voltage data set. And then, adjusting parameters in the second fitting function according to the corrected distribution voltage data set to obtain a third fitting function of the corrected voltage data with respect to the bus voltage:
Un'＝f'(U)
wherein Un 'is the corrected distribution voltage data and f' (U) is the third fitting function.
In the target station according to one embodiment of the invention, the first station may be embodied as station 57300; the second station may be embodied as station 57303; the third station may be embodied as station 57298. And after determining a gear optimization value for the target station transformer, correcting the distribution voltage to obtain a corrected distribution voltage, and according to the corrected distribution voltage.
Fig. 4 a-4 c show images of corrected distribution voltage and bus voltage, respectively, of a first to third transformer according to an exemplary embodiment of the present invention.
As shown in fig. 4a, the third fitting function of the mesa 57300 is:
y＝-2,561.54x 3 +80,005.77x 2 -832,784.04x+2,889,319.42
as shown in fig. 4b, the third fitting function of the mesa 57305 is:
y＝-4,867.06x 3 +151,413.89x 2 -1,569,978.79x+5,426,047.80
as shown in fig. 4c, the third fitting function of the mesa 57298 is:
y＝-676,186.43x 5 +34,997,850.29x 4 -724,560,302.24x 3 +7,500,254,363.72x 2 -
38,819,126,797.86x+80,366,278,240.49
and according to the third fitting function, the corrected distribution transformer voltage of the target station under different bus voltages can be determined.
Subsequently, step 150 is performed to determine a fourth fitting function of the corrected distribution voltage and the feeder active from the corrected distribution voltage dataset and the feeder active dataset. The feeder active power is the power of the feeder.
According to one embodiment of the invention, the feeder active data set, the bus voltage data set and the distribution voltage data set can be all obtained from operation data, and the invention is not limited to the way of obtaining each data set.
The feeder active data set includes a plurality of feeder active data corresponding to each of the modified distribution voltages. The feeder active can be denoted as P, and the feeder active sequence { P } can be determined from the feeder active data set t0 ，P t1 ,P t2 …. The corrected distribution voltage sequence can be determined according to the corrected distribution voltage data set, and a fourth fitting function can be obtained by performing function fitting according to the corrected distribution voltage sequence and the feeder active sequence:
Un'＝g(P)
wherein g (P) is a fourth fitting function.
Fig. 5 a-5 c show graphs of corrected distribution voltage and feeder active, respectively, for a first through third transformer according to an exemplary embodiment of the present invention.
As shown in fig. 5a, the fourth fitting function of the mesa 57300 is:
y＝-25.409x 5 +283.56x 4 -1228.5x 3 +2582.8x 2 -2649.2x+1477.3
as shown in fig. 5b, the fourth fitting function of the mesa 57305 is:
y＝-33.029x 5 +370.05x 4 -1611.2x 3 +3408.2x 2 -3517.6x+1834.7
as shown in fig. 5c, the fourth fitting function of the mesa 57298 is:
y＝-28.376x 5 +314.32x 4 -1350.6x 3 +2814.6x 2 -2860x+1553.1
and according to the third fitting function, determining the influence of the feeder line active power on the distribution transformer voltage.
Subsequently, step 160 is executed to determine a bus voltage optimization value according to the third fitting function and the fourth fitting function, so as to adjust the distribution transformer voltage of the target transformer according to the bus voltage optimization value; specific: determining the distribution transformer voltage under the typical load according to the fourth fitting function to obtain a distribution transformer voltage interval; and determining a bus voltage optimization value according to the distribution voltage interval and the third fitting function.
According to one embodiment of the invention, the typical load of the feeder active power comprises a maximum load, a minimum load and an average load, and the distribution transformer voltage of the distribution transformer voltage under each load condition can be determined according to the typical load, so as to obtain a distribution transformer voltage interval.
Table 2 shows the correspondence between typical loads and distribution voltages according to an exemplary embodiment of the present invention:
when determining the bus voltage optimization value according to the distribution voltage interval and the third fitting function, adjusting the test bus voltage according to a preset step length, and obtaining the test distribution voltage according to the test bus voltage and the third fitting function; and taking the test bus voltage with the highest qualification rate of the test distribution transformer voltage as a target bus voltage, and determining a bus voltage optimization value according to the target bus voltage and the bus voltage.
According to one embodiment of the invention, if the distribution voltage is higher than the qualified voltage, the test bus voltage is adjusted downwards, i.e. the bus voltage is reduced; if the distribution voltage is smaller than the qualified voltage, the test bus voltage is adjusted upwards, namely the test bus voltage is improved. The preset step length can be specifically set to be 0.01kV, and the specific size of the preset compensation is not limited.
When the voltage of the test bus is regulated, the voltage of the test distribution transformer is calculated according to a third fitting function, the voltage qualification rate of the test distribution transformer is counted, and the voltage of the test bus with the highest qualification rate of the test distribution transformer is used as the target bus voltage. And subtracting the target bus voltage from the bus voltage to determine a bus voltage optimized value, thereby reversely updating the bus voltage control range.
Table 3 shows the correspondence between the target bus voltage and the distribution transformer voltage according to an exemplary embodiment of the present invention:
in the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules or units or groups of devices in the examples disclosed herein may be arranged in a device as described in this embodiment, or alternatively may be located in one or more devices different from the devices in this example. The modules in the foregoing examples may be combined into one module or may be further divided into a plurality of sub-modules.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or groups of embodiments may be combined into one module or unit or group, and furthermore they may be divided into a plurality of sub-modules or sub-units or groups. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments.
Furthermore, some of the embodiments are described herein as methods or combinations of method elements that may be implemented by a processor of a computer system or by other means of performing the functions. Thus, a processor with the necessary instructions for implementing the described method or method element forms a means for implementing the method or method element. Furthermore, the elements of the apparatus embodiments described herein are examples of the following apparatus: the apparatus is for carrying out the functions performed by the elements for carrying out the objects of the invention.
The various techniques described herein may be implemented in connection with hardware or software or, alternatively, with a combination of both. Thus, the methods and apparatus of the present invention, or certain aspects or portions of the methods and apparatus of the present invention, may take the form of program code (i.e., instructions) embodied in tangible media, such as floppy diskettes, hard drives, or any other machine-readable storage medium, wherein, when the program is loaded into and executed by a machine, such as a computer, the machine becomes an apparatus for practicing the invention.
In the case of program code execution on programmable computers, the computing device will generally include a processor, a storage medium readable by the processor (including volatile and non-volatile memory and/or storage elements), at least one input device, and at least one output device. Wherein the memory is configured to store program code; the processor is configured to execute the inventive method of determining a shutdown state of the device in accordance with instructions in said program code stored in the memory.
By way of example, and not limitation, computer readable media comprise computer storage media and communication media. Computer-readable media include computer storage media and communication media. Computer storage media stores information such as computer readable instructions, data structures, program modules, or other data. Communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. Combinations of any of the above are also included within the scope of computer readable media.
As used herein, unless otherwise specified the use of the ordinal terms "first," "second," "third," etc., to describe a general object merely denote different instances of like objects, and are not intended to imply that the objects so described must have a given order, either temporally, spatially, in ranking, or in any other manner.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of the above description, will appreciate that other embodiments are contemplated within the scope of the invention as described herein. Furthermore, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The disclosure of the present invention is intended to be illustrative, but not limiting, of the scope of the invention, which is defined by the appended claims.
Claims (7)
1. A method of optimizing a distribution voltage, adapted to be executed in a computing device, a plurality of transformers connected to a bus, the method comprising the steps of:
determining the current gear of the target station;
determining a second fitting function of the bus voltage and the distribution transformer voltage of the target station transformer according to the bus voltage data set and the distribution transformer voltage data set;
determining a gear optimization value according to the distribution transformer voltage of the target station transformer, the target voltage and the current distribution transformer gear;
determining a corrected distribution voltage data set according to the gear optimization value, and correcting the second fitting function according to the corrected distribution voltage data set to determine a third fitting function;
determining a fourth fitting function for correcting the distribution transformer voltage and the distribution transformer active power according to the corrected distribution transformer voltage data set and the feeder active data set;
determining a bus voltage optimization value according to the third fitting function and the fourth fitting function so as to adjust the distribution transformer voltage of the target transformer according to the bus voltage optimization value;
the determining the current gear of the target station comprises the following steps:
determining a reference station change closest to the target station on the bus;
determining a first fitting function according to the active power data set and the distribution voltage data set of the target station transformer;
obtaining normalized third active power of the target station transformer for the first active power of the target station transformer;
obtaining a first distribution voltage under the target station transformation normalized active power according to the third active power and the first fitting function;
acquiring a second distribution voltage of the reference station transformer, and determining a current distribution gear of the target station transformer according to the first distribution voltage, the second distribution voltage and the current distribution gear of the reference station transformer;
the determining a second fitting function of the bus voltage and the distribution transformer voltage of the target transformer according to the bus voltage data set and the distribution transformer voltage data set comprises the following steps:
determining a bus voltage sequence according to bus voltage data at different moments in the bus voltage data set;
determining a distribution voltage sequence according to the distribution voltage data at different moments in the distribution voltage data set;
performing function fitting according to the distribution voltage sequence and the busbar voltage sequence to obtain a second fitting function;
the determining the bus voltage optimized value according to the third fitting function and the fourth fitting function comprises:
determining the distribution transformer voltage under the typical load according to the fourth fitting function to obtain a distribution transformer voltage interval;
and determining a bus voltage optimization value according to the distribution voltage interval and the third fitting function.
2. The method of claim 1, wherein determining the current gear of the target station based on the first power distribution voltage, the second power distribution voltage, and the current gear of the reference station comprises:
calculating a normalized voltage ratio k according to the first distribution voltage and the second distribution voltage, and calculating a gear difference according to the following formula:the method comprises the steps of carrying out a first treatment on the surface of the And determining the current gear of the target station according to the gear difference and the current gear of the reference station.
3. The method of claim 1, wherein the determining a gear optimization value from the target station's power distribution voltage, the target voltage, and the current power distribution gear comprises:
determining a target distribution gear according to the distribution voltage and the target voltage;
and determining a gear optimization value according to the target gear and the current gear.
4. The method of claim 1, wherein said determining a corrected distribution voltage dataset from gear optimization values comprises:
determining the voltage change proportion of the target station according to the gear optimization value;
and determining a corrected distribution voltage data set according to the voltage change proportion and the distribution voltage data set.
5. The method of claim 1, wherein the determining the bus voltage optimization value from the distribution voltage interval and the third fitting function comprises:
adjusting the voltage of the test bus according to a preset step length, and obtaining the voltage of the test distribution transformer according to the voltage of the test bus and a third fitting function;
and taking the test bus voltage with the highest qualification rate of the test distribution transformer voltage as a target bus voltage, and determining a bus voltage optimization value according to the target bus voltage and the bus voltage.
6. A computing device, comprising:
one or more processors;
a memory; and
one or more devices comprising instructions for performing any of the methods of claims 1-5.
7. A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform any of the methods of claims 1-5.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104518513A (en) * | 2013-09-30 | 2015-04-15 | 北京电研华源电力技术有限公司 | Power distribution network voltage regulation and reactive compensation whole-network coordination control method and device |
| CN106130027A (en) * | 2016-06-30 | 2016-11-16 | 广州市奔流电力科技有限公司 | The low-voltage distribution transformer platform district two-dimension integrated administering method of voltage |
| CN113065731A (en) * | 2020-09-18 | 2021-07-02 | 国网浙江省电力有限公司金华供电公司 | Voltage quality problem cause analysis method and system based on ridge regression algorithm |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104518513A (en) * | 2013-09-30 | 2015-04-15 | 北京电研华源电力技术有限公司 | Power distribution network voltage regulation and reactive compensation whole-network coordination control method and device |
| CN106130027A (en) * | 2016-06-30 | 2016-11-16 | 广州市奔流电力科技有限公司 | The low-voltage distribution transformer platform district two-dimension integrated administering method of voltage |
| CN113065731A (en) * | 2020-09-18 | 2021-07-02 | 国网浙江省电力有限公司金华供电公司 | Voltage quality problem cause analysis method and system based on ridge regression algorithm |
Non-Patent Citations (1)
| Title |
|---|
| 配网台区低电压治理及电能质量优化技术分析;侯保清等;《中国设备工程》;20220630;227-228 * |
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