CN111625190B - Method and device for realizing electric quantity storage based on power distribution characteristics - Google Patents

Method and device for realizing electric quantity storage based on power distribution characteristics Download PDF

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CN111625190B
CN111625190B CN202010435746.0A CN202010435746A CN111625190B CN 111625190 B CN111625190 B CN 111625190B CN 202010435746 A CN202010435746 A CN 202010435746A CN 111625190 B CN111625190 B CN 111625190B
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CN111625190A (en
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刘振林
李经儒
胡晶晶
陈耀球
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Dongguan Power Supply Bureau of Guangdong Power Grid Co Ltd
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    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
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Abstract

The invention discloses a method and a device for realizing electric quantity storage based on power distribution characteristics. The method comprises the steps of collecting sampling voltage at the current moment of the power distribution network; determining a voltage storage value at the current moment according to the sampling voltage at the current moment, and determining a time interval at the current moment; and if the sampling voltage at the current moment and the sampling voltage at the previous moment are located in different preset voltage intervals, setting a new time interval according to the current moment. The invention fully utilizes the characteristic of relatively stable voltage of the power distribution network, and achieves the purpose of efficiently storing electric data by dividing the voltage into sections.

Description

Method and device for realizing electric quantity storage based on power distribution characteristics
Technical Field
The embodiment of the invention relates to an electric digital processing technology, in particular to a method and a device for realizing electric quantity storage based on power distribution characteristics.
Background
With the construction of digital power grids, the collection and analysis of power distribution network state information (such as voltage, current and other electrical quantities of the power distribution network) become more and more important, however, the electrical quantity information of the power distribution network has the characteristics of large data quantity and the like, and the information storage challenges are larger.
The existing electrical quantity storage method mainly comprises three types, namely direct storage, namely, direct placement of electrical quantities such as three-phase current, three-phase voltage and power into a storage space, and the storage mode has the problem of larger required storage space; secondly, sampling and storing, namely extracting part of data from a large amount of electrical quantity data such as current, voltage and power to represent all states, wherein how to sample the data can comprehensively reflect the state of the power distribution network is a difficult problem, and the current sampling method taking the equal time interval as a reference can not fully reflect the state change when the state change of the power distribution network is faster; thirdly, the compression method is adopted and then stored, but the method has the problems of complex algorithm and more time consumption.
Disclosure of Invention
The invention provides a method and a device for realizing electric quantity storage based on power distribution characteristics, so as to realize efficient storage of electric quantity.
In a first aspect, an embodiment of the present invention provides a method for implementing electrical energy storage based on power distribution characteristics, the method including: collecting sampling voltage of the power distribution network at the current moment; determining a voltage storage value of the current moment according to the sampling voltage of the current moment, and determining a time interval of the current moment; and if the sampling voltage at the current moment is positioned in a preset voltage interval, taking a gear value of the preset voltage interval as a voltage storage value of the sampling voltage at the current moment, if the sampling voltage at the current moment and the sampling voltage at the previous moment are positioned in the same preset voltage interval, classifying the current moment into a time interval at the previous moment, and if the sampling voltage at the current moment and the sampling voltage at the previous moment are positioned in different preset voltage intervals, setting a new time interval according to the current moment.
Optionally, if the sampled voltage at the current time is not located in any one of the preset voltage intervals, the sampled voltage at the current time is stored as a voltage storage value; and if the sampling voltage at the previous moment is not in any preset voltage interval, the current moment is classified into the time interval at the previous moment, and if the sampling voltage at the previous moment is in the preset voltage interval, a new time interval is set according to the current moment.
Optionally, if the sampled voltage at the current time is located in a preset voltage interval, the gear value of the preset voltage interval is stored as the voltage storage value of the sampled voltage at the current time, and if the sampled voltage at the previous time is not located in any preset voltage interval, a new time interval is set according to the current time.
Optionally, the method further comprises: and collecting the sampling current at the current moment of the power distribution network, and storing the sampling current as a current storage value.
Optionally, the sampled voltage is a digital quantity.
Optionally, the preset voltage interval is ten in total: 190V-194V, 194V-198V, 198V-202V, 202V-206V, 206V-210V, 214V-218V, 222V-226V, 226V-230V.
Optionally, the gear value of the preset voltage interval is a middle value of the preset voltage interval.
Optionally, determining the voltage storage value at the current time according to the sampling voltage at the current time further includes: and deleting the sampling voltage at the current moment.
In a second aspect, an embodiment of the present invention further provides an implementation apparatus for storing electric energy based on a distribution characteristic, where the apparatus includes: the acquisition module is used for acquiring the sampling voltage of the power distribution network at the current moment; the processing module is used for determining a voltage storage value of the current moment according to the sampling voltage of the current moment and determining a time interval of the current moment; and if the sampling voltage at the current moment is positioned in a preset voltage interval, taking a gear value of the preset voltage interval as a voltage storage value of the sampling voltage at the current moment, if the sampling voltage at the current moment and the sampling voltage at the previous moment are positioned in the same preset voltage interval, classifying the current moment into a time interval at the previous moment, and if the sampling voltage at the current moment and the sampling voltage at the previous moment are positioned in different preset voltage intervals, setting a new time interval according to the current moment.
Optionally, the processing module is further configured to: if the sampling voltage at the current moment is not located in any preset voltage interval, the sampling voltage at the current moment is used as a voltage storage value to be stored; and if the sampling voltage at the previous moment is not in any preset voltage interval, the current moment is classified into the time interval at the previous moment, and if the sampling voltage at the previous moment is in the preset voltage interval, a new time interval is set according to the current moment.
According to the technical scheme of the embodiment, the adopted implementation method for storing the electric quantity based on the power distribution characteristic comprises the following steps: collecting sampling voltage of the power distribution network at the current moment; determining a voltage storage value at the current moment according to the sampling voltage at the current moment, and determining a time interval at the current moment; and if the sampling voltage at the current moment and the sampling voltage at the previous moment are located in different preset voltage intervals, setting a new time interval according to the current moment. The method can ensure that the stored electric quantity can fully reflect the state change of the power distribution network, save the storage space, has simple algorithm and easy realization, and has very remarkable effect of reducing the voltage data redundancy and the construction cost of a monitoring system.
Drawings
FIG. 1 is a flow chart of an implementation method of electric energy storage based on power distribution characteristics according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an implementation process of an implementation method for electric energy storage based on power distribution characteristics according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an implementation device for electric energy storage based on power distribution characteristics according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flowchart of a method for implementing electric energy storage based on power distribution characteristics according to an embodiment of the present invention, and referring to fig. 1, the method includes:
step S101, sampling voltage at the current moment of a power distribution network is collected;
in particular, the electrical device may be used to collect a sampled voltage of the power distribution network at the current moment, in other words, the electrical device is used to collect the sampled voltage of the power distribution network in real time.
Step S102, determining a voltage storage value at the current moment according to the sampling voltage at the current moment, and determining a time interval at the current moment; and if the sampling voltage at the current moment and the sampling voltage at the previous moment are located in different preset voltage intervals, setting a new time interval according to the current moment.
Specifically, a plurality of preset voltage intervals can be preset at first, and the voltage value included in each preset voltage interval is located in a safer voltage interval of the power distribution network, namely, the voltage value in each preset voltage interval is not too high or too low; the span of each preset voltage interval may be the same, for example, the difference between the voltage values represented by the end points of each preset voltage interval (the preset voltage interval may include the end points or use the end points as the limit) may be set to be 4V, if the sampled voltage is located in a certain preset voltage interval, it indicates that the voltage of the power distribution network is in a safer state at this time, and the gear value of the preset voltage interval may be used as the voltage storage value of the sampled voltage; meanwhile, the current time is classified, whether the current time needs to be divided into a previous time interval is judged, wherein each time interval is a time interval from the starting time to the ending time, if the sampling voltage at the current time and the sampling voltage at the previous time are both located in the same preset voltage interval, the fact that the fluctuation of the voltage value at the current time of the power distribution network is smaller than that at the previous time is indicated, the current time can be classified into the time interval at the previous time, and when the electric quantity is stored, only one voltage storage value can be stored because the voltage storage values of the same time interval are identical, and compared with the case that a plurality of voltage storage values need to be stored in one time interval, the storage space can be greatly saved, and the storage efficiency is improved. It should be noted that, in this embodiment, it is determined that the sampling voltage at the current time and the sampling voltage at the previous time are located in the same preset voltage interval, and may be determined by determining whether the voltage storage value at the current time and the voltage storage value at the previous time are the same, if so, it indicates that the sampling voltage is located in the same preset voltage interval, and if not, it indicates that the sampling voltage is located in different preset voltage intervals. The time interval between the current time and the previous time can be determined according to the accuracy of the state acquisition of the power distribution network, for example, the time interval can be 1 second. If the sampled voltage at the current moment and the sampled voltage at the previous moment are located in different preset voltage intervals, the fact that the voltage at the current moment and the voltage at the previous moment of the power distribution network have large fluctuation (namely a gear crossing occurs), the voltage storage value at the current moment is different from the voltage storage value at the previous moment, if the current moment still belongs to the time interval at the previous moment, when the stored electric quantity is analyzed, specific time information at the current moment cannot be obtained, a new time interval can be set according to the current moment, for example, the current moment is taken as the starting moment to form a new time interval, the voltage storage values correspondingly stored in the new time interval are identical, but the voltage storage values correspondingly stored in the previous time interval are different, so that the stored electric quantity can be guaranteed to fully reflect the state change of the power distribution network, the storage space can be saved, and meanwhile, the algorithm is simpler and easy to realize.
According to the technical scheme of the embodiment, the adopted implementation method for storing the electric quantity based on the power distribution characteristic comprises the following steps: collecting sampling voltage of the power distribution network at the current moment; determining a voltage storage value at the current moment according to the sampling voltage at the current moment, and determining a time interval at the current moment; and if the sampling voltage at the current moment and the sampling voltage at the previous moment are located in different preset voltage intervals, setting a new time interval according to the current moment. The method can ensure that the stored electric quantity can fully reflect the state change of the power distribution network, save the storage space, has simple algorithm and easy realization, and has very remarkable effect of reducing the voltage data redundancy and the construction cost of a monitoring system.
Optionally, if the sampling voltage at the current moment is not located in any preset voltage interval, storing the sampling voltage at the current moment as a voltage storage value; and if the sampling voltage at the previous moment is not in any preset voltage interval, the current moment is classified into the time interval at the previous moment, and if the sampling voltage at the previous moment is in the preset voltage interval, a new time interval is set according to the current moment.
Specifically, if the sampling voltage at the current moment is not located in any preset voltage interval, the voltage state of the current power distribution network is possibly abnormal, the voltage information acquisition of the power distribution network needs to be more accurate, and the sampling voltage can be directly stored as a voltage storage value so as to accurately analyze the voltage state of the power distribution network later; if the sampling voltage at the previous time is located in the preset voltage interval (in this embodiment, the sampling voltage at the previous time is located in any preset voltage interval), that is, an over-shift phenomenon occurs, a new time interval can be set according to the current time, for example, the current time is taken as the starting time of the new time interval, and the previous time is taken as the ending time of the previous time interval, so that the voltage storage values corresponding to the previous time interval are all the same, that is, one voltage storage value is stored; if the sampling voltage at the previous moment is not located in any preset voltage interval, the current moment is integrated into the time interval of the previous moment, namely, the corresponding voltage storage values are all sampling voltages in the time interval, so that the abnormal voltage information of the power distribution network can be accurately reflected.
Optionally, if the sampling voltage at the current time is located in a preset voltage interval, the gear value of the preset voltage interval is stored as the voltage storage value of the sampling voltage at the current time, and if the sampling voltage at the previous time is not located in any preset voltage interval, a new time interval is set according to the current time.
Specifically, if the sampling voltage at the current time is located in a preset voltage interval, but the sampling voltage at the previous time is not located in any preset voltage interval, a new time interval can be set according to the current time, for example, the current time is taken as the starting time of the new time interval, and the previous time is taken as the ending time of the new time interval, so that the voltage storage values corresponding to the previous time interval are all sampling voltages, abnormal voltage information of the power distribution network can be accurately reflected, and abnormal conditions can be timely reflected to a power distribution office; the voltage storage values of the new time intervals are the same, namely, one voltage storage value is stored, and the storage space is smaller.
Optionally, the implementation method of the electric quantity storage based on the distribution characteristics further includes: and collecting the sampling current at the current moment of the power distribution network, and storing the sampling current as a current storage value.
Specifically, the voltage fluctuation of the power distribution network is usually smaller, but the current fluctuation is larger, the sampling current of the power distribution network can be collected by using electrical equipment, but the sampling current is not processed and is directly stored as a current storage value, so that the current state of the power distribution network can be accurately reflected, and it is required to be noted that the sampling current has a corresponding relation with a time interval, namely, the corresponding sampling time in each time interval corresponds to one sampling current.
Optionally, the sampled voltage is a digital quantity.
Specifically, the electrical equipment collects the analog quantity of the voltage of the power distribution network, the analog quantity can be converted into the digital quantity by utilizing the analog-to-digital converter, the digital quantity of the voltage is used as the sampling voltage, and when whether the sampling voltage is located in a preset voltage interval or not is judged later, the sampling voltage is more convenient, if the sampling voltage is located in which preset voltage interval can be judged only by a preset number of comparators, or the sampling voltage is judged not to be located in any preset voltage interval. It should be noted that the sampling current can also be a digital value, which is more convenient for storage.
Optionally, the preset voltage interval is ten in total: 190V-194V, 194V-198V, 198V-202V, 202V-206V, 206V-210V, 214V-218V, 222V-226V, 226V-230V.
Specifically, in this embodiment, the point with the smaller voltage value in the two end points of each preset voltage interval may be included in the preset voltage interval, and the point with the larger voltage value in the two end points may be included in the next preset voltage interval, for example, the first preset voltage interval may be greater than or equal to 190V and less than 194V. It should be noted that, in other embodiments, it is also possible to set that a larger point of the two ends of the preset voltage interval is included in the preset voltage interval, and the other end is not included in the preset voltage interval. When the sampling voltage of the power distribution network is greater than 230V or less than 190V, the voltage state of the power distribution network is abnormal, workers can be timely warned to reflect the power distribution network, the power distribution network can be timely maintained, and damage to the power distribution network is avoided.
Optionally, the gear value of the preset voltage interval is a middle value of the preset voltage interval.
Specifically, the middle value of the preset voltage interval may be an average value of voltage values represented by two endpoints of the preset voltage interval, where if the preset voltage interval does not include a certain endpoint, the limit value when the preset voltage interval approaches the endpoint may be used as the voltage value represented by the endpoint; if the preset voltage interval is 190V-194V, the gear value can be 192V, and the intermediate value is used as the gear value of the preset voltage interval, so that the voltage state of the power distribution network can be fully reflected.
Optionally, determining the voltage storage value at the current time according to the sampling voltage at the current time further includes: and deleting the sampling voltage at the current moment.
Specifically, after the electrical equipment collects the sampling voltage of the power distribution network, the sampling voltage can be temporarily stored in the memory, and after the voltage storage value is determined, the temporarily stored sampling voltage can be deleted, so that the storage space of the memory is released, and the storage efficiency is further improved.
In the following description of the present solution in connection with the specific example, fig. 2 is a schematic diagram of a specific implementation process of an implementation method of electric quantity storage based on power distribution characteristics provided by the embodiment of the present invention, referring to fig. 2, where (a) in fig. 2 represents a voltage value collected by an electric device, (b) represents a voltage value after partition processing (i.e., a voltage storage value), (c) represents a storage voltage value and a storage current value stored in a memory, and from time t1, a sampling voltage is always greater than or equal to 214V, but less than 218V, that is, in a preset voltage interval of 214V-218V, and a gear value of the preset voltage interval is 216V, and is stored with 216V as the voltage storage value; at time t2, the sampling voltage is 218V, that is, a gear crossing phenomenon occurs, a new time interval is set by taking time t2 as a starting time, voltage storage values in the new time interval are gear values of preset voltage intervals of 218V-222V, that is, 220V, and similarly, the new time intervals can be set at time t3, time t4, time t5, time t6, time t7 and time t8 respectively, and at time t5, since the sampling voltage is not located in any one preset voltage interval, that is, an over gear phenomenon occurs, the sampling voltage is taken as a voltage storage value, that is, the sampling voltage of the power distribution network is recorded in real time in the time interval set at time t5, and it is required to be noted that the sampling current of the power distribution network is recorded in real time in the whole time interval. And storing the recorded voltage storage value and the recorded current storage value according to the time sequence respectively, so that the subsequent analysis is convenient.
Example two
Fig. 3 is a schematic structural diagram of an implementation device for storing electric energy based on power distribution characteristics according to an embodiment of the present invention, and referring to fig. 1, the device includes: the acquisition module 201 is used for acquiring the sampling voltage at the current moment; a processing module 202, configured to determine a voltage storage value at a current time according to the sampled voltage at the current time, and determine a time interval at the current time; and if the sampling voltage at the current moment and the sampling voltage at the previous moment are located in different preset voltage intervals, setting a new time interval according to the current moment.
The implementation device for electric quantity storage based on the power distribution characteristics provided by the embodiment of the invention can be used for executing the implementation method for electric quantity storage based on the power distribution characteristics, so that the implementation device has the same beneficial effects as the implementation method for electric quantity storage based on the power distribution characteristics, and is not repeated herein.
Optionally, the processing module 202 is further configured to store the sampled voltage at the current time as the voltage storage value if the sampled voltage at the current time is not within any one of the preset voltage intervals; and if the sampling voltage at the previous moment is not in any preset voltage interval, the current moment is classified into the time interval at the previous moment, and if the sampling voltage at the previous moment is in the preset voltage interval, a new time interval is set according to the current moment.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.

Claims (8)

1. A method of implementing electrical energy storage based on power distribution characteristics, the method comprising:
collecting sampling voltage of the power distribution network at the current moment;
determining a voltage storage value of the current moment according to the sampling voltage of the current moment, and determining a time interval of the current moment; if the sampling voltage at the current moment is located in any preset voltage interval, taking a gear value of the preset voltage interval as a voltage storage value of the sampling voltage at the current moment to store, if the sampling voltage at the current moment and the sampling voltage at the previous moment are located in the same preset voltage interval, classifying the current moment into a time interval at the previous moment, and if the sampling voltage at the current moment and the sampling voltage at the previous moment are located in different preset voltage intervals, setting a new time interval according to the current moment;
if the sampling voltage at the current moment is not located in any preset voltage interval, the sampling voltage at the current moment is used as a voltage storage value to be stored; if the sampling voltage at the previous moment is not in any preset voltage interval, the current moment is classified into a time interval at the previous moment, and if the sampling voltage at the previous moment is in the preset voltage interval, a new time interval is set according to the current moment;
the gear value of the preset voltage interval is the middle value of the preset voltage interval.
2. The method according to claim 1, characterized in that if the sampled voltage at the present moment is located in a preset voltage interval, a gear value of the preset voltage interval is stored as a voltage storage value of the sampled voltage at the present moment, and if the sampled voltage at the previous moment is not located in any one of the preset voltage intervals, a new time interval is set according to the present moment.
3. The method according to claim 1, wherein the method further comprises:
and collecting the sampling current at the current moment of the power distribution network, and storing the sampling current as a current storage value.
4. The method of claim 1, wherein the sampled voltage is a digital quantity.
5. The method of claim 1, wherein the preset voltage interval is ten in total: 190V-194V, 194V-198V, 198V-202V, 202V-206V, 206V-210V, 214V-218V, 222V-226V, 226V-230V.
6. The method of claim 1, wherein determining the stored value of the current time voltage from the sampled voltage at the current time further comprises:
and deleting the sampling voltage at the current moment.
7. An apparatus for effecting electrical energy storage based on distribution characteristics, said apparatus comprising:
the acquisition module is used for acquiring the sampling voltage of the power distribution network at the current moment;
the processing module is used for determining a voltage storage value of the current moment according to the sampling voltage of the current moment and determining a time interval of the current moment; if the sampling voltage at the current moment is located in any preset voltage interval, taking a gear value of the preset voltage interval as a voltage storage value of the sampling voltage at the current moment to store, if the sampling voltage at the current moment and the sampling voltage at the previous moment are located in the same preset voltage interval, classifying the current moment into a time interval at the previous moment, and if the sampling voltage at the current moment and the sampling voltage at the previous moment are located in different preset voltage intervals, setting a new time interval according to the current moment;
the processing module is further used for storing the sampled voltage at the current moment as a voltage storage value if the sampled voltage at the current moment is not located in any one of the preset voltage intervals; if the sampling voltage at the previous moment is not in any preset voltage interval, the current moment is classified into a time interval at the previous moment, and if the sampling voltage at the previous moment is in the preset voltage interval, a new time interval is set according to the current moment;
the gear value of the preset voltage interval is the middle value of the preset voltage interval.
8. The apparatus of claim 7, wherein the processing module is further configured to: if the sampling voltage at the current moment is not located in any preset voltage interval, the sampling voltage at the current moment is used as a voltage storage value to be stored; and if the sampling voltage at the previous moment is not in any preset voltage interval, the current moment is classified into the time interval at the previous moment, and if the sampling voltage at the previous moment is in the preset voltage interval, a new time interval is set according to the current moment.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1845385A1 (en) * 2006-04-21 2007-10-17 Agilent Technologies, Inc. Time interval analysis of digital data
CN107181010A (en) * 2016-03-11 2017-09-19 宝沃汽车(中国)有限公司 The filter processing method and device and battery management system of electrokinetic cell sample rate current
CN108549962A (en) * 2018-06-04 2018-09-18 中国农业大学 Wind power forecasting method based on history fragment sequence search and sequential rarefaction
CN110441584A (en) * 2019-08-26 2019-11-12 珠海格力电器股份有限公司 Equipment running state monitoring method, device, storage medium and system
CN110739860A (en) * 2019-11-04 2020-01-31 合肥阳光新能源科技有限公司 Transformer gear determination method and device and photovoltaic power generation system
CN111585481A (en) * 2019-02-15 2020-08-25 广东美的白色家电技术创新中心有限公司 Counter potential zero crossing point detection method and device of brushless direct current motor

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10877005B2 (en) * 2016-12-20 2020-12-29 Dionex Corporation Method of measuring an analyte with a reductive detection waveform

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1845385A1 (en) * 2006-04-21 2007-10-17 Agilent Technologies, Inc. Time interval analysis of digital data
CN107181010A (en) * 2016-03-11 2017-09-19 宝沃汽车(中国)有限公司 The filter processing method and device and battery management system of electrokinetic cell sample rate current
CN108549962A (en) * 2018-06-04 2018-09-18 中国农业大学 Wind power forecasting method based on history fragment sequence search and sequential rarefaction
CN111585481A (en) * 2019-02-15 2020-08-25 广东美的白色家电技术创新中心有限公司 Counter potential zero crossing point detection method and device of brushless direct current motor
CN110441584A (en) * 2019-08-26 2019-11-12 珠海格力电器股份有限公司 Equipment running state monitoring method, device, storage medium and system
CN110739860A (en) * 2019-11-04 2020-01-31 合肥阳光新能源科技有限公司 Transformer gear determination method and device and photovoltaic power generation system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于区间算法的配变台区电压质量评估方法研究;谭晨等;《供用电》;20171105(第11期);全文 *
基于多时间尺度状态估计的配电网实时态势预测;李延真等;《电力工程技术》;20200328(第02期);全文 *

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