CN110601363A - Station area branch identification method and system based on sinusoidal current disturbance - Google Patents
Station area branch identification method and system based on sinusoidal current disturbance Download PDFInfo
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Abstract
The invention relates to the technical field of power system detection, in particular to a station zone branch identification method and a station zone branch identification system based on sinusoidal current disturbance, wherein the method comprises a disturbance loading step, a disturbance detection step and a topological structure calculation step, and specifically comprises the following steps: the central node controls a target branch node to send a disturbance current signal at a specified preset time, wherein the disturbance current signal is a low-frequency sinusoidal disturbance current signal of 1-100 kHz; the branch nodes detect the disturbance current signals at preset time and feed back detection results to the central node; and the central node calculates the topological structure of the region to be detected according to the detection result. The station area branch identification method and system based on sinusoidal current disturbance, provided by the invention, can not influence power grid equipment, and can stably, accurately and quickly realize the identification of the station area branch.
Description
Technical Field
The invention relates to the technical field of power system detection, in particular to a station zone branch identification method and system based on sinusoidal current disturbance.
Background
Electric energy always occupies a great position in an energy pattern, and the intellectualization and informatization of a power grid system are crucial to further playing the role of the electric energy and effectively utilizing the electric energy. However, there are many problems to be solved in the process of intellectualization and informatization, wherein the topological structure of the power grid (especially the low-voltage platform area) is always a difficult problem which troubles the rapid development of the power grid. In order to use electricity quickly and conveniently, low-voltage distribution area users can wire the electricity quite randomly without wiring according to the regulations of relevant departments, and even some users have two service lines in different distribution areas, so that the actual electricity consumption of the users and the data of the branch summary table have large access. Secondly, due to the existence of various random connection and random connection, great potential safety hazards are brought to the personal safety of power maintenance personnel to a certain extent. Therefore, in order to realize consumption reduction and loss reduction by the power consumption management department, the whole topological structure of the transformer area needs to be accurately and dynamically known, so that the refined and accurate comprehensive management of the transformer area is realized.
To accurately map the topology of a low voltage cell, the first step is to determine whether a system node belongs to a target cell, and if so, which phase. Secondly, after determining all nodes of a certain target station area and corresponding phase power, further determining topological relations among all system nodes is needed. The traditional station zone branch identification system adopts a power line carrier bidirectional communication mode, and has the advantages that the existing network can be directly utilized without upgrading the system, and the operation is simple and convenient. Meanwhile, the power communication system is very complicated, the noise and the line impedance of the system are different in different periods, and the attenuation of the carrier signal is uneven, so that the long-distance transmission cannot be stably performed. Secondly, because the high-frequency carrier signals are mostly adopted in power line carrier communication, the high-frequency carrier signals are coupled to the high-voltage side through a distribution transformer and then transmitted to adjacent distribution transformers through high-voltage lines, the accuracy problem exists in the identification of the distribution transformer areas of a plurality of adjacent distribution transformers in a common-high-voltage, common-ground and common-cable trench. The other scheme is to adopt a specific large pulse current mode to identify the station zone branches, and certainly, the scheme does not have the problem of line stringing any more and can improve the accuracy problem of station zone identification to a certain extent. However, the greatest disadvantage is that the long-term short-term large current can cause damage to equipment and systems, thereby increasing the burden and cost of the systems invisibly and being irrevocable. In view of the above, how to consider the stability of the system equipment and the accuracy of the station zone branch identification is a difficult problem.
Disclosure of Invention
The invention aims to provide a station zone branch identification method based on sinusoidal current disturbance and a station zone branch identification system based on sinusoidal current disturbance, which can stably, accurately and quickly realize the identification of station zone branches.
In order to solve the technical problem, the present application provides the following technical solutions:
a station zone branch identification method based on sinusoidal current disturbance comprises the following steps: a step of disturbance loading, in which a central node controls a target branch node to send a disturbance current signal at a specified preset time, wherein the disturbance current signal is a low-frequency sinusoidal disturbance current signal of 1-100 kHz; a disturbance detection step, wherein the branch node detects a disturbance current signal at preset time and feeds back a detection result to the central node; and calculating the topological structure, namely calculating the topological structure of the to-be-detected distribution area by the central node according to the detection result.
In the technical scheme of the invention, the low-frequency sinusoidal disturbance current signal is used for replacing the original high-current pulse signal to identify the station zone branches, so that the influence on the power grid equipment can be avoided; the stability of the equipment operation is ensured. The mutual coupling between low-voltage transformer areas can be caused by the fact that the frequency of the disturbance current signal is too high, and the coupling effect can occur on the high-voltage side by too low frequency, so that the accuracy of the identification result can be reduced to a certain extent; the megahertz high-frequency signal is easily influenced by equivalent capacitance in a load circuit of an actual power grid, so that the actual situation deviates from the expectation to a great extent; the frequency of 1-100kHz is adopted as a disturbing current signal, the sine wave wavelength of the disturbing current signal of 1-100kHz is 3-300km in vacuum theoretical length and is enough to cover low-voltage transformer areas of almost all scales, noise influence can be reduced, signal transmission quality is guaranteed, the disturbing current signal can be effectively covered on the whole transformer area, and detection accuracy is guaranteed. Because the central node can appoint the time of sending the disturbance by broadcasting the branch node, the disturbance current signal can be generated at any time theoretically, and does not need to be generated at the zero crossing time of the voltage like the traditional large current pulse signal, so that the condition of waiting for the zero crossing time can be avoided, the detection efficiency can be improved, a corresponding voltage zero crossing circuit detection circuit is not needed, and the cost is reduced.
Further, the perturbation loading step comprises:
s100: the central node selects one node in the target branch nodes as a current target branch node;
s200: the central node broadcasts the node number of the current target branch node and specifies the preset time for sending the disturbance current signal;
s300: the branch node judges whether the branch node is a current target branch node or not according to the node number, and after the current target branch node receives the broadcast, a disturbance current signal is sent at preset time;
the disturbance detection step comprises:
s400: the branch nodes detect the disturbance current signals at preset time, and when the disturbance current signals are detected, the branch nodes feed back detection results to the central node;
s500: if the central node receives the detection result corresponding to the current target branch node, other branch nodes which are not notified are selected as the current target branch node, and S200 to S500 are repeatedly executed until the detection results corresponding to all the target branch nodes are received.
The central node actively controls each target branch node to send the disturbance current signals one by one, and detection of the branch nodes can be completed orderly and efficiently.
Further, the disturbance current signal is a low-frequency sinusoidal disturbance current signal of 10 kHz.
The sine wave wavelength λ of 10kHz is 30km in the theoretical length of vacuum, and the equivalent wavelength is about 10km, considering the complex path and round trip of the actual power line, enough to cover the whole low-voltage platform area.
Further, in S400, the branch node feeds back the detection result to the central node through power line carrier communication.
The power line carrier communication is a mature communication technology at present, and data transmission between the branch node and the central node is carried out by means of the power line carrier communication, so that the method is simple and convenient.
Further, in S500, if the central node does not receive the detection result corresponding to the current target branch node, the central node keeps the current target branch node, and repeatedly executes S200 to S500 until the detection result corresponding to the current branch node is received or the maximum retry number is reached, selects another branch node that is not notified as the current target branch node, and repeatedly executes S200 to S500 until the detection results corresponding to all the target branch nodes are received.
The failure of information sending caused by the instability of communication is avoided, and the central node can send messages for a plurality of times for the branch nodes which are not successfully fed back through retry, so that the corresponding detection results are ensured to be acquired.
Further, S100 is preceded by:
s10: and the central node identifies the transformer area and the phase line, and screens the branch nodes of the target transformer area as target branch nodes.
Through the identification of the distribution area and the phase line, corresponding target branch nodes can be screened out, and detection is only carried out on the distribution area to be detected.
Further, the detection result includes a phase characteristic of the disturbance current signal, and in the topology calculation step, the step of judging the topology of the branch node by the central node includes the following steps:
and the central node judges whether the disturbance current signal detected by the branch node is in phase with the current target branch node or not according to the detection result sent by the branch node, and if so, the branch node is judged to be the father node of the current target branch node.
And judging the loop relation among the branch nodes according to the phase of the low-frequency disturbance current signal, and calculating the topological structure relation of the whole to-be-detected distribution room through the relation among all the nodes.
Further, the invention also discloses a station zone branch identification system based on sinusoidal current disturbance, which comprises:
the system comprises a central node and branch nodes, wherein a disturbance current signal generation and detection module is installed on each branch node and comprises a disturbance current signal transmitting unit, a time unit and a disturbance current detection unit;
the central node is used for informing the target branch node to sequentially send a disturbance current signal according to the specified preset time; the disturbance current signal is a low-frequency sinusoidal disturbance current signal of 1-100 kHz;
the time unit is used for recording time;
the disturbance current signal transmitting unit is used for transmitting a disturbance current signal at the preset time specified by the central node after receiving the notification information of the central node;
the disturbance current detection unit is used for detecting a disturbance current signal at the preset time specified by the central node and feeding back a detection result to the central node;
the central node is also used for receiving the detection results sent by the branch nodes and calculating the topological structure of the to-be-detected distribution room according to the detection results.
By using the disturbing current signal generating and detecting module, the low-frequency sinusoidal disturbing current signal is used for replacing the original high-current pulse signal to identify the station zone branches, so that the influence on the power grid equipment can be avoided; the stability of the equipment operation is ensured. The mutual coupling between low-voltage transformer areas can be caused by the fact that the frequency of the disturbance current signal is too high, and the coupling effect can occur on the high-voltage side by too low frequency, so that the accuracy of the identification result can be reduced to a certain extent; the megahertz high-frequency signal is easily influenced by equivalent capacitance in a load circuit of an actual power grid, so that the actual situation deviates from the expectation to a great extent; the frequency of 1-100kHz is adopted as the disturbing current signal, so that the noise influence can be reduced, the signal transmission quality can be ensured, the disturbing current signal can be effectively covered on the whole platform area, and the detection accuracy can be ensured. Because the central node can appoint the time of sending the disturbance by broadcasting the branch node, the disturbance current signal can be generated at any time theoretically, and does not need to be generated at the zero crossing time of the voltage like the traditional large current pulse signal, so that the condition of waiting for the zero crossing time can be avoided, the detection efficiency can be improved, a corresponding voltage zero crossing circuit detection circuit is not needed, and the cost is reduced.
Further, the disturbing current signal generating and detecting module further comprises a distribution area feedback unit and a phase line feedback unit, the central node comprises a distribution area identification unit and a phase line identification unit, the distribution area feedback unit and the phase line feedback unit are used for sending distribution area information and phase line information of a branch node where the central node is located to the central node, the distribution area identification unit and the phase line identification unit are used for identifying the distribution area and the phase line according to the distribution area information and the phase line information, and the central node is further used for screening the branch node of the target distribution area as a target branch node according to the distribution area and the phase line.
By acquiring the station area information and the phase line information, the center node can conveniently screen the target branch node.
Further, the disturbing current signal generating and detecting module comprises a carrier communication unit, and the branch node receives the notification information of the central node and sends the station area information, the phase line information and the detection result to the central node through the carrier communication unit.
The carrier communication unit can be used for carrying out data transmission between the branch node and the central node through power line carrier communication, and the method is simple and convenient.
Drawings
Fig. 1 is a flowchart of an embodiment of a station zone branch identification method based on sinusoidal current disturbance according to the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
The system comprises a central node and branch nodes, wherein a disturbance current signal generation and detection module is installed on each branch node, and each disturbance current signal generation and detection module comprises a carrier communication unit, a distribution area feedback unit, a phase line feedback unit, a disturbance current signal transmitting unit, a time unit and a disturbance current detection unit; the time unit is used for recording time; the disturbance current signal transmitting unit is used for transmitting a disturbance current signal at a specified preset time after receiving the notification information of the central node; the disturbance current detection unit is used for detecting a disturbance current signal at the preset time specified by the central node and feeding back a detection result to the central node. The central node is used for informing the target branch node to sequentially send a disturbance current signal according to the specified preset time; the disturbance current signal is a low-frequency sinusoidal disturbance current signal of 1-100 kHz; the central node is also used for receiving the detection results sent by the branch nodes and calculating the topological structure of the to-be-detected distribution room according to the detection results. The communication between the branch nodes and the central node comprises the steps of receiving the notification information of the central node, and sending the station area information, the phase line information and the detection result to the central node, and is realized through a carrier communication unit.
The central node comprises a station area identification unit and a phase line identification unit, the station area feedback unit and the phase line feedback unit are used for sending station area information and phase line information of a branch node where the central node is located to the central node, the station area identification unit and the phase line identification unit are used for identifying the station area and the phase line according to the station area information and the phase line information, and the central node is further used for screening the branch node of a target station area as a target branch node according to the station area and the phase line.
In this embodiment, the disturbing current signal generating and detecting module adopts a special chip module supporting carrier communication, specifically, a WQ3011 power line carrier communication chip, and the chip module supports the functions of zone identification and phase line identification, and is used to send zone information and phase line information to the central node, so that the central node can quickly determine all branch nodes of a certain low-voltage zone, and can generate a low-frequency sinusoidal disturbing current signal of 10kHz under the control of the signal of the central node; the chip module comprises a disturbance current detection circuit, and the disturbance current detection circuit detects a low-frequency disturbance current signal and acquires phase information of the low-frequency disturbance current signal.
Specifically, in this embodiment, the disturbance current signal is a low-frequency sinusoidal disturbance current signal of 10 kHz. A sine wave wavelength λ of 10kHz is 30km in the theoretical length of vacuum, and the equivalent wavelength is about 10km considering the complex path and round trip of the actual power line, and even a quarter wavelength, i.e., λ/4 ═ 2.5km, is enough to cover the whole low-voltage stage area.
As shown in fig. 1, a station zone branch identification method based on sinusoidal current disturbance of the present embodiment is based on the above system, and the method includes:
a step of disturbance loading, in which a central node controls a target branch node to send a disturbance current signal at a specified preset time, wherein the disturbance current signal is a low-frequency sinusoidal disturbance current signal of 1-100 kHz;
a disturbance detection step, wherein the branch node detects a disturbance current signal at preset time and feeds back a detection result to the central node;
and calculating the topological structure, namely calculating the topological structure of the to-be-detected distribution area by the central node according to the detection result.
Specifically, the step of disturbance loading includes:
s10: and the central node identifies the distribution area and the phase line, screens the branch nodes of the target distribution area as target branch nodes, and screens to obtain the node numbers of the target branch nodes.
S100: the central node selects one node in the target branch nodes as a current target branch node;
s200: the central node broadcasts the node number of the current target branch node and specifies the preset time for sending the disturbance current signal;
s300: the branch node judges whether the branch node is a current target branch node or not according to the node number, and after the current target branch node receives the broadcast, a disturbance current signal is sent at preset time;
the disturbance detection step comprises:
s400: the branch nodes detect the disturbance current signals at preset time, and when the disturbance current signals are detected, the branch nodes feed back detection results to the central node; the detection result includes a phase characteristic of the disturbance current signal.
S500: if the central node receives the detection result corresponding to the current target branch node, other branch nodes which are not notified are selected as the current target branch node, and S200 to S500 are repeatedly executed until the detection results corresponding to all the target branch nodes are received. If the central node does not receive the detection result corresponding to the current target branch node, the central node keeps the current target branch node, repeatedly executes S200 to S500 until the detection result corresponding to the current branch node is received or the maximum retry number is reached, selects other branch nodes which are not notified as the current target branch node, and repeatedly executes S200 to S500 until the detection results corresponding to all the target branch nodes are received.
In the step of calculating the topological structure, when the central node judges the topological structure of the branch node, the judgment is carried out according to the following principle:
if a branch node is the parent node of the current target branch node, then the disturbance current signal it detects is in phase with the current target branch node, and if a branch node is a child or sibling of the current target branch node, then the disturbance current signal it detects is in anti-phase with the current target branch node.
Correspondingly, the step of judging the topology structure of the branch node by the central node specifically comprises the following steps:
the central node judges whether a disturbance current signal detected by the branch node is in phase with a current target branch node or not according to a detection result sent by the branch node, and if so, the branch node is judged to be a father node of the current target branch node;
and the central node perfects the previously calculated topological structure according to the detection result.
And judging the loop relation among the branch nodes according to the phase of the low-frequency disturbance current signal, and calculating the topological structure relation of the whole to-be-detected distribution room through the relation among all the nodes.
Example two
The difference between the present embodiment and the first embodiment is that the low-frequency disturbance current signal in the present embodiment is a sinusoidal current signal of 9 kHz.
EXAMPLE III
The difference between this embodiment and the first embodiment is that in this embodiment, a sinusoidal current signal of 11kHz is used as the low-frequency disturbance current signal.
Example four
The difference between the present embodiment and the first embodiment is that the low-frequency disturbance current signal in the present embodiment is a sinusoidal current signal of 1 kHz.
EXAMPLE five
The difference between this embodiment and the first embodiment is that in this embodiment, a sinusoidal current signal of 100kHz is used as the low-frequency disturbance current signal.
The above are merely examples of the present invention, and the present invention is not limited to the field related to this embodiment, and the common general knowledge of the known specific structures and characteristics in the schemes is not described herein too much, and those skilled in the art can know all the common technical knowledge in the technical field before the application date or the priority date, can know all the prior art in this field, and have the ability to apply the conventional experimental means before this date, and those skilled in the art can combine their own ability to perfect and implement the scheme, and some typical known structures or known methods should not become barriers to the implementation of the present invention by those skilled in the art in light of the teaching provided in the present application. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. A station zone branch identification method based on sinusoidal current disturbance is characterized by comprising the following steps: the method comprises the following steps:
a step of disturbance loading, in which a central node controls a target branch node to send a disturbance current signal at a specified preset time, wherein the disturbance current signal is a low-frequency sinusoidal disturbance current signal of 1-100 kHz;
a disturbance detection step, wherein the branch node detects a disturbance current signal at preset time and feeds back a detection result to the central node;
and calculating the topological structure, namely calculating the topological structure of the to-be-detected distribution area by the central node according to the detection result.
2. The station area branch identification method based on sinusoidal current disturbance according to claim 1, wherein: the disturbance loading step comprises:
s100: the central node selects one node in the target branch nodes as a current target branch node;
s200: the central node broadcasts the node number of the current target branch node and specifies the preset time for sending the disturbance current signal;
s300: the branch node judges whether the branch node is a current target branch node or not according to the node number, and after the current target branch node receives the broadcast, a disturbance current signal is sent at preset time;
the disturbance detection step comprises:
s400: the branch nodes detect the disturbance current signals at preset time, and when the disturbance current signals are detected, the branch nodes feed back detection results to the central node;
s500: if the central node receives the detection result corresponding to the current target branch node, other branch nodes which are not notified are selected as the current target branch node, and S200 to S500 are repeatedly executed until the detection results corresponding to all the target branch nodes are received.
3. The station area branch identification method based on sinusoidal current disturbance according to claim 1, wherein: the disturbance current signal is a low-frequency sinusoidal disturbance current signal of 10 kHz.
4. The station area branch identification method based on sinusoidal current disturbance according to claim 2, wherein: in S400, the branch node feeds back the detection result to the central node through power line carrier communication.
5. The method for identifying the station zone branch based on the sinusoidal current disturbance according to claim 4, wherein: in S500, if the central node does not receive the detection result corresponding to the current target branch node, the central node keeps the current target branch node, and repeatedly executes S200 to S500 until the detection result corresponding to the current branch node is received or the maximum retry number is reached, selects another branch node that is not notified as the current target branch node, and repeatedly executes S200 to S500 until the detection results corresponding to all the target branch nodes are received.
6. The method for identifying the station zone branch based on the sinusoidal current disturbance according to claim 5, wherein: before S100, further comprising:
s10: and the central node identifies the transformer area and the phase line, and screens the branch nodes of the target transformer area as target branch nodes.
7. The station area branch identification method based on sinusoidal current disturbance according to claim 1, wherein: the detection result comprises the phase characteristics of the disturbance current signal, and in the topological structure calculation step, the step that the central node judges the topological structure of the branch node comprises the following steps:
and the central node judges whether the disturbance current signal detected by the branch node is in phase with the current target branch node or not according to the detection result sent by the branch node, and if so, the branch node is judged to be the father node of the current target branch node.
8. The utility model provides a district branch identification system based on sinusoidal current disturbance which characterized in that: the method comprises the following steps:
the system comprises a central node and branch nodes, wherein a disturbance current signal generation and detection module is installed on each branch node and comprises a disturbance current signal transmitting unit, a time unit and a disturbance current detection unit;
the central node is used for informing the target branch node to sequentially send a disturbance current signal according to the specified preset time; the disturbance current signal is a low-frequency sinusoidal disturbance current signal of 1-100 kHz;
the time unit is used for recording time;
the disturbance current signal transmitting unit is used for transmitting a disturbance current signal at the preset time specified by the central node after receiving the notification information of the central node;
the disturbance current detection unit is used for detecting a disturbance current signal at the preset time specified by the central node and feeding back a detection result to the central node;
the central node is also used for receiving the detection results sent by the branch nodes and calculating the topological structure of the to-be-detected distribution room according to the detection results.
9. The system of claim 8, wherein the station zone branch identification system based on sinusoidal current disturbance comprises: the disturbing current signal generating and detecting module further comprises a distribution area feedback unit and a phase line feedback unit, the central node comprises a distribution area identification unit and a phase line identification unit, the distribution area feedback unit and the phase line feedback unit are used for sending distribution area information and phase line information of a branch node where the central node is located to the central node, the distribution area identification unit and the phase line identification unit are used for identifying the distribution area and the phase line according to the distribution area information and the phase line information, and the central node is further used for screening the branch node of a target distribution area as a target branch node according to the distribution area and the phase line.
10. The system of claim 9, wherein the station zone branch identification system based on sinusoidal current disturbance comprises: the disturbing current signal generating and detecting module comprises a carrier communication unit, and the branch node receives the notification information of the central node and sends the zone information, the phase line information and the detection result to the central node through the carrier communication unit.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112688309A (en) * | 2020-12-14 | 2021-04-20 | 国网河北省电力有限公司电力科学研究院 | Branch topology construction method and device applied to power distribution network |
| CN112688310A (en) * | 2020-12-14 | 2021-04-20 | 国网河北省电力有限公司电力科学研究院 | Line loss analysis method and device applied to power distribution network |
| CN112737128A (en) * | 2021-02-01 | 2021-04-30 | 苏州门海微电子科技有限公司 | Transformer area branch topology identification method based on alternating current chopping |
| CN113608024A (en) * | 2021-07-23 | 2021-11-05 | 威胜信息技术股份有限公司 | Low-voltage transformer area line impedance measurement method and system based on electric power special edge computing chip |
| CN114221336A (en) * | 2021-12-16 | 2022-03-22 | 重庆物奇科技有限公司 | Method and device for identifying platform area topology and storage medium |
| CN114243924A (en) * | 2021-12-21 | 2022-03-25 | 重庆物奇科技有限公司 | Transformer area topology identification method and system based on current signal detection |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103080697A (en) * | 2010-09-08 | 2013-05-01 | 西门子公司 | Apparatus, method, and computer software for detection of topology changes in electrical networks |
| CN109066990A (en) * | 2018-09-07 | 2018-12-21 | 光科技股份有限公司 | Platform area power grid tip turbulence Topology identification method based on centralized dispatching |
| CN109683064A (en) * | 2019-03-05 | 2019-04-26 | 深圳供电局有限公司 | The area distribution network Duo Tai online recognition system and method |
| CN109818812A (en) * | 2019-03-25 | 2019-05-28 | 国网山东省电力公司电力科学研究院 | A kind of low-voltage network end sensory perceptual system and method based on Internet of Things |
| CN109856507A (en) * | 2019-03-19 | 2019-06-07 | 广东电网有限责任公司 | A kind of low-voltage platform area line family relation recognition method and system based on current distortion |
-
2019
- 2019-09-20 CN CN201910893602.7A patent/CN110601363B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103080697A (en) * | 2010-09-08 | 2013-05-01 | 西门子公司 | Apparatus, method, and computer software for detection of topology changes in electrical networks |
| CN109066990A (en) * | 2018-09-07 | 2018-12-21 | 光科技股份有限公司 | Platform area power grid tip turbulence Topology identification method based on centralized dispatching |
| CN109683064A (en) * | 2019-03-05 | 2019-04-26 | 深圳供电局有限公司 | The area distribution network Duo Tai online recognition system and method |
| CN109856507A (en) * | 2019-03-19 | 2019-06-07 | 广东电网有限责任公司 | A kind of low-voltage platform area line family relation recognition method and system based on current distortion |
| CN109818812A (en) * | 2019-03-25 | 2019-05-28 | 国网山东省电力公司电力科学研究院 | A kind of low-voltage network end sensory perceptual system and method based on Internet of Things |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112688309A (en) * | 2020-12-14 | 2021-04-20 | 国网河北省电力有限公司电力科学研究院 | Branch topology construction method and device applied to power distribution network |
| CN112688310A (en) * | 2020-12-14 | 2021-04-20 | 国网河北省电力有限公司电力科学研究院 | Line loss analysis method and device applied to power distribution network |
| CN112688309B (en) * | 2020-12-14 | 2023-05-09 | 国网河北省电力有限公司电力科学研究院 | Branch topology construction method and device applied to power distribution network |
| CN112688310B (en) * | 2020-12-14 | 2024-01-09 | 国网河北省电力有限公司电力科学研究院 | Line loss analysis method and device applied to power distribution network |
| CN112737128A (en) * | 2021-02-01 | 2021-04-30 | 苏州门海微电子科技有限公司 | Transformer area branch topology identification method based on alternating current chopping |
| CN112737128B (en) * | 2021-02-01 | 2024-03-01 | 苏州门海微电子科技有限公司 | Alternating current chopper-based station division branch topology identification method |
| CN113608024A (en) * | 2021-07-23 | 2021-11-05 | 威胜信息技术股份有限公司 | Low-voltage transformer area line impedance measurement method and system based on electric power special edge computing chip |
| CN114221336A (en) * | 2021-12-16 | 2022-03-22 | 重庆物奇科技有限公司 | Method and device for identifying platform area topology and storage medium |
| CN114243924A (en) * | 2021-12-21 | 2022-03-25 | 重庆物奇科技有限公司 | Transformer area topology identification method and system based on current signal detection |
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