CN115932474A - Active power distribution network operation state diagnosis system and diagnosis method - Google Patents
Active power distribution network operation state diagnosis system and diagnosis method Download PDFInfo
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Abstract
The invention relates to the technical field of power distribution network operation state diagnosis, in particular to an active power distribution network operation state diagnosis system and method. According to the invention, the active power distribution network is divided into sections and then into nodes of different grades. And the diagnosis is carried out in a regional and grading manner, so that the pertinence in the diagnosis is strong, and the diagnosis efficiency is improved. Then, each node is detected by injecting a detection signal in a bidirectional and synchronous manner according to the priority. The grading, bidirectional and synchronous mode accelerates the detection efficiency and shortens the diagnosis time. And judging a fault route by using the running state diagnosis model, reversely tracking and positioning, and modulating the fault in a virtual environment. And finally, making a diagnosis strategy according to the optimal regulation structure. The normal operation of the active power distribution network cannot be influenced by fault modulation in the virtual environment, and the method is a safer diagnosis mode.
Description
Technical Field
The invention relates to the technical field of power distribution network operation state diagnosis, in particular to an active power distribution network operation state diagnosis system and method.
Background
The active power distribution network is a power distribution network with a large number of accessed distributed power supplies and power flowing in two directions, is a network for energy exchange and distribution, and has the advantages that the load flow and fault current flow in two directions, the active power distribution network is also called as an active power distribution network, and a new solution is provided for solving the problem of voltage rise caused by DG access, increasing the access capacity of DGs and improving the asset utilization rate of the power distribution network.
The active power distribution network is obviously different from the traditional power distribution network in terms of a topological structure and an operation mode, wherein the fluctuation of DG power generation and load power utilization, the bidirectionality of system tide and the flexibility of system operation topology and mode enable the situations of misoperation and refusal operation to easily occur in the conventional relay protection in the power distribution network, and protection devices in the system are difficult to coordinate. The traditional power distribution network fault positioning method does not consider new changes brought to the power distribution network after the DG is connected, so that the traditional power distribution network fault positioning method is not suitable for an active power distribution network. How to diagnose the running state of the active power distribution network efficiently and safely becomes a problem concerned by the power industry.
Disclosure of Invention
Aiming at the problems in the background technology, an active power distribution network operation state diagnosis system and a diagnosis method are provided. According to the invention, the active power distribution network is divided into sections and then into nodes of different grades. And the diagnosis is performed in a regional and grading manner, so that the pertinence in the diagnosis is strong, and the diagnosis efficiency is improved. Then, each node is detected by injecting a detection signal in a bidirectional and synchronous manner according to the priority. The grading, bidirectional and synchronous mode accelerates the detection efficiency and shortens the diagnosis time. And judging a fault route by using the running state diagnosis model, reversely tracking and positioning, and modulating the fault in a virtual environment. And finally, making a diagnosis strategy according to the optimal regulation structure. The normal operation of the active power distribution network cannot be influenced by fault modulation in the virtual environment, and the method is a safer diagnosis mode.
The invention provides an active power distribution network running state diagnosis system which is based on a running state diagnosis model and comprises a section division module, a data acquisition module, a diagnosis module, a positioning module, a virtual debugging module, a feedback module and a control module. The section division module is used for carrying out section division on the active power distribution network and then grading nodes in the divided sections. The data acquisition module acquires data of each section by quantifying the states of the node switches, the feeder line sections and the grid-connected switches in the active power distribution network; and inputting the data into the model generator to obtain an active power distribution network running state model in a normal working state. And the diagnosis module utilizes the current and voltage detectors arranged in advance to inject detection signals into each section according to the priority, compares the signal feedback condition with the existing active power distribution network operation state model, and diagnoses the operation condition of each node. And the positioning module reversely tracks the detection signal by utilizing the running state diagnosis model and positions the abnormal section. And the virtual debugging module maps the fault traveling wave characteristics of the abnormal section to the active power distribution network running state model, and modulates the mapping area by using a modulation mechanism established in advance to obtain an optimal diagnosis result. And the feedback module sends the diagnosis strategy to the control module according to the diagnosis result.
Preferably, the operational state diagnostic model processes the data acquired for each segment with a non-dominated sorting genetic algorithm.
Preferably, the nodes are ranked depending on the generation capacity of the DG; when the DG capacity is below 5kW, the node is in a first level; when the DG capacity is 5kW-5MW, the node is in a second stage; when the DG capacity is above 5MW, the node is in three levels.
Preferably, the positioning module comprises a signal loop detection unit, a signal enhancement unit, a back tracking single person and an abnormal signal positioning unit.
Preferably, the data acquisition module extracts transient current information of the node integrated current at nodes at both ends of each section by using a signal filter.
Preferably, the running state diagnosis model analyzes the transmission characteristics of fault traveling waves, calculates a theoretical fault distance value according to the multi-end traveling wave time difference and the two-end traveling wave principle, and establishes a search matrix and an auxiliary matrix; and finally, extracting nodes of the fault route by analyzing the element states of the search matrix and the auxiliary matrix, and judging the fault route.
Preferably, the system further comprises a prediction module; the prediction module inputs historical diagnosis data into the operation state diagnosis model to obtain a fault characteristic vector, and synthesizes the fault characteristic vector to obtain a fault prediction mode.
The invention also provides an active power distribution network operation state diagnosis method, which comprises the following steps:
s1, taking a node as a unit, collecting n node numbers along the positive direction of a network and dividing the n node numbers into a section; dividing the nodes of each section into a primary node, a secondary node and a tertiary node by taking the generating capacity of the DGs as a dividing basis;
s2, obtaining three-phase current information at nodes at two ends of each section, and calculating to obtain node comprehensive current at each node based on the three-phase current information of each node; the node comprehensive current parameters acquire data of each section by quantizing the states of a node switch, a feeder line section and a grid-connected switch in the active power distribution network; inputting data into a model generator to obtain an active power distribution network running state model in a normal working state;
s3, the current-voltage detector is arranged between adjacent nodes, and detection signals are injected bidirectionally and synchronously according to the priority;
s4, analyzing the transmission characteristics of the fault traveling wave by using an operation state diagnosis model, calculating a theoretical fault distance value according to the multi-end traveling wave time difference and the double-end traveling wave principle, and establishing a search matrix and an auxiliary matrix; finally, extracting nodes of the fault route by analyzing the element states of the search matrix and the auxiliary matrix, and judging the fault route;
s5, reversely tracking the detection signal and positioning the abnormal section;
s6, mapping the fault traveling wave characteristics of the abnormal section to an active power distribution network running state model, and modulating a mapping area by using a modulation mechanism established in advance to obtain an optimal diagnosis result;
and S7, sending a diagnosis strategy to the control module according to the diagnosis result.
Preferably, the node diagnostic priority is first with a tertiary node, second with a secondary node, and last with a primary node.
Compared with the prior art, the invention has the following beneficial technical effects:
based on the running state diagnosis model, the active power distribution network is divided into sections firstly and then into nodes of different grades through the cooperation of the section division module, the data acquisition module, the diagnosis module, the positioning module, the virtual debugging module, the feedback module and the control module. And the diagnosis is carried out in a regional and grading manner, so that the pertinence in the diagnosis is strong, and the diagnosis efficiency is improved. Then, each node is detected by injecting a detection signal in a bidirectional and synchronous manner according to the priority. The grading, bidirectional and synchronous mode accelerates the detection efficiency and shortens the diagnosis time. And judging a fault route by using the running state diagnosis model, reversely tracking and positioning, and modulating the fault in a virtual environment. And finally, making a diagnosis strategy according to the optimal regulation structure. The normal operation of the active power distribution network is not influenced by fault modulation in the virtual environment, and the method is a safer diagnosis mode.
Drawings
FIG. 1 is a flow chart of a method according to an embodiment of the present invention.
Detailed Description
Example one
The invention provides an active power distribution network running state diagnosis system which is based on a running state diagnosis model and comprises a section division module, a data acquisition module, a diagnosis module, a positioning module, a virtual debugging module, a feedback module and a control module. The section division module is used for carrying out section division on the active power distribution network and then grading nodes in the divided sections. The data acquisition module acquires data of each section by quantifying the states of the node switches, the feeder line sections and the grid-connected switches in the active power distribution network; and inputting the data into the model generator to obtain an active power distribution network running state model in a normal working state. And the diagnosis module utilizes the current and voltage detectors arranged in advance to inject detection signals into each section according to the priority, compares the signal feedback condition with the existing active power distribution network operation state model, and diagnoses the operation condition of each node. And the positioning module reversely tracks the detection signal by utilizing the running state diagnosis model and positions the abnormal section. And the virtual debugging module maps the fault traveling wave characteristics of the abnormal section to the active power distribution network running state model, and modulates the mapping area by using a modulation mechanism established in advance to obtain an optimal diagnosis result. And the feedback module sends the diagnosis strategy to the control module according to the diagnosis result.
Example two
The invention provides an active power distribution network running state diagnosis system which comprises a section division module, a data acquisition module, a diagnosis module, a positioning module, a virtual debugging module, a feedback module and a control module based on a running state diagnosis model. The section division module is used for carrying out section division on the active power distribution network and then grading nodes in the divided sections. The data acquisition module acquires data of each section by quantifying the states of the node switches, the feeder line sections and the grid-connected switches in the active power distribution network; and inputting the data into the model generator to obtain an active power distribution network running state model in a normal working state. And the diagnosis module utilizes the current and voltage detectors arranged in advance to inject detection signals into each section according to the priority, compares the signal feedback condition with the existing active power distribution network operation state model, and diagnoses the operation condition of each node. And the positioning module reversely tracks the detection signal by utilizing the running state diagnosis model and positions the abnormal section. And the virtual debugging module maps the fault traveling wave characteristics of the abnormal section to the active power distribution network running state model, and modulates the mapping area by using a modulation mechanism established in advance to obtain an optimal diagnosis result. And the feedback module sends the diagnosis strategy to the control module according to the diagnosis result.
Further, the running state diagnostic model processes the data acquired for each segment with a non-dominated sorting genetic algorithm.
Further, the node grading depends on the generation capacity of the DG; when the DG capacity is below 5kW, the node is in a first level; when the DG capacity is 5kW-5MW, the node is in a second stage; when the DG capacity is above 5MW, the node is in three levels.
Furthermore, the positioning module comprises a signal loop detection unit, a signal strengthening unit, a reverse tracking single member and an abnormal signal positioning unit.
Further, the data acquisition module extracts transient current information of the node integrated current at nodes at two ends of each section by using a signal filter.
Further, the running state diagnosis model analyzes the transmission characteristics of fault traveling waves, calculates a theoretical fault distance value according to the multi-end traveling wave time difference and the double-end traveling wave principle, and establishes a search matrix and an auxiliary matrix; and finally, extracting nodes of the fault route and judging the fault route by analyzing the element states of the search matrix and the auxiliary matrix.
EXAMPLE III
The invention provides an active power distribution network running state diagnosis system which is based on a running state diagnosis model and comprises a section division module, a data acquisition module, a diagnosis module, a positioning module, a virtual debugging module, a feedback module and a control module. The section division module is used for carrying out section division on the active power distribution network and then grading nodes in the divided sections. The data acquisition module acquires data of each section by quantifying the states of the node switches, the feeder line sections and the grid-connected switches in the active power distribution network; and inputting the data into the model generator to obtain an active power distribution network running state model in a normal working state. And the diagnosis module utilizes the current and voltage detectors arranged in advance to inject detection signals into each section according to the priority, compares the signal feedback condition with the existing active power distribution network operation state model, and diagnoses the operation condition of each node. And the positioning module reversely tracks the detection signal by utilizing the running state diagnosis model and positions the abnormal section. And the virtual debugging module maps the fault traveling wave characteristics of the abnormal section to the active power distribution network running state model, and modulates the mapping area by using a modulation mechanism established in advance to obtain an optimal diagnosis result. And the feedback module sends the diagnosis strategy to the control module according to the diagnosis result.
Further, the operation state diagnosis model processes the acquired data of each section by a non-dominated sorting genetic algorithm.
Further, the node grading depends on the generation capacity of the DG; when the DG capacity is below 5kW, the node is in a first level; when the DG capacity is 5kW-5MW, the node is in a second stage; when the DG capacity is above 5MW, the node is in three levels.
Furthermore, the positioning module comprises a signal loop detection unit, a signal strengthening unit, a reverse tracking single member and an abnormal signal positioning unit.
Further, the data acquisition module extracts transient current information of the node integrated current at the nodes at the two ends of each section by using the signal filter.
Further, the running state diagnosis model analyzes the transmission characteristics of fault traveling waves, calculates a theoretical fault distance value according to the multi-end traveling wave time difference and the double-end traveling wave principle, and establishes a search matrix and an auxiliary matrix; and finally, extracting nodes of the fault route by analyzing the element states of the search matrix and the auxiliary matrix, and judging the fault route.
Further, the device also comprises a prediction module; and the prediction module inputs the historical diagnosis data into the operation state diagnosis model to obtain a fault characteristic vector, and synthesizes the fault characteristic vector to obtain a fault prediction mode.
Example four
As shown in fig. 1, the present invention further provides a method for diagnosing an operating state of an active power distribution network, which comprises the following steps:
s1, taking a node as a unit, collecting n node numbers along the positive direction of a network and dividing the n node numbers into a section; dividing the nodes of each section into a primary node, a secondary node and a tertiary node by taking the generating capacity of the DGs as a dividing basis;
s2, three-phase current information of nodes at two ends of each section is obtained, and node comprehensive current of each node is obtained through calculation based on the three-phase current information of each node; the node comprehensive current parameters acquire data of each section by quantifying the states of a node switch, a feeder line section and a grid-connected switch in an active power distribution network; inputting data into a model generator to obtain an active power distribution network running state model in a normal working state;
s3, the current and voltage detectors are arranged between adjacent nodes, and detection signals are injected bidirectionally and synchronously according to the priority;
s4, analyzing the transmission characteristics of fault traveling waves by the running state diagnosis model, calculating a theoretical fault distance value according to the multi-end traveling wave time difference and the double-end traveling wave principle, and establishing a search matrix and an auxiliary matrix; finally, extracting nodes of the fault route by analyzing the element states of the search matrix and the auxiliary matrix, and judging the fault route;
s5, reversely tracking the detection signal and positioning the abnormal section;
s6, mapping the fault traveling wave characteristics of the abnormal section to an active power distribution network running state model, and modulating a mapping area by using a modulation mechanism established in advance to obtain an optimal diagnosis result;
and S7, sending a diagnosis strategy to the control module according to the diagnosis result.
Further, the node diagnosis priority is first with a third level node, second level node, and first level node.
The active power distribution network is divided into the sections firstly and then into nodes of different grades based on the running state diagnosis model through the cooperation of the section division module, the data acquisition module, the diagnosis module, the positioning module, the virtual debugging module, the feedback module and the control module. And the diagnosis is carried out in a regional and grading manner, so that the pertinence in the diagnosis is strong, and the diagnosis efficiency is improved. Then, each node is detected by injecting a detection signal in a bidirectional and synchronous manner according to the priority. The grading, bidirectional and synchronous mode accelerates the detection efficiency and shortens the diagnosis time. And judging a fault route by using the running state diagnosis model, reversely tracking and positioning, and modulating the fault in a virtual environment. And finally, making a diagnosis strategy according to the optimal regulation structure. The normal operation of the active power distribution network cannot be influenced by fault modulation in the virtual environment, and the method is a safer diagnosis mode.
The embodiments of the present invention have been described in detail with reference to the drawings, but the present invention is not limited thereto, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (9)
1. The active power distribution network running state diagnosis system is characterized by comprising a section division module, a data acquisition module, a diagnosis module, a positioning module, a virtual debugging module, a feedback module and a control module based on a running state diagnosis model;
the section division module is used for carrying out section division on the active power distribution network and then grading nodes in the divided sections;
the data acquisition module acquires data of each section by quantifying the states of the node switches, the feeder line sections and the grid-connected switches in the active power distribution network; inputting data into a model generator to obtain an active power distribution network running state model in a normal working state;
the diagnosis module utilizes a current-voltage detector arranged in advance, injects detection signals into each section according to priority, compares the signal feedback condition with the existing active power distribution network operation state model, and diagnoses the operation condition of each node;
the positioning module reversely tracks the detection signal by using the running state diagnosis model and positions the abnormal section;
the virtual debugging module maps the fault traveling wave characteristics of the abnormal section to an active power distribution network running state model, and modulates a mapping area by using a modulation mechanism established in advance to obtain an optimal diagnosis result;
and the feedback module sends the diagnosis strategy to the control module according to the diagnosis result.
2. The active power distribution network operating condition diagnostic system according to claim 1, wherein the operating condition diagnostic model processes the data obtained from each section by a non-dominated sorting genetic algorithm.
3. The active power distribution network operating condition diagnostic system of claim 1, wherein the nodes are ranked depending on the generation capacity of the DG; when the DG capacity is below 5kW, the node is in a first level; when the DG capacity is 5kW-5MW, the node is in a second stage; when the DG capacity is above 5MW, the node is in three levels.
4. The active power distribution network operating state diagnostic system of claim 1, wherein the positioning module comprises a signal loop detection unit, a signal enhancement unit, a back tracking single person and an abnormal signal positioning unit.
5. The active power distribution network operating condition diagnosis system according to claim 1, wherein the data acquisition module extracts transient current information of the node integrated current at the nodes at both ends of each section by using a signal filter.
6. The active power distribution network operation state diagnosis system according to claim 1, wherein the operation state diagnosis model analyzes transmission characteristics of fault traveling waves, calculates theoretical fault distance values according to a multi-terminal traveling wave time difference and a two-terminal traveling wave principle, and establishes a search matrix and an auxiliary matrix; and finally, extracting nodes of the fault route by analyzing the element states of the search matrix and the auxiliary matrix, and judging the fault route.
7. The active power distribution network operating state diagnostic system of claim 1, further comprising a prediction module; the prediction module inputs historical diagnosis data into the operation state diagnosis model to obtain a fault characteristic vector, and synthesizes the fault characteristic vector to obtain a fault prediction mode.
8. A method for diagnosing the operating state of an active power distribution network according to any one of claims 1 to 7, characterized in that the steps are as follows:
s1, taking a node as a unit, collecting n node numbers along the positive direction of a network and dividing the n node numbers into a section; dividing the nodes of each section into a first-level node, a second-level node and a third-level node by taking the generation capacity of DGs as a division basis;
s2, obtaining three-phase current information at nodes at two ends of each section, and calculating to obtain node comprehensive current at each node based on the three-phase current information of each node; the node comprehensive current parameters acquire data of each section by quantifying the states of a node switch, a feeder line section and a grid-connected switch in an active power distribution network; inputting data into a model generator to obtain an active power distribution network running state model in a normal working state;
s3, the current and voltage detectors are arranged between adjacent nodes, and detection signals are injected bidirectionally and synchronously according to the priority;
s4, analyzing the transmission characteristics of the fault traveling wave by using an operation state diagnosis model, calculating a theoretical fault distance value according to the multi-end traveling wave time difference and the double-end traveling wave principle, and establishing a search matrix and an auxiliary matrix; finally, extracting nodes of the fault route by analyzing the element states of the search matrix and the auxiliary matrix, and judging the fault route;
s5, reversely tracking the detection signal and positioning the abnormal section;
s6, mapping the fault traveling wave characteristics of the abnormal section to an active power distribution network running state model, and modulating a mapping area by using a modulation mechanism established in advance to obtain an optimal diagnosis result;
and S7, sending a diagnosis strategy to the control module according to the diagnosis result.
9. The method as claimed in claim 8, wherein the node diagnosis priority is first of a tertiary node, second of a secondary node, and last of a primary node.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117011805A (en) * | 2023-10-07 | 2023-11-07 | 广东电网有限责任公司云浮供电局 | Data exception evaluation method, device, equipment and readable storage medium |
| CN117250441A (en) * | 2023-11-17 | 2023-12-19 | 国网四川省电力公司广安供电公司 | Fault positioning method for low-voltage distribution network |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117011805A (en) * | 2023-10-07 | 2023-11-07 | 广东电网有限责任公司云浮供电局 | Data exception evaluation method, device, equipment and readable storage medium |
| CN117011805B (en) * | 2023-10-07 | 2024-02-06 | 广东电网有限责任公司云浮供电局 | Data exception evaluation method, device, equipment and readable storage medium |
| CN117250441A (en) * | 2023-11-17 | 2023-12-19 | 国网四川省电力公司广安供电公司 | Fault positioning method for low-voltage distribution network |
| CN117250441B (en) * | 2023-11-17 | 2024-01-30 | 国网四川省电力公司广安供电公司 | Fault positioning method for low-voltage distribution network |
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