CN117526411A - Self-healing control method, device, equipment and medium for power distribution network - Google Patents
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
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- H02J3/144—Demand-response operation of the power transmission or distribution network
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- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/388—Islanding, i.e. disconnection of local power supply from the network
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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Abstract
The invention discloses a self-healing control method, a device, equipment and a medium for a power distribution network, wherein the method comprises the following steps: acquiring a fault cut-off position of a target distribution line and determining a fault type; judging whether a fault recovery plan exists according to the fault type and by combining a pre-constructed fault prediction set; when the fault recovery plan is matched, judging whether the current fault plan can completely recover the load; when the current fault plan is insufficient to fully recover the load, judging whether the unrecoverable area meets island operation conditions; and when the unrecoverable area meets the island operation condition, executing an island division algorithm on the current unrecoverable area to obtain a final recovery scheme. According to the method, the fault prediction set is constructed, so that accident early warning during normal operation of the power grid and rapid fault processing during power grid faults are realized.
Description
Technical Field
The invention relates to the technical field of power system fault self-healing, in particular to a power distribution network self-healing control method, device, equipment and medium.
Background
With the large-scale access of new energy to the power distribution network, the traditional passive power distribution network becomes a modern active power distribution network. The new energy is accessed into the power distribution network, so that the modeling, the operation characteristics and the voltage control of the power distribution network are influenced, and indexes such as electric energy quality and reliability are changed; the new energy is accessed into the power distribution network, so that more uncertainty and randomness are brought, and the operation mode of the modern power distribution network is more complex.
The common active power distribution network fault processing method in the prior art is a manual inspection method, and faults are found and repaired in time through manual inspection and maintenance of power distribution equipment. The method can effectively avoid equipment faults and accidents, but needs to input a great deal of time and energy manually, and has the advantages of low efficiency, low fault diagnosis accuracy and low fault processing speed.
Therefore, by means of synchronous measurement and communication technology, the detection of faults and novel protection methods of the modern power distribution network are explored gradually. The method mainly senses the running state in real time according to a distributed detection technology, and realizes fault detection, line selection and self-healing control through collected fault whole process information after the ground fault occurs so as to realize uninterrupted power supply. But still has the problems of inaccurate, unreliable and rapid fault line selection and rapid self-healing.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a self-healing control method, device, equipment and medium for a power distribution network, and accident early warning and rapid fault processing during power grid faults are realized by constructing a fault prediction set.
According to an aspect of the specification, the invention provides a self-healing control method of a power distribution network, which comprises the following steps:
acquiring a fault cut-off position of a target distribution line and determining a fault type;
judging whether a fault recovery plan exists according to the fault type and by combining a pre-constructed fault prediction set;
when the fault recovery plan is matched, judging whether the current fault plan can completely recover the load;
when the current fault plan is insufficient to fully recover the load, judging whether the unrecoverable area meets island operation conditions;
and when the unrecoverable area meets the island operation condition, executing an island division algorithm on the current unrecoverable area to obtain a final recovery scheme.
As a further technical solution, the pre-constructing of the failure prediction set further includes:
when the power grid normally operates, performing risk assessment on the load of the target distribution line;
and determining a fault prediction set according to the risk assessment result.
As a further technical solution, after constructing the failure prediction set, the method further includes:
sorting the fault prediction set;
and carrying out safety analysis on the electrical equipment in the fault prediction set according to the sequence to obtain a fault recovery plan.
As a further technical solution, when the fault recovery scheme is not matched, the method further includes:
carrying out power supply capacity evaluation on the fault area, and introducing a load shedding strategy when the power supply capacity is insufficient;
and obtaining a fault recovery scheme by using the load shedding strategy.
As a further technical scheme, when the currently matched fault plan can fully recover the load, the fault recovery plan is directly output.
As a further technical scheme, when the unrecoverable area does not meet the island operation condition, the matched fault recovery scheme is directly output.
According to an aspect of the present disclosure, there is provided a self-healing control device for a power distribution network, including:
the fault acquisition module is used for acquiring the fault cut-off position of the target distribution line and determining the fault type;
the recovery plan judging module is used for judging whether a fault recovery plan exists according to the fault type and the pre-constructed fault prediction set;
the complete recovery judging module is used for judging whether the current fault plan can completely recover the load when the fault recovery plan is matched;
the island condition judging module is used for judging whether the unrecoverable area meets island operation conditions or not when the current fault plan is insufficient for completely recovering the load;
and the island algorithm module is used for executing an island division algorithm on the current unrecoverable area when the unrecoverable area meets island operation conditions, so as to obtain a final recovery scheme.
As a further technical solution, the pre-constructing of the failure prediction set further includes:
when the power grid normally operates, performing risk assessment on the load of the target distribution line;
and determining a fault prediction set according to the risk assessment result.
According to an aspect of the present disclosure, there is provided an electronic device, including a processor, a memory, and a computer program stored on the memory and executable by the processor, where the computer program when executed by the processor implements the steps of the self-healing control method of a power distribution network.
According to an aspect of the present disclosure, there is provided a computer readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the self-healing control method for a power distribution network.
Compared with the prior art, the invention has the beneficial effects that:
aiming at a target distribution line, a fault prediction set is constructed through online risk assessment during normal operation of the target distribution line, so that a matched fault recovery plan is quickly provided when a fault actually occurs, and quick recovery of the fault is realized; meanwhile, for the situation that the predicted fault is not met, power supply capacity analysis and island analysis are sequentially carried out on the fault, so that a feasible fault recovery scheme can be obtained as soon as possible under the fault situation.
Drawings
Fig. 1 is a schematic flow chart of a self-healing control method of a power distribution network according to an embodiment of the invention.
FIG. 2 is a flow chart illustrating the construction of a failure prediction set according to an embodiment of the present invention.
FIG. 3 is a flow chart illustrating a case where no fault recovery scheme is matched according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made in detail and with reference to the accompanying drawings, wherein it is apparent that the embodiments described are only some, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
Example 1
The embodiment provides a power distribution network self-healing control method, which realizes accident early warning when a power grid normally operates and quick fault processing when the power grid breaks down by constructing a fault prediction set.
As shown in fig. 1, the method specifically includes:
and step 1, acquiring a fault cut-off position of a target distribution line, and determining a fault type.
Specifically, when a fault occurs in the power distribution network, and the voltage instantaneous value is beyond the limit, the fault cut-off position is obtained through the fault positioning device and uploaded to the master station system.
Further, the ring main unit controls the intelligent sectionalizing switch to act, the faults are isolated in the feeder lines of the distributed power supply, the main line voltage loss caused by the faulty feeder lines is avoided, and the electric quantity, the topology information, the branch switch state, the contact switch state and the like in the ring main unit are uploaded to the master station system through the power distribution terminal equipment provided with the high-speed communication module.
And the master station system determines the fault type according to the fault occurrence position and the fault information. The fault type is matched with the fault type in the pre-constructed fault prediction set.
And step 2, judging whether a fault recovery plan exists according to the fault type and by combining a pre-constructed fault prediction set.
As shown in fig. 2, the pre-construction of the failure prediction set further includes:
when the power grid normally operates, performing risk assessment on the load of the target distribution line;
and determining a fault prediction set according to the risk assessment result.
The risk assessment method for the load of the target distribution line specifically comprises the following steps:
inputting the equipment failure rate of the power grid at the time t, and determining the load to be evaluated in the power grid;
calculating k shortest paths of all load nodes;
carrying out safety verification on the power supply path to obtain a feasible power supply path;
obtaining the power failure rate of each load at the time t according to the feasible power supply paths and the equipment failure rate;
and obtaining the power failure risk of the load at the moment t according to the importance degree, the active power and the power failure rate of the load at the moment t.
The goal of the k-shortest path is to find the shortest, next shortest, up to the kth shortest reachable path between two nodes. According to the embodiment, loop verification is added on the basis of the document 'analysis and solving of k times of short-path problems', and k power supply paths meeting the actual engineering requirements of the power distribution network are obtained.
According to the power failure risk calculation method, a fault prediction set is formed according to the calculated power failure risk, so that fault early warning when a power grid is normal and rapid fault processing when the power grid is in fault are facilitated.
After the power grid fails, firstly judging whether a preset scheme exists in the failure, if so, carrying out online matching, and outputting a scheme meeting the matching condition as a final scheme.
And step 3, judging whether the current fault plan can completely restore the load when the fault restoration plan is matched.
When fault recovery scheme matching is carried out, the matching conditions of the scheme are as follows: the actual fault equipment is consistent with the fault equipment corresponding to the pre-plan, the power grid operation mode is consistent, and the pre-plan meets the operation constraint of the current power grid.
If the load can be fully recovered, the matched fault recovery scheme is directly output. If the load cannot be fully recovered, determining an unrecoverable area, and moving to the next step.
Since online security analysis is not possible to exhaust all possible incidents, when no failure of a plan occurs or the plan does not meet the matching condition, as shown in fig. 3, the following steps are required:
carrying out power supply capacity evaluation on the fault area, and introducing a load shedding strategy when the power supply capacity is insufficient;
and obtaining a fault recovery scheme by using the load shedding strategy.
And step 4, judging whether the unrecoverable area meets the island operation condition or not when the current fault plan is insufficient to completely recover the load.
When a large-scale power failure accident occurs to the power grid, the power supply capacity of the main network is insufficient to recover the loads of all power failure areas, and in order to ensure the operation safety of the power grid, part of the loads need to be cut off. And if the cut out part of the power loss area meets the island operation condition, island division is performed to improve the power supply reliability.
Specifically, the main station system performs island division on the power distribution network according to fault information, independent power supply capacity and communication capacity.
And step 5, when the unrecoverable area meets the island operation condition, executing an island division algorithm on the current unrecoverable area to obtain a final recovery scheme.
Specifically, the island division algorithm specifically includes: the Dijkstra algorithm is adopted to calculate the shortest paths from all DG nodes to important load nodes; island division is carried out on important load node paths; and carrying out island division on the rest load nodes.
When the island division is carried out on the important load node, the method further comprises the following steps:
according to the obtained shortest paths, sorting paths from the important load node to each DG node according to the sequence from small to large; by R ij The j-th path, s representing the i-th important load node according to the path distance sequence i Record whether the node is marked, s i =0 indicates unlabeled, s i =1 indicates that it has been marked;
initializing that all nodes are not marked;
judging whether the current node i is marked or not, if not, judging a path R ij If so, the load nodes on the path are marked into the island, and all important load nodes on the path are marked;
and judging whether all the important load nodes are marked or not until the marking of all the important load nodes is completed.
Different from the above, when dividing other load nodes, judging whether other islands are directly connected with the current island according to the external connection relation of the islands, and if not, obtaining a conforming node set directly connected with the current island; if yes, merging the current island into the current island and marking the current island, and obtaining a load node set directly adjacent to the merged current island.
Example 2
Based on the same inventive concept as embodiment 1, this embodiment introduces a self-healing control device for a power distribution network, including:
the fault acquisition module is used for acquiring the fault cut-off position of the target distribution line and determining the fault type;
the recovery plan judging module is used for judging whether a fault recovery plan exists according to the fault type and the pre-constructed fault prediction set;
the complete recovery judging module is used for judging whether the current fault plan can completely recover the load when the fault recovery plan is matched;
the island condition judging module is used for judging whether the unrecoverable area meets island operation conditions or not when the current fault plan is insufficient for completely recovering the load;
and the island algorithm module is used for executing an island division algorithm on the current unrecoverable area when the unrecoverable area meets island operation conditions, so as to obtain a final recovery scheme.
The specific function implementation of each module is described in the method of reference embodiment 1, and is not repeated, and specifically noted is that:
the pre-construction of the fault prediction set further comprises:
when the power grid normally operates, performing risk assessment on the load of the target distribution line;
and determining a fault prediction set according to the risk assessment result.
Example 3
The present embodiment introduces an electronic device based on the same inventive concept as the other embodiments, the electronic device including a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program when executed by the processor implements the steps of the self-healing control method of a distribution network.
Example 4
The present embodiment introduces a computer-readable storage medium on which a computer program is stored, based on the same inventive concept as the other embodiments, wherein the steps of the self-healing control method of a distribution network are implemented when the computer program is executed by a processor.
In summary, in the embodiment of the invention, when the power grid normally operates, fault scanning and analysis are carried out on a fault prediction set, and a recovery plan is made on the predicted fault before the fault; after the fault occurs, the scheme meeting the scheme matching condition is used as a recovery scheme by scheme matching, so that the system resources before the fault are effectively utilized, and the fault recovery efficiency is improved; and meanwhile, when the recovery plan is not matched, the island division is utilized to recover the power loss load to the maximum extent, and the distributed power supply in the system is utilized, so that the power supply reliability of the system is improved.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced with equivalents; these modifications or substitutions do not depart from the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.
Claims (10)
1. The self-healing control method for the power distribution network is characterized by comprising the following steps of:
acquiring a fault cut-off position of a target distribution line and determining a fault type;
judging whether a fault recovery plan exists according to the fault type and by combining a pre-constructed fault prediction set;
when the fault recovery plan is matched, judging whether the current fault plan can completely recover the load;
when the current fault plan is insufficient to fully recover the load, judging whether the unrecoverable area meets island operation conditions;
and when the unrecoverable area meets the island operation condition, executing an island division algorithm on the current unrecoverable area to obtain a final recovery scheme.
2. The power distribution network self-healing control method according to claim 1, wherein the pre-construction of the fault prediction set further comprises:
when the power grid normally operates, performing risk assessment on the load of the target distribution line;
and determining a fault prediction set according to the risk assessment result.
3. The power distribution network self-healing control method according to claim 1, further comprising, after constructing the failure prediction set:
sorting the fault prediction set;
and carrying out safety analysis on the electrical equipment in the fault prediction set according to the sequence to obtain a fault recovery plan.
4. A power distribution network self-healing control method according to claim 1, further comprising, when no fault recovery scheme is matched:
carrying out power supply capacity evaluation on the fault area, and introducing a load shedding strategy when the power supply capacity is insufficient;
and obtaining a fault recovery scheme by using the load shedding strategy.
5. The power distribution network self-healing control method according to claim 4, wherein when the currently matched fault plan can fully recover the load, the fault recovery plan is directly output.
6. The power distribution network self-healing control method according to claim 5, wherein when the unrecoverable area does not meet the island operation condition, the matched fault recovery scheme is directly output.
7. The utility model provides a distribution network self-healing controlling means which characterized in that includes:
the fault acquisition module is used for acquiring the fault cut-off position of the target distribution line and determining the fault type;
the recovery plan judging module is used for judging whether a fault recovery plan exists according to the fault type and the pre-constructed fault prediction set;
the complete recovery judging module is used for judging whether the current fault plan can completely recover the load when the fault recovery plan is matched;
the island condition judging module is used for judging whether the unrecoverable area meets island operation conditions or not when the current fault plan is insufficient for completely recovering the load;
and the island algorithm module is used for executing an island division algorithm on the current unrecoverable area when the unrecoverable area meets island operation conditions, so as to obtain a final recovery scheme.
8. The power distribution network self-healing control device according to claim 7, wherein the pre-construction of the failure prediction set further comprises:
when the power grid normally operates, performing risk assessment on the load of the target distribution line;
and determining a fault prediction set according to the risk assessment result.
9. An electronic device comprising a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program when executed by the processor implements the steps of a power distribution network self-healing control method according to any one of claims 1 to 6.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program, wherein the computer program, when executed by a processor, implements the steps of a power distribution network self-healing control method according to any one of claims 1 to 6.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102136721A (en) * | 2011-03-08 | 2011-07-27 | 中国电力科学研究院 | Multi-object optimized power supply recovery reasoning and searching method |
| CN106981875A (en) * | 2017-04-26 | 2017-07-25 | 国网江西省电力公司电力科学研究院 | The restoration methods of distribution network failure containing DG of meter and plan isolated island |
| CN107749620A (en) * | 2017-10-13 | 2018-03-02 | 国网河北能源技术服务有限公司 | A kind of method of service restoration containing distributed power distribution network |
-
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102136721A (en) * | 2011-03-08 | 2011-07-27 | 中国电力科学研究院 | Multi-object optimized power supply recovery reasoning and searching method |
| CN106981875A (en) * | 2017-04-26 | 2017-07-25 | 国网江西省电力公司电力科学研究院 | The restoration methods of distribution network failure containing DG of meter and plan isolated island |
| CN107749620A (en) * | 2017-10-13 | 2018-03-02 | 国网河北能源技术服务有限公司 | A kind of method of service restoration containing distributed power distribution network |
Non-Patent Citations (1)
| Title |
|---|
| 王增平等: "基于k 最短路径算法的负荷停电风险在线评估", 《电力自动化设备》, vol. 36, no. 1, 31 January 2016 (2016-01-31), pages 1 - 6 * |
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