Urban power distribution network fault analysis method

Abstract

The invention discloses an urban power distribution network fault analysis method. The method comprises the following steps: step 1, monitoring data of a power distribution network; 2, collecting the load of each node of the power distribution network, and constructing a fault feature sample library in combination with the monitoring data in the step 1; 3, constructing a power distribution network model according to the line, the switching value device, the power equipment and the electric appliance of the actual power distribution network; and step 4, positioning a fault position. According to the urban power distribution network fault analysis method, the change of the operation mode of the power distribution network is sensed in real time, the fault reason condition is quickly searched, and multiple fault simulation rules are input into the power distribution network model according to the fault phenomenon when the power distribution network breaks down, so that multiple fault simulation schemes are quickly simulated; and possible actual fault causes can be quickly reduced or locked.

Description

Technical Field

[0001] The invention relates to the technical field of power distribution automation, and in particular to a method for analyzing faults in a city power distribution network. Background Art

[0002] Nowadays, there are many devices in the urban distribution network, and the equipment communication is very complicated due to the dense distribution of power load in the city. Therefore, if the power equipment in the urban distribution network fails, it will cause huge analytical pressure on fault troubleshooting and fault impact judgment. In the urban distribution network, taking the low-voltage residential power consumption area as an example, the phenomenon of cross-connection of low-voltage power consumption areas in the urban distribution network is very common. Usually, the whole area is out of power, but there are still a few power users in the geographical scope of the area that are powered on. This has brought great challenges to the analysis of power fault impacts, but the current urban distribution network power equipment fault analysis lacks effective technical means and has the following problems: the traditional fault impact analysis is guided by fault location, analyzing the root cause of the power outage and guiding front-line workers to repair, but lacks global information reports, and requires a detailed fault analysis report to indicate which equipment in the power outage area is out of power and which equipment is not out of power; the existing urban distribution network fault information acquisition is usually based on the combination of power dispatch information analysis feedback data and 95598 customer service repair feedback order data to analyze the fault situation, lacking a unified fault information acquisition channel; the existing distribution network intelligent fault analysis method only relies on electrical topology analysis to achieve; the power supply areas in the urban distribution network often cross each other, and the power management department cannot accurately and effectively provide effective information support to other social management departments by relying solely on traditional electrical topology maps; the power dispatch control system records the real-time and historical operation data of each device in the distribution network, and the power production management system records the basic management data of the equipment in the distribution network, including power geographic information, but the two systems are currently unable to connect, and cannot provide more powerful support for equipment fault analysis in the distribution network.

[0003] In recent years, some research has been conducted on the optimization index of the distribution network operation mode. The optimization index systems of these studies are optimized from a certain aspect of the distribution network. There is no overall optimization goal, which cannot fully reflect the economic and technical requirements of the distribution network. Single goals, mainly including: the economy reflected by the network loss of the whole network, the reliability reflected by the number of branch switch operations, the safety of possible misoperation caused by the loop impact current, etc., are difficult to adapt to the complex requirements of the optimization of the distribution network operation mode. Under different operating conditions, the focus of the optimization of the distribution network operation mode will be different. For example, under normal operating conditions, more attention will be paid to the economy, while under fault maintenance conditions, the focus will be on the safety of distribution network operation and the reliability of power supply. At present, the optimization of the distribution network operation mode is mostly only optimized for the distribution network in a single state, and the problem is considered in isolation, or optimized for economy under normal operating conditions, or optimized for power supply restoration under fault conditions, without fully combining the three operating states and considering them as a whole.

[0004] At present, the operation mode of dispatching is completely arranged by the operator based on past experience and current load conditions. There are many problems with manual arrangement of operation mode. First, manual arrangement is prone to errors and omissions are inevitable; second, the workload of manual arrangement is huge, and the arrangement of operation mode occupies most of the time of the operator's personnel, which is one of the reasons for its heavy workload; third, the efficiency of manual arrangement of operation mode is not high, and the cumbersome calculation efficiency is very low. In this regard, computers play an irreplaceable role. When the operation mode of the distribution network changes, it is necessary to manually verify whether the new state meets the operation requirements, but this method is difficult to achieve the desired effect. For computers, as long as the rules are correct, the operation mode can be verified according to the rules in a very short time. In addition, the management functions of the operation mode, such as the release and query of the operation mode, are very cumbersome and inconvenient for information sharing under the traditional management mode.

[0005] In view of the various defects of manually scheduled operation modes, based on market needs, and with the continuous deepening of the development of power system application software based on artificial intelligence technology, the development of systems and software for scheduling power grid operation modes will become a new hotspot in the development of power system application software. Summary of the invention

[0006] In view of the above technical problems to be solved, the present invention provides a method for analyzing urban distribution network faults.

[0007] In order to solve the above technical problems, the technical solution proposed by the present invention is:

[0008] In order to achieve the above object, the technical solution of the present invention is as follows:

[0009] A method for analyzing urban distribution network faults comprises the following steps:

[0010] Step 1, monitoring the data of the distribution network;

[0011] Step 2: Collect the loads of each node in the distribution network and build a fault feature sample library based on the monitoring data in step 1;

[0012] Step 3: construct a distribution network model based on the lines, switch devices, power equipment and electrical appliances of the actual distribution network;

[0013] Step 4: Locate the fault location.

[0014] As a further improvement of the above technical solution:

[0015] Preferably, in the above scheme, in step 1, the current, voltage and power of the nodes and branches in real-time operation of the distribution network are monitored in real time by a monitoring system.

[0016] In the above scheme, preferably, in step 1, the monitoring data includes but is not limited to the following:

[0017] (1) Transformer operating status, bus voltage on each side; tap position; power and current flowing through the transformer; switch status on each side of the transformer; bus split or bus tie switch status, etc.;

[0018] (2) Switching status of capacitors and reactors; Switching status and current of power supply lines;

[0019] (3) Switch signals related to equipment hot standby judgment;

[0020] (4) Relevant protection signals that affect the switching of capacitors and reactors and the raising and lowering of transformer taps;

[0021] (5) The AVC system can display the primary wiring diagram of the system and the above detected data online on the operation interface;

[0022] (6) High-voltage bus voltage data of power plant generators within the regional power grid;

[0023] (7) Operation data of SVC and other voltage and regulation equipment / devices;

[0024] (8) System frequency value.

[0025] Preferably, in the above scheme, in step 2, a power monitoring sensor is arranged at the power input control end corresponding to each power consumption area of ​​the distribution network to monitor the corresponding power of each power consumption area in real time, thereby identifying the power supply status of each power consumption area.

[0026] In the above scheme, preferably, in step 3, the actual input parameters of the distribution network are used as the operation input parameters of the distribution network model, and the operation status of the distribution network model is obtained.

[0027] Preferably, in the above scheme, in step 4, the power grid information is combined with the geographical location, and a distribution network fault geographical map is formed based on a standard electronic map and combined with the geographical information and line map of distribution network towers, lines and station equipment.

[0028] Compared with the prior art, the urban distribution network fault analysis method provided by the present invention has the following advantages:

[0029] The urban distribution network fault analysis method of the present invention establishes a distribution network fault cause diagnosis and analysis model, and quickly finds the fault cause by sensing the changes in the power grid operation mode in real time. The present invention establishes a global distribution network operation system, and when a fault occurs in the distribution network, multiple fault simulation rules are input into the distribution network model according to the fault phenomenon, so as to quickly simulate multiple fault simulation schemes, and match and analyze the fault simulation scheme information with the actual fault information to determine the closest simulated fault cause, thereby quickly narrowing down or locking the possible actual fault cause. DETAILED DESCRIPTION

[0030] The specific embodiments of the present invention are described in detail below. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0031] An implementation of the urban distribution network fault analysis method of the present invention includes the following method:

[0032] Step 1: Monitor the data of the distribution network.

[0033] The monitoring system monitors the current, voltage and power of nodes and branches in real-time operation of the distribution network, detects abnormal conditions such as line overload and voltage exceeding the limit and reports them.

[0034] Monitoring data includes but is not limited to the following:

[0035] (1) The operating status of the transformer, bus voltage on each side; tap position; power and current flowing through the transformer; switch status on each side of the transformer; bus split or bus tie switch status, etc.

[0036] (2) The switch status of capacitors and reactors; the switch status and current of the power supply line, etc.

[0037] (3) Switch signal related to the hot standby judgment of the equipment.

[0038] (4) Relevant protection signals that affect the switching on and off of capacitors and reactors and the raising and lowering of transformer taps.

[0039] (5) The AVC system can display the primary wiring diagram of the system and the above detected data online on the operation interface.

[0040] (6) Data such as the high-voltage bus voltage of power plant generators within the regional power grid.

[0041] (7) Operation data of SVC and other voltage and regulation equipment / devices.

[0042] (8) System frequency value.

[0043] Step 2: Collect the loads of each node in the distribution network and build a fault feature sample library based on the monitoring data in step 1.

[0044] Electricity monitoring sensors are installed at the power input control end corresponding to each power consumption area of ​​the distribution network to monitor the corresponding electricity of each power consumption area in real time, and the power supply status of each power consumption area is identified accordingly. When the power supply status of a power consumption area is off, it is determined that the power consumption area is a fault area. All data of the fault area are then analyzed.

[0045] Step 3: construct a distribution network model based on the lines, switch devices, power equipment and electrical appliances of the actual distribution network.

[0046] The identified fault characteristics are used as the input of the fault cause diagnosis model, and the identified fault cause is used as the output of the fault cause diagnosis model.

[0047] The actual input parameters of the distribution network are used as the operation input parameters of the distribution network model, and the operation status of the distribution network model is obtained. When a fault occurs in the distribution network, as much fault information as possible of the distribution network is obtained, such as fault area information, fault type information, power parameter information and fault time information, etc., and the information of the adjacent areas associated with the fault area at the same time and the power parameter information of the adjacent areas can also be included.

[0048] According to the acquired fault information of the distribution network, a plurality of simulation rules are input into the distribution network model. Each input simulation rule enables the distribution network model to present a fault simulation scheme. The fault simulation scheme information includes the fault simulation area information, fault simulation type information, simulated power parameter information, fault simulation time information, adjacent area information and adjacent area power parameter information associated with the fault simulation area in the same time generated in the distribution network model according to the fault simulation rules. After obtaining the corresponding multiple fault simulation scheme information under multiple fault simulation rules, the multiple fault simulation scheme information is matched and analyzed with the actual fault information of the distribution network, and the scheme with the highest matching degree between the fault simulation scheme information and the actual fault information is taken as the closest fault simulation scheme. The corresponding fault simulation rule in the closest fault simulation scheme contains the fault cause which is the closest possible actual fault cause, thereby quickly narrowing down or locking the possible actual fault cause.

[0049] Step 4: Locate the fault location.

[0050] Combine power grid information with geographic location, use standard electronic maps as a blueprint, and identify buildings in the map by location, block, and zone. "Fixed" by the address of a single building, "blocked" by the substation of the building, and "zoned" by the entire community, so as to facilitate the repair of the fault point. Real-time input of fault information, planned power outage information, fault power outage information and other data; on the one hand, the fault location is automatically classified as "fixed" according to geographical distribution, "blocked" according to substation distribution, and "zoned" according to community distribution; on the other hand, the lines or equipment for planned and fault power outages are classified as towers, lines, and station building equipment in the geographic map.

[0051] The fault analysis method of the present invention can confirm the actual cause of the fault through data collection and calculation, and quickly find the fault point. It has the ability to automatically check and eliminate the fault, and can be used in conjunction with existing equipment.

[0052] The above implementation cases are only preferred embodiments of the present invention and are not intended to limit the present invention in any form. Although the present invention has been disclosed as above with preferred embodiments, they are not intended to limit the present invention. Therefore, any simple modification, equivalent changes and modifications made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention shall fall within the scope of protection of the technical solution of the present invention.

Claims

1. A method for analyzing urban distribution network faults, characterized in that: The control method comprises the following steps: Step 1, monitoring the data of the distribution network; Step 2: Collect the loads of each node in the distribution network and build a fault feature sample library based on the monitoring data in step 1; Step 3: construct a distribution network model based on the lines, switch devices, power equipment and electrical appliances of the actual distribution network; Step 4: Locate the fault location.

2. The urban distribution network fault analysis method according to claim 1, characterized in that: In step 1, the current, voltage and power of nodes and branches in real-time operation of the distribution network are monitored in real time by the monitoring system.

3. The urban distribution network fault analysis method according to claim 2, characterized in that: In step 2, the monitoring data includes at least the following: (1) Transformer operating status, bus voltage on each side; tap position; power and current flowing through the transformer; switch status on each side of the transformer; bus split or bus tie switch status; (2) Switching status of capacitors and reactors; Power supply line switch status and current; (3) Switch signals related to equipment hot standby judgment; (4) Relevant protection signals that affect the switching of capacitors and reactors and the raising and lowering of transformer taps; (5) The AVC system can display the primary wiring diagram of the system and the detected data online on the operation interface; (6) High-voltage bus voltage data of power plant generators within the regional power grid; (7) Operation data of SVC and other voltage and regulation equipment / devices; (8) System frequency value.

4. The urban distribution network fault analysis method according to claim 3 is characterized in that: In the step 2, a power monitoring sensor is arranged at the power input control end corresponding to each power consumption area of ​​the distribution network to monitor the power corresponding to each power consumption area in real time, thereby identifying the power supply status of each power consumption area.

5. The urban distribution network fault analysis method according to claim 4, characterized in that: In step 3, the actual input parameters of the distribution network are used as the operation input parameters of the distribution network model, and the operation status of the distribution network model is obtained.

6. The urban distribution network fault analysis method according to claim 5, characterized in that: In step 4, the power grid information is combined with the geographical location, and a distribution network fault geographical map is formed based on a standard electronic map and combined with the geographical information of distribution network towers, lines and station equipment and line maps.