Intelligent feeder optimization system and method for power distribution network

Abstract

The invention relates to the technical field of power distribution network intelligent feeder lines, in particular to a power distribution network intelligent feeder line optimization system and method.The power distribution network intelligent feeder line optimization system comprises a power distribution master station, the output end of the power distribution master station is connected with a plurality of power distribution nodes through API ports, and the output ends of the power distribution nodes are connected with a plurality of power distribution substations through API ports; the power distribution substation comprises a data acquisition system, an equipment management system and a monitoring response system; wherein the data acquisition system is used for acquiring all power equipment data contained in the power distribution substation. The power distribution station in the power distribution network is divided to form a plurality of power distribution master stations, each group of power distribution master stations is connected with a plurality of power distribution nodes, and each group of power distribution nodes is connected with a plurality of power distribution substations, so that a decentralization effect is achieved; and the workload demand of the distribution master station is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent feeder lines in distribution networks, and in particular to an optimization system and method for intelligent feeder lines in distribution networks. Background Art

[0002] With the continuous development of the economy and the increasing demand for electricity, the traditional feeder management method can no longer meet the needs of modern power systems. In particular, when faced with the complexity and variability of new loads, the traditional feeder management method seems to be unable to cope with it. Therefore, in the new round of smart grid construction, the establishment of an intelligent feeder optimization management system has become a difficult problem that the power system needs to solve urgently. Intelligent feeder optimization can achieve comprehensive monitoring and early warning of the power system, timely discover hidden dangers and faults, avoid accidents, and thus improve the reliability and stability of power supply.

[0003] Intelligent feeder optimization of distribution network is an important means to improve the reliability and operation efficiency of power system. By optimizing communication system, FTU equipment, fault adaptive processing strategy and network reconstruction strategy, intelligent management and optimization control of feeders can be achieved;

[0004] Intelligent feeder optimization technology relies on communication networks for data transmission and command issuance. Once the communication network fails or becomes unstable, it may affect the effect and reliability of intelligent feeder optimization. The existing distribution network intelligent feeder optimization system mostly adopts network hierarchical control, that is, a central controller is used to coordinate the management of different distribution substations. Once the communication network fails, it will affect the normal operation of the distribution network feeder. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a distribution network intelligent feeder optimization system and method.

[0006] In order to achieve the above-mentioned object, the present invention adopts the following technical scheme: a distribution network intelligent feeder optimization system, comprising a distribution master station, wherein the output end of the distribution master station is connected to a plurality of distribution nodes through an API port, and the output end of the distribution node is connected to a plurality of distribution substations through an API port;

[0007] The distribution substation includes a data acquisition system, an equipment management system and a monitoring response system;

[0008] Wherein, the data acquisition system is used to collect data of all power equipment included in the power distribution substation;

[0009] The equipment management system is used to manage the power equipment of the distribution substation to ensure the normal operation of the power equipment;

[0010] The monitoring and response system is used to monitor the power equipment in real time and respond promptly according to the monitoring results to solve some problems;

[0011] The output end of the power distribution master station is connected to a database management system, a command issuing center and a power market trading center through an API port;

[0012] The database management system is used to search and update all data of power equipment and provide basic data storage and processing required by the distribution network;

[0013] The command issuing center is used to issue instructions to distribution nodes, power market trading center and database management system to complete different tasks.

[0014] Preferably, the database management system includes a real-time database and a historical database;

[0015] Wherein, the real-time database is used to store the latest real-time data obtained from the power distribution node;

[0016] The historical database is used to store basic data about the construction and configuration of the distribution network in the distribution master station, and provide raw data for all calculation processes.

[0017] Preferably, the power distribution node includes a control system, a network management system, a graphic management system and a remote monitoring module;

[0018] Wherein, the control system is used to dynamically configure the control circuit transmission route according to the power supply and power consumption demand;

[0019] The network management system is used to receive and send network information to the distribution network system and realize the communication work of each distribution node;

[0020] The graphics management system is used to manage line graphics in the distribution network;

[0021] The remote monitoring module is used to remotely monitor the equipment information of the distribution substation of the distribution node to which it belongs.

[0022] Preferably, the control system includes a controllable load adjustment module, a load calculation module and a power supply adjustment module;

[0023] The controllable load adjustment module is used to adjust the controllable load according to the power supply situation so that the power supply situation is compatible with the load power consumption situation;

[0024] The load calculation module calculates the load by combining the data collected by the data acquisition system with the loads of other distribution nodes;

[0025] The power supply adjustment module adjusts the power supply according to the load calculation value and the power supply value so that the power supply meets the load demand.

[0026] Preferably, the network management system includes a data access interface, a data encryption module and a feedback module;

[0027] Wherein, the data access interface is used for communication between various processes;

[0028] The data encryption module is used to encrypt the communication work between processes and encrypt the transmission data;

[0029] The feedback module is used to obtain feedback information from the power distribution substation and feed back part of the data information to the power distribution master station.

[0030] Preferably, the graphic management system includes a topology drawing module, a graphic storage module and a graphic editing module;

[0031] The topology drawing module is used to automatically draw a topology map according to the circuit diagram drawn by the staff, and form a topology relationship library;

[0032] The graphic storage module is used to store circuit diagrams, topological diagrams, curve diagrams and various power application diagrams;

[0033] The graphic editing module is used to integrate corresponding device data and supplement blank data.

[0034] Preferably, the data acquisition system includes a GPS positioning module, a data acquisition module, a data analysis module and an information acquisition module;

[0035] Wherein, the information acquisition module is used to obtain data information of the current distribution substation;

[0036] The data acquisition module collects relevant data information of the current distribution substation through the acquisition device;

[0037] The data analysis module is used to analyze the data information obtained by the information acquisition module and the data collection module;

[0038] The GPS positioning module is used to locate the current location of the distribution substation and to upload the positioning information in cooperation with the network management system when necessary.

[0039] Preferably, the equipment management system includes a fault detection module, an equipment testing module and a feeder control module;

[0040] Wherein, the fault detection module is used to perform fault detection on the intelligent power equipment in the current distribution substation;

[0041] The equipment testing module is used to test the intelligent power equipment in the current distribution substation;

[0042] The feeder control module is used to control the fault information in the current distribution substation and upload feedback data in time if there is a fault in the line.

[0043] Preferably, the monitoring response system includes a self-isolation module, an alarm module, a fault repair module and a power supply recovery module;

[0044] Wherein, the self-isolation module is used to isolate the faulty line;

[0045] The alarm module is used to sound an alarm to remind staff to handle it in time;

[0046] The fault repair module is used to power off and restart the device to perform real-time repair;

[0047] The power supply recovery module is used to restore the normal line power supply to ensure the normal operation of the line.

[0048] The present invention also provides a distribution network intelligent feeder optimization method, comprising the following steps:

[0049] S1. System construction: Divide the distribution stations in the distribution network into multiple distribution master stations. Each group of distribution master stations is connected to multiple distribution nodes, and each group of distribution nodes is connected to multiple distribution substations.

[0050] S2. Data transmission: Data transmission is realized between distribution nodes through the network management system, and data transmission is realized between distribution master stations through the network management system;

[0051] S3, Feeder monitoring: The distribution substation can independently monitor the equipment line, process the monitoring results by itself, and upload the data information to the distribution node. The distribution node can remotely obtain the detailed information of the distribution substation;

[0052] S4. Power control: Power control is carried out within each group of distribution nodes. If the control of the distribution nodes in this group is not satisfactory, secondary distribution can be carried out through the distribution master station to achieve supply and demand balance.

[0053] The present invention has the following beneficial effects:

[0054] The intelligent feeder optimization system and method of the distribution network designed by the present invention divides the distribution stations in the distribution network to form multiple distribution master stations. Each group of distribution master stations is connected to multiple distribution nodes respectively, and each group of distribution nodes is connected to multiple distribution sub-stations respectively, so as to achieve the effect of decentralization. Since each distribution sub-station can independently perform feeder operations, the workload demand of the distribution master station is reduced. Even if a network failure occurs, the entire distribution network will not be paralyzed. The failure problem can be solved through other communication routes to ensure normal power supply. In addition, the distribution nodes and the distribution master stations can directly use the data information in the database management system, so as to realize the power control within the group according to the data, and perform as few remote power control measures as possible.

[0055] A distribution network intelligent feeder optimization system and method designed by the present invention can realize data collection, equipment management and response work through the distribution substation under the coordinated action of the data collection system, the equipment management system and the monitoring and response system. When a line fault occurs, the faulty line is self-isolated at the first time under the action of the self-isolation module. After the line is isolated, the power supply is restored to the line that can be energized normally, and an alarm is promptly issued through the alarm module to remind the staff to handle it in time, thereby improving the fault handling efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic diagram of the overall modular structure of the present invention;

[0057] Figure 2 It is a schematic diagram of the modular structure of the power distribution node of the present invention;

[0058] Figure 3 It is a schematic diagram of the modular structure of the distribution substation of the present invention;

[0059] Figure 4 It is a schematic diagram of the modular structure of the database management system of the present invention;

[0060] Figure 5 It is a schematic diagram of the modular structure of the power distribution master station of the present invention.

[0061] In the figure: 1. Power distribution main station; 2. Power distribution node; 201. Control system; 202. Controllable load adjustment module; 203. Load calculation module; 204. Power supply adjustment module; 205. Remote monitoring module; 206. Network management system; 207. Data access interface; 208. Data encryption module; 209. Feedback module; 210. Graphic management system; 211. Topology drawing module; 212. Graphic storage module; 213. Graphic editing module; 3. Power distribution substation; 301. Data acquisition system; 302, GPS positioning module; 303, data acquisition module; 304, data analysis module; 305, information acquisition module; 306, equipment management system; 307, fault detection module; 308, equipment testing module; 309, feeder control module; 310, monitoring response system; 311, self-isolation module; 312, alarm module; 313, fault repair module; 314, power supply restoration module; 4, database management system; 5, command issuing center; 6, power market trading center. DETAILED DESCRIPTION

[0062] Reference Figure 1-5 , the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] The present invention provides a technical solution:

[0064] See also Figure 1 , Figure 4 and Figure 5 , a distribution network intelligent feeder optimization system, comprising a distribution master station 1, the output end of the distribution master station 1 is connected to a plurality of distribution nodes 2 through an API port, and the output end of the distribution node 2 is connected to a plurality of distribution substations 3 through an API port;

[0065] The distribution substation 3 includes a data acquisition system 301, an equipment management system 306 and a monitoring response system 310;

[0066] The data acquisition system 301 is used to collect data of all power equipment included in the power distribution substation 3;

[0067] The equipment management system 306 is used to manage the power equipment of the power distribution substation 3 to ensure the normal operation of the power equipment;

[0068] The monitoring response system 310 is used to monitor the power equipment in real time and respond immediately according to the monitoring results to solve some problems;

[0069] The output end of the power distribution master station 1 is connected to a database management system 4, a command issuing center 5 and a power market trading center 6 through an API port;

[0070] Among them, the database management system 4 is used to search and update all data of power equipment and provide basic data storage and processing required by the distribution network;

[0071] The command issuing center 5 is used to issue instructions to the power distribution node 2, the power market trading center 6 and the database management system 4 to complete different tasks;

[0072] The database management system 4 includes a real-time database and a historical database;

[0073] The real-time database is used to store the latest real-time data obtained from the power distribution node 2;

[0074] The historical database is used to store basic data about the construction and configuration of the distribution network in the distribution master station 1, and provide original data for all calculation processes.

[0075] By adopting the above technical solution, the distribution stations in the distribution network are divided to form multiple distribution master stations 1. Each group of distribution master stations 1 is connected to multiple distribution nodes 2 respectively, and each group of distribution nodes 2 is connected to multiple distribution sub-stations 3 respectively, so as to achieve the effect of decentralization. Since each distribution sub-station 3 can independently perform feeder operations, the workload demand of the distribution master station 1 is reduced. Even if a network failure occurs, the entire distribution network will not be paralyzed. The failure problem can be solved through other communication routes to ensure normal power supply. In addition, the distribution nodes 2 and the distribution master stations 1 can directly use the data information in the database management system 4, so as to realize power control within the group according to the data, and perform as few long-distance power control measures as possible.

[0076] Specifically, Figure 2 As shown, the power distribution node 2 includes a control system 201, a network management system 206, a graphic management system 210 and a remote monitoring module 205;

[0077] Among them, the control system 201 is used to dynamically configure the control circuit transmission route according to the power supply and power demand;

[0078] The network management system 206 is used to receive and send network information to the distribution network system and realize the communication work of each distribution node 2;

[0079] The graphics management system 210 is used to manage the line graphics in the distribution network;

[0080] The remote monitoring module 205 is used to remotely monitor the equipment information of the distribution substation 3 of the distribution node 2 .

[0081] The control system 201 includes a controllable load adjustment module 202, a load calculation module 203 and a power supply adjustment module 204;

[0082] The controllable load adjustment module 202 is used to adjust the controllable load according to the power supply situation so that the power supply situation is compatible with the load power consumption situation;

[0083] The load calculation module 203 calculates the load quantity by combining the data collected by the data collection system 301 with the load quantities of other distribution nodes 2;

[0084] The power supply adjustment module 204 adjusts the power supply according to the load calculation value and the power supply value so that the power supply meets the load demand.

[0085] The network management system 206 includes a data access interface 207, a data encryption module 208 and a feedback module 209;

[0086] Among them, the data access interface 207 is used for communication between various processes;

[0087] The data encryption module 208 is used to encrypt the communication work between processes and encrypt the transmission data;

[0088] The feedback module 209 is used to obtain feedback information from the power distribution substation 3 and feed back part of the data information to the power distribution master station 1 .

[0089] The graphic management system 210 includes a topology drawing module 211, a graphic storage module 212 and a graphic editing module 213;

[0090] The topology drawing module 211 is used to automatically draw a topology map according to the circuit diagram drawn by the staff, and form a topology relationship library;

[0091] The graphic storage module 212 is used to store circuit diagrams, topological diagrams, curve diagrams, and various power application diagrams;

[0092] The graphic editing module 213 is used to integrate the corresponding device data and supplement the blank data.

[0093] By adopting the above technical solution, the control system 201, network management system 206, graphic management system 210 and remote monitoring module 205 in the distribution node 2 can realize the data information of the distribution substation 3 in the group of distribution nodes 2, and upload the data to the distribution master station 1 through the network management system 206 after integration. The distribution nodes 2 can communicate with each other, which greatly reduces the data collection time required for scheduling. At the same time, the distribution node 2 can perform internal control on the distribution substation 3 to reduce the workload of the distribution master station 1 and improve work efficiency.

[0094] Specifically, Figure 3 As shown, the data acquisition system 301 includes a GPS positioning module 302, a data acquisition module 303, a data analysis module 304 and an information acquisition module 305;

[0095] The information acquisition module 305 is used to obtain data information of the current distribution substation 3;

[0096] The data collection module 303 collects relevant data information of the current distribution substation 3 through a collection device;

[0097] The data analysis module 304 is used to analyze the data information obtained by the information acquisition module 305 and the data collection module 303;

[0098] The GPS positioning module 302 is used to locate the current location of the distribution substation 3 and to upload the positioning information in cooperation with the network management system 206 when necessary.

[0099] The equipment management system 306 includes a fault detection module 307, an equipment testing module 308 and a feeder control module 309;

[0100] Among them, the fault detection module 307 is used to perform fault detection on the intelligent power equipment in the current power distribution substation 3;

[0101] The equipment testing module 308 is used to test the smart power equipment in the current power distribution substation 3;

[0102] The feeder control module 309 is used to control the fault information in the current distribution substation 3 and upload feedback data in time if there is a fault in the line.

[0103] The monitoring response system 310 includes a self-isolation module 311, an alarm module 312, a fault repair module 313 and a power recovery module 314;

[0104] Wherein, the self-isolation module 311 is used to isolate the faulty line;

[0105] The alarm module 312 is used to send out an alarm to remind the staff to handle it in time;

[0106] The fault repair module 313 is used to power off and restart the device to repair it in real time;

[0107] The power supply recovery module 314 is used to recover the normal line power supply to ensure the normal operation of the line.

[0108] By adopting the above technical solution, the distribution substation 3 can realize data collection, equipment management and response work under the coordinated action of the data acquisition system 301, the equipment management system 306 and the monitoring and response system 310. When a line fault occurs, the faulty line is self-isolated at the first time under the action of the self-isolation module 311. After the line is isolated, the power supply is restored to the line that can be energized normally, and an alarm is promptly issued through the alarm module 312 to remind the staff to deal with it in time, thereby improving the efficiency of fault handling.

[0109] The present invention provides a technical solution:

[0110] See also Figure 1 , a distribution network intelligent feeder optimization method, comprising the following steps:

[0111] S1. System construction: Divide the distribution stations in the distribution network into multiple distribution master stations 1, each group of distribution master stations 1 is connected to multiple distribution nodes 2, and each group of distribution nodes 2 is connected to multiple distribution substations 3;

[0112] S2, data transmission: data transmission is realized between the distribution nodes 2 through the network management system 206, and data transmission is realized between the distribution master stations 1 through the network management system 206;

[0113] S3, feeder monitoring: the distribution substation 3 can independently monitor the equipment line, process the monitoring results by itself, and upload the data information to the distribution node 2. The distribution node 2 can remotely obtain the detailed information of the distribution substation 3;

[0114] S4. Power control: Power control is performed within each group of distribution nodes 2. If the control of the distribution nodes 2 in this group is not satisfactory, secondary distribution can be performed through the distribution master station 1 to achieve supply and demand balance.

[0115] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A distribution network intelligent feeder optimization system, characterized in that: It comprises a power distribution master station (1), wherein the output end of the power distribution master station (1) is connected to a plurality of power distribution nodes (2) via an API port, and the output end of the power distribution node (2) is connected to a plurality of power distribution substations (3) via an API port; The power distribution substation (3) comprises a data acquisition system (301), an equipment management system (306) and a monitoring response system (310); Wherein, the data acquisition system (301) is used to collect data of all electric power equipment included in the power distribution substation (3); The equipment management system (306) is used to manage the power equipment of the power distribution substation (3) to ensure the normal operation of the power equipment; The monitoring response system (310) is used to monitor the power equipment in real time and respond immediately according to the monitoring results to solve some problems; The output end of the power distribution master station (1) is connected to a database management system (4), a command issuing center (5) and a power market trading center (6) via an API port; The database management system (4) is used to search and update all data of power equipment and provide basic data storage and processing required by the distribution network; The command issuing center (5) is used to issue instructions to the power distribution node (2), the power market trading center (6) and the database management system (4) to complete different tasks.

2. A distribution network intelligent feeder optimization system according to claim 1, characterized in that: The database management system (4) includes a real-time database and a historical database; Wherein, the real-time database is used to store the latest real-time data obtained from the power distribution node (2); The historical database is used to store basic data on the construction and configuration of the power distribution network in the power distribution master station (1) and to provide raw data for all calculation processes.

3. A distribution network intelligent feeder optimization system according to claim 1, characterized in that: The power distribution node (2) comprises a control system (201), a network management system (206), a graphic management system (210) and a remote monitoring module (205); Wherein, the control system (201) is used to dynamically configure the control circuit transmission route according to power supply and power consumption demand; The network management system (206) is used to receive and send network information to the power distribution network system, and realize the communication work of each power distribution node (2); The graphic management system (210) is used to manage line graphics in the distribution network; The remote monitoring module (205) is used to remotely monitor the equipment information of the distribution substation (3) of the distribution node (2).

4. A distribution network intelligent feeder optimization system according to claim 3, characterized in that: The control system (201) comprises a controllable load adjustment module (202), a load calculation module (203) and a power supply adjustment module (204); The controllable load adjustment module (202) is used to adjust the controllable load according to the power supply situation, so that the power supply situation is compatible with the load power consumption situation; The load calculation module (203) calculates the load amount by combining the data collected by the data collection system (301) with the load amounts of other distribution nodes (2); The power supply adjustment module (204) adjusts the power supply according to the load calculation value and the power supply value so that the power supply meets the load demand.

5. A distribution network intelligent feeder optimization system according to claim 4, characterized in that: The network management system (206) includes a data access interface (207), a data encryption module (208) and a feedback module (209); Wherein, the data access interface (207) is used for communication between various processes; The data encryption module (208) is used to encrypt the communication work between processes and encrypt the transmission data; The feedback module (209) is used to obtain feedback information from the power distribution substation (3), and to feed back part of the data information to the power distribution master station (1).

6. A distribution network intelligent feeder optimization system according to claim 5, characterized in that: The graphic management system (210) comprises a topology drawing module (211), a graphic storage module (212) and a graphic editing module (213); The topology drawing module (211) is used to automatically draw a topology map according to the circuit diagram drawn by the staff, and form a topology relationship library; The graphic storage module (212) is used to store circuit diagrams, topological diagrams, curve diagrams and various power application diagrams; The graphic editing module (213) is used to integrate corresponding device data and supplement blank data.

7. A distribution network intelligent feeder optimization system according to claim 6, characterized in that: The data acquisition system (301) comprises a GPS positioning module (302), a data acquisition module (303), a data analysis module (304) and an information acquisition module (305); Wherein, the information acquisition module (305) is used to acquire data information of the current power distribution substation (3); The data collection module (303) collects relevant data information of the current power distribution substation (3) through a collection device; The data analysis module (304) is used to analyze the data information obtained by the information acquisition module (305) and the data collection module (303); The GPS positioning module (302) is used to locate the current location of the power distribution substation (3), and to upload the positioning information in cooperation with the network management system (206) when necessary.

8. A distribution network intelligent feeder optimization system according to claim 7, characterized in that: The equipment management system (306) includes a fault detection module (307), an equipment testing module (308) and a feeder control module (309); Wherein, the fault detection module (307) is used to perform fault detection on the intelligent power equipment in the current power distribution substation (3); The equipment testing module (308) is used to test the intelligent power equipment in the current power distribution substation (3); The feeder control module (309) is used to control the fault information in the current power distribution substation (3) and upload feedback data in a timely manner if a fault occurs in the line.

9. A distribution network intelligent feeder optimization system according to claim 8, characterized in that: The monitoring response system (310) comprises a self-isolation module (311), an alarm module (312), a fault repair module (313) and a power supply recovery module (314); Wherein, the self-isolation module (311) is used to isolate the faulty line; The alarm module (312) is used to send out an alarm to remind the staff to handle the problem in time; The fault repair module (313) is used to power off and restart the device to perform real-time repair; The power supply recovery module (314) is used to restore normal line power supply to ensure normal operation of the line.

10. A distribution network intelligent feeder optimization method, characterized in that it includes the following steps: S1. System construction: the distribution stations in the distribution network are divided into a plurality of distribution master stations (1), each group of distribution master stations (1) is respectively connected to a plurality of distribution nodes (2), and each group of distribution nodes (2) is respectively connected to a plurality of distribution substations (3); S2, data transmission: data transmission is realized between the power distribution nodes (2) through the network management system (206), and data transmission is realized between the power distribution master stations (1) through the network management system (206); S3, feeder monitoring: the distribution substation (3) can independently monitor the equipment line, process the monitoring results by itself, and upload the data information to the distribution node (2). The distribution node (2) can remotely obtain detailed information of the distribution substation (3); S4. Power control: Power control is performed within each group of distribution nodes (2). If the control of the group of distribution nodes (2) is not satisfactory, secondary distribution can be performed through the distribution master station (1) to achieve supply and demand balance.

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