CN111209653B - Topology representation method suitable for new energy bearing capacity analysis - Google Patents
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Abstract
The invention discloses a topology representation method suitable for new energy bearing capacity analysis. The invention carries out the representation of the bearing capacity topology model by three steps of building a power grid model, building a topology model and building a backtracking model. And a bus topology model is built according to the electric island on the basis of the power grid partition model, and the calculation process of the bearing capacity of each bus is tracked rapidly through the design of a backtracking structure, so that the calculation result is checked conveniently. The invention can improve the maintainability of the bearing capacity computing system and has wide application prospect.
Description
Technical Field
The invention relates to the electric power and information technology, in particular to a topology representation method suitable for new energy bearing capacity analysis.
Background
With the rapid development of distributed new energy, the calculation of the new energy bearing capacity of the power grid is more and more important. The power grid bearing capacity calculation needs to analyze a topology model of the power grid, and the power grid bearing capacity is calculated step by step according to the topology relation. Because the power grid only needs to calculate the bearing capacity values of the transformer, the circuit and the bus when carrying out bearing capacity, the power grid model can be simplified, and meanwhile, the bearing capacity calculation needs to be capable of rapidly and definitely reflecting the topology calculation process of different buses so that the calculation result can be better checked, and the conventional topology representation method can rapidly reflect the topology level of the power grid, but is not intuitive when representing the bus topology level.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a topology representation method which can intuitively represent the calculation process of the bus bearing capacity and is suitable for new energy bearing capacity analysis, and the maintainability of the bearing capacity calculation process is improved.
The aim of the invention is achieved by the following technical scheme.
A topology representation method suitable for new energy bearing capacity analysis comprises the following steps:
1) Secondary organization is carried out on the power grid equipment according to the sequence mode of the plant stations, the voltage partitions and the equipment on the power grid model;
2) Obtaining the connection relation of each device through topology analysis;
3) And establishing a bus backtracking model according to the equipment connection relation, and intuitively representing the calculation process of the bearing capacity of each bus through the bus backtracking model.
The step 1) specifically comprises the following steps: firstly, uniformly coding different equipment types, wherein each type uniquely determines an equipment, secondly, when a voltage partition model is built, each voltage partition records the starting number of all equipment in the partition, the number of each equipment = the equipment starting number of the next voltage partition-the former voltage partition starting number, the nodes in all equipment models are recorded, two nodes are arranged on the double-port equipment, one node is arranged on the single-port equipment, meanwhile, a node model is built, the end node number is taken as an object, bus information corresponding to the node is recorded in the node model, if the node is connected with a bus, the real ID information of the bus is recorded, and if the bus is not connected, the bus is represented by-1.
The step 2) specifically comprises the following steps: according to the connection state of the switch knife switch, network topology is carried out to form a node topology analysis result, the topology analysis result comprises an electric island model, a bus model and bus information belonging to each equipment model, 220kV buses are used as topology starting points in each topology according to the calculation characteristics of the distributed new energy bearing capacity, the electric island model represents a power supply range formed by all equipment which is actually electrically connected, the electric island model of the topology records the starting number and the number of buses of each electric island topology, the bus starting number is related to the bus topology model information, the number represents the total number of buses contained in the electric island, and meanwhile, the bus number of each node is recorded according to the topology process.
The step 3) is specifically as follows: the backtracking device type and number of each device record the previous device triggering the searching of the device in the topological process, and the last device of the power grid searches backwards to establish a bus backtracking model.
Compared with the prior art, the invention has the advantages that: the invention carries out the representation of the bearing capacity topology model by three steps of building a power grid model, building a topology model and building a backtracking model. And a bus topology model is built according to the electric island on the basis of the power grid partition model, and the calculation process of the bearing capacity of each bus is tracked rapidly through the design of a backtracking structure, so that the calculation result is checked conveniently. The invention can improve the maintainability of the bearing capacity computing system and has wide application prospect.
Drawings
FIG. 1 shows a system architecture diagram of the present invention;
FIG. 2 shows a grid information model diagram of the present invention;
fig. 3 shows a network topology information representation of the present invention;
fig. 4 shows a computational flow diagram of the present invention.
Detailed Description
The invention will now be described in detail with reference to the drawings and the accompanying specific examples.
The invention designs a topology representation method suitable for new energy bearing capacity analysis, which comprises the steps of firstly carrying out secondary organization on power grid equipment according to a power grid model in a mode of station, voltage partition and equipment, obtaining the connection relation of each equipment through topology analysis on the basis, and finally establishing a bus backtracking model according to the connection relation of the equipment, wherein the calculation process of the bearing capacity of each bus can be represented in a visual way through the bus backtracking model, so that the verification and maintenance of the calculation process are facilitated.
The topology representation method suitable for new energy bearing capacity analysis mainly comprises three steps.
First, a hierarchical structure of power grid equipment is built according to power grid stations and voltage partitions, as shown in fig. 1. All the power grid devices are organized in the following way of plant stations, voltage partition and devices. First, different device types need to be coded uniformly, such as a bus bar with a device type of 1, a winding of 2, a line segment of 3, and so on. Each type uniquely identifies a device. Next, when the voltage partition model is built, each voltage partition records the starting numbers of all the devices in the partition, and the number of each device = the starting number of the device in the next voltage partition-the starting number of the previous voltage partition. The number of different devices under each partition and the initial position of the model can be conveniently calculated, and the query is convenient. Since the endpoints of the devices in the power represent the connection relationship between the devices, there are records of nodes in all the device models, two nodes for the dual port device, and one node for the single port device. Meanwhile, a node model is built, the end node number is taken as an object, bus information corresponding to the node (such as the node model in fig. 2) is recorded in the node model, if the node is connected with the bus, real ID information of the bus is recorded, and if the node is not connected with the bus, the bus is denoted by-1. After the device partition model is established, virtually all the involved devices are reorganized and ordered per partition. The devices in each partition realize centralized sequencing, so that subsequent topology searching is facilitated.
And secondly, after the equipment reordering is completed, carrying out network topology according to the connection state of the switch knife switch to form a node topology analysis result. The topology result is composed of the electric island model, the bus model and the bus information of each equipment model. Through power grid topology analysis, the connection relation between the devices can be known. According to the calculation characteristics of the bearing capacity of the distributed new energy, each topology takes a 220kV bus as a topology starting point. The electric island means a power supply range formed by all devices which are actually electrically connected. The topological electric island model mainly records the bus starting number and the bus number (such as the electric island model in fig. 2) of each electric island topology, wherein the bus starting number is related to bus topology model information, and the number represents the bus number contained in the electric islands. And simultaneously, according to the topology process, the bus number of each node (such as bus number information in each type of equipment model in fig. 2) is recorded. Since all devices of the grid are connected to the corresponding bus (virtual bus is included, virtual bus means that there is no actual bus, but there is a node where multiple devices are pooled, virtual bus is set for such a node, such as a T-wire in the grid, so that all devices will not be empty. Through the second step, the number of the electric islands in the system can be clearly known, each electric island comprises a number of buses, and bus information of all equipment connected with the electric islands is recorded.
And thirdly, establishing a bus backtracking model. Since the load-bearing capability calculations are related to the depth of each path in the topology, it is necessary to trace back from the low voltage level up to the power point. The corresponding connection bus of each device can be conveniently known according to the two steps, but the depth information of each path is required to be acquired, and one process is also required. For this purpose, trace-back information of the devices, such as trace-back device type and number of each device in fig. 2, is designed, and the two information records the previous device triggering the search of the device in the topology process. In actual operation, the last device of the power grid searches backwards, such as device {1,1}, identifies the backward topology of the device with device type 1 and serial number 1, the subsequent topology device comprises {2,1}, {3,2}, the device {1,1} is connected with the device {2,1}, {3,2}, and {1,1} is recorded in the backtracking device of the device {2,1}, {3,2}, so that backtracking record information can be formed. Since the distribution network generally operates radially, there is typically only one trace-back device. Even if two paths occur, the bearing capacity calculation is only related to any path calculation, so that only the previous node which is topologically arrived first is required to be recorded. In this way, the calculation process for each busbar can be very conveniently traced back.
For example, in fig. 2, the trace-back device of the bus 0 is {2,1}, which indicates that the trace-back device is a device with a device type of 2 and a serial number of 1; and then in the equipment 2 model, the equipment with the sequence number 1 is found, the trace back equipment is {2,2}, the former equipment can be inquired to be the equipment with the sequence number 2 in the equipment 2, and the like, the whole topological path can be traced back very conveniently, and the calculation process of the whole path can be checked very conveniently. As shown in fig. 3, the backtracking path may query the bearing capacity value and the threshold value of each device, where the bearing capacity value is the calculation result of each device, and the threshold value is the basis for judgment. According to the logic of the bearing capacity check, the bearing capacity of the next stage cannot be larger than that of the previous stage equipment, so that data check can be very easily performed.
Claims (1)
1. The topology representation method suitable for new energy bearing capacity analysis is characterized by comprising the following steps:
1) Secondary organization is carried out on the power grid equipment according to the sequence mode of the plant stations, the voltage partitions and the equipment on the power grid model;
2) Obtaining the connection relation of each device through topology analysis;
3) Establishing a bus backtracking model according to the equipment connection relation, and intuitively representing the calculation process of the bearing capacity of each bus through the bus backtracking model;
the step 1) specifically comprises the following steps: firstly, uniformly coding different equipment types, wherein each type uniquely determines an equipment, secondly, when a voltage partition model is built, each voltage partition records the starting number of all equipment in the partition, the number of each equipment = the equipment starting number of the next voltage partition-the former voltage partition starting number, the nodes in all equipment models are recorded, two nodes are arranged on the double-port equipment, one node is arranged on the single-port equipment, meanwhile, a node model is built, the end node number is taken as an object, bus information corresponding to the node is recorded in the node model, if the node is connected with a bus, the real ID information of the bus is recorded, and if the bus is not connected, the bus is represented by-1;
the step 2) specifically comprises the following steps: according to the connection state of a switch knife switch, network topology is carried out to form a node topology analysis result, the topology analysis result comprises an electric island model, a bus model and bus information belonging to each equipment model, 220kV buses are used as topology starting points in each topology according to the calculation characteristics of the distributed new energy bearing capacity, the electric island model represents a power supply range formed by all equipment which is actually electrically connected, the electric island model of the topology records the starting number and the number of buses of each electric island topology, the bus starting number is related to the bus topology model information, the number represents the total number of buses contained in the electric island, and meanwhile, the bus number of each node is recorded according to the topology process;
the step 3) is specifically as follows: the backtracking device type and number of each device record the previous device triggering the searching of the device in the topological process, and the last device of the power grid searches backwards to establish a bus backtracking model.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102243676A (en) * | 2011-07-13 | 2011-11-16 | 国电南瑞科技股份有限公司 | Three-level modeling method of new energy comprehensive monitoring system |
CN103605852A (en) * | 2013-11-25 | 2014-02-26 | 国家电网公司 | Parallel topology method for electromechanical transient real-time simulation for large-scale power network |
CN104156835A (en) * | 2014-09-04 | 2014-11-19 | 国家电网公司 | Wide-area distributed integrated topology analysis method for large power grid |
-
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- 2019-12-27 CN CN201911377622.5A patent/CN111209653B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102243676A (en) * | 2011-07-13 | 2011-11-16 | 国电南瑞科技股份有限公司 | Three-level modeling method of new energy comprehensive monitoring system |
CN103605852A (en) * | 2013-11-25 | 2014-02-26 | 国家电网公司 | Parallel topology method for electromechanical transient real-time simulation for large-scale power network |
CN104156835A (en) * | 2014-09-04 | 2014-11-19 | 国家电网公司 | Wide-area distributed integrated topology analysis method for large power grid |
Non-Patent Citations (4)
Title |
---|
吴文传,张伯明.基于图形数据库的网络拓扑及其应用.电网技术.2002,(02),全文. * |
孔永超.基于CIM的数据存储模型设计和实现.《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》.2015,(第5期),第32-47页. * |
王元驰 ; 肖先勇 ; 邓武军 ; .一种基于邻接关系和广度优先搜索的网络拓扑分析方法.四川电力技术.2007,(02),全文. * |
蔡丽娟,张建成.面向对象技术的电力网络拓扑分析.电气时代.2004,(04),全文. * |
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