CN202004534U - Power grid risk monitoring system - Google Patents

Abstract

The embodiment of the utility model provides a power grid risk monitoring system, including: a substation, a remote measurement and control terminal RTU, a risk detection server and a risk monitoring server, the RTU is connected to the sensor in the substation; the RTU Connected to the risk detection server through the signal transmission network; The risk detection server is connected to the risk monitoring server; The RTU collects the electric power of the corresponding power device in the substation through the sensor signal, and convert the electrical signal into a digital signal for output; the risk detection server receives the digital signal, and outputs a digital signal exceeding a predetermined threshold as a risk signal. It realizes real-time assessment and grading of risks according to real-time changes in power grid operation status, timely implementation of risk pre-control measures, lowering risk levels, preventing risks from turning into accidents, reducing losses, and improving power supply safety and reliability.

Description

A power grid risk monitoring system

technical field

The utility model relates to a risk monitoring technology, in particular to a risk monitoring technology of an electric power system, specifically a power grid risk monitoring system.

Background technique

Risks exist in every business activity in all walks of life, so risk monitoring is getting more and more attention from different industries. In the power system, under the overall development goal of the smart grid, higher requirements are put forward for the safe operation of the power grid, and it is urgent to apply risk monitoring to the power industry. However, in the prior art, only the safety production risk management system established by the China Southern Power Grid is in place, and the application of the risk monitoring system based on the production and business systems of the existing power grid in the power industry is still blank. The safety production risk management system established by China Southern Power Grid is mainly based on 9 management units, 51 management elements, 159 management nodes and 480 management sub-standards in the "Southern Power Grid Safety Production Risk Management System", of which nine sub-modules They are safety management, risk assessment and control, emergency and accident handling, operating environment, production tools, production monitoring, occupational health, ability requirements and training, inspection and audit items. The safety production risk management system of China Southern Power Grid mainly has the following two deficiencies:

(1) The system mainly reorganizes, merges and systemizes some traditional management methods and standards. The work of maintenance and inquiry has transitioned from extensive management to process-based management and standardized work, but most of the risk management methods maintain the original approach.

(2) The system has not established a targeted and operable risk classification principle, so the risk analysis and pre-control of the system are still carried out from the existing management system, methods, production technology, process and other links, which will affect The desired effect of risk management.

Utility model content

The embodiment of the utility model provides a power grid risk monitoring system, which realizes the real-time reflection of the risk changes in the power grid operation process, implements the corresponding risk pre-control measures in time, reduces the risk level to an acceptable level, and prevents the risk from turning into an accident , reduce losses, and improve the safety and reliability of power supply.

The purpose of this utility model is to provide a power grid risk monitoring system. The power grid risk monitoring system includes: a substation, a remote measurement and control terminal RTU, a risk detection server and a risk monitoring server. The RTU and the substation in the The sensor is connected; the RTU is connected with the risk detection server through the signal transmission network; the risk detection server is connected with the risk monitoring server; the RTU is connected with the risk detection server through the sensor Collect the electrical signals of the corresponding power devices in the substation, and convert the electrical signals into digital signals for output; the risk detection server receives the digital signals, and outputs digital signals exceeding a predetermined threshold as risk signals The risk monitoring server includes: a risk level output device, connected to the risk detection server, generating risk level information of the risk signal according to a preset risk matrix, and outputting the risk level information; The pre-control measure output device is connected to the risk level output device, generates the pre-control measure information corresponding to the risk signal according to the preset risk bow tie and the risk level information, and outputs the pre-control measure information.

Preferably, the pre-control measure output device includes: a signal output device, connected to the risk level output device, outputting a risk signal that is not a low risk in the risk level information; a determination device, connected to the The signal output device is connected to output the pre-control measure information corresponding to the risk signal output by the signal output device according to the preset risk bow tie.

Preferably, the power grid risk monitoring system further includes: a power transmission line, the inductor in the power transmission line is connected to the RTU, and is used to output electrical signals of power devices on the power transmission line.

Preferably, the risk monitoring server further includes: a risk report output device, connected to the pre-control measure output device, and generating a risk report according to the risk signal and corresponding pre-control measure information.

Preferably, the risk monitoring server further includes: a risk early warning output device connected to the pre-control measure output device to generate a risk early warning report according to the risk signal and the corresponding risk level.

The beneficial effect of the utility model is that by identifying and analyzing the signals of the substation and the power transmission line collected in real time during the operation of the power grid, the risk level of the signal is determined and the corresponding pre-control measures are determined, and the real-time situation of the power grid operation status is realized. Changes, real-time assessment and grading of risks, timely implementation of risk pre-control measures, to prevent risks from turning into accidents, and realize the full controllability of power grid operation, improve work efficiency, reduce system maintenance costs, and reduce losses. Improve the safety and reliability of power supply.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description These are only some embodiments of the utility model, and those skilled in the art can also obtain other drawings according to these drawings without any creative effort.

Fig. 1 is the structural block diagram of the power grid risk monitoring system of the utility model embodiment;

Fig. 2 is the schematic circuit diagram of the inductor of the utility model embodiment;

Fig. 3 is the structural block diagram of the RTU in the utility model embodiment;

Fig. 4 is another structural block diagram of the power grid risk monitoring system in the embodiment of the present invention.

FIG. 5 is a structural block diagram of Embodiment 1 of the risk monitoring server of the embodiment of the present invention;

Fig. 6 is a structural block diagram of the second implementation mode of the risk monitoring server in the embodiment of the present invention;

Fig. 7 is a structural block diagram of the third implementation mode of the risk monitoring server in the embodiment of the present invention;

FIG. 8 is a structural block diagram of Embodiment 4 of the risk monitoring server of the embodiment of the present invention;

Fig. 9 is the model figure of the risk bow tie of the utility model embodiment;

Fig. 10 is a risk bow-tie model diagram of an abnormal state of the transformer in the embodiment of the present invention;

Fig. 11 is a curve diagram of risk matrix index distribution curve of abnormal state of transformer in the embodiment of the present utility model.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying 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 them. example. Based on the embodiments of the present utility model, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present utility model.

Power grid risk is a general term, which refers to potential hidden dangers to the safe and stable operation of the power grid due to changes in the operation mode of the power grid, defects in the power system itself, lax monitoring, or low quality of personnel. Risks are hidden safety hazards that have not yet caused safety accidents, and appropriate pre-control measures must be taken to prevent accidents from happening. Once a power grid safety accident occurs due to improper risk pre-control measures or other reasons, it is necessary to start the fault handling process to quickly eliminate the impact of the accident and restore the power grid to a safe operation mode.

Fig. 1 is a structural block diagram of a power grid risk monitoring system according to an embodiment of the present invention. As can be seen from Fig. 1 , the power grid risk monitoring system specifically includes: a substation 101a, a substation 101b, RTU10a, RTU10b, a risk detection server 20 and a risk monitoring server 30,

The RTU10a is connected with the inductor in the substation 101a;

The RTU10b is connected with the inductor in the substation 101b;

The power devices in the substation include: transformers, circuit breakers, isolating switches, reactors, capacitors, DC systems, lightning arresters, etc., and each power device includes an inductor. Fig. 2 is a schematic circuit diagram of the inductor in the substation according to the embodiment of the utility model. In the utility model, the inductor includes a transformer and a sensor, and according to different types of electrical signals, the electrical signals are collected through different inductors.

Described RTU is connected with described risk detection server 20 by signal transmission network;

The risk detection server 20 is connected with the risk monitoring server 30;

The RTU collects electrical signals of corresponding power devices in the substation through the sensors, and converts the electrical signals into digital signals for output. After the RTU collects the electrical signal, it converts the electrical signal into a digital signal and transmits it through an optical cable or wirelessly. The electrical signals here mainly include the following three types: grid signals, equipment signals, and behavior signals. Fig. 3 is the block diagram of the structure of the RTU in the embodiment of the utility model, as can be seen from Fig. 3, the RTU in the embodiment of the utility model mainly consists of 80C196KB single-chip microcomputer, program memory (EPROM), nonvolatile data memory (NVRAM), calendar clock , keyboard display circuit, watchdog and reset circuit, RS-232C standard serial interface, wireless communication module, multi-channel switch, parallel interface, etc., can simultaneously collect electrical signals of multiple branches.

The risk detection server 20 receives the digital signal, and outputs a digital signal exceeding a predetermined threshold as a risk signal.

The risk monitoring server 30 outputs the risk level information of the risk signal and the corresponding pre-control measure information according to the preset risk matrix and risk bow tie.

Fig. 4 is another structural block diagram of the power grid risk monitoring system in the embodiment of the utility model. It can be seen from Fig. 4 that the power grid risk monitoring system specifically includes: substation 101, transmission line 102, RTU10a, RTU10b, risk detection server 20 and risk monitoring server 30,

The RTU10a is connected with the inductor in the substation 101;

The RTU10b is connected with the inductor in the transmission line 102;

The power devices in the substation 101 include: transformers, circuit breakers, isolating switches, reactors, capacitors, DC systems, lightning arresters and the like. The power devices in the transmission line 102 include: towers, ground wires, fittings, insulators, pull wires, grounding devices, and the like. Inductors are included in every electrical device. Fig. 2 is a schematic circuit diagram of the inductor in the substation according to the embodiment of the utility model. In the utility model, the inductor includes a transformer and a sensor, and according to different types of electrical signals, the electrical signals are collected through different inductors.

Described RTU is connected with described risk detection server 20 by signal transmission network;

The risk detection server 20 is connected with the risk monitoring server 30;

The RTU collects the electrical signals of the substation and the corresponding power devices in the transmission line through the sensors, and converts the electrical signals into digital signals for output. After the RTU collects the electrical signal, it converts the electrical signal into a digital signal and transmits it through an optical cable or wirelessly. The electrical signals here mainly include the following three types: grid signals, equipment signals, and behavior signals. Fig. 3 is the block diagram of the structure of the RTU in the embodiment of the utility model, as can be seen from Fig. 3, the RTU in the embodiment of the utility model mainly consists of 80C196KB single-chip microcomputer, program memory (EPROM), nonvolatile data memory (NVRAM), calendar clock , keyboard display circuit, watchdog and reset circuit, RS-232C standard serial interface, wireless communication module, multi-channel switch, parallel interface, etc., can simultaneously collect electrical signals of multiple branches.

The risk detection server 20 receives the digital signal, and outputs a digital signal exceeding a predetermined threshold as a risk signal.

The risk monitoring server 30 outputs the risk level information of the risk signal and the corresponding pre-control measure information according to the preset risk matrix and risk bow tie.

Fig. 5 is a structural block diagram of the first embodiment of the risk monitoring server 30 according to the embodiment of the present invention. As can be seen from Fig. 5, in the first embodiment, the risk monitoring server 30 specifically includes:

The risk level output device 301 is connected with the risk detection server 20, generates the risk level information of the risk signal according to the preset risk matrix, and outputs the risk level information.

According to the international risk monitoring standard, the risk is measured by the uncertainty of the risk and the unfavorable result, that is, the risk is expressed by the product of the probability of the accident and the severity of the consequences of the accident. That is: Risk (Risk) = risk occurrence probability (P) × risk impact consequence (C). When the risk probability in the risk matrix is between 0-10, the corresponding risk probability is very little; when the risk probability is between 10-30, the corresponding risk probability is few; when the risk probability is between 30-50, Then the corresponding risk probability is many; when the risk probability is between 50-80, the corresponding risk probability is many; when the risk probability is between 80-100, the corresponding risk probability is frequent. When the risk severity in the risk matrix is between 0-10, the corresponding risk severity is very little; when the risk severity is between 10-30, the corresponding risk severity is few; the risk severity is 30- When the risk severity is between 50 and 50, the corresponding risk severity is many; when the risk severity is between 50-80, the corresponding risk severity is many; when the risk severity is between 80-100, the corresponding risk is severe The degree is frequent.

The risk matrix determines the risk level of the data according to the above risk calculation formula, generally including four levels: low risk, medium risk, relatively high risk, and high risk.

The pre-control measure output device 302 is connected to the risk level output device 301, generates the pre-control measure information corresponding to the risk signal according to the preset risk bow tie and the risk level information, and outputs the pre-control measure information. information on control measures.

Fig. 6 is a structural block diagram of the second embodiment of the risk monitoring server 30 in the embodiment of the present invention. It can be seen from Fig. 6 that in the second embodiment, the pre-control measure output device 302 specifically includes:

The signal output device 3021 is connected to the risk level output device 301, and outputs risk signals that are not low risk in the risk level information;

The determining device 3022 is connected to the signal output device 3021, and outputs the pre-control measure information corresponding to the risk signal output by the signal output device 3021 according to the preset risk bow tie.

Fig. 9 is a model diagram of the risk bow tie according to the embodiment of the present invention. It can be seen from Fig. 9 that the risk bow tie specifically includes:

Causing factor: A potential cause that could lead to a hazard and would lead to the occurrence of a hazardous event.

Pre-control measures: Measures used to control the occurrence of hazards that may be caused by the contributing factors.

Hazardous event: the first consequence caused by the occurrence of danger after the failure of pre-control measures.

Mitigation means: After a certain consequence occurs, the technology and other means adopted are used to limit the further development or expansion of the consequences of a dangerous event.

Event Outcome: An outcome or sequence of events resulting from a risk factor.

For behavioral risk signals, the risk bowtie includes the operation pieces of behavioral risk signals, and carries out risk analysis and pre-control according to the operation process. There are 124 types in total; There are a total of 114 categories of risk signals, external and all-round; for equipment risk signals, the risk bow includes equipment risk signals of the entire substation and transmission line, a total of 44 categories. Taking the equipment risk signal as an example, the specific content of the present invention will be introduced in detail below. For equipment risk signals, according to the criticality of different equipment for power grid security, from the internal and external identification and analysis of power grid equipment, the classification of equipment risks is shown in Table 1.

Table 1

The following takes the abnormal risk of transformer status in the four-level classification in Table 1 as an example to introduce the risk bow in detail. The corresponding factors that cause the risk of abnormal transformer status mainly include the following nine aspects, specifically: accessories, leads, cooling system, bushing, winding, tap changer, iron core, insulating medium, and oil conservator. Fig. 10 is a model diagram of the risk bow-tie of abnormal transformer state in the embodiment of the present invention. Taking the insulating medium factor corresponding to the abnormal state of transformer as an example, the risk bow-tie will be introduced in detail in combination with Fig. 10 . First, the RTU10 collects an electrical signal a from a transformer in a substation during the operation of a power grid, and converts the electrical signal a into a digital signal for output. The signal a indicates that the hydrogen content in the transformer oil is a, and the said The risk detection server 20 determines that the signal a exceeds the predetermined threshold according to the predetermined threshold (0.0ppm), and therefore transfers to the risk monitoring server 30 .

The risk level output device 301 in the risk monitoring server 30 generates risk level information of the currently input signal a through a preset risk matrix, and the risk level information indicates that the currently input signal a is relatively high risk. The exponential distribution curve corresponding to the abnormal risk of the transformer state represented by the signal a is shown in Figure 11. The abscissa is the probability statistics (P), and the ordinate is the severity (C). The small triangle in Figure 11 is the current signal a. Risk value, different areas in the figure represent different risk levels. It can be seen from Figure 11 that the risk probability of signal a is 99.2, and the severity is 64. Therefore, the risk index is 6348.80001, which is relatively high risk.

The signal output unit 3021 in the pre-control measure output unit 302 outputs the signal a according to the risk level information of the signal a, and the determination unit 3022 outputs the pre-control measure information corresponding to the signal a according to the preset risk bow tie. Fig. 10 is a diagram of the risk bow-tie model corresponding to signal a in the embodiment of the present invention. From Fig. 10, the leading factors, pre-control measure information, mitigation means and event results corresponding to the current data a can be determined.

Fig. 7 is a structural block diagram of the third embodiment of the risk monitoring server according to the embodiment of the present invention. It can be seen from Fig. 7 that in the third embodiment, the risk monitoring server 30 also includes:

The risk report output device 303 is connected to the pre-control measure output device 302, and generates a risk report according to the risk signal and corresponding pre-control measure information. The brief content of the risk report corresponding to the above signal a is as follows:

a) Risk reasons: manufacturing reasons;

b) risk consequences: impurities and moisture are found in the oil;

c) Pre-control measures: strengthen system supervision; analyze reasons, strengthen inspections, conduct regular tests, overhaul and eliminate defects.

FIG. 8 is a structural block diagram of the fourth implementation of the risk monitoring server of the embodiment of the present invention. It can be seen from FIG. 8 that in the fourth implementation, the risk monitoring server 30 also includes:

The risk early warning output device 304 is connected to the pre-control measure output device 302, and generates a risk early warning report according to the risk signal and the corresponding risk level.

The utility model determines the risk level of the signal and takes corresponding pre-control measures by identifying and analyzing the electrical signals of substations and transmission lines collected in real time during the operation of the power grid, and realizes the real-time changes in the operation status of the power grid. Carry out real-time assessment and grading, adjust risk pre-control measures in time, prevent risks from turning into accidents, and realize full controllability of power grid operation, improve work efficiency, reduce system maintenance costs, reduce losses, and improve power supply security reliability.

In the utility model, specific examples have been applied to explain the principle and implementation of the utility model, and the explanations of the above examples are only used to help understand the method of the utility model and its core idea; meanwhile, for those of ordinary skill in the art According to the idea of the present utility model, there will be changes in the specific implementation and scope of application. In summary, the content of this specification should not be construed as a limitation of the present utility model.

Claims (5)

1. A power grid risk monitoring system, characterized in that, the power grid risk monitoring system includes: substation, remote measurement and control terminal RTU, risk detection server and risk monitoring server, The RTU is connected with the inductor in the substation; The RTU is connected with the risk detection server through a signal transmission network; The risk detection server is connected to the risk monitoring server; The RTU collects electrical signals of corresponding power devices in the substation through the sensors, and converts the electrical signals into digital signals for output; The risk detection server receives the digital signal, and outputs a digital signal exceeding a predetermined threshold as a risk signal; The risk monitoring server includes: The risk level output device is connected to the risk detection server, generates the risk level information of the risk signal according to the preset risk matrix, and outputs the risk level information; The pre-control measure output device is connected to the risk level output device, generates the pre-control measure information corresponding to the risk signal according to the preset risk bow tie and the risk level information, and outputs the pre-control measure information. 2. The power grid risk monitoring system according to claim 1, characterized in that, the power grid risk monitoring system further comprises: a power transmission line, the inductor in the power transmission line is connected to the RTU for outputting Electrical signals of power devices on transmission lines. 3. The power grid risk monitoring system according to claim 1, wherein said pre-control measure output device comprises: The signal output device is connected to the risk level output device, and outputs risk signals that are not low risk in the risk level information; The determination device is connected with the signal output device, and outputs the pre-control measure information corresponding to the risk signal output by the signal output device according to the preset risk bow tie. 4. The power grid risk monitoring system according to claim 1, wherein said risk monitoring server further comprises: The risk report output device is connected with the pre-control measure output device, and generates a risk report according to the risk signal and corresponding pre-control measure information. 5. The power grid risk monitoring system according to claim 1, wherein said risk monitoring server further comprises: The risk early warning output device is connected with the pre-control measure output device, and generates a risk early warning report according to the risk signal and the corresponding risk level.

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