CN108471111B - Power grid operation risk assessment method for bus fault - Google Patents
Power grid operation risk assessment method for bus fault Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
The invention discloses a power grid operation risk assessment method aiming at bus faults, which is used for calculating and analyzing power grid operation risks caused by bus faults from three levels of normal states, accident states and expected states, carrying out graded evaluation based on power grid equipment out-of-limit information and power grid load loss information after the bus faults in an exponential function weighting fusion mode, establishing risk evaluation fault grade division according to a risk evaluation index range, carrying out risk rating on a power grid risk evaluation index F obtained by calculation according to the risk evaluation grade division, and realizing quantitative evaluation of the power grid operation risks under the condition of the bus faults. The method can realize the omnibearing disclosure and quantitative evaluation of the power grid operation risk under the condition of bus fault, is beneficial to operators to optimize the normal operation mode of the power grid bus and perfects the bus risk control target.
Description
Technical Field
The invention relates to the technical field of intelligent analysis and control of an electric power system, in particular to a power grid operation risk assessment method aiming at bus faults.
Background
The problems that the current power grid operation mode is complex, the equipment load is increased, the power supply capacity is insufficient and the like are increasingly prominent, the pressure of safe operation of the power grid is remarkably increased, the intelligent early warning work of the power grid risk is urgently needed to be done, and the power grid risk perception and prevention control capacity is improved. In the actual operation of the power grid, the proportion of bus faults in the faults of the power system is not large, and according to statistics, the bus faults account for about 6% -7% of all line faults of the system. However, the bus voltage loss fault in the bus fault has a great influence on the whole system, and the consequences are serious, because all power transmission lines lose power, large-area power failure is caused, and the power system is split into several parts. Especially, bus protection misoperation is caused by artificial mistaken touch and misoperation, so that a large amount of power supplies and circuits are cut off, huge loss is caused, important users are seriously affected, and recovery cannot be realized in a short time.
In view of the above serious consequences and influences caused by bus faults, a power grid risk quantitative evaluation means specially aiming at the bus faults is not available at present, and the existing power grid risk evaluation technology generally focuses on equipment or section out-of-limit evaluation and early warning on risks and considers less load loss influence. Therefore, it is necessary to research a related power grid risk comprehensive evaluation technology caused by a fault of a bus specially for the bus, optimize a normal operation mode of the bus of the power grid, and perform targeted analysis and comprehensive evaluation on the influence of the fault of the bus, so that an operator can perform sensing and preventive pre-control on the bus fault risk in advance, and the safe and stable operation of the power grid is ensured.
Disclosure of Invention
The invention aims to solve the technical problems in the prior art at least to a certain extent, provides a power grid operation risk assessment method aiming at bus faults, realizes omnibearing disclosure and quantitative assessment of power grid operation risks under the condition of bus faults, is beneficial to operators to optimize the normal operation mode of power grid buses and perfects the bus risk control target.
In order to achieve the purpose of the present invention, an embodiment of the present invention provides a power grid operation risk assessment method for a bus fault, which specifically adopts the following technical scheme:
the method comprises the following steps:
s100, scanning the fault risk of the normal state bus of the power grid;
when the power grid normally operates, buses in the power grid are set to be switched on and off one by one in a real-time periodic scanning mode, and equipment out-of-limit information under the condition of a power grid bus N-1 and power grid load loss information caused by bus faults are calculated, wherein N is the total number of the power grid buses;
s200, scanning the fault risk of the power grid accident-state bus;
when the power grid has an actual fault, automatically triggering fault signals judged by a local dispatching control system on line to set buses in the power grid to be switched on and off one by one, and calculating equipment out-of-limit information under the condition that the buses are N-1 after the power grid has a fault and power grid load loss information caused by the fault of the buses;
s300, scanning the risk of the bus fault in the expected state of the power grid;
in a dispatcher tide mode, setting N-2 expected on-off of a bus in a manual selection mode to acquire equipment out-of-limit information and power grid load loss information caused by bus failure under the condition that the bus N-2 of a power grid is expected;
s400, calculating a risk assessment index;
calculating the risk index F of the bus fault according to the following formula (1) for the out-of-limit information and the load loss information of the power grid equipment obtained in the steps S100 to S300:
wherein S is1Is the line out-of-limit number, S2Is the out-of-limit number of the main transformer, S3Is the number of bus bar overruns, S4To lose an insignificant number of users, S5To lose a significant number of users, N1And N2The weight adjusting parameter is that L is more than 0 and less than 1;
s500, risk grading evaluation;
and carrying out risk rating on the calculated power grid risk assessment index F according to risk assessment grade division.
Optionally, the device out-of-limit information at least includes line current out-of-limit information, main transformer power out-of-limit information, and bus voltage out-of-limit information; the power grid load loss information at least comprises loss load power information, loss user number information and loss important user number information.
Optionally, in the steps S100 to S300, the device out-of-limit information and the power grid load loss information caused by the bus fault are specifically calculated through static safety analysis of the power grid in the corresponding state.
Optionally, before performing step S100, step S000 is performed, where step S000 includes: and acquiring the topological structure and equipment parameter information of the current power grid model and the whole-grid state estimation section data based on the power grid model.
Optionally, in step S100, based on the power grid model topology and the full-grid state estimated section data obtained in step S000, N-1 disconnection settings are periodically and automatically performed on the full-grid buses one by one, and a static security analysis function is invoked to calculate power grid out-of-limit device information and load loss information in the N-1 fault disconnection state of each bus.
Optionally, in the step S400, N1=3,N2=4,L=0.9。
Optionally, in step S500, the power grid risk assessment level is divided into a first level, a second level and a third level, where an F value of the first level is in a range of 81% to 100%, an F value of the second level is in a range of 51% to 80%, and an F value of the third level is in a range of 0% to 50%.
The embodiment of the invention has the following beneficial effects:
according to the power grid operation risk assessment method aiming at the bus fault, disclosed by the embodiment of the invention, through omnibearing disclosure and quantitative assessment of the power grid operation risk under the conditions of normal state, fault state and expected state bus fault disconnection of the power grid, the prejudgment and early warning of the serious operation risk of the power grid caused by the bus fault are realized, an operator is helped to optimize the normal operation mode of the power grid bus in time, adjust the power grid operation strategy, prepare for prevention and control of the power grid operation risk, and powerful technical support is provided for safe and stable operation of the power grid.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for evaluating an operation risk of a power grid in response to a bus fault according to an embodiment of the present invention.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical solution of the present invention, the following description is made by referring to the specific embodiments and the accompanying drawings.
As shown in fig. 1, an embodiment of the present invention provides a power grid operation risk assessment method for a bus fault, which is applied to the technical field of intelligent analysis and control of an electric power system, and mainly aims at a related power grid risk comprehensive assessment technology for a bus to research a fault of the bus, so as to optimize a normal operation mode of a power grid bus, and perform targeted analysis and comprehensive assessment on an influence of the bus fault, so that an operator can perform sensing and prevention pre-control on the bus fault risk in advance, and ensure safe and stable operation of a power grid.
Specifically, the power grid operation risk assessment method aiming at the bus fault comprises the following steps:
s100, scanning the fault risk of the normal state bus of the power grid;
when the power grid normally operates, buses in the power grid are set to be switched on and off one by one in a real-time periodic scanning mode, and equipment out-of-limit information under the condition of a power grid bus N-1 and power grid load loss information caused by bus faults are calculated, wherein N is the total number of the power grid buses;
s200, scanning the fault risk of the power grid accident-state bus;
when the power grid has an actual fault, automatically triggering fault signals judged by a local dispatching control system on line to set buses in the power grid to be switched on and off one by one, and calculating equipment out-of-limit information under the condition that the buses are N-1 after the power grid has a fault and power grid load loss information caused by the fault of the buses;
s300, scanning the risk of the bus fault in the expected state of the power grid;
in a dispatcher tide mode, setting N-2 expected on-off of a bus in a manual selection mode to acquire equipment out-of-limit information and power grid load loss information caused by bus failure under the condition that the bus N-2 of a power grid is expected;
s400, calculating a risk assessment index;
calculating the risk index F of the bus fault according to the following formula (1) for the out-of-limit information and the load loss information of the power grid equipment obtained in the steps S100 to S300:
wherein S is1Is the line out-of-limit number, S2Is the out-of-limit number of the main transformer, S3Is the number of bus bar overruns, S4To lose an insignificant number of users, S5To lose a significant number of users, N1And N2For weighting the adjustment parameters, an integer not less than 1 is usually taken and N2>N1,0<L<1;
S500, risk grading evaluation;
and establishing risk assessment fault grade division according to the risk assessment index range, and then carrying out risk assessment on the calculated power grid risk assessment index F according to the risk assessment grade division, so that the quantitative assessment of the power grid operation risk under the condition of bus fault is realized.
In one example of the present invention, the device out-of-limit information at least includes line current out-of-limit information, main transformer power out-of-limit information, and bus voltage out-of-limit information; the power grid load loss information at least comprises loss load power information, loss user number information and loss important user number information. It is understood that the above listed information types are only an example of the present invention, and other types of information may be selected to assist the grid risk assessment based on the content of the embodiment of the present invention according to the actual technical requirements.
In an example of the present invention, in the steps S100 to S300, the device out-of-limit information and the grid load loss information due to the bus fault are calculated by a static safety analysis of the grid in the corresponding state. Specifically, as shown in fig. 1, the steps S100 and S200 are calculated for automatically invoking the static safety analysis function of the power grid, and the step S300 is calculated for manually starting the static safety analysis function of the power grid.
In one example of the present invention, before performing the step S100, a step S000 is performed, where the step S000 includes: and acquiring the topological structure and equipment parameter information of the current power grid model and the whole-grid state estimation section data based on the power grid model.
In an example of the present invention, in step S100, based on the power grid model topology, the device parameter information, and the full-grid state estimated section data obtained in step S000, N-1 disconnection settings are periodically and automatically performed on the full-grid buses one by one, and a static safety analysis function is invoked to calculate the power grid out-of-limit device information and the load loss information in the N-1 fault disconnection state of each bus.
Wherein by setting N1And N2It is emphasized that the load loss impact is more severe than the equipment out-of-limit and the loss of important users is more severe than the loss of average users. In one example of the present invention, in the step S400, N is preferable1=3,N2=4,L=0.9。
In an example of the present invention, in step S500, the grid risk assessment levels are divided into a first level, a second level and a third level, where the F value of the first level ranges from 81% to 100%, the F value of the second level ranges from 51% to 80%, and the F value of the third level ranges from 0% to 50%. The lower the value of the risk indicator F, the worse the indicator, and the greater the risk.
As can be seen from the above description, implementing the embodiments of the present invention has the following beneficial effects:
according to the power grid operation risk assessment method aiming at the bus fault, disclosed by the embodiment of the invention, through omnibearing disclosure and quantitative assessment of the power grid operation risk under the conditions of normal state, fault state and expected state bus fault disconnection of the power grid, the prejudgment and early warning of the serious operation risk of the power grid caused by the bus fault are realized, an operator is helped to optimize the normal operation mode of the power grid bus in time, adjust the power grid operation strategy, prepare for prevention and control of the power grid operation risk, and powerful technical support is provided for safe and stable operation of the power grid.
The parts of the method in the embodiment of the present invention that are not developed can refer to the corresponding parts of the method in the above embodiment, and are not developed in detail here.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example" or "some examples" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (5)
1. A power grid operation risk assessment method aiming at bus faults is characterized by comprising the following steps:
s000, acquiring the topological structure and equipment parameter information of the current power grid model and the full-grid state estimation section data based on the power grid model;
s100, scanning the fault risk of the normal state bus of the power grid;
when the power grid normally operates, periodically and automatically performing N-1 on-off setting on the buses of the whole power grid one by one in a real-time periodic scanning mode on the basis of the power grid model topological structure and the whole-grid state estimation section data acquired in the step S000, and calling a static safety analysis function to calculate equipment out-of-limit information under the condition that the buses of the power grid are in N-1 fault on-off and power grid load loss information caused by bus faults, wherein N is the total number of the buses of the power grid;
s200, scanning the fault risk of the power grid accident-state bus;
when the power grid has an actual fault, automatically triggering fault signals judged by a local dispatching control system on line to set buses in the power grid to be switched on and off one by one, and calculating equipment out-of-limit information under the condition that the buses are N-1 after the power grid has a fault and power grid load loss information caused by the fault of the buses;
s300, scanning the risk of the bus fault in the expected state of the power grid;
in a dispatcher tide mode, setting N-2 expected on-off of a bus in a manual selection mode to acquire equipment out-of-limit information and power grid load loss information caused by bus failure under the condition that the bus N-2 of a power grid is expected;
s400, calculating a risk assessment index;
calculating the risk index F of the bus fault according to the following formula for the out-of-limit information and the load loss information of the power grid equipment obtained in the steps S100 to S300:
wherein S is1Is the line out-of-limit number, S2Is the out-of-limit number of the main transformer, S3Is the number of bus bar overruns, S4To lose an insignificant number of users, S5To lose a significant number of users, N1And N2Adjusting the parameters for the weights, 0<L<1;
S500, risk grading evaluation;
carrying out risk rating on the calculated power grid risk evaluation index F according to risk evaluation grade division; the power grid risk assessment grade is divided into a first grade, a second grade and a third grade, the F value range of the first grade is 81% -100%, the F value range of the second grade is 51% -80%, and the F value range of the third grade is 0% -50%.
2. The method according to claim 1, wherein the equipment out-of-limit information at least comprises line current out-of-limit information, main transformer power out-of-limit information and bus voltage out-of-limit information; the power grid load loss information at least comprises loss load power information, loss user number information and loss important user number information.
3. The method according to claim 1, wherein in steps S100 to S300, the equipment out-of-limit information and the grid load loss information due to the bus fault are calculated by static safety analysis of the grid in the corresponding state.
4. The power grid operation risk assessment method for bus faults according to claim 1, wherein in step S100, N-1 disconnection settings are periodically and automatically performed on the buses in the whole network one by one based on the power grid model topology and the whole network state estimated section data obtained in step S000, and a static safety analysis function is invoked to calculate out-of-limit device information and load loss information of the power grid in the N-1 fault disconnection state of each bus.
5. The method for assessing risk of grid operation for bus fault according to claim 1, wherein in step S400, N is1=3,N2=4,L=0.9。
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CN109494708B (en) * | 2018-09-28 | 2021-08-31 | 广东电网有限责任公司 | Automatic scanning analysis method for power grid 220kV bus N-1 risk power grid |
CN109859588B (en) * | 2019-04-10 | 2021-02-12 | 国家电网公司华中分部 | Man-machine confrontation scheduling training simulation system and method for extra-high voltage power grid |
CN112508313B (en) * | 2019-08-28 | 2022-09-09 | 北京科东电力控制***有限责任公司 | Method, device and system for evaluating operation sequence of recoverable equipment after fault |
CN111461579B (en) * | 2020-04-30 | 2023-01-24 | 广东电网有限责任公司惠州供电局 | Full-voltage-grade power grid real-time risk assessment system and method |
CN112649696A (en) * | 2020-10-26 | 2021-04-13 | 国网河北省电力有限公司邢台供电分公司 | Power grid abnormal state identification method |
CN112467746B (en) * | 2020-11-21 | 2022-11-01 | 东南大学 | Power distribution network optimization method considering out-of-limit risk |
CN113033989B (en) * | 2021-03-19 | 2022-09-20 | 国网河北省电力有限公司邢台供电分公司 | Fault risk assessment method and device for power transmission line and terminal equipment |
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