CN105162117A - Online risk evaluation and safety pre-warning method for intelligent distribution network - Google Patents
Online risk evaluation and safety pre-warning method for intelligent distribution network Download PDFInfo
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- CN105162117A CN105162117A CN201510579368.2A CN201510579368A CN105162117A CN 105162117 A CN105162117 A CN 105162117A CN 201510579368 A CN201510579368 A CN 201510579368A CN 105162117 A CN105162117 A CN 105162117A
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Abstract
The invention discloses an online risk evaluation and safety pre-warning method for an intelligent distribution network, and provides a safety pre-warning evaluation index method for quantitative risk analysis of a power system operation state. Early warning is made for the risk of state change; and a support can also be provided for decision of low-voltage prevention and overload prevention of a power system and system voltage instability prevention. Safety ranges of three indexes are obtained by calculating and normalizing the bus voltage magnitude, the active power flow percent and the stability margin; and the three index values are comprehensively compared with the size of the safety boundary, so that the operation state of the system can be quantitatively analyzed.
Description
Technical field
The invention belongs to Power System and its Automation field, be specifically related to the method for the online risk assessment of a kind of intelligent distribution network and safe early warning.
Background technology
The safe operation of electric power system is concerning national economy, and need adopt an effective measure from each side such as planning, operations, safeguards system is run with security and stability.In recent years, large-scale blackout took place frequently in the world, caused showing great attention to of domestic industry circle and academia.Especially add " 814 " large-scale blackout of generation U.S.A in 2003, coverage is wide, and economic loss is heavy.Continue " 814 " large-scale blackout, and the countries and regions such as Italy, London, Moscow, Tokyo, Pakistan there occurs a series of large-scale blackout in succession, and this sounds the alarm constantly to work about electric power person.
Along with the appearance of extensive pool, the structure of system and operational mode become increasingly complex changeable, the appearance of particularly remote weak contact between bulk power transmission circuit and system, add the event of generation systems sexual behavior and the probability causing large-area power-cuts.Show according to experience in the past, almost systemic accident is all destroyed relevant with the stability of electric power system each time, so carry out safety analysis to electric power system just become one of main path ensureing safe operation of power system.Meanwhile, because electric load is variation all the time, add the Unpredictability of the system failure, electric power system has multiple running status: normal operating condition, the state of alert, the state of emergency, collapse conditions and return to form.The conversion of operation states of electric power system is directly connected to the analysis of system safety performance and scheduling operation strategy, conversion for a long time for running status can only carry out qualitative analysis, if the safe condition of electric power system can quantitative analysis the possibility analyzing its state transitions before systematic state transfer and the extent of injury caused system, and take suitable Control Measure to reduce risk, then the safety and stability of electric power system is had great significance, also can be the various preventive decision-making of electric power system and provide support.
Summary of the invention
The present invention is directed to prior art above shortcomings, provide the method for the online risk assessment of a kind of intelligent distribution network and safe early warning.The present invention is achieved through the following technical solutions:
A method for the online risk assessment of intelligent distribution network and safe early warning, comprises step:
S1, to judge in distribution network that whether each busbar voltage is in case of a fault reasonable, when busbar voltage amplitude is more than 1.0pu, severity values is 0; When busbar voltage amplitude is less than 0.95pu, severity values is 1; When busbar voltage amplitude is greater than 0.95pu and is less than 1.0pu, severity values and busbar voltage amplitude present linear relationship, can quantize the extent of injury of low-voltage to quality of voltage;
S2, to judge in distribution network that whether each Line Flow is in case of a fault out-of-limit, when effective power flow percentage is less than 0.9, severity values is 0; When effective power flow percentage is greater than 1.0, severity values is 1; When effective power flow percentage is greater than 0.9 and is less than 1.0, severity values and effective power flow percentage present linear relationship, have quantized the overladen extent of injury;
S3, judge that whether the system load ability at failure condition in distribution network is out-of-limit, when system stability nargin is more than 0.1, can think that system is in a safe condition, severity values is 0; When system stability nargin is between 0 and 1, the value of severity values and system stability nargin presents linear relationship; And when system stability nargin is less than 0, can think, at this time the voltage of system is in extremely labile state, and close to collapse, severity values is 1.
S4, by calculating above-mentioned three kinds of indexs and can obtaining the security interval of three kinds of indexs after normalization, the size of Integrated comparative three kinds of desired values and secure border can the running status of quantified system analysis.
Preferably, the unit interval is for short-term load forecasting is every prediction in hour load condition time point of a day.
The present invention carries out risk assessment and safe early warning from three angle index of electric power system risk, and method therefor is convenient, accurate.
Accompanying drawing explanation
Shown in Fig. 1 is the schematic diagram of the online risk assessment in Intelligent power distribution network and the state variation in safe early warning process.
Shown in Fig. 2 is the relation curve of busbar voltage amplitude and operation states of electric power system severity values.
Shown in Fig. 3 is the relation curve of circuit effective power flow percentage and operation states of electric power system severity values.
Shown in Fig. 4 is the stability margin percentage of system and the relation curve of operation states of electric power system severity values.
Embodiment
Below with reference to accompanying drawing of the present invention; clear, complete description and discussion are carried out to the technical scheme in the embodiment of the present invention; obviously; as described herein is only a part of example of the present invention; it is not whole examples; based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under the prerequisite not making creative work, all belongs to protection scope of the present invention.
For the ease of the understanding to the embodiment of the present invention, be further explained for specific embodiment below in conjunction with accompanying drawing, and each embodiment does not form the restriction to the embodiment of the present invention.
The many power supplys of one provided by the invention, many segmentations, multi-joint network distribution network failure evaluation of restoration effects method, comprising:
1) system running state definition
As shown in Figure 1, because electric load is variation all the time, add the Unpredictability of the system failure, electric power system has multiple running status: normal operating condition, the state of alert, the state of emergency, collapse conditions and return to form.Normal operating condition refers to that electric power system is after the disturbance of bearing rational contingency set, meet power-balance constraints (equality constraint) simultaneously and run constraints (inequality constraints condition), and there is suitable safety stock.Run electric power system in normal state, in the perturbation process of bearing regulation contingency set, as long as there is a forecast accident to make system not meet inequality constraints condition, just claim this system to be on the alert.When system cloud gray model is under the state not meeting inequality constraints condition, namely system is in a state of emergency.In emergency situations, system violates inequality service conditions, but equation service conditions meets, and system still keeps its stability.When system is in a state of emergency down, if having little time to take effective measures, then likely make system running state continue to worsen, cause disintegrating or collapsing of whole system.
2) low-voltage risk indicator
Abscissa in Fig. 2 is busbar voltage amplitude, and ordinate represents severity values.Only consider the extent of injury of low-voltage herein.When busbar voltage amplitude is more than 1.0pu, severity values is 0; When busbar voltage amplitude is less than 0.95pu, severity values is 1; When busbar voltage amplitude is greater than 0.95pu and is less than 1.0pu, severity values and busbar voltage amplitude present linear relationship, can quantize the extent of injury of low-voltage to quality of voltage.
3) overload risk indicator
Abscissa in Fig. 3 is the effective power flow percentage of circuit, and ordinate represents severity values.Under normal circumstances, as long as namely represent that more than 1 the effective power flow of circuit is out-of-limit, then conservatively thinks herein, have out-of-limit danger when being greater than 0.9 and be less than 1.0, severity values and effective power flow present linear relationship, have quantized the overladen extent of injury; When effective power flow is less than 0.9, severity values is 0; When effective power flow is greater than 1.0, severity values is 1.
4) system voltage unstability risk indicator
Abscissa in Fig. 4 is the stability margin percentage of system, and ordinate represents severity values.When more than 0.1, can think that system is in a safe condition, severity values is 0; When being between 0 and 1, severity values and stability margin percentage present linear relationship; And when being less than 0, can think, at this time the voltage of system is in extremely labile state, and close to collapse, severity values is 1.
The above; be only the present invention's preferably embodiment, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claim.
Claims (2)
1. a method for the online risk assessment of intelligent distribution network and safe early warning, is characterized in that, comprise the following steps:
S1, to judge in distribution network that whether each busbar voltage is in case of a fault reasonable, when busbar voltage amplitude is more than 1.0pu, severity values is 0; When busbar voltage amplitude is less than 0.95pu, severity values is 1; When busbar voltage amplitude is greater than 0.95pu and is less than 1.0pu, severity values and busbar voltage amplitude present linear relationship, can quantize the extent of injury of low-voltage to quality of voltage;
S2, to judge in distribution network that whether each Line Flow is in case of a fault out-of-limit, when effective power flow percentage is less than 0.9, severity values is 0; When effective power flow percentage is greater than 1.0, severity values is 1; When effective power flow percentage is greater than 0.9 and is less than 1.0, severity values and effective power flow percentage present linear relationship, have quantized the overladen extent of injury;
S3, judge that whether the system load ability at failure condition in distribution network is out-of-limit, when system stability nargin is more than 0.1, can think that system is in a safe condition, severity values is 0; When system stability nargin is between 0 and 1, the value of severity values and system stability nargin presents linear relationship; And when system stability nargin is less than 0, can think, at this time the voltage of system is in extremely labile state, and close to collapse, severity values is 1;
S4, by calculating above-mentioned three kinds of indexs and can obtaining the security interval of three kinds of indexs after normalization, the size of Integrated comparative three kinds of desired values and secure border can the running status of quantified system analysis.
2. the method for the online risk assessment of a kind of intelligent distribution network according to claim 1 and safe early warning, is characterized in that, the described unit interval is the short-term load forecasting time point every prediction in a hour one day load condition.
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| CN112542832A (en) * | 2020-11-28 | 2021-03-23 | 国网宁夏电力有限公司 | Method and system for analyzing transient state stable state and running state of power system |
| CN114139781A (en) * | 2021-11-17 | 2022-03-04 | 国网湖北省电力有限公司经济技术研究院 | Method and system for predicting operation trend of power system |
| CN115730749A (en) * | 2023-01-05 | 2023-03-03 | 佰聆数据股份有限公司 | Electric power dispatching risk early warning method and device based on fused electric power data |
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| JP2013121305A (en) * | 2011-12-09 | 2013-06-17 | Hitachi Ltd | Power distribution system monitoring control device, power distribution system monitoring control method, and photovoltaic power generation system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112542832A (en) * | 2020-11-28 | 2021-03-23 | 国网宁夏电力有限公司 | Method and system for analyzing transient state stable state and running state of power system |
| CN114139781A (en) * | 2021-11-17 | 2022-03-04 | 国网湖北省电力有限公司经济技术研究院 | Method and system for predicting operation trend of power system |
| CN115730749A (en) * | 2023-01-05 | 2023-03-03 | 佰聆数据股份有限公司 | Electric power dispatching risk early warning method and device based on fused electric power data |
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Application publication date: 20151216 |