CN107276081A - A kind of power network key sections discriminating conduct and its system - Google Patents

A kind of power network key sections discriminating conduct and its system Download PDF

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Publication number
CN107276081A
CN107276081A CN201710535045.2A CN201710535045A CN107276081A CN 107276081 A CN107276081 A CN 107276081A CN 201710535045 A CN201710535045 A CN 201710535045A CN 107276081 A CN107276081 A CN 107276081A
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mrow
power network
mfrac
transmission line
simulated
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CN107276081B (en
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陆佳政
简洲
郭俊
方针
李波
徐勋建
杨莉
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State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

Abstract

The invention discloses a kind of power network key sections discriminating conduct and its system, to solve the prior art problem that conventional method does not take into full account initial section.This method includes:Pre-simulated is carried out to operation of power networks state to be measured, by the tripping operation probability of each bar transmission line of electricity in pre-simulated number of times, simulation precision and the power network of setting, total number realization with reference to needed for being calculated the minimum load loss amount of power network when being simulated each time in pre-simulated;The trip condition of each bar transmission line of electricity in the minimum load loss amount and power network of power network when being simulated each time in total simulation is recorded, each bar transmission line of electricity risk indicator is calculated according to the minimum load loss amount of power network and each bar transmission line of electricity trip condition;Select by the certain amount of transmission line of electricity of the sequential selection of risk indicator from high to low and therefrom the transmission line of electricity combination of energy structure section;Effective power flow orientation consistency judgement is carried out to the circuit for constituting section, section is characterized as key sections if the effective power flow direction all same of all circuits of composition section.

Description

A kind of power network key sections discriminating conduct and its system
Technical field
The present invention relates to electrical engineering technical field, more particularly to a kind of power network key sections discriminating conduct and its system.
Background technology
The scale and complexity of modern power systems are growing day by day, point of the power grid operation personnel under electric network fault situation Analysis and decision-making work it is also more and more difficult, it usually needs obtained by the key sections of power network the current working condition of power network and Formulate Emergency decision scheme.
It is general in current power network actual motion that key sections are determined using the method manually set, it is excessive dependent on operation people The experience of member, without objectivity, and is difficult to when grid structure changes to upgrade in time, therefore be not suitable for power network mountain fire calamity Quick risk analysis under evil.And the discriminating conduct of some existing key sections does not all take into full account initial section collection, having can Important key sections can be omitted.
The content of the invention
Present invention aims at a kind of power network key sections discriminating conduct and its system is provided, quickly to identify comprehensively The key sections of power network, solve conventional method and there is the technical problem that key sections distinguish inaccurate.
To achieve the above object, the invention provides a kind of power network key sections discriminating conduct, comprise the following steps:
To operation of power networks state topology structure to be measured carry out pre-simulated, by the pre-simulated number of times of setting, simulation precision and The tripping operation probability of each bar transmission line of electricity combines the minimum load loss of power network when being simulated each time in the pre-simulated obtained in power network Amount total number realization needed for calculating;
Operation of power networks state to be measured is always simulated, the minimum load of power network is damaged when being simulated each time in the total simulation of record The trip condition of each bar transmission line of electricity in vector and power network, trips according to the minimum load loss amount of power network and each bar transmission line of electricity Situation calculates each bar transmission line of electricity risk indicator;
By the certain amount of transmission line of electricity of the sequential selection of risk indicator from high to low and from selected certain amount of transmission of electricity The transmission line of electricity combination of energy structure section is selected in circuit;
Effective power flow orientation consistency judgement is carried out to the circuit for constituting the section, if the institute for constituting the section is wired The section is then characterized as key sections by the effective power flow direction all same on road.
The above method is relied on, present invention also offers a kind of power network key sections discrimination system, including:
Pre-simulated module:For carrying out pre-simulated to topological structure of electric running status to be measured, pass through the pre-simulated of setting The tripping operation probability of each bar transmission line of electricity combines power network when being simulated each time in the pre-simulated obtained in number of times, simulation precision and power network Minimum load loss amount calculate needed for total number realization;
Total analog module:For always being simulated to operation of power networks state to be measured, when being simulated each time in the total simulation of record The trip condition of each bar transmission line of electricity in the load loss amount and power network of power network, transmits electricity according to the load loss amount of power network and each bar Line tripping situation calculates each bar transmission line of electricity risk indicator;
Profile recognition module:For the certain amount of transmission line of electricity of sequential selection by risk indicator from high to low and from institute Select the transmission line of electricity combination that energy structure section is selected in certain amount of transmission line of electricity;
Discrimination module:For carrying out effective power flow orientation consistency judgement to the circuit for constituting section, if composition section Section is then characterized as key sections by the effective power flow direction all same of all circuits.
The present invention can quickly identify the key sections of power network comprehensively, be power grid operation personnel in electric network fault situation Under emergency analysis and decision-making provide important foundation.The explicit physical meaning of the invention, with very high construction value.
In addition to objects, features and advantages described above, the present invention also has other objects, features and advantages. Below with reference to accompanying drawings, the present invention is further detailed explanation.
Brief description of the drawings
The accompanying drawing for constituting the part of the application is used for providing a further understanding of the present invention, schematic reality of the invention Apply example and its illustrate to be used to explain the present invention, do not constitute inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is a kind of power network key sections discriminating conduct flow chart of the preferred embodiment of the present invention;
Fig. 2 is the topological structure of electric figure of the preferred embodiment of the present invention;
Fig. 3 is the topological structure of electric key sections schematic diagram of the preferred embodiment of the present invention.
Embodiment
Embodiments of the invention are described in detail below in conjunction with accompanying drawing, but the present invention can be defined by the claims Implement with the multitude of different ways of covering.
As shown in figure 1, a kind of flow of power network key sections discriminating conduct includes:
S1, to topological structure of electric running status to be measured carry out pre-simulated, pass through pre-simulated number of times, the simulation precision of setting The minimum load that power network when being simulated each time in the pre-simulated obtained is combined with the tripping operation probability of each bar transmission line of electricity in power network is damaged Vector total number realization needed for calculating.
Using need to carry out key sections discrimination power network topological structure as object, pre-simulated number of times, simulation precision are set With the tripping operation probability of each bar transmission line of electricity in power network.Because required total number realization can not be determined, it is therefore desirable to first carry out pre- mould Intend, the number of times always simulated needed for being determined by pre-simulated, and pre-simulated number of times is more, obtained required total number realization is got over Accurately, general pre-simulated reaches that the required total number realization obtained at 200 times is just more accurate.For setting for simulation precision It is that smaller obtained circuit risk indicator is more accurate to put, but simulation precision is too small that actual electric network operating analysis is had little significance, Actual electric network running precision does not reach this standard, and simulation precision is typically taken as β ∈ [0.01,0.05].The jump of each bar transmission line of electricity Lock probability is set to same value, so as to the importance size according to more each circuit of risk indicator for simulating obtained each circuit, General to set tripping operation probability to be 10%-50%, because simulation precision is relatively low when tripping operation probability is too small, tripping operation probability is too very much not Tally with the actual situation.
Generally it is the loss that power network is weighed with minimum load loss amount under electric network fault situation, DC- can be used OPF (direct current optimal power flow) is solved to the minimum load loss amount E of power network.Pass through the pre-simulated number of times of setting, simulation essence The minimum load of power network when being simulated each time in the tripping operation probability of each bar transmission line of electricity, the pre-simulated with reference to acquisition in degree and power network Loss amount total number realization needed for can calculating.Pre-simulated can be as the part always simulated, and list can be reduced by so doing Solely carry out the number realization needed for total simulation.
S2, operation of power networks state to be measured is always simulated, the minimal negative of power network when being simulated each time in the total simulation of record The trip condition of each bar transmission line of electricity in lotus loss amount and power network, according to the minimum load loss amount of power network and each bar transmission line of electricity Trip condition calculates each bar transmission line of electricity risk indicator.Minimum load loss amount can use minimum load in step S1 in the step The computational methods of loss amount are calculated.
S3, the certain amount of transmission line of electricity of the sequential selection by risk indicator from high to low and from selected certain amount of defeated The transmission line of electricity combination of energy structure section is selected in electric line.
The risk indicator of all transmission lines of electricity is ranked up by risk indicator size, chosen according to the selection rule of formulation T bars circuit before risk indicator highest.It is set out by the power network minimal cut set of any several railway superstructures in T bar circuits.Line Road determines that the method for cut set includes connection graph search algorithm etc., and the power network minimal cut set constructed is a section.
S4, the circuit progress effective power flow orientation consistency judgement to constituting the section, if constituting the institute of the section The section is then characterized as key sections by the effective power flow direction all same for having circuit.
Because a section is generally by 2 or the railway superstructures of more than 2, the effective power flow direction of the circuit of section is constituted It is uncertain, it is therefore desirable to which effective power flow Orientation is carried out to all circuits for constituting a section.It is same disconnected when constituting The effective power flow direction of the circuit in face is consistent, i.e., the part in the two parts being divided into power network topology by the section is flowed into Another part, now the section be characterized as key sections.When the effective power flow direction of the circuit of the same section of composition is inconsistent, The section is characterized as non-key section.
By carrying out the total degree of simulation needed for pre-simulated can be obtained accurately to power network to be measured, enter to power network to be measured The risk indicator of all transmission lines of electricity is obtained during row always simulation.Risk of selection index it is higher circuit composition section come determine close Key section.The key sections of power network can be quickly identified comprehensively, be power grid operation personnel's answering under electric network fault situation Anxious analysis and decision provides important foundation.
Further, the calculation of required total number realization is:
Wherein, β is simulation precision, and L is pre-simulated number of times,For the minimum load loss amount of power network in jth time simulation.
Further, the calculation of transmission line of electricity risk indicator is:
Wherein, M number realizations for needed for,For the minimum load loss amount of power network in kth time simulation.
The definition of certain amount of power transmission line travel permit number is:
Wherein N is total power transmission line travel permit number.
Corresponding with the above method, present invention also offers a kind of discrimination of power network key sections, the system includes:
Pre-simulated module:For carrying out pre-simulated to topological structure of electric running status to be measured, pass through the pre-simulated of setting The tripping operation probability of each bar transmission line of electricity combines power network when being simulated each time in the pre-simulated obtained in number of times, simulation precision and power network Minimum load loss amount calculate needed for total number realization;
Total analog module:For always being simulated to operation of power networks state to be measured, when being simulated each time in the total simulation of record The trip condition of each bar transmission line of electricity in the load loss amount and power network of power network, transmits electricity according to the load loss amount of power network and each bar Line tripping situation calculates each bar transmission line of electricity risk indicator;
Profile recognition module:For the certain amount of transmission line of electricity of sequential selection by risk indicator from high to low and from institute Select the transmission line of electricity combination that energy structure section is selected in certain amount of transmission line of electricity;
Discrimination module:Judge for entering row line effective power flow orientation consistency to the section, it is consistent for direction Section is characterized as key sections.
Further, the calculation of total number realization is needed for total analog module:
Wherein, β is simulation precision, and L is pre-simulated number of times,For the load loss amount of power network in jth time simulation.
Further, transmission line of electricity risk indicator is in total analog module:
Wherein, M number realizations for needed for,For the loss coincidence loss amount of power network in kth time simulation.
Further, the definition of certain amount of power transmission line travel permit number is in screening module:
Wherein N is total power transmission line travel permit number.
Further, pre-simulated number of times is 200 times in pre-simulated module, and the tripping operation probability is 10%-50%, the mould Plan precision is 0.01-0.05.
Referring to Fig. 2, row are calculated with the node standard of IEEE10 machines 39 and studied for object, N=46 is had in power network shown in Fig. 2 Transmission line of electricity is adjusted, if the tripping operation probability of each transmission line of electricity is 10%.To the power network progress pre-simulated of L=250 times, modulus Intend precision β=0.05, required total number realization M=3000 can be obtained by the calculation formula of total number realization.According to the jump of each circuit Lock probability, to the power network progress simulation of 3000 times, tries to achieve the risk indicator R of all transmission lines of electricityi.According to specific quantity power transmission line The definition that road is chosen, higher preceding 16 circuits of risk of selection index, as shown in table 1:
16 circuits before the risk indicator highest of table 1
The power network minimal cut set of the railway superstructures in upper table is obtained by connecting graph search algorithm, minimal cut set enters row line Effective power flow orientation consistency judges, filters out power network key sections, as shown in Figure 3.The wherein circuit group of each key sections Into as shown in table 2:
The key sections of table 2
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies Change, equivalent substitution, improvement etc., should be included in the scope of the protection.

Claims (10)

1. a kind of power network key sections discriminating conduct, it is characterised in that comprise the following steps:
Pre-simulated is carried out to topological structure of electric running status to be measured, passes through pre-simulated number of times, simulation precision and the power network of setting In the tripping operation probability of each bar transmission line of electricity combine the minimum load loss gauge of power network when simulating each time in the pre-simulated obtained Total number realization needed for calculating;
Operation of power networks state to be measured is always simulated, the minimum load loss amount of power network when being simulated each time in the total simulation of record With the trip condition of each bar transmission line of electricity in power network, according to the minimum load loss amount of power network and each bar transmission line of electricity trip condition Calculate each bar transmission line of electricity risk indicator;
By the certain amount of transmission line of electricity of the sequential selection of risk indicator from high to low and from selected certain amount of transmission line of electricity In select can structure section transmission line of electricity combination;
Effective power flow orientation consistency judgement is carried out to the circuit that can construct same section, if constructing all circuits of same section Effective power flow direction all same the section is then characterized as key sections.
2. a kind of power network key sections discriminating conduct according to claim 1, it is characterised in that total simulation time needed for described Several calculation formula are:
<mrow> <mi>M</mi> <mo>=</mo> <mfrac> <mrow> <mi>l</mi> <mi>n</mi> <mfrac> <mn>1</mn> <mi>&amp;beta;</mi> </mfrac> <mo>&amp;CenterDot;</mo> <mfrac> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msup> <mrow> <mo>&amp;lsqb;</mo> <msubsup> <mi>E</mi> <mi>j</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msubsup> <mo>-</mo> <mfrac> <mn>1</mn> <mi>L</mi> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msubsup> <mi>E</mi> <mi>j</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msubsup> <mo>&amp;rsqb;</mo> </mrow> <mn>2</mn> </msup> </mrow> <mi>L</mi> </mfrac> </mrow> <msup> <mrow> <mo>&amp;lsqb;</mo> <mfrac> <mn>1</mn> <mi>L</mi> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msubsup> <mi>E</mi> <mi>j</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msubsup> <mo>&amp;rsqb;</mo> </mrow> <mn>2</mn> </msup> </mfrac> </mrow>
Wherein, β is simulation precision, is above pre-simulated number of times,For the minimum load loss amount of power network in jth time simulation.
3. a kind of power network key sections discriminating conduct according to claim 1, it is characterised in that the transmission line of electricity risk The calculation of index is:
<mrow> <msub> <mi>R</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>M</mi> </munderover> <mrow> <mo>(</mo> <msubsup> <mi>E</mi> <mi>k</mi> <mrow> <mi>f</mi> <mi>o</mi> </mrow> </msubsup> <mo>&amp;CenterDot;</mo> <msub> <mi>s</mi> <mrow> <mi>i</mi> <mi>k</mi> </mrow> </msub> <mo>)</mo> </mrow> </mrow> <mi>M</mi> </mfrac> <mo>;</mo> </mrow>
Wherein, M number realizations for needed for,For the minimum load loss amount of power network in kth time simulation.
4. a kind of power network key sections discriminating conduct according to claim 1, it is characterised in that described certain amount of defeated The definition of electric wire travel permit number is:
<mrow> <mi>T</mi> <mo>=</mo> <mo>&amp;lsqb;</mo> <mfrac> <mi>N</mi> <mn>3</mn> </mfrac> <mo>&amp;rsqb;</mo> <mo>+</mo> <mn>1.</mn> </mrow>
Wherein N is total power transmission line travel permit number.
5. a kind of power network key sections discriminating conduct according to claim 1, it is characterised in that the pre-simulated number of times is 200 times, the tripping operation probability is 10%-50%, and the simulation precision is 0.01-0.05.
6. a kind of power network key sections discrimination system, it is characterised in that including:
Pre-simulated module:For carrying out pre-simulated to operation of power networks state to be measured, pass through pre-simulated number of times, the simulation precision of setting The minimum load that power network when being simulated each time in the pre-simulated obtained is combined with the tripping operation probability of each bar transmission line of electricity in power network is damaged Vector total number realization needed for calculating;
Total analog module:For always being simulated to operation of power networks state to be measured, power network when being simulated each time in the total simulation of record Minimum load loss amount and power network in each bar transmission line of electricity trip condition, according to the minimum load loss amount and each bar of power network Transmission line of electricity trip condition calculates each bar transmission line of electricity risk indicator;
Profile recognition module:Select for the certain amount of transmission line of electricity of sequential selection by risk indicator from high to low and therefrom The transmission line of electricity combination of energy structure section;
Discrimination module:For carrying out effective power flow orientation consistency judgement to the circuit for constituting the section, if composition is described disconnected The section is then characterized as key sections by the effective power flow direction all same of all circuits in face.
7. a kind of power network key sections discrimination system according to claim 6, it is characterised in that total simulation time needed for described Several calculations are:
<mrow> <mi>M</mi> <mo>=</mo> <mfrac> <mrow> <mi>l</mi> <mi>n</mi> <mfrac> <mn>1</mn> <mi>&amp;beta;</mi> </mfrac> <mo>&amp;CenterDot;</mo> <mfrac> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msup> <mrow> <mo>&amp;lsqb;</mo> <msubsup> <mi>E</mi> <mi>j</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msubsup> <mo>-</mo> <mfrac> <mn>1</mn> <mi>L</mi> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msubsup> <mi>E</mi> <mi>j</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msubsup> <mo>&amp;rsqb;</mo> </mrow> <mn>2</mn> </msup> </mrow> <mi>L</mi> </mfrac> </mrow> <msup> <mrow> <mo>&amp;lsqb;</mo> <mfrac> <mn>1</mn> <mi>L</mi> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>L</mi> </munderover> <msubsup> <mi>E</mi> <mi>j</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msubsup> <mo>&amp;rsqb;</mo> </mrow> <mn>2</mn> </msup> </mfrac> </mrow>
Wherein, β is simulation precision, is above pre-simulated number of times,For the minimum load loss amount of power network in jth time simulation.
8. a kind of power network key sections discrimination system according to claim 6, it is characterised in that the transmission line of electricity risk The calculation of index is:
<mrow> <msub> <mi>R</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>M</mi> </munderover> <mrow> <mo>(</mo> <msubsup> <mi>E</mi> <mi>k</mi> <mrow> <mi>f</mi> <mi>o</mi> </mrow> </msubsup> <mo>&amp;CenterDot;</mo> <msub> <mi>s</mi> <mrow> <mi>i</mi> <mi>k</mi> </mrow> </msub> <mo>)</mo> </mrow> </mrow> <mi>M</mi> </mfrac> <mo>;</mo> </mrow>
Wherein, M number realizations for needed for,For the minimum load loss amount of power network in kth time simulation.
9. a kind of power network key sections discrimination system according to claim 6, it is characterised in that described certain amount of defeated The definition of electric wire travel permit number is:
<mrow> <mi>T</mi> <mo>=</mo> <mo>&amp;lsqb;</mo> <mfrac> <mi>N</mi> <mn>3</mn> </mfrac> <mo>&amp;rsqb;</mo> <mo>+</mo> <mn>1</mn> </mrow>
Wherein N is total power transmission line travel permit number.
10. a kind of power network key sections discrimination system according to claim 6, it is characterised in that the pre-simulated number of times For 200 times, the tripping operation probability is 10%-50%, and the simulation precision is 0.01-0.05.
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