CN103401240B - Method for restoring observability of series compensator - Google Patents
Method for restoring observability of series compensator Download PDFInfo
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- CN103401240B CN103401240B CN201310351384.7A CN201310351384A CN103401240B CN 103401240 B CN103401240 B CN 103401240B CN 201310351384 A CN201310351384 A CN 201310351384A CN 103401240 B CN103401240 B CN 103401240B
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Abstract
The invention discloses a method for recovering observability of a series compensator, which is used for reading real-time data and a model, judging states of the series compensator and peripheral equipment and adding the states according to a pseudo measurement strategy. Because the active and reactive tidal flow measurement of branches is not generally arranged at the two ends of the series compensation device, the redundancy of local measurement near the series compensator is insufficient, and the state of a local system of the series compensator cannot be observed. The invention provides a method for restoring observability of a series compensator, which is characterized in that judgment is carried out according to the measuring condition of the series compensator, a branch load flow pseudo-measuring strategy is generated, the local measuring redundancy is improved, and the observability near the series compensator is restored. The method of the invention has no numerical stability and complex programming skill, and the calculation is simple, stable and reliable.
Description
Technical field
The present invention relates to a kind of method for recovering series compensator observability, belonging to dispatching automation of electric power systems field.
Background technology
Observability refers in Power system state estimation, utilizes existing measure configuration correctly can calculate the scope of electric network state amount.If the loss of data that telemechanical apparatus send or unavailablely just likely occur that local measures not enough situation, make that system is unobservable cannot carry out state estimation, so first should carry out Analysis on Observability before state estimation.
Existing Observability analysis of power system mainly contains two classes: Topology Algorithm and numerical algorithm.Topology Algorithm is that measurement amount is formed an observable spanning tree, and then detect the scope of spanning tree to determine observable scope by the method for search, this algorithm computational speed is fast, can overcome in numerical algorithm and be subject to rounding error impact.Numerical algorithm directly decomposes information matrix, if the matrix diagonals unit after decomposing does not occur zero, system is observation, otherwise system is unobservable.Topological method depends on the on off state of series compensator, if on off state is wrong, then topological analysis produces mistake, affects the precision of state estimation and the observability of system; Numerical method realizes complicated, needs very high art of programming, is difficult to judge the impact of genuine neutral element or rounding error when a very little numerical value appears in diagonal angle simultaneously.
The present invention is that the one provided is effective under National 863 planning item fund assistance, and the scope of application is wide, extensively can adapt to the method for domestic electrical system actual needs.
Summary of the invention
The object of the invention is to overcome the above-mentioned problems in the prior art, state estimation procedure being run more accurate.Because series compensation device two ends generally do not configure, branch road is meritorious, reactive power flow measures, and makes local near series compensator measure redundancy not enough, causes series compensator local system state unobservable.The present invention proposes a kind of method for recovering series compensator observability, namely measures situation according to series compensator and judges, generates and adds Branch Power Flow puppet measurement strategy, improve local and measure redundancy, recover the observability near series compensator.
The present invention is concrete by the following technical solutions:
For recovering a method for series compensator observability, it is characterized in that, said method comprising the steps of:
Step 1: read real-time metric data, comprise the voltage of bus, circuit first and last end meritorious and idle, Transformer Winding meritorious and idle;
Step 2: judge that series compensator first and last end is meritorious and whether effectively to measure, if head end is meritorious measure P
ip is measured with end is meritorious
jin have at least one invalid, then meritorious pseudo-measurement is created to the one end that wherein there is invalid meritorious measurement, and corresponding meritorious pseudo-measurement thed create is added the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
Step 3: measure all effectively if series compensator head and end is meritorious, then directly use the original meritorious measurement of head and end;
Step 4: judge that whether the idle measurement of series compensator first and last end is effective, if head end idle measurement Q
iwith end idle measurement Q
jin have at least one invalid, then to wherein exist invalid idle measurement one end create idle puppet measure, and by newly create idle puppet measure add current string mend association measurement chained list, and present topology node association measurement chained list;
Step 5: measurement that series compensator head and end is idle is all effective, then directly use the original idle measurement of head and end;
Step 6: by above-mentionedly to gain merit to series compensator, idlely add the pseudo-process measured, the metric data of the series compensator observability that is restored.
The present invention has following useful technique effect:
The strategy that the method that the present invention proposes can measure by adding series compensator puppet makes System recover observability, for state estimation procedure provides sufficient input metric data, improve the accuracy of the result of state estimation procedure runnability and state estimation procedure.
Accompanying drawing explanation
Fig. 1 is a kind of method implementing procedure figure for recovering series compensator observability provided by the invention.
Embodiment
Below in conjunction with Figure of description, technical scheme of the present invention is described in further details.
As shown in Figure 1, be the concrete implementing procedure of this invention.Also in conjunction with specific embodiments technical scheme of the present invention is expressed in further detail according to Figure of description 1:
Step 1: read data acquisition and supervisory control system (supervisory control and data acquistion,
SCADA), the real-time dynamic data of EMS (energy management system, EMS), WAMS (widearea measurement system, WAMS) and electric network model.Data mainly comprise: the electric current of circuit, voltage, power, the voltage of transformer, power.Electric network model mainly comprises: the resistance of circuit, reactance, the resistance of transformer, reactance; The resistance of series compensator, reactance, nominal reactive capacity;
Step 2: judge that whether the meritorious measurement of series compensator first and last end is effective, judges to measure whether effective concrete grammar is: be greater than-1 if measured and in measuring range, then think that measurement effectively; Otherwise, then think that measurement is invalid.If head end is meritorious measure P
ip is measured with end is meritorious
jin have at least one invalid, then meritorious pseudo-measurement is created to the one end that wherein there is invalid meritorious measurement, and corresponding meritorious pseudo-measurement thed create is added the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
If 2.1 head ends are meritorious measure P
ieffectively, end is meritorious measures P
jinvalid, then:
(1) judge whether end exists original meritorious measurement P
jif existed, then mark the original meritorious measurement P of end
jfor bad data, participant status is not estimated;
(2) the meritorious pseudo-measurement P of end is created
j-pseudo, and make P
j-pseudo=-P
i;
(3) pseudo-measurement of being gained merit by the end newly created adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
If 2.2 series compensator head ends are meritorious measure P
iinvalid, end P measures P
jeffectively, then:
(1) judge whether head end exists original meritorious measurement P
iif existed, then mark the original meritorious measurement P of head end
ifor bad data, participant status is not estimated;
(2) the meritorious pseudo-measurement P of head end is created
i-pseudo, and make P
i-pseudo=-P
j;
(3) pseudo-measurement of being gained merit by the head end newly created adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association.
If 2.3 series compensator head ends are meritorious measure P
iinvalid, end is meritorious measures P
jinvalid, then:
(1) judge whether end exists original meritorious measurement P
jif existed, then mark the original meritorious measurement P of end
jfor bad data, participant status is not estimated;
(2) judge whether head end exists original meritorious measurement P
iif existed, then mark the original meritorious measurement P of head end
ifor bad data, participant status is not estimated;
(3) the series compensator number that series compensator first and last end place topological node connects is compared:
If 1. series compensator head end place topological node only connects 1 series compensator, then:
1) the meritorious pseudo-measurement P of series compensator head end is created
i-pseudo, (meritorious pseudo-measure equal head end topological node to gain merit amount of unbalance), obtains head end topological node and to gain merit amount of unbalance P
i-imbalance, and make meritorious pseudo-measurement of head end equal head end topological node and to gain merit amount of unbalance, that is: P
i-pseudo=P
i-imbalance;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association.
3) the meritorious pseudo-measurement P of series compensator end is created
j-pseudo, and end is gained merit pseudo-measure that the head end equaling negative is meritorious pseudo-ly to be measured, that is: P
j-pseudo=-P
i-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association.
If 2. series compensator end place topological node only connects 1 string benefit, then:
1) create the meritorious puppet of string benefit end and measure P
j-pseudo, obtain end topological node and to gain merit amount of unbalance P
j-imbalance, and make meritorious pseudo-measurement of end equal end topological node and to gain merit amount of unbalance, that is: P
j-pseudo=P
j-imbalance;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) create the meritorious puppet of string benefit head end and measure P
i-pseudo, and head end is gained merit pseudo-measure that the end equaling negative is meritorious pseudo-ly measures P
i-pseudo=-P
j-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association.
If the string that 3. series compensator head end place topological node connects mends number N
ibe not more than the string benefit number N that string mends the topological node connection of end place
j, then:
1) the meritorious pseudo-measurement P of head end is created
i-pseudo, obtain head end topological node and to gain merit amount of unbalance P
i-imbalance, and make head end pseudo-measurement of gaining merit equal head end topological node and to gain merit string benefit number, that is: the P that amount of unbalance connects divided by head end place topological node
i-pseudo=P
i-imbalance/ N
i;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) create the meritorious puppet of string benefit end and measure P
j-pseudo, and end is gained merit pseudo-measure that the head end equaling negative is meritorious pseudo-ly to be measured, that is: P
j-pseudo=-P
i-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association.
If the string that 4. series compensator head end place topological node connects mends number N
ibe greater than the string benefit number N that string mends the topological node connection of end place
j, then:
1) the meritorious pseudo-measurement P of end is created
j-pseudo, obtain end topological node and to gain merit amount of unbalance P
j-imbalance, and make end pseudo-measurement of gaining merit equal end topological node and to gain merit string benefit number, that is: the P that amount of unbalance connects divided by end place topological node
j-pseudo=P
j-imbalance/ N
j;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) create the meritorious puppet of string benefit head end and measure P
i-pseudo, and head end is gained merit pseudo-measure that the end equaling negative is meritorious pseudo-ly to be measured, that is: P
i-pseudo=-P
j-pseudo;
4) puppet newly created is measured the measurement chained list adding the association of current string benefit, and the measurement chained list of present topology node association.
Step 3: measure all effectively if series compensator head and end is meritorious, then directly use the original meritorious measurement of head and end;
Step 4: judge that whether the idle measurement of series compensator first and last end is effective, if head end idle measurement Q
iwith end idle measurement Q
jin have at least one invalid, then to wherein exist invalid idle measurement one end create idle puppet measure, and by newly create idle puppet measure add current string mend association measurement chained list, and present topology node association measurement chained list;
If 4.1 series compensator head end idle measurement Q
ieffectively, end idle measurement Q
jinvalid, then:
(1) judge whether end exists original idle measurement Q
jif existed, then mark the original Q of end
jfor bad data, participant status is not estimated;
(2) create the idle puppet of end and measure Q
j-pseudo, and make Q
j-pseudo=-Q
i;
(3) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
If 4.2 strings mend head end idle measurement Q
iinvalid, end is idle measurement Q
jeffectively, then:
(1) judge whether head end exists original idle measurement Q
iif existed, then mark the original Q of head end
ifor bad data, participant status is not estimated;
(2) create the idle puppet of head end and measure Q
i-pseudo, and make Q
i-pseudo=-Q
j;
(3) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association.
If 4.3 strings mend head end idle measurement Q
iinvalid, end is idle measurement Q
jinvalid, then:
(1) judge whether end exists original idle measurement Q
jif existed, then mark the original idle measurement Q of end
jfor bad data, participant status is not estimated;
(2) judge whether head end exists original idle measurement Q
iif existed, then mark the original idle measurement Q of head end
ifor bad data, participant status is not estimated;
(3) the string benefit number that string mends the topological node connection of first and last end place is compared,
If 1. string benefit head end place topological node only connects 1 string benefit, then:
1) create string and mend head end idle puppet measurement Q
i-pseudo, obtain the idle amount of unbalance Q of head end topological node
i-imbalance, and make the idle puppet measurement of head end equal the idle amount of unbalance of head end topological node, that is: Q
i-pseudo=Q
i-imbalance;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association.
3) create string and mend end idle puppet measurement Q
j-pseudo, and make the idle puppet of end measure the idle puppet measurement of the head end equaling negative, that is: Q
j-pseudo=-Q
i-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association.
If 2. string benefit end place topological node only connects 1 string benefit, then
1) create string and mend end idle puppet measurement Q
j-pseudo, obtain the idle amount of unbalance Q of end topological node
j-imbalance, and make the idle puppet measurement of end equal the idle amount of unbalance of end topological node, that is: Q
j-pseudo=Q
j-imbalance;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) create string and mend head end idle puppet measurement Q
i-pseudo, Q
i-pseudo=-Q
j-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association.
If 3. string mends the string benefit number N that head end place topological node connects
ibe not more than the string benefit number N that string mends the topological node connection of end place
j, then:
1) create the idle puppet of head end and measure Q
i-pseudo, obtain the idle amount of unbalance Q of head end topological node
i-imbalance, and the string benefit number, that is: the Q that the idle puppet of head end are measured equal the idle amount of unbalance of head end topological node to connect divided by head end place topological node
i-pseudo=Q
i-imbalance/ N
i;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) create string and mend end idle puppet measurement Q
j-pseudo, Q
j-pseudo=-Q
i-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association.
If 4. string mends the string benefit number N that head end place topological node connects
ibe greater than the string benefit number N that string mends the topological node connection of end place
j:
1) create the idle puppet of end and measure Q
j-pseudo, write this idle puppet exactly and measure how value, obtain the idle amount of unbalance Q of end topological node
j-imbalance, and make Q
j-pseudo=Q
j-imbalance/ N
j;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) create string and mend head end idle puppet measurement Q
i-pseudo, Q
i-pseudo=-Q
j-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association.
Step 5: measurement that series compensator head and end is idle is all effective, then directly use the original idle measurement of head and end;
Step 6: by above-mentionedly to gain merit to series compensator, idlely add the pseudo-process measured, the metric data of the series compensator observability that is restored.
Present invention applicant has done detailed description and description in conjunction with Figure of description to embodiments of the invention; but those skilled in the art should understand that; above embodiment is only the preferred embodiments of the invention; detailed explanation is just in order to help reader to understand spirit of the present invention better; and be not limiting the scope of the invention; on the contrary, any any improvement of doing based on invention of the present invention spirit or modify all should drop within protection scope of the present invention.
Claims (2)
1. for recovering a method for series compensator observability, it is characterized in that, said method comprising the steps of:
Step 1: read real-time metric data, comprise the voltage of bus, circuit first and last end meritorious and idle, Transformer Winding meritorious and idle;
Step 2: judge that series compensator first and last end is meritorious and whether effectively to measure, if head end is meritorious measure P
ip is measured with end is meritorious
jin have at least one invalid, then meritorious pseudo-measurement is created to the one end that wherein there is invalid meritorious measurement, and corresponding meritorious pseudo-measurement thed create is added the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
Step 3: measure all effectively if series compensator head and end is meritorious, then directly use the original meritorious measurement of head and end;
Step 4: judge that whether the idle measurement of series compensator first and last end is effective, if head end idle measurement Q
iwith end idle measurement Q
jin have at least one invalid, then to wherein exist invalid idle measurement one end create idle puppet measure, and by newly create idle puppet measure add current string mend association measurement chained list, and present topology node association measurement chained list;
Step 5: measurement that series compensator head and end is idle is all effective, then directly use the original idle measurement of head and end;
Step 6: by above-mentionedly to gain merit to series compensator, idlely add the pseudo-process measured, the metric data of the series compensator observability that is restored;
In described step 2,
If 2.1 head ends are meritorious measure P
ieffectively, end is meritorious measures P
jinvalid, then:
(1) judge whether end exists original meritorious measurement P
jif existed, then mark the original meritorious measurement P of end
jfor bad data, participant status is not estimated;
(2) the meritorious pseudo-measurement P of end is created
j-pseudo, and make P
j-pseudo=-P
i;
(3) pseudo-measurement of being gained merit by the end newly created adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
If 2.2 series compensator head ends are meritorious measure P
iinvalid, end P measures P
jeffectively, then:
(1) judge whether head end exists original meritorious measurement P
iif existed, then mark the original meritorious measurement P of head end
ifor bad data, participant status is not estimated;
(2) the meritorious pseudo-measurement P of head end is created
i-pseudo, and make P
i-pseudo=-P
j;
(3) pseudo-measurement of being gained merit by the head end newly created adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
If 2.3 series compensator head ends are meritorious measure P
iinvalid, end is meritorious measures P
jinvalid, then:
(1) judge whether end exists original meritorious measurement P
jif existed, then mark the original meritorious measurement P of end
jfor bad data, participant status is not estimated;
(2) judge whether head end exists original meritorious measurement P
iif existed, then mark the original meritorious measurement P of head end
ifor bad data, participant status is not estimated;
(3) the series compensator number that series compensator first and last end place topological node connects is compared:
If 1. series compensator head end place topological node only connects 1 series compensator, then:
1) the meritorious pseudo-measurement P of series compensator head end is created
i-pseudo, obtain head end topological node and to gain merit amount of unbalance P
i-imbalance, and make meritorious pseudo-measurement of head end equal head end topological node and to gain merit amount of unbalance, that is: P
i-pseudo=P
i-imbalance;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) the meritorious pseudo-measurement P of series compensator end is created
j-pseudo, and end is gained merit pseudo-measure that the head end equaling negative is meritorious pseudo-ly to be measured, that is: P
j-pseudo=-P
i-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
If 2. series compensator end place topological node only connects 1 string benefit, then:
1) create the meritorious puppet of string benefit end and measure P
j-pseudo, obtain end topological node and to gain merit amount of unbalance P
j-imbalance, and make meritorious pseudo-measurement of end equal end topological node and to gain merit amount of unbalance, that is: P
j-pseudo=P
j-imbalance;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) create the meritorious puppet of string benefit head end and measure P
i-pseudo, and head end is gained merit pseudo-measure that the end equaling negative is meritorious pseudo-ly measures P
i-pseudo=-P
j-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
If the string that 3. series compensator head end place topological node connects mends number N
ibe not more than the string benefit number N that string mends the topological node connection of end place
j, then:
1) the meritorious pseudo-measurement P of head end is created
i-pseudo, obtain head end topological node and to gain merit amount of unbalance P
i-imbalance, and make head end pseudo-measurement of gaining merit equal head end topological node and to gain merit string benefit number, that is: the P that amount of unbalance connects divided by head end place topological node
i-pseudo=P
i-imbalance/ N
i;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) create the meritorious puppet of string benefit end and measure P
j-pseudo, and end is gained merit pseudo-measure that the head end equaling negative is meritorious pseudo-ly to be measured, that is: P
j-pseudo=-P
i-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
If the string that 4. series compensator head end place topological node connects mends number N
ibe greater than the string benefit number N that string mends the topological node connection of end place
j, then:
1) the meritorious pseudo-measurement P of end is created
j-pseudo, obtain end topological node and to gain merit amount of unbalance P
j-imbalance, and make end pseudo-measurement of gaining merit equal end topological node and to gain merit string benefit number, that is: the P that amount of unbalance connects divided by end place topological node
j-pseudo=P
j-imbalance/ N
j;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) create the meritorious puppet of string benefit head end and measure P
i-pseudo, and head end is gained merit pseudo-measure that the end equaling negative is meritorious pseudo-ly to be measured, that is: P
i-pseudo=-P
j-pseudo;
4) puppet newly created is measured the measurement chained list adding the association of current string benefit, and the measurement chained list of present topology node association.
2. the method for recovering series compensation tolerance observability according to claim 1, is characterized in that:
In step 4,
If 3.1 series compensator head end idle measurement Q
ieffectively, end idle measurement Q
jinvalid, then:
(1) judge whether end exists original idle measurement Q
jif existed, then mark the original Q of end
jfor bad data, participant status is not estimated;
(2) create the idle puppet of end and measure Q
j-pseudo, and make Q
j-pseudo=-Q
i;
(3) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
If 3.2 strings mend head end idle measurement Q
iinvalid, end is idle measurement Q
jeffectively, then:
(1) judge whether head end exists original idle measurement Q
iif existed, then mark the original Q of head end
ifor bad data, participant status is not estimated;
(2) create the idle puppet of head end and measure Q
i-pseudo, and make Q
i-pseudo=-Q
j;
(3) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
If 3.3 strings mend head end idle measurement Q
iinvalid, end is idle measurement Q
jinvalid, then:
(1) judge whether end exists original idle measurement Q
jif existed, then mark the original idle measurement Q of end
jfor bad data, participant status is not estimated;
(2) judge whether head end exists original idle measurement Q
iif existed, then mark the original idle measurement Q of head end
ifor bad data, participant status is not estimated;
(3) the string benefit number that string mends the topological node connection of first and last end place is compared,
If 1. string benefit head end place topological node only connects 1 string benefit, then:
1) create string and mend head end idle puppet measurement Q
i-pseudo, obtain the idle amount of unbalance Q of head end topological node
i-imbalance, and make the idle puppet measurement of head end equal the idle amount of unbalance of head end topological node, that is: Q
i-pseudo=Q
i-imbalance;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) create string and mend end idle puppet measurement Q
j-pseudo, and make the idle puppet of end measure the idle puppet measurement of the head end equaling negative, that is: Q
j-pseudo=-Q
i-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
If 2. string benefit end place topological node only connects 1 string benefit, then
1) create string and mend end idle puppet measurement Q
j-pseudo, obtain the idle amount of unbalance Q of end topological node
j-imbalance, and make the idle puppet measurement of end equal the idle amount of unbalance of end topological node, that is: Q
j-pseudo=Q
j-imbalance;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) create string and mend head end idle puppet measurement Q
i-pseudo, Q
i-pseudo=-Q
j-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
If 3. string mends the string benefit number N that head end place topological node connects
ibe not more than the string benefit number N that string mends the topological node connection of end place
j, then:
1) create the idle puppet of head end and measure Q
i-pseudo, obtain the idle amount of unbalance Q of head end topological node
i-imbalance, and the string benefit number, that is: the Q that the idle puppet of head end are measured equal the idle amount of unbalance of head end topological node to connect divided by head end place topological node
i-pseudo=Q
i-imbalance/ N
i;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) create string and mend end idle puppet measurement Q
j-pseudo, Q
j-pseudo=-Q
i-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
If 4. string mends the string benefit number N that head end place topological node connects
ibe greater than the string benefit number N that string mends the topological node connection of end place
j:
1) create the idle puppet of end and measure Q
j-pseudo, write this idle puppet exactly and measure how value, obtain the idle amount of unbalance Q of end topological node
j-imbalance, and make Q
j-pseudo=Q
j-imbalance/ N
j;
2) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association;
3) create string and mend head end idle puppet measurement Q
i-pseudo, Q
i-pseudo=-Q
j-pseudo;
4) the new puppet created measures and adds the measurement chained list that current string mends association, and the measurement chained list of present topology node association.
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