CN105322553B - Power distribution network capacitor shunt compensation computational methods based on local tree - Google Patents
Power distribution network capacitor shunt compensation computational methods based on local tree Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
A kind of power distribution network capacitor shunt compensation computational methods based on local tree, obtain power distribution network information, initial calculation shunt capacitor initial compensation scheme, judge whether local tree needs to divide again, corresponding local tree is divided, compensation point is determined respectively to each local tree, judge whether local tree needs re-optimization, to the further optimization of compensation point, comparative effectiveness output investment ratio simultaneously carries out cycle criterion, each compensation node serial number under the conditions of exporting greatest benefit output investment ratio and their compensation capacity.The present invention can provide capacitor shunt compensation place and the compensation capacity of radial distribution networks, the significantly more efficient line loss per unit reduced in power distribution network running, improve the voltage's distribiuting with network operation, have the function that to improve distribution economical operation benefit and power supply reliability, there is very high practical value.
Description
Technical field
The present invention relates to a kind of power distribution network compensation calculation method, particularly, is related in a kind of power distribution network based on local tree
Piezoelectric capsule shunt compensation computational methods.
Background technology
Power distribution network not only provides relevant power to load, also provides reactive power.On the one hand, reactive power number directly
The quality of voltage of power distribution network is influenceed, voltage loss is directly related with the reactive power numerical values recited of supply line；On the other hand, it is existing
Have that distribution is larger, the reactive power of all loads of power distribution network certainly will cause branch road all by the generator transmission of distal end
Electric current increase, so as to increase theory wire loss, reduce economic benefit；Finally, under conditions of circuit transmission capacity is certain, nothing is transmitted
Work(must reduce the active transmission of circuit, increase the investment for trnasforming urban land fund of power network.Power distribution network is idle, which to carry out local compensation, effectively to solve
Certainly problem above, therefore study power distribution network capacitor shunt compensation and be of great immediate significance.
At present, the particle swarm optimization algorithm step of distribution capacitor shunt compensation is as follows：
1) initial data, power distribution network supplemental characteristic, load data are read in；And particle cluster algorithm parameter is set, population scale,
Inertia weight scope, accelerator coefficient and speed span etc.；
2) initialization compensation node and capacity, iterations are equal to 1, provide the speed of each particle；
3) Load flow calculation under peak load, decide whether newly-increased compensation node, calculate adaptive value；
4) in restriction range, particle rapidity and position are updated；
5) more new particle part and global optimum position；
6) reach maximum iteration, export optimum results.
But the problem of technology, is：Because particle cluster algorithm is bad for Discretization processing, and power distribution network is idle
Compensation is to determine compensation point and compensation group number again, is a double-deck discretization optimization problem, it is easy to fall into locally optimal solution, especially
When it is that power distribution network is on a grand scale, optimal compensation effect is extremely difficult to.
Therefore, the defects of how overcoming prior art, there is provided a kind of effective power distribution network capacitor shunt compensation
The computational methods of point and compensation capacity, turn into the technical problem of prior art urgent need to resolve.
The content of the invention
The defects of it is an object of the invention to overcome prior art and provide it is a kind of based on local tree theory power distribution network electricity
Container shunt compensation computational methods.
To use following technical scheme up to this purpose, the present invention：
A kind of power distribution network capacitor shunt compensation computational methods based on local tree, comprise the following steps：
Step S1. obtains power distribution network information Step:Each distribution transforming metric data situation of distribution is obtained, that is, it is maximum to obtain load year
Active and reactive load, the topological data table and topology relation table of the actual equipment with network operation and element are obtained, obtains power distribution network
Reactive-load compensation relevant information；
Step S2. shunt capacitor initial compensation scheme calculation procedures：Whole power distribution network is considered as a local tree, it is assumed that
An only node to be compensated, object function is up to benefit output investment ratio, each node is calculated as treating by the use of step-up procedure
Benefit output investment ratio after compensation point, the maximum node of benefit output investment ratio as compensation point, and using corresponding benefit output investment ratio as
The greatest benefit output investment ratio of whole power distribution network, while record the numbering and compensation capacity of compensation point；
Step S3. local trees whether again partiting step：For existing local tree, if its load or burden without work is less than to be compensated
The single group capacity of capacitor, the local tree is not subdivided, is also not provided with compensation point；If local tree only has two nodes, the office
Or else portion tree also divides；If all local trees no longer need to divide, step S9 is turned to；Otherwise, if there is local tree to draw again
Point, turn to step S4；
Step S4. local tree partiting steps：Corresponding local tree is divided again, for load or burden without work to be compensated
Maximum local tree, take a degree more than 2 and maximum node is since each branch road that it is connected, utilize depth-first search
Algorithm, the local tree number with number of degrees same number is obtained, if multiple nodes meet conditions above, randomly selects a node,
The degree is the circuitry number that node is connected；
Each local trees of step S5. determine compensation point step respectively：For marking off the local tree come, only one is being specified
Under conditions of compensating node, the benefit of each node of cycle calculations invests the compensation capacity under when benefit output investment ratio maximal condition,
And then determine an optimal compensation node；If the benefit output investment ratio of certain local tree is less than 1, the local tree is not provided with compensating
Point；After every local tree all determines compensation point and after compensation capacity, if there is a local tree benefit output investment ratio to be more than 1, calculate
The current benefit output investment ratio of distribution；
Step S6. local trees whether re-optimization step：Judge whether all local tree benefit output investment ratios are both less than 1, if
It is to turn to step S9, otherwise turns to step S7, is calculated for the further optimization of compensation point；
Step S7. compensation points further optimize calculation procedure：Choose the compensation node of local tree respectively upstream or
One node of downstream under person, now the compensation point of other local trees is motionless, and the compensation point is calculated using particle swarm optimization algorithm
Benefit output investment ratio upstream or after lower downstream respectively；Repeat more than choose calculating process, when existing all local trees all
After being selected once, in these benefit output investment ratios, the value of a maximum benefit output investment ratio is chosen, the maximum benefit investment
The value of ratio corresponds to certain local tree upstream or one node of lower downstream, if the maximum value is more than current benefit output investment ratio,
It is then that the compensation point of certain local tree corresponding to the maximum value is actual upstream or one position of lower downstream, and by the maximum
Value be assigned to current benefit output investment ratio；Above procedure is repeated, untill current benefit output investment ratio no longer increases；
Step S8. benefit output investment ratio comparison steps：Whether current benefit output investment ratio is more than existing greatest benefit output investment ratio,
If being assigned to greatest benefit output investment ratio more than by the value, step S3 is turned to,；Otherwise step S8 is turned to；
Step S9. compensation schemes result exports step：Export each compensation node serial number under the conditions of greatest benefit output investment ratio
With their compensation capacity.
Preferably, the distribution network var compensation relevant information includes the compensation time limit, electricity price, discount rate, obtains to be compensated
Capacitor single group capacity and price.
Preferably, in step S2 shunt capacitor shunt compensation scheme calculation procedures, described step-up procedure refers to,
Unit compensation capacity is stepped up to node to be compensated, its benefit output investment ratio is calculated, untill benefit output investment ratio no longer increases.
Preferably, in step S2 and S6, the reactive-load compensation of single local tree uses the interior point method or base of Non-Linear Programming
In the optimization method of sensitivity.
Preferably, as first time operating procedure S4, the maximum local tree of the load or burden without work to be compensated is entirely to match somebody with somebody
Power network.
The present invention can provide capacitor shunt compensation place and the compensation capacity of radial distribution networks, significantly more efficient drop
Line loss per unit in low power distribution network running, improve with network operation voltage's distribiuting, reach improve distribution economical operation benefit and
The effect of power supply reliability, there is very high practical value.
Brief description of the drawings
Fig. 1 is the power distribution network capacitor shunt compensation computational methods based on local tree according to the specific embodiment of the invention
Flow chart；
Fig. 2 is distribution network nodal information figure according to a particular embodiment of the invention.
Embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that in order to just
Part related to the present invention rather than entire infrastructure are illustrate only in description, accompanying drawing.
Embodiment 1
Referring to Fig. 1, the power distribution network capacitor shunt compensation based on local tree according to the specific embodiment of the invention is shown
The flow chart of computational methods：
Step S1. obtains power distribution network information Step:Each distribution transforming metric data situation of distribution is obtained, that is, it is maximum to obtain load year
Active and reactive load, the topological data table and topology relation table of the actual equipment with network operation and element are obtained, obtains power distribution network
Reactive-load compensation relevant information；
Preferably, the distribution network var compensation relevant information includes the compensation time limit, electricity price, discount rate, obtains to be compensated
Capacitor single group capacity and price；
Step S2. shunt capacitor initial compensation scheme calculation procedures：Whole power distribution network is considered as a local tree, it is assumed that
An only node to be compensated, object function is up to benefit output investment ratio, each node is calculated as treating by the use of step-up procedure
Benefit output investment ratio after compensation point, the maximum node of benefit output investment ratio as compensation point, and using corresponding benefit output investment ratio as
The greatest benefit output investment ratio of whole power distribution network, while record the numbering and compensation capacity of compensation point；
Step S3. local trees whether again partiting step：For existing local tree, if its load or burden without work is less than to be compensated
The single group capacity of capacitor, the local tree is not subdivided, is also not provided with compensation point；If local tree only has two nodes, the office
Or else portion tree also divides；If all local trees no longer need to divide, step S9 is turned to；Otherwise, if there is local tree to draw again
Point, turn to step S4；
Step S4. local tree partiting steps：Corresponding local tree is divided again, for load or burden without work to be compensated
Maximum local tree, take a degree more than 2 and maximum node is since each branch road that it is connected, utilize depth-first search
Algorithm, the local tree number with number of degrees same number is obtained, if multiple nodes meet conditions above, randomly selects a node,
The degree is the circuitry number that node is connected；
Particularly, in step s 4, the maximum local tree of the load or burden without work to be compensated is possible to as whole power distribution network,
The situation occurs when first time operating procedure S4.
Each local trees of step S5. determine compensation point step respectively：For marking off the local tree come, only one is being specified
Under conditions of compensating node, the benefit of each node of cycle calculations invests the compensation capacity under when benefit output investment ratio maximal condition,
And then determine an optimal compensation node；If the benefit output investment ratio of certain local tree is less than 1, the local tree is not provided with compensating
Point；After every local tree all determines compensation point and after compensation capacity, if there is a local tree benefit output investment ratio to be more than 1, calculate
The current benefit output investment ratio of distribution, as long as being provided with optimal compensation node, you can calculate the current benefit output investment ratio of distribution；
Step S6. local trees whether re-optimization step：Judge whether all local tree benefit output investment ratios are both less than 1, if
It is to turn to step S9, otherwise turns to step S7, is calculated for the further optimization of compensation point；
Step S7. compensation points further optimize calculation procedure：Choose the compensation node of local tree respectively upstream or
One node of downstream under person, now the compensation point of other local trees is motionless, and the compensation point is calculated using particle swarm optimization algorithm
Benefit output investment ratio upstream or after lower downstream respectively；Repeat more than choose calculating process, when existing all local trees all
After being selected once, because every local tree calculates two-profitabilities output investment ratio upstream and downstream, such benefit output investment ratio
Number be multiplied by 2 for local tree number, in these benefit output investment ratios, choose the value of a maximum benefit output investment ratio, this is most
The value of big benefit output investment ratio corresponds to certain local tree upstream or one node of lower downstream, if the value is thrown more than current benefit
Provide ratio, then it is the compensation point of certain local tree corresponding to the value is actual upstream or one position of lower downstream, and the value is assigned
It is worth to current benefit output investment ratio；Above procedure is repeated, untill current benefit output investment ratio no longer increases, i.e., by upward respectively
Trip or one position of lower downstream, cycle calculations, obtain compensation point of the returns of investment than maximum.
Step S8. benefit output investment ratio comparison steps：Whether current benefit output investment ratio is more than existing greatest benefit output investment ratio,
If being assigned to greatest benefit output investment ratio more than by the value, step S3 is turned to,；Otherwise step S8 is turned to；
Step S9. compensation schemes result exports step：Export each compensation node serial number under the conditions of greatest benefit output investment ratio
With their compensation capacity.
Preferably, in step S2 shunt capacitor shunt compensation scheme calculation procedures, described step-up procedure refers to,
Unit compensation capacity (1 kilovar) is stepped up to node to be compensated, calculates its benefit output investment ratio, until benefit output investment ratio no longer increases
Untill.
It is further preferred that in step S2 and S6, the reactive-load compensation of single local tree uses the interior point of Non-Linear Programming
Method or the optimization method based on sensitivity.
Embodiment 2：
Referring to Fig. 2, a 11 node distributions are shown, its reactive-load compensation calculation procedure is as follows：
Step S1：The power distribution network information of acquisition is as shown in the table：
Table 1, power distribution network information
Reactive-load compensation information is as shown in the table：
| Type | Electricity price | Discount rate | Run the time limit | Single group capacity | Single group price |
| Numerical value | 0.82 | 0.01 | 5 | 25kvar | 2.5 ten thousand yuan |
The reactive-load compensation information of table 2.
Step S2：It is a local tree to think whole power distribution network, using benefit output investment ratio as object function, using being stepped up
Method calculates each node as the benefit output investment ratio after node to be compensated, the comparison of the benefit output investment ratio through each node, obtains benefit
Output investment ratio maximum is node 4, and maximum benefit output investment ratio is 1.743, compensation capacity 100kvar；
Step S3：Current distribution is exactly a local tree, node number 11, meets the condition more than 2, to be compensated is total
Load or burden without work is 217kvar, more than single group capacity 25kvar, turns to step 4；
Step S4：The degree of node 3,5 and 8 is all 3, meets the condition for being more than degree 2, node 3 is randomly choosed, according to node 3
And Depth Priority Algorithm is utilized, searched for respectively since 3 branch roads that node 3 is connected, distribution is divided into 3 parts
Tree, local tree 1 include node 1,2,3, root node 1；Local tree 2 includes node 3,4,5,6,11, and root node is 3；Local tree 3
Include node 3,7,8,9,10；
Step S5：For the separate compensation of local tree 1, optimal compensation point is node 2, and compensation capacity is 25kvar, and benefit is thrown
Money is than being 0.8, it is contemplated that benefit output investment ratio is less than 1, that is to say, that investment is more than income, the uncompensation capacity of local tree 1；For office
The separate compensation of portion tree 2, the compensation node after optimization calculates is node 11, and compensation capacity is 75kvar, and benefit output investment ratio is 1.59,
More than 1, can compensate；For the separate compensation of local tree 3, the compensation node after optimization is node 10, and compensation capacity is 50kvar,
It is 1.68 to calculate benefit output investment ratio, more than 1, can be compensated；The current benefit output investment ratio for calculating whole distribution is 1.632；
Step S6：Local tree 2 and 3 can optimize, and turn to step S7；
Step S7：One position of the upward downstream of compensation node 11 to local tree 2, is moved to node 5, now local tree
3 compensation node holding position 10 is constant, using particle cluster algorithm calculate the benefit output investment ratio of whole distribution is 1.713；Again
One position of the upward downstream of compensation node 10 to local tree 3, is moved to node 8, and now the compensation node of local tree 2 is kept
Position 11 is constant, using particle cluster algorithm calculate the benefit output investment ratio of whole distribution is 1.727；It can be seen that 1.727 are more than
1.714, and it is more than current benefit output investment ratio 1.632, current benefit output investment ratio is assigned to by 1.727, and select the benefit of local tree 3
Repay and be a little actually moved to node 8.To one position of the upward downstream of compensation point 11 of local tree 2, node 5 is moved to, in part
Under conditions of the compensation point holding position node 8 of tree 3 is constant, calculate to obtain whole distribution benefit investment using particle swarm optimization algorithm
Than for 1.865；To one position of the upward downstream of compensation point 8 of local tree 3, compensation point 7, the compensation point of local tree 2 are moved to
Position keeps node 11 constant, and the benefit output investment ratio that whole distribution is calculated using particle swarm optimization algorithm is 1.717；It can be seen that
1.865 are more than 1.717, also greater than current returns of investment, 1.727, therefore the compensation point of local tree 2 is moved to its upstream is actual
One node, is moved to node 5, and the compensation point of local tree 3 keeps node 8 constant.It is constant to be calculated at the compensation point of local tree 3
Under the premise of, no matter the compensation point of local tree 2 is moved to node 4 or 6, its returns of investment is both less than current benefit output investment ratio；Through
Calculate under conditions of the compensation point of local tree 2 is constant, no matter the compensation point of local tree 3 is moved to node 7 or node 9, calculate
Benefit output investment ratio be both less than current benefit output investment ratio, so, no longer motion compensation point, the compensation point of local tree 2 is 5, local
The compensation point of tree 3 is 8, and current benefit output investment ratio is 1.865；
Step S8：Current benefit output investment ratio 1.865 is more than greatest benefit output investment ratio 1.743, and greatest benefit output investment ratio is more
1.865 are changed to, turns to step S3；
Step S3 to S6 cyclic process is given below：
Step S3：The node number of local tree 2 is 5, and more than 2, load or burden without work to be compensated is 120kvar, is held more than single group
25kvar is measured, local 2 can divide again；The node number of local tree 3 is 5, and more than 2, load or burden without work to be compensated is
77kvar, more than single group capacity 25kvar, it can divide again；
Step S4：Local tree 2 is divided into 3 local trees according to node 5, i.e. local tree 21 includes node 3,4,5, root section
Point is 3, and total load or burden without work is 32kvar, and local tree 22 includes node 5,11, and root node is 5, and total load or burden without work is 72kvar, office
Portion tree 23 includes node 5,6, and root node is 5, and total load or burden without work is 16kvar,.Local tree 3 is further subdivided into 3 according to node 8
Local tree, local tree 31 include node 3,7,8, and root node is node 3, and total load or burden without work is 25kvar, and local tree 32 includes section
Point 8,9, root node is node 8, and total load or burden without work is 20kvar, and local tree 33 includes node 8,10, and root node is node 8, always
Load or burden without work is 32kvar；
Step S5:The each local tree separate compensation marked off to step S4, and benefit output investment ratio is calculated, calculating to own
Benefit output investment ratio be both less than 1, that is, each local tree is all not provided with compensation point；
Step S6：Step S4 each compensation point does not optimize further necessary, turns to step S9；
Step S9：Last compensation node is node 5 and 8, and the compensation capacity of node 5 is 75kvar, and the compensation of node 8 is held
Amount is 50kvar, and benefit output investment ratio is 1.865.
As a comparison case, compensated according to particle swarm optimization, be compensated all is a little for node 5 and node 7, compensation capacity
Single group 50kvar, benefit output investment ratio are 1.761.
Therefore, the present invention makes compensation point be more uniformly distributed distribution in the space of distribution, realizes distribution relative to prior art
The purpose of reactive power compensation on the spot, distribution terminal voltage level is effectively improved, and then improve distribution reliability of operation, pass through reduction
Circuit reactive power flows, and so as to reduction line loss by a larger margin, improves power distribution network economic benefit, reaches saving energy and decreasing loss
Purpose, additionally it is possible to improve the active transmittability of circuit, avoid or slow down the upgrading of power distribution network, also improve power distribution network indirectly
Economic benefit.
Above content is to combine specific preferred embodiment further description made for the present invention, it is impossible to is assert
The embodiment of the present invention is only limitted to this, for general technical staff of the technical field of the invention, is not taking off
On the premise of from present inventive concept, some simple deduction or replace can also be made, should all be considered as belonging to the present invention by institute
Claims of submission determine protection domain.
Claims (5)
1. a kind of power distribution network capacitor shunt compensation computational methods based on local tree, comprise the following steps：
Step S1. obtains power distribution network information Step:Each distribution transforming metric data situation of distribution is obtained, that is, obtaining load year maximum has
Work(, load or burden without work, obtain the topological data table and topology relation table of the actual equipment with network operation and element, obtain power distribution network without
Work(compensates relevant information；
Step S2. shunt capacitor initial compensation scheme calculation procedures：Whole power distribution network is considered as a local tree, it is assumed that only
One node to be compensated, object function is up to benefit output investment ratio, each node is calculated as to be compensated by the use of step-up procedure
Benefit output investment ratio after point, the maximum node of benefit output investment ratio is as compensation point, and using corresponding benefit output investment ratio as entirely
The greatest benefit output investment ratio of power distribution network, while record the numbering and compensation capacity of compensation point；
Step S3. local trees whether again partiting step：For existing local tree, if its load or burden without work is less than electric capacity to be compensated
The single group capacity of device, the local tree is not subdivided, is also not provided with compensation point；If local tree only has two nodes, the local tree
Also or else divide；If all local trees no longer need to divide, step S9 is turned to；Otherwise, if there is local tree to divide again, turn
To step S4；
Step S4. local tree partiting steps：Corresponding local tree is divided again, it is maximum for load or burden without work to be compensated
Local tree, take a degree more than 2 and maximum node be since each branch road that it is connected, calculated using depth-first search
Method, the local tree number with number of degrees same number is obtained, if multiple nodes meet conditions above, randomly selects a node, institute
Degree of stating is the circuitry number that node is connected；
Each local trees of step S5. determine compensation point step respectively：For marking off the local tree come, an only compensation is being specified
Under conditions of node, the benefit of each node of cycle calculations invests the compensation capacity under when benefit output investment ratio maximal condition, and then
Determine an optimal compensation node；If the benefit output investment ratio of certain local tree is less than 1, the local tree is not provided with compensation point；When
Every local tree all determines after compensation point and after compensation capacity, if there is a local tree benefit output investment ratio to be more than 1, to calculate distribution
Current benefit output investment ratio；
Step S6. local trees whether re-optimization step：Judge whether all local tree benefit output investment ratios are both less than 1, if turning
To step S9, step S7 is otherwise turned to, is calculated for the further optimization of compensation point；
Step S7. compensation points further optimize calculation procedure：Choose the compensation node of local tree respectively upstream or under
One node of downstream, now the compensation point of other local trees is motionless, and compensation point difference is calculated using particle swarm optimization algorithm
Benefit output investment ratio upstream or after lower downstream；Calculating process is chosen more than repeating, when existing all local trees are all selected
After taking once, in these benefit output investment ratios, the value of a maximum benefit output investment ratio is chosen, the maximum benefit output investment ratio
Value corresponds to certain local tree upstream or one node of lower downstream, will if the maximum value is more than current benefit output investment ratio
The compensation point of certain local tree corresponding to the maximum value is actual upstream or one position of lower downstream, and by the maximum value
It is assigned to current benefit output investment ratio；Above procedure is repeated, untill current benefit output investment ratio no longer increases；
Step S8. benefit output investment ratio comparison steps：Whether current benefit output investment ratio is more than existing greatest benefit output investment ratio, if greatly
In the value is assigned into greatest benefit output investment ratio, step S3 is turned to,；Otherwise step S8 is turned to；
Step S9. compensation schemes result exports step：Export greatest benefit output investment ratio under the conditions of each compensation node serial number and it
Compensation capacity.
2. the power distribution network capacitor shunt compensation computational methods according to claim 1 based on local tree, it is characterised in that：
The distribution network var compensation relevant information include compensation the time limit, electricity price, discount rate, capacitor single group capacity to be compensated and
Price.
3. the power distribution network capacitor shunt compensation computational methods according to claim 1 based on local tree, it is characterised in that：
In step S2 shunt capacitor shunt compensation scheme calculation procedures, described step-up procedure refers to, to node to be compensated
Unit compensation capacity is stepped up, its benefit output investment ratio is calculated, untill benefit output investment ratio no longer increases.
4. the power distribution network capacitor shunt compensation computational methods according to claim 1 based on local tree, it is characterised in that：
In step S2 and S6, the reactive-load compensation of single local tree is using the interior point method of Non-Linear Programming or based on the excellent of sensitivity
Change method.
5. the power distribution network capacitor shunt compensation computational methods according to claim 1 based on local tree, it is characterised in that：
As first time operating procedure S4, the maximum local tree of the load or burden without work to be compensated is whole power distribution network.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0239278A2 (en) * | 1986-03-26 | 1987-09-30 | Kabushiki Kaisha Toshiba | Capacitor apparatus for reactive power compensation |
| CN103346576A (en) * | 2013-07-03 | 2013-10-09 | 杭州电子科技大学 | Power distribution network reactive compensation node sorting method based on second-order transmission loss sensitivity matrix |
| CN103378595A (en) * | 2012-04-12 | 2013-10-30 | 长沙理工大学 | Hybrid active filter parameter optimization configuration considering resonance |
| CN103580023A (en) * | 2013-11-28 | 2014-02-12 | 云南电力试验研究院（集团）有限公司电力研究院 | Power distribution network reactive power optimization method based on multi-objective fish swarm clustering algorithm |
| CN103701134A (en) * | 2014-01-09 | 2014-04-02 | 武汉大学 | Grid-connected wind power plant point voltage control method based on MCR (Magnetic Control Reactor) and capacitance mixed compensation |
| JP2015056003A (en) * | 2013-09-11 | 2015-03-23 | 独立行政法人 宇宙航空研究開発機構 | Solar cell partial shade compensation apparatus using resonant inverter and multistage voltage doubler rectifying circuit |
| CN104701860A (en) * | 2013-12-06 | 2015-06-10 | 广西大学 | Novel reactive voltage-regulating optimizing device of asynchronous motor |
| CN104836240A (en) * | 2015-04-27 | 2015-08-12 | 国家电网公司 | Power grid inherent structural characteristic-based power distribution network optimal reactive compensation method |
-
2015
- 2015-11-05 CN CN201510745235.8A patent/CN105322553B/en not_active Expired - Fee Related
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0239278A2 (en) * | 1986-03-26 | 1987-09-30 | Kabushiki Kaisha Toshiba | Capacitor apparatus for reactive power compensation |
| CN103378595A (en) * | 2012-04-12 | 2013-10-30 | 长沙理工大学 | Hybrid active filter parameter optimization configuration considering resonance |
| CN103346576A (en) * | 2013-07-03 | 2013-10-09 | 杭州电子科技大学 | Power distribution network reactive compensation node sorting method based on second-order transmission loss sensitivity matrix |
| JP2015056003A (en) * | 2013-09-11 | 2015-03-23 | 独立行政法人 宇宙航空研究開発機構 | Solar cell partial shade compensation apparatus using resonant inverter and multistage voltage doubler rectifying circuit |
| CN103580023A (en) * | 2013-11-28 | 2014-02-12 | 云南电力试验研究院（集团）有限公司电力研究院 | Power distribution network reactive power optimization method based on multi-objective fish swarm clustering algorithm |
| CN104701860A (en) * | 2013-12-06 | 2015-06-10 | 广西大学 | Novel reactive voltage-regulating optimizing device of asynchronous motor |
| CN103701134A (en) * | 2014-01-09 | 2014-04-02 | 武汉大学 | Grid-connected wind power plant point voltage control method based on MCR (Magnetic Control Reactor) and capacitance mixed compensation |
| CN104836240A (en) * | 2015-04-27 | 2015-08-12 | 国家电网公司 | Power grid inherent structural characteristic-based power distribution network optimal reactive compensation method |
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