CN106058887B - Improve the idle work optimization method of the qualification rate of distribution network voltage containing distributed photovoltaic power - Google Patents
Improve the idle work optimization method of the qualification rate of distribution network voltage containing distributed photovoltaic power Download PDFInfo
- Publication number
- CN106058887B CN106058887B CN201610534707.XA CN201610534707A CN106058887B CN 106058887 B CN106058887 B CN 106058887B CN 201610534707 A CN201610534707 A CN 201610534707A CN 106058887 B CN106058887 B CN 106058887B
- Authority
- CN
- China
- Prior art keywords
- photo
- power supply
- voltage
- node
- distribution network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000005457 optimization Methods 0.000 title claims abstract description 46
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000012797 qualification Methods 0.000 title claims abstract description 16
- 239000002245 particle Substances 0.000 claims abstract description 9
- 239000003990 capacitor Substances 0.000 claims description 38
- 238000004364 calculation method Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 238000002347 injection Methods 0.000 claims description 3
- 239000007924 injection Substances 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 2
- 238000012913 prioritisation Methods 0.000 claims description 2
- 230000008859 change Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- FGUUSXIOTUKUDN-IBGZPJMESA-N C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 Chemical compound C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 FGUUSXIOTUKUDN-IBGZPJMESA-N 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 230000001172 regenerating effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
-
- H02J3/383—
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
Abstract
A kind of idle work optimization method improving the qualification rate of distribution network voltage containing distributed photovoltaic power, mainly comprises the following steps：When photo-voltaic power supply is worked in a manner of MPPT, with the minimum target of whole network voltage deviation, idle work optimization is carried out to photovoltaic DC-to-AC converter residual capacity with particle cluster algorithm；If the situation that optimum results still have node voltage out-of-limit, uses and improve and optimizate scheme：First, under the premise of ensureing whole network voltage qualification, target is up to the total active power output of photo-voltaic power supply and is optimized, show that the optimal of each photo-voltaic power supply has work value；Then using this result as the active output valve of each photo-voltaic power supply, with the minimum target of whole network voltage deviation, idle work optimization is carried out to photovoltaic DC-to-AC converter residual capacity again.The method of the present invention considers power distribution network performance driving economy and reliability, and the active and idle output of optimum distribution photovoltaic DC-to-AC converter effectively improves the rate of qualified voltage of the power distribution network containing photo-voltaic power supply.
Description
Technical field
The present invention relates to GA for reactive power optimization technology field more particularly to a kind of raising distribution containing distributed photovoltaic power
The idle work optimization method of net rate of qualified voltage.
Background technology
With becoming increasingly conspicuous for problem of energy crisis, regenerative resource more has been favored by people, and especially cleans, without dirt
Dye, resource distribution is wide, exploits convenient solar energy.Photovoltaic generation as a kind of efficient form using solar energy in the world
Inside increase rapidly.Photo-voltaic power supply makes original single supply radial structure become more power supply architectures after being incorporated to power distribution network, changes
Original direction of tide and size, with the raising of photovoltaic permeability, the grid-connected influence to distribution network voltage is increasingly
Greatly.Some scholars propose that photovoltaic DC-to-AC converter while active power of output, can also export certain reactive power at present, can be with
It is participated in the spare capacity of photovoltaic DC-to-AC converter as continuously adjustable reactive power source in the idle work optimization of power distribution network.In addition,
Since inverter active output and idle output have coupling on capacity, when photovoltaic active power output occupancy capacity is excessive,
It is possible that all residual capacities is called to carry out the situation that voltage can not be adjusted in prescribed limit by reactive-load compensation.
But in the prior art, optimization method of completing the square, nothing are lacked to the active output of photovoltaic DC-to-AC converter and idle output
Method realizes the active output maximum of photo-voltaic power supply, the target of whole network voltage deviation minimum.
Invention content
Present invention aims at a kind of active output for capableing of optimum distribution photovoltaic DC-to-AC converter of offer and idle output, realities
Existing photo-voltaic power supply is active to export maximum, whole network voltage deviation minimum the raising qualification rate of distribution network voltage containing distributed photovoltaic power
Idle work optimization method.
To achieve the above object, following technical scheme is used：The method of the invention is by using Particle Swarm Optimization
Method optimizes operation, solve photovoltaic DC-to-AC converter active reactive output optimal value, on-load transformer tap changer gear and
Reactive-load compensation capacitor group number so that each node voltage deviation of power distribution network is minimum, improves distribution network voltage qualification rate；Specific steps
It is as follows：
Step 1, under the premise of photo-voltaic power supply is exported with MPPT, the object function for making whole network voltage deviation minimum is established；
Step 2, Load flow calculation is carried out according to distribution net work structure parameter, establishes the GA for reactive power optimization etc. containing photo-voltaic power supply
Formula constrains；
Step 3, with the residual capacity of photovoltaic DC-to-AC converter, on-load transformer tap changer gear and reactive-load compensation capacitor
Variable, each node voltage of power distribution network are state variable to group in order to control, establish the GA for reactive power optimization inequality containing photo-voltaic power supply
Constraint；
Step 4, it according to object function, equality constraint and the inequality constraints established, is carried out using particle cluster algorithm excellent
Change operation, solves the idle output valve of each inverter, load tap changer gear and capacitor group input group number；
Step 5,
5.1, in the optimum results obtained in each control variable adjustable range, if occurring without the out-of-limit situation of node voltage,
It is optimal case at this time, terminates optimization process
5.2, in the optimum results obtained in each control variable adjustable range, if still there is the out-of-limit situation of node voltage to go out
It is existing, then continue prioritization scheme；The first step optimizes, under the premise of ensureing whole network voltage qualification, with all photovoltaic electrics of power distribution network
The sum of source active power output is up to target, is respectively to control variable adjustable range in the active output upper limit of current photovoltaic and step 3
Inequality constraints solves each inverter active output optimal value；Second step optimizes, and each photo-voltaic power supply is in active output optimal value
Under the premise of, return to step 1 with the minimum target of whole network voltage deviation, and carries out step 2,3,4 operations, finally solves successively
Each inverter active is idle output valve, load tap changer gear and capacitor group input group number.
Further, establishing in step 1 makes the object function of whole network voltage deviation minimum, as shown in formula (1)
Wherein
In formula, UiFor the voltage of each node of power distribution network in addition to balance nodes,For each node voltage desired value, λ is
The out-of-limit penalty coefficient of node voltage, Uimax、UiminThe respectively bound value of node voltage, n are except balance nodes external system
Number of nodes.
Further, the GA for reactive power optimization equality constraint containing photo-voltaic power supply is established in step 2, as shown in formula (2)
In formula, Gij、BijAnd θijConductance, susceptance respectively between node i, j and phase difference of voltage, PZi、QZiRespectively
The injection active power and reactive power of node i, PPVi、QPViThe respectively node i access active power of photo-voltaic power supply and idle
Power, PLi、QLiThe active power and reactive power of load, Q respectively at node iCiThe idle of capacitor group is connect by node i
Power generating value.
Further, the GA for reactive power optimization inequality constraints containing photo-voltaic power supply is established in step 3, such as formula (3) institute
Show
In formula, QPViFor the reactive power that i-th of photo-voltaic power supply is sent out, QPVi.maxIt can be sent out for i-th of photo-voltaic power supply
Reactive power maximum value and satisfactionNPVFor the quantity of photo-voltaic power supply, QCjFor jth platform compensating electric capacity
The capacity of device input, LjFor jth platform compensation capacitor maximum group number, QCj0For the appearance of jth platform compensation capacitor single group capacitor
Amount, NCThe number of units of compensation capacitor group, TtkFor the tap joint position of kth platform on-load regulator transformer, Ttk.min、Ttk.maxRespectively
The tap joint position upper lower limit value of kth platform on-load regulator transformer, NTThe quantity of on-load regulator transformer, N are system node number,
Ui.min、Ui.maxThe voltage upper lower limit value of respectively i-th node.
Further, the specific method is as follows for the first step optimization described in step 5.2：
Under the premise of ensureing that whole network voltage is qualified, it is up to target with the sum of all photo-voltaic power supply active power outputs of power distribution network
Object function is established,
Wherein
In formula, PPViFor the active power of i-th of photo-voltaic power supply output, UiFor each node of power distribution network in addition to balance nodes
Voltage, λ is the out-of-limit penalty coefficient of node voltage (for negative value), Uimax、UiminThe respectively bound value of node voltage, NPV
By the number for the photo-voltaic power supply that power distribution network accesses, n is the number of nodes except balance nodes external system；
Step 2,3,4 are carried out successively, solve the active output optimal value of each photo-voltaic power supply.
Compared with prior art, the invention has the advantages that：Considering power distribution network performance driving economy and reliability
On the basis of, the active output and idle output of optimum distribution photovoltaic DC-to-AC converter, under the premise of ensureing that whole network voltage is qualified,
It realizes the active output maximum of photo-voltaic power supply, the target of whole network voltage deviation minimum, effectively improves the electricity of the power distribution network containing photo-voltaic power supply
Press qualification rate.
Description of the drawings
Fig. 1 is the flow chart of the method for the present invention.
Drawing reference numeral：1 be in step 5.2 the first step optimization, 2 be in step 5.2 second step optimization.
Specific implementation mode
The present invention will be further described below in conjunction with the accompanying drawings：
As shown in Figure 1, the method for the invention optimizes operation by using particle swarm optimization algorithm, photovoltaic is solved
Output optimal value that inverter active is idle, on-load transformer tap changer gear and reactive-load compensation capacitor group number so that match
Each node voltage deviation of power grid is minimum, improves distribution network voltage qualification rate；It is as follows：
A establishes the object function for making whole network voltage deviation minimum under the premise of photo-voltaic power supply is exported with MPPT；Such as formula
(1) shown in
Wherein
In formula, UiFor the voltage of each node of power distribution network in addition to balance nodes,For each node voltage desired value, λ is
The out-of-limit penalty coefficient of node voltage, Uimax、UiminThe respectively bound value of node voltage, n are except balance nodes external system
Number of nodes.
B carries out Load flow calculation according to distribution net work structure parameter, establishes the GA for reactive power optimization equation containing photo-voltaic power supply about
Beam；As shown in formula (2)
In formula, Gij、BijAnd θijConductance, susceptance respectively between node i, j and phase difference of voltage, PZi、QZiRespectively
The injection active power and reactive power of node i, PPVi、QPViThe respectively node i access active power of photo-voltaic power supply and idle
Power, PLi、QLiThe active power and reactive power of load, Q respectively at node iCiThe idle of capacitor group is connect by node i
Power generating value.
C is with the residual capacity of photovoltaic DC-to-AC converter, on-load transformer tap changer gear and reactive-load compensation capacitor group
Variable is controlled, each node voltage of power distribution network is state variable, establishes the GA for reactive power optimization inequality constraints containing photo-voltaic power supply；
As shown in formula (3)
In formula, QPViFor the reactive power that i-th of photo-voltaic power supply is sent out, QPVi.maxIt can be sent out for i-th of photo-voltaic power supply
Reactive power maximum value and satisfactionNPVFor the quantity of photo-voltaic power supply, QCjFor jth platform compensating electric capacity
The capacity of device input, LjFor jth platform compensation capacitor maximum group number, QCj0For the appearance of jth platform compensation capacitor single group capacitor
Amount, NCThe number of units of compensation capacitor group, TtkFor the tap joint position of kth platform on-load regulator transformer, Ttk.min、Ttk.maxRespectively
The tap joint position upper lower limit value of kth platform on-load regulator transformer, NTThe quantity of on-load regulator transformer, N are system node number,
Ui.min、Ui.maxThe voltage upper lower limit value of respectively i-th node.
D optimizes fortune according to object function, equality constraint and the inequality constraints established using particle cluster algorithm
It calculates, solves the idle output valve of each inverter, load tap changer gear and capacitor group input group number；
E, judges whether the optimum results obtained in each control variable adjustable range still have the out-of-limit situation of node voltage to occur,
Terminate optimization process if the out-of-limit situation of no-voltage；If still there is node voltage out-of-limit situation occur, using the scheme of improving and optimizating into
Row optimization, improves and optimizates scheme optimization process and is divided into two steps, in Fig. 1 in the signified dotted line frame of label 1 step f, g, h be improve it is excellent
The change scheme first step optimizes, and step i, j, k are to improve and optimizate the optimization of scheme second step in the signified dotted line frame 2 of label 2 in Fig. 1.
Improve and optimizate the optimization of the scheme first step：
F is up to mesh under the premise of ensureing that whole network voltage is qualified with the sum of all photo-voltaic power supply active power outputs of power distribution network
Mark establishes object function, as shown in formula (4)
Wherein
In formula, PPViFor the active power of i-th of photo-voltaic power supply output, UiFor each node of power distribution network in addition to balance nodes
Voltage, λ is the out-of-limit penalty coefficient of node voltage (for negative value), Uimax、UiminThe respectively bound value of node voltage, NPV
By the number for the photo-voltaic power supply that power distribution network accesses, n is the number of nodes except balance nodes external system；
G, according to the structural parameters of power distribution network carry out Load flow calculation, establish the GA for reactive power optimization containing photo-voltaic power supply etc.
Formula constrains, as shown in formula (2).
With the active output upper limit value of photovoltaic DC-to-AC converter, photovoltaic DC-to-AC converter residual capacity, on-load transformer tap changer shelves
Variable, each node voltage of power distribution network are state variable in order to control for position and reactive-load compensation capacitor group, establish matching containing photo-voltaic power supply
Reactive power optimization inequality constraints, as shown in formula (5)
In formula, PPViFor photovoltaic active power output valve, PPVi.maxIt is i-th of photo-voltaic power supply in current time active power
It can be output maximum value, NPVFor the quantity of photo-voltaic power supply, QPViFor the reactive power that i-th of photo-voltaic power supply is sent out, QPVi.maxIt is
The reactive power maximum value and satisfaction that i photo-voltaic power supply can be sent outQCjElectricity is compensated for jth platform
The capacity of container input, LjFor jth platform compensation capacitor maximum group number, QCj0For the appearance of jth platform compensation capacitor single group capacitor
Amount, NCThe number of units of compensation capacitor group, Ttk.min、Ttk.maxRespectively above and below the tap joint position of kth platform on-load regulator transformer
Limit value, NTThe quantity of on-load regulator transformer, N are system node number, Ui.min、Ui.maxAbove and below the voltage of respectively i-th node
Limit value；
H optimizes operation using particle cluster algorithm, solves each inverter active output optimal value.
Improve and optimizate the optimization of scheme second step：
I, it is minimum with whole network voltage deviation under the premise of the active output optimal value of each photo-voltaic power supply of gained during the first step optimizes
It is established shown in object function such as formula (1) for target；
G, according to the structural parameters of power distribution network carry out Load flow calculation, establish the GA for reactive power optimization containing photo-voltaic power supply etc.
Formula constrains, as shown in formula (2)；
In order to control with photovoltaic DC-to-AC converter residual capacity, on-load transformer tap changer gear and reactive-load compensation capacitor group
Variable, each node voltage of power distribution network are state variable, the GA for reactive power optimization inequality constraints containing photo-voltaic power supply are established, such as formula
(6) shown in
In formula, QPViFor the reactive power that i-th of photo-voltaic power supply is sent out, QPVi.maxIt can be sent out for i-th of photo-voltaic power supply
Reactive power maximum value and satisfactionNPVFor the quantity of photo-voltaic power supply, QCjFor jth platform compensating electric capacity
The capacity of device input, LjFor jth platform compensation capacitor maximum group number, QCj0For the appearance of jth platform compensation capacitor single group capacitor
Amount, NCThe number of units of compensation capacitor group, Ttk.min、Ttk.maxRespectively above and below the tap joint position of kth platform on-load regulator transformer
Limit value, NTThe quantity of on-load regulator transformer, N are system node number, Ui.min、Ui.maxAbove and below the voltage of respectively i-th node
Limit value；
K carries out optimizing according to the GA for reactive power optimization mathematical model containing photo-voltaic power supply with particle cluster algorithm
Solving-optimizing operation finally solves the idle output valve of each inverter active, load tap changer gear and capacitor group input
Group number, terminates optimization process.
Embodiment described above is only that the preferred embodiment of the present invention is described, not to the model of the present invention
It encloses and is defined, under the premise of not departing from design spirit of the present invention, technical side of the those of ordinary skill in the art to the present invention
The various modifications and improvement that case is made should all be fallen into the protection domain of claims of the present invention determination.
Claims (5)
1. a kind of idle work optimization method improving the qualification rate of distribution network voltage containing distributed photovoltaic power, which is characterized in that described
Method optimizes operation by using particle swarm optimization algorithm, solves photovoltaic DC-to-AC converter active reactive output optimal value, has
Voltage adjustment of on-load load tap changer gear and reactive-load compensation capacitor group number so that each node voltage deviation of power distribution network is minimum, improves
Distribution network voltage qualification rate；It is as follows：
Step 1, under the premise of photo-voltaic power supply is exported with MPPT, the object function for making whole network voltage deviation minimum is established；
Step 2, Load flow calculation is carried out according to distribution net work structure parameter, establishes the GA for reactive power optimization equation containing photo-voltaic power supply about
Beam；
Step 3, it is with the residual capacity of photovoltaic DC-to-AC converter, on-load transformer tap changer gear and reactive-load compensation capacitor group
Variable is controlled, each node voltage of power distribution network is state variable, establishes the GA for reactive power optimization inequality constraints containing photo-voltaic power supply；
Step 4, according to object function, equality constraint and the inequality constraints established, fortune is optimized using particle cluster algorithm
It calculates, solves the idle output valve of each inverter, load tap changer gear and capacitor group input group number；
Step 5,
5.1, in the optimum results obtained in each control variable adjustable range, if occurring without the out-of-limit situation of node voltage, at this time
For optimal case, terminate optimization process
5.2, in the optimum results obtained in each control variable adjustable range, if still there is the out-of-limit situation of node voltage to occur,
Continue prioritization scheme；The first step optimizes, active with all photo-voltaic power supplies of power distribution network under the premise of ensureing whole network voltage qualification
The sum of output is up to target, respectively to control variable adjustable range as inequality in the active output upper limit of current photovoltaic and step 3
Constraint solves each inverter active output optimal value；Second step optimizes, and each photo-voltaic power supply is in active output optimal value premise
Under, return to step 1 with the minimum target of whole network voltage deviation, and carries out step 2,3,4 operations, finally solves each inverse successively
Become device active reactive output valve, load tap changer gear and capacitor group input group number.
2. the idle work optimization method according to claim 1 for improving the qualification rate of distribution network voltage containing distributed photovoltaic power,
It is characterized in that：Establishing in step 1 makes the object function of whole network voltage deviation minimum, as shown in formula (1)
Wherein
In formula, UiFor the voltage of each node of power distribution network in addition to balance nodes,For each node voltage desired value, λ is node
Voltage out-of-limit penalty coefficient, Uimax、UiminThe respectively bound value of node voltage, n are the node except balance nodes external system
Number.
3. the idle work optimization method according to claim 1 for improving the qualification rate of distribution network voltage containing distributed photovoltaic power,
It is characterized in that：The GA for reactive power optimization equality constraint containing photo-voltaic power supply is established in step 2, as shown in formula (2)
In formula, Gij、BijAnd θijConductance, susceptance respectively between node i, j and phase difference of voltage, PZi、QZiRespectively node i
Injection active power and reactive power, PPVi、QPViThe respectively active power and reactive power of node i access photo-voltaic power supply,
PLi、QLiThe active power and reactive power of load, Q respectively at node iCiThe idle output of capacitor group is connect by node i
Value.
4. the idle work optimization method according to claim 1 for improving the qualification rate of distribution network voltage containing distributed photovoltaic power,
It is characterized in that：The GA for reactive power optimization inequality constraints containing photo-voltaic power supply is established in step 3, as shown in formula (3)
In formula, QPViFor the reactive power that i-th of photo-voltaic power supply is sent out, QPVi.maxIt can be sent out for i-th of photo-voltaic power supply idle
Power maximum value and satisfactionNPVFor the quantity of photo-voltaic power supply, QCjIt is thrown for jth platform compensation capacitor
The capacity entered, LjFor jth platform compensation capacitor maximum group number, QCj0For the capacity of jth platform compensation capacitor single group capacitor, NCIt mends
Repay the number of units of capacitor group, TtkFor the tap joint position of kth platform on-load regulator transformer, Ttk.min、Ttk.maxRespectively kth platform has
The tap joint position upper lower limit value of voltage adjustment of on-load transformer, NTThe quantity of on-load regulator transformer, N are system node number, Ui.min、
Ui.maxThe voltage upper lower limit value of respectively i-th node.
5. the idle work optimization method according to claim 1 for improving the qualification rate of distribution network voltage containing distributed photovoltaic power,
It is characterized in that, the specific method is as follows for the first step optimization described in step 5.2：
Under the premise of ensureing that whole network voltage is qualified, it is up to target with the sum of all photo-voltaic power supply active power outputs of power distribution network and establishes
Object function,
Wherein
In formula, PPViFor the active power of i-th of photo-voltaic power supply output, UiFor the electricity of each node of power distribution network in addition to balance nodes
Pressure, λ is the out-of-limit penalty coefficient of node voltage, and λ is negative value, Uimax、UiminThe respectively bound value of node voltage, NPVFor
The number for the photo-voltaic power supply that power distribution network is accessed, n are the number of nodes except balance nodes external system；
Step 2,3,4 are carried out successively, solve the active output optimal value of each photo-voltaic power supply.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610534707.XA CN106058887B (en) | 2016-07-08 | 2016-07-08 | Improve the idle work optimization method of the qualification rate of distribution network voltage containing distributed photovoltaic power |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610534707.XA CN106058887B (en) | 2016-07-08 | 2016-07-08 | Improve the idle work optimization method of the qualification rate of distribution network voltage containing distributed photovoltaic power |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106058887A CN106058887A (en) | 2016-10-26 |
| CN106058887B true CN106058887B (en) | 2018-10-16 |
Family
ID=57184990
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610534707.XA Active CN106058887B (en) | 2016-07-08 | 2016-07-08 | Improve the idle work optimization method of the qualification rate of distribution network voltage containing distributed photovoltaic power |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106058887B (en) |
Families Citing this family (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106786610B (en) * | 2016-11-27 | 2019-04-05 | 东北电力大学 | A kind of distributed photovoltaic high permeability network voltage optimization method based on energy-storage battery |
| CN106712083B (en) * | 2017-01-03 | 2019-08-13 | 国能日新科技股份有限公司 | A kind of photovoltaic AGC&AVC control method and system based on fuzzy control |
| CN106655174B (en) * | 2017-01-03 | 2019-04-09 | 昆明理工大学 | A kind of power distribution network synthesis reconstruction and optimization method |
| CN107134788B (en) * | 2017-06-15 | 2019-09-27 | 清华大学 | A kind of photovoltaic power generation cluster participation voltage-controlled method of Electrical Power System Dynamic |
| CN107437813B (en) * | 2017-07-17 | 2021-02-09 | 安徽大学 | Power distribution network reactive power optimization method based on cuckoo-particle swarm |
| CN109167368B (en) * | 2018-09-18 | 2020-05-15 | 国网湖南省电力有限公司 | User voltage optimization and regulation method and system with distributed photovoltaic |
| CN109586305B (en) * | 2018-12-12 | 2022-04-19 | 国网山西省电力公司大同供电公司 | Power distribution network operation control strategy based on flexible multi-state switch |
| CN109742765B (en) * | 2019-02-19 | 2020-08-11 | 国网江西省电力有限公司电力科学研究院 | Power distribution station gear adjusting method and device |
| CN110120670B (en) * | 2019-04-25 | 2020-11-17 | 国网河北省电力有限公司邢台供电分公司 | DPV-containing power distribution network reactive voltage optimization method, terminal equipment and storage medium |
| CN110739698B (en) * | 2019-11-20 | 2023-07-28 | 国网山东省电力公司潍坊市寒亭区供电公司 | Method and system for allocating 10kV bus voltage and public distribution transformer outlet voltage |
| CN113629723B (en) * | 2021-07-05 | 2024-01-12 | 燕山大学 | SVG (static var generator) optimal configuration method considering DG and APF to participate in voltage management |
| CN113991732B (en) * | 2021-10-21 | 2023-11-28 | 国电南瑞科技股份有限公司 | Double-target voltage control method and device for distributed power distribution network |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103701132B (en) * | 2013-12-20 | 2015-09-30 | 清华大学 | A kind of superpotential method of control active distribution network based on meritorious-idle coordination |
| CN104269855B (en) * | 2014-10-22 | 2017-01-18 | 贵州电力试验研究院 | Rapid site reactive voltage adjusting method adaptable to multiple energy accesses |
| CN105281360B (en) * | 2015-09-14 | 2018-05-11 | 国家电网公司 | A kind of distributed photovoltaic automatic power generation control method based on sensitivity |
| CN105207274B (en) * | 2015-10-29 | 2017-12-08 | 许继集团有限公司 | A kind of distributed photovoltaic power generation control method of the idle output of automatic adjusument |
-
2016
- 2016-07-08 CN CN201610534707.XA patent/CN106058887B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN106058887A (en) | 2016-10-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106058887B (en) | Improve the idle work optimization method of the qualification rate of distribution network voltage containing distributed photovoltaic power | |
| CN108988402B (en) | Optimization control method for alternating current-direct current power distribution network based on optimization scheduling | |
| CN106549392B (en) | A kind of power distribution network control method for coordinating | |
| CN107332234A (en) | One kind considers the intermittent active distribution network multiple faults correcting strategy of regenerative resource | |
| CN107565576B (en) | Reactive voltage optimization method for active power distribution network coordinated by multiple active management means | |
| CN105870949B (en) | A kind of micro-capacitance sensor energy-storage units optimal control method based on distributed gradient algorithm | |
| CN106921164A (en) | The MIXED INTEGER Second-order cone programming method and system of distribution voltage power-less collaboration optimization | |
| CN110556856A (en) | communication-independent multi-mode electric energy router and seamless switching control method thereof | |
| CN106505558B (en) | A kind of the energy conveyance control method and device of DC distribution net | |
| CN110544961A (en) | dynamic economic dispatching method for isolated grid type alternating current-direct current hybrid micro-grid | |
| CN113644693B (en) | Distributed operation control method for renewable energy/hydrogen-containing alternating current-direct current hybrid system | |
| CN104158198A (en) | Optimization trend control apparatus and method for power distribution network | |
| CN105896575A (en) | Hundred megawatt energy storage power control method and system based on self-adaptive dynamic programming | |
| CN106058858A (en) | Power distribution network optimization method and power distribution network optimization device | |
| CN104659812B (en) | A kind of many microgrid control method for coordinating based on PREDICTIVE CONTROL | |
| CN106655253A (en) | Single-/three-phase multi-micro-grid region dynamic partitioning method | |
| CN108695875A (en) | The power distribution network running optimizatin method of intelligent Sofe Switch and energy storage device joint access | |
| CN114928057A (en) | Multi-objective power flow optimization method suitable for new energy multi-terminal flexible-straight system | |
| CN105426985B (en) | Urban distribution network voltage distribution optimization method suitable for roof photovoltaic access | |
| CN111478335B (en) | Power distribution network load flow calculation method and system considering distributed photovoltaic | |
| CN105896613B (en) | A kind of micro-capacitance sensor distribution finite-time control method for considering communication time lag | |
| Almousawi et al. | Control strategy for a PV-BESS-SC hybrid system in islanded microgrid | |
| CN106451477A (en) | Reactive power voltage coordination control method adaptable to clustered wind-solar-electricity access system | |
| CN106655245B (en) | A kind of light storage output power Active Control Method | |
| CN104600746B (en) | Region photovoltaic energy-storage system grid-connected converter Passive Nonlinear control method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |