CN104836260B - Calculation method for allowed capacity of DGs in active power distribution network under voltage constraint - Google Patents
Calculation method for allowed capacity of DGs in active power distribution network under voltage constraint Download PDFInfo
- Publication number
- CN104836260B CN104836260B CN201510290393.9A CN201510290393A CN104836260B CN 104836260 B CN104836260 B CN 104836260B CN 201510290393 A CN201510290393 A CN 201510290393A CN 104836260 B CN104836260 B CN 104836260B
- Authority
- CN
- China
- Prior art keywords
- access
- power
- distribution network
- capacities
- formula
- 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
- 238000009826 distribution Methods 0.000 title claims abstract description 65
- 238000004364 calculation method Methods 0.000 title claims abstract description 19
- 238000005457 optimization Methods 0.000 claims abstract description 23
- 238000000034 method Methods 0.000 claims description 17
- 230000005284 excitation Effects 0.000 claims description 13
- 238000001764 infiltration Methods 0.000 claims description 13
- 230000008595 infiltration Effects 0.000 claims description 13
- 238000000205 computational method Methods 0.000 claims description 11
- 230000008569 process Effects 0.000 claims description 11
- 230000001360 synchronised effect Effects 0.000 claims description 7
- 239000012466 permeate Substances 0.000 claims description 3
- 230000008859 change Effects 0.000 abstract description 8
- 238000005516 engineering process Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000004146 energy storage Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000002411 adverse Effects 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 230000000712 assembly Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000003990 capacitor Substances 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to a calculation method for the allowed capacity of DGs in the active power distribution network under the voltage constraint. The calculation method comprises the steps that (1) the access amount and places of the DGs in the active power distribution network are programmed; (2) DG access combinations and the operation modes of different DG access combinations are determined; (3) the access amount of DGs in periods and the generating capacity and load value of the DGs in each period are determined; (4) power flow optimization calculation is carried out on the access capacity of the DGs in all periods of each DG access combination; (5) the objective function of the maximal capacity of DG allowed by the active power distribution network is determined; and (6) the optimal DG access capacity of each access point is determined according to the objective function. The maximal DG access capacity is determined based on the power flow optimization calculation of the DGS in multiple periods, access of the DGs in the power distribution network is analyzed, the non-determinacy of DG output power of different periods and the dynamic change of load are taken into consideration, global searching optimization is carried out, and a DG optimization configuration scheme is obtained.
Description
Technical field
The present invention relates to the computational methods of DG allowed capacities in a kind of lower active distribution network of voltage constraint.
Background technology
Compared with power transmission network, the electric energy proportion in distribution network of the active loss in transmitting procedure is higher, because
It is the important topic that many electric power practitioners face that this reduces distribution active loss, saves electric energy.With distributed generation technology
Raising, world community power network risen in power distribution network access distributed power source (distributed generation, DG)
Research with application.All the time, capacitor as can reduce network loss, improve quality of voltage force device and by extensively should
For in power distribution network.The development of battery energy storage technology in recent years accelerates its application in power network, energy-storage system with progress
It is used to improve power supply reliability, reduces network loss.In addition, the synchronous generator for small power station, the double-fed for wind-power electricity generation
Formula influence generator etc. is all new DG.
Distributed power source (DG) development brings substantial amounts of uncertain factor to load prediction, network trend, power supply architecture,
Many influences will be produced on distribution network planning.The power distribution network of the Reasonable Scale of distributed power source, layout planning and consideration DG
Expansion Planning problem.
In traditional power distribution network, circuit type selecting, lectotype selection, corresponding relay protection, power flowcontrol, metering, it is considered to
The characteristics of being all one way flow, in the case of power network is trouble-free, the operation that will not be typically automatically controlled.Therefore,
Conventional electrical distribution net (passive power distribution network) does not account for the influence that distributed power source accesses power distribution network in planning, but based on electric power
Trend is designed from transformer station's this premise of single flow direction load.
Active distribution network is internal with the distributed or distributing energy, the power distribution network with control and service ability.It is main
Dynamic power distribution network has four features, and one is possess certain distribution controllable resources, and two is have more perfect considerable controllable levels, three
Be have realize coordination optimization management management and control center, four be can flexible modulation network topology structure." the master of active distribution network
It is dynamic ", be also embodied in carries out anticipation to the danger for being possible to occur, and formulates certain countermeasure, is effectively held by control centre
OK, just can only passively be taken measures after failure generation rather than as conventional electrical distribution net.
But, because the access of distributed power source changes original single, the radial network connection form of power distribution network,
Increased the complexity of power distribution network scheduling and operational management.And, when the installed capacity that Distributed Generation in Distribution System is accessed surpasses
When crossing certain limit, many adverse effects will be produced to the safe operation of power network and reliable power supply, such as be likely to occur voltage inclined
The phenomenons such as difference, voltage flash, harmonic wave, false protection.Therefore, need badly and receive the ability of distributed power source to enter low and medium voltage distribution network
Row research, it is accurate to determine the ability that low and medium voltage distribution network receives distributed power source, with ensure distributed power source and power network safety,
Reliability service.
Prior art when it is determined that power distribution network receives the ability of distributed power source, due to using outdated or non-emphasis
The check criterion of consideration, will make the receiving ability to distributed power source determined be difficult to accurately reflect distributed power source access
Actual conditions.
The content of the invention
In view of the shortcomings of the prior art, the invention provides DG allowed capacities in a kind of lower active distribution network of voltage constraint
Computational methods, for realizing that maximum capacity is accessed in the case where the protection seting value of original power distribution network is not changed, improve confession
Electric reliability.
The present invention solves its technical problem and adopts the technical scheme that：DG accesses in a kind of lower active distribution network of voltage constraint
The computational methods of capacity, it is characterized in that, comprise the following steps：
(1) the access quantity of DG and access place in planning active distribution network；
(2) determine that DG accesses the method for operation that combination and various DG are accessed under combination；
(3) determine at times the access quantity of DG and in each period DG generated energy and load value；
(4) the DG access capacities that all periods under combining are accessed to each DG carry out tide optimization calculating；
(5) determining active distribution network can receive the object function of DG maximum capacities to be：
In formula (1), MCNFor DG accesses number of combinations, N is DG number of nodes, Pc DGiIt is the active power of DG node is；
(6) the optimal DG access capacities of each access point are determined according to step (5) described object function.
Preferably, the DG accesses the quantity MC of combinationNDetermined by following formula：
In formula (2), DGNIt is the quantity of DG.
Preferably, the DG access capacities to all periods under each DG access combinations described in step (4) carry out tide
The process of flow-optimized calculating is comprised the following steps：
(41) Load flow calculation is carried out to the DG access capacities that a DG accesses combination lower first period, determines the DG access groups
Close the maximum DG access capacities of lower first period；
(42) Load flow calculation is carried out to the DG access capacities that the DG accesses combination lower other periods respectively, determines that the DG is accessed
The maximum DG access capacities of lower other periods are combined, so that the maximum DG for completing the DG lower each access point of access combination is accessed and held
Amount；
(43) the maximum DG access capacities of all periods under combination are accessed in repeat step (41) and (42) to other DG respectively.
It is further preferred that various DG access the maximum DG access capacities of each period under combination really in the step (4)
The fixed DG after optimizing in active distribution network permeates power to determine, the optimization process of the DG infiltrations power includes following step
Suddenly：
The active power and reactive power equilibrium of each node can be expressed as such as formula (3) and formula (4)：
In formula (3) and formula (4),It is grid generator active power output,To access the DG active power outputs of i points, αmFor
DG exerts oneself percentage, and θ is phase angle；
Line Flow equation is represented by：
In formula (5) and formula (6),WithThe effective power flow and reactive power flow of difference circuit, BijIt is line admittance,It is voltage magnitude,It is phase angle；
The constraints of Line Flow is：
In formula (7) to formula (11), T is OLTC no-load voltage ratios, and θ is power-factor angle, and P, Q are respectively active power and idle work(
Rate；
The constraint formula of DG access capacities is：
In formula (12),WithThe respectively effective power flow and reactive power flow of circuit,It is the steady limit of circuit heat；
The DG infiltration power of each node is after optimization：
In formula (13),To access the DG capacity of i-node after optimization.
It is further preferred that the process of the Load flow calculation is comprised the following steps：
Determine the interface shape of DG；
The PV sections that active-power P and voltage V determine will be equivalent to using the DG of excitation voltage constant synchronization generator interface
Point；
By being equivalent to using the DG of excitation voltage adjustable synchronous generator interface, P determines, reactive power Q changes and change with V
P-Q (V) node of change；
The PV node that P and V determines will be equivalent to using the DG of voltage-controlled type power electronic equipment interface；
The PI nodes that P and electric current I determines will be equivalent to using the DG of current-control type power electronic equipment interface；
PQ nodes will be equivalent to using the DG of invariable power factor controlling asynchronous wind driven generator interface；
The DG that invariable power factor controlling asynchronous wind driven generator interface will be provided without is equivalent to P-Q (V) node.
It is further preferred that the relation of QG and V is in P-Q (V) node：
Wherein, x is stator reactance and rotor reactance sum, and xm is field excitation branch line reactance.
It is further preferred that the relation of QE and I is in the PI nodes：
The beneficial effects of the invention are as follows：
The present invention calculates to determine the maximum capacity that DG is accessed based on multiple DG multi-period tide optimization, not only to distribution
Net multiple DG is accessed and is analyzed, it is also contemplated that the uncertainty of different periods DG power outputs and the dynamic change spy of load
Property, global optimizing is carried out, draw DG configuration schemes.
The present invention to employ be possible to the scheme that combination is analyzed to what multiple DG were accessed first, obtains maximum
DG infiltration performance number.Each way is it is contemplated that the situation of multiple periods；And each mode, it is contemplated that power system it is dynamic
The uncertainty and the dynamic variation characteristic of load of step response, i.e. distributed power source output power, with very strong robustness.
The present invention determines that the optimal DG of each access point in active distribution network connects by being optimized to DG infiltration power
Enter capacity, not only power distribution network multiple DG is accessed and is analyzed, and also contemplate the not true of different periods DG power outputs
Qualitative and load dynamic variation characteristic.
Present invention employs a kind of tidal current computing method of new distributed power source, the inhomogeneity of distinct interface form is used
Type distributed power source is equivalent to corresponding power flow algorithm, i.e., to being equivalent to PV node, PQ nodes, PI nodes and P-Q (V) section
The distributed power source of point is carried out using PV node model, PQ nodal analysis methods, PI nodal analysis methods and P-Q (V) nodal analysis methods respectively
Load flow calculation, makes calculation of tidal current more accurately and reliably.
Brief description of the drawings
Fig. 1 is flow chart of the method for the present invention；
Fig. 2 is the power distribution network schematic diagram for having 1 DG to access；
Fig. 3 is the power distribution network schematic diagram for having 2 DG to access；
Fig. 4 is the flow chart of the optimal DG access capacities for determining power distribution network each access point.
Specific embodiment
For the technical characterstic for illustrating this programme can be understood, below by specific embodiment, and its accompanying drawing is combined, to this hair
It is bright to be described in detail.Following disclosure provides many different embodiments or example is used for realizing different knots of the invention
Structure.In order to simplify disclosure of the invention, hereinafter the part and setting to specific examples are described.Additionally, the present invention can be with
Repeat reference numerals and/or letter in different examples.This repetition is that for purposes of simplicity and clarity, itself is not indicated
Relation between various embodiments being discussed and/or being set.It should be noted that part illustrated in the accompanying drawings is not necessarily to scale
Draw.Present invention omits the description to known assemblies and treatment technology and process avoiding being unnecessarily limiting the present invention.
As shown in figure 1, a kind of voltage of the invention constrains the computational methods of DG allowed capacities in lower active distribution network, it is special
Levying is, comprises the following steps：
(1) the access quantity of DG and access place in planning active distribution network；
(2) determine that DG accesses the method for operation that combination and various DG are accessed under combination；
(3) determine at times the access quantity of DG and in each period DG generated energy and load value；
(4) the DG access capacities that all periods under combining are accessed to each DG carry out tide optimization calculating；
(5) determining active distribution network can receive the object function of DG maximum capacities to be：
In formula (1), MCNFor DG accesses number of combinations, N is DG number of nodes, Pc DGiIt is the active power of DG node is；
(6) the optimal DG access capacities of each access point are determined according to step (5) described object function.
The present invention calculates to determine the maximum capacity that DG is accessed based on multiple DG multi-period tide optimization, not only to distribution
Net multiple DG is accessed and is analyzed, it is also contemplated that the uncertainty of different periods DG power outputs and the dynamic change spy of load
Property, global optimizing is carried out, draw DG configuration schemes.
Voltage constraint is one of problem of main consideration of determination receiving DG capacity in power distribution network.
As shown in Fig. 2 Vs will be maintained in certain voltage range, it is ensured that line end, user's voltage are in acceptability limit
It is interior.The access of DG can raise the voltage of Vs,
In passive power distribution network, ULTC (OLTC) is primarily used to pressure regulation, maintains secondary side voltage one
In fixed limits；But in active distribution network, the infiltration power of DG can be improved by controlling the voltage of OLTC secondary sides.
As shown in Fig. 2Vmax≥Vs II≥Vmin
If as shown in figure 3, in V2Point accesses DG2, then Vs IIOne can just be maintained and compare DG2Relatively low voltage water before accessing
On flat, do not limited by V2 voltages in other words, Vmax≥Vs II≥Vmin, the DG infiltrations of the power distribution network can be improved by formula (17)
Power.
In the case of thering is N number of DG to access for one, it is determined that DG maximum capacities can be received for object function is：
The combination quantity of many DG is determined by formula (2)
DGNTo access the quantity (accessing bus containing DG in planning) of DG in distribution network system.For example there are 2 DG access points,
Then DG different combinations has 3 kinds, (0,1), (1,0), and (1,1) does not consider the situation of (0,0).
DG itself output capacities are limited：
Preferably, the DG access capacities to all periods under each DG access combinations described in step (4) carry out tide
The process of flow-optimized calculating is comprised the following steps：
(41) Load flow calculation is carried out to the DG access capacities that a DG accesses combination lower first period, determines the DG access groups
Close the maximum DG access capacities of lower first period；
(42) Load flow calculation is carried out to the DG access capacities that the DG accesses combination lower other periods respectively, determines that the DG is accessed
The maximum DG access capacities of lower other periods are combined, so that the maximum DG for completing the DG lower each access point of access combination is accessed and held
Amount；
(43) the maximum DG access capacities of all periods under combination are accessed in repeat step (41) and (42) to other DG respectively.
The present invention to employ be possible to the scheme that combination is analyzed to what multiple DG were accessed first, obtains maximum
DG infiltration performance number.Each way is it is contemplated that the situation of multiple periods；And each mode, it is contemplated that power system it is dynamic
The uncertainty and the dynamic variation characteristic of load of step response, i.e. distributed power source output power, with very strong robustness.
It is further preferred that various DG access the maximum DG access capacities of each period under combination really in the step (4)
The fixed DG after optimizing in active distribution network permeates power to determine, the optimization process of the DG infiltrations power includes following step
Suddenly：
Each node is active and reactive power equilibrium meets following formula：
In formula (3) and formula (4),It is grid generator active power output,To access the DG active power outputs of i points, αmFor
DG exerts oneself percentage, and θ is phase angle；
Line Flow equation is represented by：
In formula (5) and formula (6),WithThe effective power flow and reactive power flow of difference circuit, BijIt is line admittance,It is voltage magnitude,It is phase angle；
The constraints of Line Flow is：
In formula (7) to formula (11), T is OLTC no-load voltage ratios, and θ is power-factor angle, and P, Q are respectively active power and idle work(
Rate；
The constraint formula of DG access capacities is：
In formula (12),WithThe respectively effective power flow and reactive power flow of circuit,It is the steady limit of circuit heat；
The DG infiltration power of each node is after optimization：
In formula (13),To access the DG capacity of i-node after optimization.
Power is permeated so as to obtain the DG after whole active distribution network optimization：
The present invention determines that the optimal DG of each access point in active distribution network connects by being optimized to DG infiltration power
Enter capacity, not only power distribution network multiple DG is accessed and is analyzed, and also contemplate the not true of different periods DG power outputs
Qualitative and load dynamic variation characteristic.
For the DG power outputs of different periods, by can using at times, DG exert oneself and load discretization method
Optimize, its optimization process is as follows：Load curve and DG first according to access point exert oneself history curve (0.5h) carry out from
Dispersion data processing, then carries out clustering processing, 8760 hours 1 year, there is 17520 data, peak load according to 20%,
30%, 50%, 70%, 90%, 100% carries out demarcation interval, and DG exerts oneself according to 0, and 10%, 30%, 50%, 70%, 90%,
100% demarcation interval, generates a 6*7 matrix, finally counts the time span exerted oneself with load in different interval DG, thus
17520 time periods in 1 year are just reduced to 41 time periods shown in subordinate list：
In subordinate list, unit is hour, and 41 time periods are 41 time periods that the time period is not zero in 6*7 matrixes.
Exerted oneself in view of DG, the multimode feature of load and power distribution network, the present invention employs and multiple DG accessed first
Be possible to the scheme that combination is analyzed, obtain maximum DG infiltration performance number.Each way is it is contemplated that multiple
The situation of period；And each mode, it is contemplated that the dynamic characteristic of power system, i.e. distributed power source output power it is uncertain
The dynamic variation characteristic of property and load, with very strong robustness.
It is further preferred that the process of the Load flow calculation is comprised the following steps：
Determine the interface shape of DG；
The PV sections that active-power P and voltage V determine will be equivalent to using the DG of excitation voltage constant synchronization generator interface
Point；
By being equivalent to using the DG of excitation voltage adjustable synchronous generator interface, P determines, reactive power Q changes and change with V
P-Q (V) node of change；
The PV node that P and V determines will be equivalent to using the DG of voltage-controlled type power electronic equipment interface；
The PI nodes that P and electric current I determines will be equivalent to using the DG of current-control type power electronic equipment interface；
PQ nodes will be equivalent to using the DG of invariable power factor controlling asynchronous wind driven generator interface；
The DG that invariable power factor controlling asynchronous wind driven generator interface will be provided without is equivalent to P-Q (V) node.
It is further preferred that the relation of QG and V is in P-Q (V) node：
Wherein, x is stator reactance and rotor reactance sum, and xm is field excitation branch line reactance.
It is further preferred that the relation of QE and I is in the PI nodes：
Present invention employs a kind of tidal current computing method of new distributed power source, the interface shape of distributed power source is determined
Afterwards, the PV that active-power P and voltage V determine will be equivalent to using the distributed power source of excitation voltage constant synchronization generator interface
Node, will be equivalent to P determinations, reactive power Q and change with V using the distributed power source of excitation voltage adjustable synchronous generator interface
And P-Q (V) node for changing, determine P and V is equivalent to using the distributed power source of voltage-controlled type power electronic equipment interface
PV node, the PI sections that P and electric current I determine will be equivalent to using the distributed power source of current-control type power electronic equipment interface
Point, will be equivalent to PQ nodes using the distributed power source of invariable power factor controlling asynchronous wind driven generator interface, will be provided without perseverance
The distributed power source of power control asynchronous wind driven generator interface is equivalent to P-Q (V) node.Because, different distributions
Power grid uses different interface shapes, mainly includes synchronous generator interface, asynchronous generator interface and power electronics dress
The class of interface three is put, wherein, synchronous generator interface includes that excitation voltage is constant and the adjustable two ways of excitation voltage, power electronics
Device interface bag voltage-controlled type and current-control type, asynchronous wind driven generator interface is including using constant power factor control and not
Using two kinds of constant power factor control, therefore, will be equivalent to accordingly using the different type distributed power source of distinct interface form
Power flow algorithm, make calculation of tidal current more accurately and reliably.
The above is the preferred embodiment of the present invention, for those skilled in the art,
Without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications are also regarded as this hair
Bright protection domain.
Claims (6)
1. a kind of voltage constrains the computational methods of DG allowed capacities in lower active distribution network, it is characterized in that, comprise the following steps：
(1) the access quantity of DG and access place in planning active distribution network；
(2) determine that DG accesses the method for operation that combination and various DG are accessed under combination；
(3) determine at times the access quantity of DG and in each period DG generated energy and load value；
(4) the DG access capacities that all periods under combining are accessed to each DG carry out tide optimization calculating；
(5) determining active distribution network can receive the object function of DG maximum capacities to be：
In formula (1), MCNFor DG accesses number of combinations, N is DG number of nodes, Pc DGiIt is the active power of DG node is；
(6) the optimal DG access capacities of each access point are determined according to step (5) described object function；
DG access capacities to all periods under each DG access combinations described in step (4) carry out tide optimization calculating
Process is comprised the following steps：
(41) Load flow calculation is carried out to the DG access capacities that a DG accesses combination lower first period, determines that the DG is accessed under combination
The maximum DG access capacities of the first period；
(42) Load flow calculation is carried out to the DG access capacities that the DG accesses combination lower other periods respectively, determines that the DG accesses combination
The maximum DG access capacities of lower other periods, so as to complete the maximum DG access capacities that the DG accesses lower each access point of combination；
(43) the maximum DG access capacities of all periods under combination are accessed in repeat step (41) and (42) to other DG respectively.
2. a kind of voltage according to claim 1 constrains the computational methods of DG allowed capacities in lower active distribution network, and it is special
Levying is, the DG accesses the quantity MC of combinationNDetermined by following formula：
In formula (2), DGNIt is the quantity of DG.
3. a kind of voltage according to claim 1 constrains the computational methods of DG allowed capacities in lower active distribution network, and it is special
Levying is, the determination of the maximum DG access capacities of each period passes through active distribution network under various DG accesses combinations in step (4)
DG after middle optimization permeates power to determine, the optimization process of the DG infiltrations power is comprised the following steps：
The active power and reactive power equilibrium of each node can be expressed as such as formula (3) and formula (4)：
In formula (3) and formula (4),It is grid generator active power output,To access the DG active power outputs of i points, αmFor DG goes out
Power percentage, θ is phase angle；
Line Flow equation is represented by：
In formula (5) and formula (6),WithThe effective power flow and reactive power flow of difference circuit, BijIt is line admittance,It is voltage magnitude,It is phase angle；
The constraints of Line Flow is：
In formula (7) to formula (11), T is OLTC no-load voltage ratios, and θ is power-factor angle, and P, Q are respectively active power and reactive power；
The constraint formula of DG access capacities is：
In formula (12),WithThe respectively effective power flow and reactive power flow of circuit,It is the steady limit of circuit heat；
The DG infiltration power of each node is after optimization：
In formula (13),To access the DG capacity of i-node after optimization.
4. a kind of voltage according to claim 1 constrains the computational methods of DG allowed capacities in lower active distribution network, and it is special
Levying is, the process of the Load flow calculation is comprised the following steps：
Determine the interface shape of DG；
The PV node that active-power P and voltage V determine will be equivalent to using the DG of excitation voltage constant synchronization generator interface；
By being equivalent to using the DG of excitation voltage adjustable synchronous generator interface, P determines, reactive power Q changes and changes with V
P-Q (V) node；
The PV node that P and V determines will be equivalent to using the DG of voltage-controlled type power electronic equipment interface；
The PI nodes that P and electric current I determines will be equivalent to using the DG of current-control type power electronic equipment interface；
PQ nodes will be equivalent to using the DG of invariable power factor controlling asynchronous wind driven generator interface；
The DG that invariable power factor controlling asynchronous wind driven generator interface will be provided without is equivalent to P-Q (V) node.
5. a kind of voltage according to claim 4 constrains the computational methods of DG allowed capacities in lower active distribution network, and it is special
Levying is, the relation of QG and V is in P-Q (V) node：
Wherein, x is stator reactance and rotor reactance sum, xmIt is field excitation branch line reactance.
6. a kind of voltage according to claim 4 constrains the computational methods of DG allowed capacities in lower active distribution network, and it is special
Levying is, the relation of QE and I is in the PI nodes：
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510290393.9A CN104836260B (en) | 2015-05-29 | 2015-05-29 | Calculation method for allowed capacity of DGs in active power distribution network under voltage constraint |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510290393.9A CN104836260B (en) | 2015-05-29 | 2015-05-29 | Calculation method for allowed capacity of DGs in active power distribution network under voltage constraint |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104836260A CN104836260A (en) | 2015-08-12 |
| CN104836260B true CN104836260B (en) | 2017-05-24 |
Family
ID=53813957
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510290393.9A Active CN104836260B (en) | 2015-05-29 | 2015-05-29 | Calculation method for allowed capacity of DGs in active power distribution network under voltage constraint |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104836260B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106253335B (en) * | 2016-06-16 | 2020-01-17 | 上海交通大学 | Power distribution network planning method with uncertain distributed power supply capacity and access position |
| CN106099984B (en) * | 2016-07-29 | 2018-10-19 | 清华大学 | A kind of active distribution network distributed generation resource maximum capacity appraisal procedure of data-driven |
| CN106684917A (en) * | 2017-03-07 | 2017-05-17 | 西华大学 | Positional dynamic optimization and allowed capacity calculating method and system for distributed power supplies |
| CN108206538A (en) * | 2018-01-10 | 2018-06-26 | 国网福建省电力有限公司 | A kind of distributed generation resource Optimizing Site Selection constant volume planing method for considering that network loss is optimal |
| CN108493996A (en) * | 2018-04-03 | 2018-09-04 | 国电南瑞科技股份有限公司 | A kind of randomness power supply maximum penetration level model foundation and method for solving |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| ATE270771T1 (en) * | 2000-03-09 | 2004-07-15 | Abb Research Ltd | ARRANGEMENT FOR GENERATING ELECTRICAL ENERGY FROM A MAGNETIC FIELD |
| CN103580061B (en) * | 2013-10-28 | 2015-05-20 | 贵州电网公司电网规划研究中心 | Microgrid operating method |
-
2015
- 2015-05-29 CN CN201510290393.9A patent/CN104836260B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN104836260A (en) | 2015-08-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104836260B (en) | Calculation method for allowed capacity of DGs in active power distribution network under voltage constraint | |
| Adetokun et al. | Impact of integrating large-scale DFIG-based wind energy conversion system on the voltage stability of weak national grids: A case study of the Nigerian power grid | |
| CN105243516B (en) | Distributed photovoltaic power generation maximum digestion capability computing system based on active distribution network | |
| CN108711868A (en) | It is a kind of meter and islet operation voltage security GA for reactive power optimization planing method | |
| CN112491043A (en) | New energy enrichment power grid power supply planning method and system | |
| CN106786625A (en) | Distribution network voltage control method for coordinating based on distributing-supplying-energy system interaction capability | |
| CN108599239A (en) | A kind of droop control type isolated island micro-capacitance sensor voltage quality probability evaluation method of failure | |
| Fanglei et al. | Estimating maximum penetration level of renewable energy based on frequency stability constrains in power grid | |
| CN102904266A (en) | Method for determining inactive compensation capacity network adaptability of wind power plant | |
| CN105281371A (en) | Telescopic active static safety domain taking wind power generation into account | |
| CN110970905A (en) | Multi-power-supply reactive power coordination method and system for optimizing voltage control capability of wind power plant | |
| CN106712032A (en) | Optimal power flow model construction method considering active power voltage regulation capacity of wind turbine generator set | |
| CN106816879A (en) | Active power distribution network voltage coordination control method based on emergency demand response | |
| CN104376205B (en) | Access power distribution network distributed generation resource Benefit Evaluation Method based on information content flexible strategy method | |
| Chowdhury et al. | Optimal placement and sizing of renewable distributed generation in electricity networks considering different load models | |
| Nawaz et al. | A novel approach for multiple DG allocation in real distribution system | |
| CN108805354A (en) | A kind of power distribution network photovoltaic installation method and system for planning based on honourable time series | |
| Nawaz et al. | A new technique to solve dg allocation problem for distribution power loss minimization | |
| Ciocia | Optimal Power Sharing between Photovoltaic Generators, Wind Turbines, Storage and Grid to Feed Tertiary Sector Users | |
| Nawaz et al. | A novel approach for multiple DG allocation in distribution system of jaipur city | |
| CN112736913A (en) | Method for analyzing influence factors of power optimization mode of power distribution network containing distributed power supply | |
| CN105262107A (en) | Wind power grid connected reactive optimization method | |
| Xu et al. | Optimal sizing of small hydro power plants in consideration of voltage control | |
| Phan-Tan et al. | Optimal pv inverter control for network voltage and power factor regulation | |
| CN112670978B (en) | Power grid operation optimization method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| EXSB | Decision made by sipo to initiate substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| CB03 | Change of inventor or designer information |
Inventor after: Cang Hongzhi Inventor after: Zhao Yan Inventor after: Ni Yuanyuan Inventor after: Li Lisheng Inventor after: Yu Xiaodong Inventor after: Liu Xiaoming Inventor after: Kou Yan Inventor after: Zhang Ning Inventor after: Li Suwen Inventor after: Yue Caiyang Inventor after: Zhang Hao Inventor before: Cang Hongzhi Inventor before: Liu Xiaoming Inventor before: Li Lisheng Inventor before: Zhang Ning Inventor before: Ni Yuanyuan Inventor before: Li Suwen Inventor before: Yue Caiyang Inventor before: Zhao Yan |
|
| COR | Change of bibliographic data | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20160921 Address after: Ten weft road Huaiyin District of Ji'nan city of Shandong Province, No. 111 250021 Applicant after: Research Institute of Economics and Technology, State Grid Shandong Electric Power Company Applicant after: State Grid Corporation of China Applicant after: Qilu University of Technology Address before: Ten weft road Huaiyin District of Ji'nan city of Shandong Province, No. 111 250021 Applicant before: Research Institute of Economics and Technology, State Grid Shandong Electric Power Company Applicant before: State Grid Corporation of China |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |