CN109802448A - A kind of renewable energy maximum consumption capacity analysis calculation method - Google Patents
A kind of renewable energy maximum consumption capacity analysis calculation method Download PDFInfo
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Abstract
A kind of renewable energy maximum consumption capacity analysis calculation method, comprising: utilize state estimate method using fast decoupled P Q, simplify renewable energy system computation model；Using network theory, line loss, transformer loss, node voltage landing, node branch current are calculated；It defines and selection technique index, analysis renewable energy accesses the influence to power grid power supply capacity；Electrical computation scenarios are defined, under different access conditions, capacity can be dissolved by calculating separately renewable energy.The method of the present invention analysis result is accurate and reliable, and application is strong, has extremely strong generalization and practicability, provides strong technical support for the planning of orderly development renewable energy.
Description
Technical field
The present invention relates to renewable energy planning technology field, specifically a kind of renewable energy maximum dissolves capacity analysis
Calculation method.
Background technique
Renewable energy power generation technology develops rapidly in recent years, while bringing a large amount of economic and social benefit,
Its voltge surge generated, trend anti-the problems such as sending, constitute huge impact to power distribution network safe and stable operation.However at present
The various aspects factor such as technology, economy and environment is comprehensively considered during grid-connected for renewable energy, its maximum can be dissolved
The capacity and research for carrying out analysis and prediction is also less.
Summary of the invention
The present invention provides a kind of renewable energy maximum consumption capacity analysis calculation method, can be renewable to region maximum
Energy consumption ability carries out quantum chemical method, effectively facilitates the orderly management of Renewable Energy Development.It is accurate that this method analyzes result
Reliably, application is strong, has extremely strong generalization and practicability, provides strong skill for the planning of orderly development renewable energy
Art support.
The technical scheme adopted by the invention is as follows:
A kind of renewable energy maximum consumption capacity analysis calculation method, comprising:
Step 1: utilizing state estimate method using fast decoupled P Q, simplify renewable energy system computation model；
Step 2: calculating line loss, transformer loss, node voltage landing, node branch current；
Step 3: defining and selection technique index, analysis renewable energy access the influence to power grid power supply capacity；
Step 4: defining electrical computation scenarios, under different access conditions, capacity can be dissolved by calculating separately renewable energy.
In the step 1, using state estimate method using fast decoupled P Q, simplify renewable energy system computation model,
The computation model simplifies are as follows:
State vector x is divided for amplitude ν and voltage phase angle θ two major classes:
In formula: θ np× 1 rank node voltage phase angle vector；ν is nq× 1 rank node voltage amplitude vector (np=nq)；
Vector z will be measured and be also classified into active and idle two parts:
In formula: zpIndicate mpThe active measurement vector of × 1 rank, the direction of active power in high pressure ring, including node injection
Active-power PiAnd branch effective power flow Pij、PjiMeasured value；zqIndicate mq× 1 rank is idle measurement vector, in high pressure ring
The direction of middle reactive power, including node inject reactive power QiAnd branch reactive power flow Qij、QjiMeasured value；ν is nq×1
Rank voltage magnitude vector；θ indicates np× 1 rank voltage-phase vector；wqIt indicates to correspond to zqNpThe random error in measurement arrow of × 1 rank
Amount；wpIt indicates to correspond to zpNp× 1 rank measures error vector at random.
In the step 1, the Iteration of the 1st PQ decomposition method:
In formula: V, Δ V respectively indicate nq× 1 rank node voltage amplitude vector and its variable quantity (nq=np)；θ, Δ θ difference
Indicate np× 1 rank node voltage phase angle vector and its variable quantity；V0Indicate the voltage value of system reference node；Bp、BqIt respectively indicates
mp×npRank P-Q class constant Jacobian matrix, mp×npRank Q-V class constant Jacobian matrix；RpIt indicates to correspond to zpMpRank
Weighting coefficient square matrix；RqIt indicates to correspond to zqMqRank weighting coefficient square matrix；
The convergence criterion of PQ decomposition method are as follows:
|Δxi l|max<εx (4)
In formula: i is the serial number of component in vector x, εxFor given error, the 10 of reference voltage amplitude are taken-6~10-4。
In the step 2, line loss are as follows:
In formula: Pij (i)、Pij (j)、Qij (i)、Qij (j)Respectively indicate the power that the direction route i-j passes through；
Transformer loss are as follows:
In formula: p1、p2、p3、q1、q2、q3Respectively indicate the active and reactive power of high, normal, basic three side of transformer；ΔP0It indicates
The no-load loss of transformer；U1NIndicate the voltage rating of high-pressure side winding；Rk1、Rk2、Rk3Reduction is respectively indicated on high-tension side three
Side substitutional resistance；I0The no-load current percentage of indication transformer；SNThe rated capacity of indication transformer；xk1、xk2、xk3Table respectively
Show reduction on high-tension side three side equivalent reactance.
Node voltage landing are as follows:
In formula: Rj、XjRespectively indicate substitutional resistance and the reactance of jth section feeder line；PL.i、QL.iRespectively indicate the load of node i
Active power and reactive power；PDG.iIndicate the renewable energy energy generated output in node i.
Node branch current are as follows:
In formula: PDG.BUS、QG.BUSRespectively indicate the renewable energy wattful power by access via telephone line substation low-voltage side bus
Rate and reactive power；VNIndicate rated voltage amplitude.
Corresponding constraint condition are as follows:
Node voltage constraint are as follows:
Vi min≤Vi≤Vi max (5)
In formula: Vi max、Vi minThe respectively permitted voltage magnitude upper and lower limit of node i；ViFor the voltage magnitude of node i.
Power and capacity of trunk constrain are as follows:
In formula: PgiAnd QgiRespectively indicate the active power and reactive power of injection node i；PliAnd QliRespectively indicate node i
The active power and reactive power of load, Ω indicate all node sets being connected with i-node, pliAnd qliRespectively indicate i-node
With the route active power and reactive power of j node.
Busbar voltage constraint are as follows:
In formula: Vmax bus.i、Vmin bus.iRespectively indicate the permitted bus voltage amplitude upper and lower limit of node i；Vbus.iIt indicates
The bus voltage amplitude of node i.
In the step 3, technical indicator includes: maximum load rate, voltage deviation, protective relaying device parameter, harmonic wave；
Maximum load rate: in view of uncertain factors such as the data precisions of low and medium voltage distribution network electrical component, maximum is negative
Load rate is set as 95%；
Voltage deviation: the allowed band of three-phase voltage deviation is nominal voltage ± 7%, 220V in 10kV and 380V power distribution network
The voltage deviation of single-phase electric consumption on lighting is+the 7% Dao -10% of nominal voltage；
Protective relaying device parameter: in adaptive setting, 1.2 to 1.3 times of safety factor of maximum current is selected；
Harmonic wave: voltage total harmonic distortion factor is no more than 4%.
In the step 4, electrical computation scenarios include 4 kinds of extreme cases:
Scene one: selection peak load, renewable energy power generation 0；
Scene two: typical minimum load day noon minimum load, no renewable energy access are selected；
Scene three: typical minimum load day noon minimum load, maximum renewable energy access are selected；
Scene four: selection peak load, maximum renewable energy access.
By the renewable energy power generation capacity in the case of above-mentioned 4 kinds before calculating, each node is assigned to according to installed capacity；Most
The renewable energy capacity result that dissolves that aforesaid way obtains is compared afterwards, obtaining the route maximum renewable energy can
Dissolve capacity.
In the step 4, different access conditions refer to 4 kinds of electrical computation scenarios defined in step 4.
A kind of renewable energy maximum of the present invention dissolves capacity analysis calculation method, and technical effect is as follows:
1), simplify power system computation model using state estimate method using fast decoupled P Q, tradition PQ decomposition method is compared, in phase
Under the premise of required precision, it can reduce and calculate the time.
2) it, chooses crucial calculate node and not all node calculates electric parameter, calculation amount can be effectively reduced, accelerate to calculate
Speed.
3), definition and selection technique index quantify influence of the renewable energy system to power distribution network.
4), renewable energy consumption capacity is with the function of power load and renewable energy installed capacity variation, this hair
It is bright by defining electrical computation scenarios analytical technology index, can solve the problems, such as the discreteness electrically calculated.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples:
Fig. 1 is the radiant type electricity distribution network model figure for being connected to distributed energy.
Fig. 2 (1) is that globalization power grid maximum renewable energy dissolves capacity analysis flow chart (from top to bottom)；
Fig. 2 (2) is that globalization power grid maximum renewable energy dissolves capacity analysis flow chart (from bottom to top).
Fig. 3 is the calculation flow chart based on INTEGRAL.
Fig. 4 is the electrical computation model figure in somewhere.
Fig. 5 is that each Scene Simulation calculates voltage's distribiuting comparison diagram.
Fig. 6 is the reliability comparison diagram that each Scene Simulation calculates.
Fig. 7 is the network loss situation comparison diagram that each Scene Simulation calculates.
Specific embodiment
A kind of renewable energy maximum consumption capacity analysis calculation method, uses for reference current new energy power generation technology in the world most
Theory and analysis method are accessed for leading German distributed energy, it is true using the INTERGRAL analysis software authenticated through European Union
Guarantor's analysis result is accurate and reliable, and application is strong, and the feature in area and resource situation is combined to establish model, using the model of foundation
Quantum chemical method has been carried out to each node voltage, reliability, network loss, maximum renewable energy consumption capacity, it is obtained by calculation
Maximum renewable energy digestion capability as a result, in conjunction with the characteristics of power distribution network, carry out renewable energy system respectively to matching
Impact analysis in terms of power grid operation, system protection, power quality and power supply reliability.It is renewable under the new situation to improve
Energy power generation and the coordinated development of power grid lay the foundation.
Below with reference to examples and drawings, the present invention is done and is further described in detail, but embodiments of the present invention are not
It is limited to this.
Fig. 1 is the radiant type electricity distribution network model for being connected to distributed energy.Currently, limitation DG access is mainly by node voltage
The influence of constraint condition.If certain radiant type power distribution network shares N number of node, have on each node renewable energy source current and
Load, if certain node does not have renewable energy source current or load, power can be set as zero.No. 0 node indicates that distribution is female in figure
Line, (Rk,Xk) indicate kth section feeder line equivalent impedance, PBUSIt indicates through the renewable of access via telephone line substation low-voltage side bus
Energy power supply, PkIndicate the renewable energy power generation power on k-th of node, PL.k+jQL.kRepresent the load function of k-th of node
Rate.
By the way of the present invention is combined using " from top to bottom " and " from bottom to top ", it is ensured that each voltage class and each region electricity
Renewable energy between net dissolves capacitance balance, as shown in Fig. 2 (1), Fig. 2 (2)." from top to bottom " on thinking is analyzed first
Grade substation such as 220kV substation maximum dissolves capacity, is distributed to substation, junior using alternative manner, and by determining power transformation
The maximum consumption capacity stood is distributed to each 35 or 10kV outlet；Then successively continuous iteration, eventually by alternative manner, most optimal sorting
It is fitted on low-pressure line-outgoing, determines the renewable energy power generation maximum consumption capacity of each area of low pressure." from bottom to top " analytical mathematics, it is main
The priority access for considering the distributed photovoltaic power generation of access low and medium voltage distribution network, from the angle of Medial & Low Voltage Power Network, under
Up bed-by-bed analysis finally show that the maximum of power grid can dissolve capacity.According to " from top to bottom " and " from bottom to top " two methods
Analysis as a result, bond area Renewable Energy Development feature determine power grid maximum renewable energy consumption capacity.It adopts simultaneously
With " from top to bottom " and " from bottom to top " analysis method, it is more advantageous to each large, medium and small renewable energy power generation of planning of science activities and phase
The cooperative development of voltage class power grid should be accessed.
The radiant type electricity distribution network model for being connected to distributed energy is initially set up, as shown in Figure 1, establishing by Fig. 1 renewable
Energy electricity generation system computation model.
The measurement equation of electric system are as follows:
Z=h (x)+v
In formula: z is measuring value vector；H (x) is the calculated value vector of measurement；V is error in measurement vector.
State estimation vector x is to make objective function after specified rate direction finding amount z
J (x)=[z-h (x)]TR-1[z-h(x)]
Reach the value of the smallest x.R in formula-1Indicate the weight of measurement.
Simplify renewable energy system computation model using state estimate method using fast decoupled P Q；Calculating line loss,
Transformer loss, voltage landing and branch current；Definition and selection technique index, analysis renewable energy access power to power grid
The influence of ability；Electrical computation scenarios are defined, renewable energy is calculated separately under different access conditions can dissolve capacity.Specifically
Embodiment is illustrated in fig. 3 shown below:
1. simplifying renewable energy system computation model:
1) Iteration of the 1st PQ decomposition method:
In formula: V, Δ V respectively indicate nq× 1 rank node voltage amplitude vector and its variable quantity (nq=np)；θ, Δ θ difference
Indicate np× 1 rank node voltage phase angle vector and its variable quantity；V0Indicate the voltage value of system reference node；Bp、BqIt respectively indicates
mp×npRank P-Q class constant Jacobian matrix, mp×npRank Q-V class constant Jacobian matrix；RpIt indicates to correspond to zpMpRank
Weighting coefficient square matrix；RqIt indicates to correspond to zqMqRank weighting coefficient square matrix.
TThe transposition of representing matrix, zpIndicate mpThe active measurement vector of × 1 rank, the direction of active power in high pressure ring,
Active-power P is injected including nodeiAnd branch effective power flow Pij、PjiMeasured value；zqIndicate mqMeasurement that × 1 rank is idle arrow
Amount, the direction of reactive power in high pressure ring, including node inject reactive power QiAnd branch reactive power flow Qij、QjiSurvey
Magnitude
hp(θ(l),V(l))、hq(θ(l),V(l)) respectively indicate the power component and reactive component for measuring function vector.
θ(l)、V(l)The value of voltage phase angle and amplitude after the l times iteration is respectively indicated,Respectively indicate system reference
The quadratic power and biquadratic of the voltage value of node.
(-Bp)T、(-Bq)TRespectively indicating indicates mp×npRank P-Q class constant Jacobian matrix, mp×npRank Q-V class constant
- 1 times of Jacobian matrix of transposed matrix,It indicates to correspond to zpMpRank weighting coefficient inverse of a square matrix,Show and corresponds to
zqMqRank weighting coefficient inverse of a square matrix
-Bp、-Bq(-Bq)TRespectively indicating indicates mp×npRank P-Q class constant Jacobian matrix, mp×npRank Q-V class constant
- 1 times of matrix of Jacobian matrix
2) convergence criterion:
|Δxi (l)|max<εx (8)
In formula: Δ xi (l)For the variable quantity of i-th of state vector after the l times iteration, εxFor given error, take benchmark electric
The 10 of pressure amplitude value-6~10-4。
2. line loss, transformer loss:
1) line loss:
Δ P=pij (i)+pij (j)
Δ Q=qij (i)+qij (j)
In formula: Pij (i)、Pij (j)、Qij (i)、Qij (j)Respectively indicate the power that the direction route i-j passes through.
2) transformer loss:
In formula: p1、p2、p3、q1、q2、q3Respectively indicate the active and reactive power of high, normal, basic three side of transformer；ΔP0It indicates
The no-load loss of transformer；U1NIndicate the voltage rating of high-pressure side winding；Rk1、Rk2、Rk3Reduction is respectively indicated on high-tension side three
Side substitutional resistance；I0The no-load current percentage of indication transformer；SNThe rated capacity of indication transformer；xk1、xk2、xk3Table respectively
Show reduction on high-tension side three side equivalent reactance.
3. node voltage landing, node branch current:
1) voltage landing:
In formula: Rj、XjRespectively indicate substitutional resistance and the reactance of jth section feeder line；PL.i、QL.iRespectively indicate the load of node i
Active power and reactive power；PDG..iIndicate the renewable energy energy generated output in node i.
2) branch current:
In formula: PDG.BUS、QG.BUSRespectively indicate the renewable energy wattful power by access via telephone line substation low-voltage side bus
Rate and reactive power；VNIndicate rated voltage amplitude.
PL.i、QL.iRespectively indicate the load active power and reactive power of node i, PDG.iIndicate renewable in node i
Energy energy generated output, k indicate that kth branch in power distribution network, j indicate that jth section feeder line in power distribution network, n indicate the power distribution network
Share n node
4. constraint condition:
1) node voltage constrains:
Vi min≤Vi≤Vi max
In formula: Vi max、Vi minThe respectively permitted voltage magnitude upper and lower limit of node i；ViFor the voltage magnitude of node i.
2) power and capacity of trunk constrain:
In formula: PgiAnd QgiRespectively indicate the active power and reactive power of injection node i；PliAnd QliRespectively indicate node i
The active power and reactive power of load, Ω indicate all node sets being connected with i-node, pliAnd qliRespectively indicate i-node
With the route active power and reactive power of j node.
3) busbar voltage constrains are as follows:
In formula: Vmax bus.i、Vmin bus.iRespectively indicate the permitted bus voltage amplitude upper and lower limit of node i；Vbus.iIt indicates
The bus voltage amplitude of node i.
5. technical indicator:
1), maximum load rate:
The uncertain factors such as the data precision in view of low and medium voltage distribution network electrical component, maximum load rate are set as
95%.
2), voltage deviation:
The allowed band of three-phase voltage deviation is the single-phase illumination of nominal voltage ± 7%, 220V in 10kV and 380V power distribution network
The voltage deviation of electricity consumption is+the 7% Dao -10% of nominal voltage.
3), protective relaying device parameter:
In adaptive setting, 1.2 to 1.3 times of safety factor of maximum current is selected.
4), harmonic wave:
Voltage total harmonic distortion factor is no more than 4%.
6. defining electrical computation scenarios:
1), scene one:
Select peak load, renewable energy power generation 0.
2), scene two:
Select typical minimum load day noon minimum load, no renewable energy access.
3), scene three:
Select typical minimum load day noon minimum load, maximum renewable energy access.
4), scene four:
Different access conditions refer to the 4 kinds of electrical computation scenarios defined in step 6
Select peak load, maximum renewable energy access.
The method of the present invention carries out quantum chemical method to region maximum renewable energy digestion capability, is orderly development renewable energy
Source planning provides strong technical support.And be conducive to each large, medium and small renewable energy power generation of planning of science activities and corresponding access
The cooperative development of voltage class power grid.
Embodiment:
The present embodiment verifies the validity of proposed method, verification environment setting are as follows: 10kV by the practical power distribution network in somewhere
For 13.65km, radius of electricity supply 5.60km, route is mainly LGJ-120 overhead transmission line, mounts public capacity of distribution transform and is
2065kVA, 2017 annual peak loads are 3122kW, and renewable energy is photovoltaic power generation.Its route electric diagram is shown in Fig. 4, and with this
Electrical computation model is constructed based on figure.
Node, specially change mounting node selection key node are mounted according to each branch line branch node, public become, sees Fig. 4.
The major parameter that each node distributes is directed into software for calculation according to 10kV line node isoboles.It is calculated each
The voltage's distribiuting of key node is as shown in Figure 5.
By calculated result: after accessing photo-voltaic power supply, since the power conveyed from distribution transforming on route reduces, because
This voltage along each load bus of route will increase, it is also possible to the variation that therefore will appear sub-load node is exceeded
The phenomenon that.
The reliability that each Scene Simulation calculates is as shown in Figure 6.
By calculated result: after photovoltaic access, being influenced on the reliability of each node, main reason is that photovoltaic
After access, the element of power grid increases, and the probability of power failure is also increase accordingly.Photovoltaic access after on No. 38 load bus to influence most
Greatly, after 53.56 minutes when accessing from no photovoltaic reducing access by 58.09 minutes, decline 4.53 minutes, that is, decline 8.1%.
The network loss situation that each Scene Simulation calculates is as shown in Figure 7.
By calculated result: the influence that photovoltaic accesses after distribution network systems to network loss is related with the size of original load,
In load minimum value, maximum photovoltaic access causes network loss to rise to 52kW from 11kW；And photovoltaic connects in peak load
It is fashionable, it is but advantageous to network loss is reduced, 37kW is reduced to from the 127kW under the conditions of unglazed volt.
From the point of view of the analysis of scene three, photovoltaic access influences quality of voltage maximum.Photovoltaic can be opened in calculating maximum to connect
Enter capacity, needs to consider several factors, such as position and the power output size, system load characteristic and conventional power unit of photovoltaic plant
Characteristic etc..
At minimum load 950kW, when photovoltaic access capacity is 3450kW be maximum is calculated to open capacity, therefore
Under conditions of allowing trend to convey to upper level power grid, the open capacity of the 10kV route maximum is 3450kW.
Claims (7)
1. a kind of renewable energy maximum dissolves capacity analysis calculation method, characterized by comprising:
Step 1: utilizing state estimate method using fast decoupled P Q, simplify renewable energy system computation model；
Step 2: calculating line loss, transformer loss, node voltage landing, node branch current；
Step 3: defining and selection technique index, analysis renewable energy access the influence to power grid power supply capacity；
Step 4: defining electrical computation scenarios, under different access conditions, capacity can be dissolved by calculating separately renewable energy.
2. a kind of renewable energy maximum dissolves capacity analysis calculation method according to claim 1, it is characterised in that: described
In step 1, using state estimate method using fast decoupled P Q, simplify renewable energy system computation model, computation model letter
It turns to:
State vector x is divided for amplitude ν and voltage phase angle θ two major classes:
In formula: θ np× 1 rank node voltage phase angle vector；ν is nq× 1 rank node voltage amplitude vector (np=nq)；
Vector z will be measured and be also classified into active and idle two parts:
In formula: zpIndicate mpThe active measurement vector of × 1 rank, the direction of active power in high pressure ring, including node injection are active
Power PiAnd branch effective power flow Pij、PjiMeasured value；zqIndicate mq× 1 rank is idle measurement vector, the nothing in high pressure ring
The direction of function power, including node inject reactive power QiAnd branch reactive power flow Qij、QjiMeasured value；ν is nq× 1 rank electricity
Pressure amplitude value vector；θ indicates np× 1 rank voltage-phase vector；wqIt indicates to correspond to zqNp× 1 rank measures error vector at random；wp
It indicates to correspond to zpNp× 1 rank measures error vector at random.
3. a kind of renewable energy maximum dissolves capacity analysis calculation method according to claim 1, it is characterised in that: described
In step 1, the Iteration of the 1st PQ decomposition method:
In formula: V, Δ V respectively indicate nq× 1 rank node voltage amplitude vector and its variable quantity (nq=np)；θ, Δ θ respectively indicate np
× 1 rank node voltage phase angle vector and its variable quantity；V0Indicate the voltage value of system reference node；Bp、BqRespectively indicate mp×np
Rank P-Q class constant Jacobian matrix, mp×npRank Q-V class constant Jacobian matrix；RpIt indicates to correspond to zpMpRank weighting system
Number square matrix；RqIt indicates to correspond to zqMqRank weighting coefficient square matrix；
The convergence criterion of PQ decomposition method are as follows:
|Δxi l|max<εx (4)
In formula: i is the serial number of component in vector x, εxFor given error, the 10- of reference voltage amplitude is taken6~10-4。
4. a kind of renewable energy maximum dissolves capacity analysis calculation method according to claim 1, it is characterised in that: described
In step 2, line loss are as follows:
In formula: Pij (i)、Pij (j)、Qij (i)、Qij (j)Respectively indicate the power that the direction route i-j passes through；
Transformer loss are as follows:
In formula: p1、p2、p3、q1、q2、q3Respectively indicate the active and reactive power of high, normal, basic three side of transformer；ΔP0Indicate transformation
The no-load loss of device；U1NIndicate the voltage rating of high-pressure side winding；Rk1、Rk2、Rk3Reduction is respectively indicated on high-tension side three side etc.
It is worth resistance；I0The no-load current percentage of indication transformer；SNThe rated capacity of indication transformer；xk1、xk2、xk3It respectively indicates and returns
Calculate on high-tension side three side equivalent reactance；
Node voltage landing are as follows:
In formula: Rj、XjRespectively indicate substitutional resistance and the reactance of jth section feeder line；PL.i、QL.iThe load for respectively indicating node i is active
Power and reactive power；PDG.iIndicate the renewable energy energy generated output in node i；
Node branch current are as follows:
In formula: PDG.BUS、QG.BUSRespectively indicate through the renewable energy active power of access via telephone line substation low-voltage side bus and
Reactive power；VNIndicate rated voltage amplitude；
Corresponding constraint condition are as follows:
Node voltage constraint are as follows:
Vi min≤Vi≤Vi max (5)
In formula: Vi max、Vi minThe respectively permitted voltage magnitude upper and lower limit of node i；ViFor the voltage magnitude of node i；
Power and capacity of trunk constrain are as follows:
In formula: PgiAnd QgiRespectively indicate the active power and reactive power of injection node i；PliAnd QliRespectively indicate node i load
Active power and reactive power, Ω indicates all node sets for being connected with i-node, pliAnd qliRespectively indicate i-node and j
The route active power and reactive power of node；
Busbar voltage constraint are as follows:
In formula: Vmax bus.i、Vmin bus.iRespectively indicate the permitted bus voltage amplitude upper and lower limit of node i；Vbus.iIndicate node i
Bus voltage amplitude.
5. a kind of renewable energy maximum dissolves capacity analysis calculation method according to claim 1, it is characterised in that: described
In step 3, technical indicator includes: maximum load rate, voltage deviation, protective relaying device parameter, harmonic wave；
Maximum load rate: in view of the uncertain factors such as the data precision of low and medium voltage distribution network electrical component, maximum load rate
It is set as 95%；
Voltage deviation: the allowed band of three-phase voltage deviation is that nominal voltage ± 7%, 220V is single-phase in 10kV and 380V power distribution network
The voltage deviation of electric consumption on lighting is+the 7% Dao -10% of nominal voltage；
Protective relaying device parameter: in adaptive setting, 1.2 to 1.3 times of safety factor of maximum current is selected；
Harmonic wave: voltage total harmonic distortion factor is no more than 4%.
6. a kind of renewable energy maximum dissolves capacity analysis calculation method according to claim 1, it is characterised in that: described
In step 4, electrical computation scenarios include 4 kinds of extreme cases:
Scene one: selection peak load, renewable energy power generation 0；
Scene two: typical minimum load day noon minimum load, no renewable energy access are selected；
Scene three: typical minimum load day noon minimum load, maximum renewable energy access are selected；
Scene four: selection peak load, maximum renewable energy access；
By the renewable energy power generation capacity in the case of above-mentioned 4 kinds before calculating, each node is assigned to according to installed capacity；It is finally right
What aforesaid way obtained, which dissolve renewable energy capacity result, is compared, and obtaining the route maximum renewable energy can dissolve
Capacity.
7. a kind of renewable energy maximum dissolves capacity analysis calculation method according to claim 1, it is characterised in that: described
In step 4, different access conditions refer to 4 kinds of electrical computation scenarios defined in step 4.
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| CN111695235A (en) * | 2020-04-24 | 2020-09-22 | 广东电网有限责任公司 | Regional decomposition method, device and system for renewable energy consumption responsibility weight |
| CN113270861A (en) * | 2021-04-14 | 2021-08-17 | 国网甘肃省电力公司经济技术研究院 | Limit capacity calculation method for accessing renewable energy into power grid |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111695235A (en) * | 2020-04-24 | 2020-09-22 | 广东电网有限责任公司 | Regional decomposition method, device and system for renewable energy consumption responsibility weight |
| CN111695235B (en) * | 2020-04-24 | 2023-05-26 | 广东电网有限责任公司 | Regional decomposition method, device and system for renewable energy source absorption responsibility weight |
| CN113270861A (en) * | 2021-04-14 | 2021-08-17 | 国网甘肃省电力公司经济技术研究院 | Limit capacity calculation method for accessing renewable energy into power grid |
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