CN109830976A - A kind of alternating current-direct current mixing distribution elasticity of net operation regulation method - Google Patents
A kind of alternating current-direct current mixing distribution elasticity of net operation regulation method Download PDFInfo
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Abstract
The invention discloses a kind of alternating current-direct current mixing distribution elasticity of net to run regulation method, turn to carry out Holistic modeling for model by establishing distribution elasticity of net assessment index, energy storage model, wind-powered electricity generation and photovoltaic power output model and building alternating current-direct current power distribution network timing, since the model is a nonlinear mixed-integer programming model, difficult and inefficiency is solved using intelligent algorithm or enumerative technique, the present invention proposes that a kind of greedy search algorithm is used for solving optimization model thus.When breaking down in alternating current-direct current mixing power distribution network, pass through institute's climbing form type, meter and turn confession and the control ability of energy storage, various wind-powered electricity generations and photovoltaic distributed power supply and adjacent interconnection backup power source capacity carry out load transfer to failure distribution web area in joint distribution region, elasticity indexes calculating is carried out for result according to turn, and energy storage day part power output is optimized with finally by improvement particle swarm algorithm, the optimal power output mode of an energy storage is obtained, it is final to realize the operation of fault zone power distribution network maximum flexibility.
Description
Technical field
The invention belongs to electric system city power distribution elasticity of net assessment technology fields, and in particular to a kind of mixing of alternating current-direct current is matched
Power grid elasticity runs regulation method.
Background technique
Urban power distribution network load density is high in recent years, all has higher requirements to power supply reliability and power quality, however city
City space is limited, by assuming that new line has become more difficult to meet the sustainable growth of load, although general city at present
City's power distribution network power supply capacity is larger, however since section transimission power etc. constrains, there are choking phenomena between many routes, face to face
When facing load boom period, there is larger power supply pressure in many regions of power distribution network, and power distribution network power supply elasticity is lower.And now with
Sharp, photovoltaic distributed renewable energy largely accesses power grid, and intermittence of contributing and randomness are pacified to the economy of power grid
Row for the national games brings enormous impact.On the other hand with the continuous maturation of current power electronic technique, the loss of inverter cost
It gradually decreases, so that many scholars are dedicated to the research of DC distribution net at present.The lossy low, power quality of DC distribution netting gear
High, power control is easy, the energy easy to clean accesses, transmission line capability is big and the advantages such as environmental pollution is small, and the alternating current-direct current in Fig. 1 is matched
The advantage of power grid combination AC and DC power distribution network has the advantage that topology is flexible, trend is controllable, can use original space and mention
The transmittability of route is risen, and the digestion capability of clean energy resource can be improved.
In existing correlative study, the basic conception and generation of elastic power grid and its restoring force are described in a document in detail
Various countries, boundary present Research, and need the disturbance time coped with, Assessment theory, restoring force Promotion Strategy etc. to enter from elastic power grid
Hand, detailed analysis elasticity power grid and its restoring force research direction and emphasis and the tool that elastic power grid is constructed under smart grid frame
Body measure；The Anti-Typhoon toughness assessment of power distribution network of a kind of reconstruct of consideration rack and disaster area telegram in reply process is proposed in an other document
Model according to the failure rate of equipment under different brackets typhoon, while considering concentrated, dispersing type, concentrating three kinds of dispersing type common
Faulty equipment distribution mode generates the equipment failure rate set under typhoon influence, by absorptivity, adaptation rate and repair rate 3 comprehensive
Hop index carries out quantificational description to result, and passes through the Example Verification feasibility of the assessment models；The prior art additionally provides
A kind of city elasticity distribution network restoration force estimation method by establishing district power distribution elasticity of net evaluation system, and utilizes AHP level
Analytic approach determines each index weight, chooses representative region from prevention stage, penetration stage and Restoration stage to urban power distribution network bullet
Property degree is assessed.
Nowadays influence of the Thief zone distributed generation resource to elasticity assessment, and above-mentioned two documents is not accounted in this method
Conventional AC power grid is only limited to the research of power grid elasticity, alterating and direct current elasticity of net is not studied, it is difficult to which adaptation is worked as
Preceding new situations and new environment requirement.
Summary of the invention
For above-mentioned deficiency in the prior art, alternating current-direct current mixing distribution elasticity of net provided by the invention runs regulation method
Solves the problems, such as above-mentioned background technique.
In order to achieve the above object of the invention, a kind of the technical solution adopted by the present invention are as follows: alternating current-direct current mixing distribution elasticity of net
Run regulation method, comprising the following steps:
S1, alternating current-direct current mixing distribution elasticity of net assessment index is determined；
S2, alternating current-direct current power distribution network timing turn is established for model；
S3, alternating current-direct current mixing power distribution network timing is turned using greedy search algorithm to obtain alternating current-direct current mixing for model solution
Load transfer result after distribution network failure；
S4, load transfer result progress elasticity is commented according to the calculation formula of alternating current-direct current mixing distribution elasticity of net assessment index
Estimate, obtains weighting elastic assessment index；
S5, pass through and improve particle swarm algorithm, to weight elastic assessment index as objective function, to alternating current-direct current mixing power distribution network
In each energy storage period output power optimize, determine the power output mode of alternating current-direct current mixing power distribution network, realize that alternating current-direct current mixing is matched
The elasticity operation regulation of power grid.
Further, when the alternating current-direct current mixing distribution elasticity of net assessment index in the step S1 includes that user averagely has a power failure
Between index, electric quantity loss index, in short-term customer interrupted quantitative indicator and long time electric supply failure user data index；
Wherein, the calculation formula of average power off time index RCML are as follows:
In formula, TfaultFor trouble duration；
ΩcFor the feed connection node set containing user；
αt,nFor node n t moment the situation that restores electricity；
TtFor the length of each time interval；
NnFor the number of users of node n；
The calculation formula of the electric quantity loss index RENS are as follows:
In formula, Lt,nFor node n t moment load power；
The quantitative indicator of the customer interrupted in short-term RSCI are as follows:
In formula, DnodeFor system node set；
CnFor the number of users in node n；
TonFor interruption duration of the node n in current power off time；
TsTo define the threshold value that the time has a power failure when short time has a power failure and is long；
The long time electric supply failure number of users index RLCI are as follows:
Further, the timing in the step S2 turns for model to include objective function and its constraint condition；
The constraint condition include active power Real-time Balancing constraint, reactive power Real-time Balancing constraint, DC power flow about
Beam, node voltage constrain, the power limit of each branch constrains and turn to constrain for process continuity；
Wherein, objective function are as follows:
min F(xsw,xbg)
In formula, F () is objective function；
xswTo switch the open and-shut mode in different periods；
xbgFor each available power supply different periods output power；
The active power Real-time Balancing constraint are as follows:
In formula, Pa,tFor the active power of t moment node a injection；
Ua,tFor the voltage magnitude of t moment node a；
NdFor to the node total number in reconstructed network；
B is node serial number；
Ub,tFor node b t moment voltage magnitude；
GabFor the conductance between node a and node b；
δab,tFor the susceptance between t moment node a and node b；
BabFor the susceptance between node a and node b；
T is the period set in failover process；
The reactive power Real-time Balancing constraint are as follows:
In formula, Qa,tFor the reactive power of t moment node a injection；
Ub,tThe voltage magnitude of t moment node b；
The DC power flow constraint are as follows:
In formula,For t moment direct current
The active power of collateral road jk；
For the active power of t moment DC side branch ij；
rdc,ijFor the resistance of direct current ij；
For the active power of the ij of t moment DC side branch；
For the voltage of t moment DC node i；
For the injecting power of t moment DC node j；
For the voltage of t moment DC node j；
The node voltage constraint are as follows:
In formula, Pj,tFor the active power on t moment branch j；
Pj maxTo allow the active power maximum value flowed through on branch j；
TrFor the period set in failover process；
ΩlineFor the set of fingers of alternating current-direct current mixing power distribution network；
The power limit of each branch constrains are as follows:
In formula, Un minThe voltage lower limit value allowed for node i；
Un,tFor the voltage value of t moment node n；
Un maxThe upper voltage limit allowed for node i；
ΩnodeThe upper voltage limit allowed for node i；
Described turn constrains for process continuity are as follows:
In formula,For the 0-1 variable for indicating node power failure；
When for 0, indicate that node n is in power failure in t moment；Indicate that node n is to be resumed when being 1
For power supply state.
Further, the step S3 be consider alternating current-direct current mixing power distribution network in there are energy storage devices, wind-power electricity generation
Alternating current-direct current mixing power distribution network timing is turned to supply using greedy search algorithm in the case where distributed generation resource and photovoltaic distributed generation resource
Model solution；
The step S3 specifically:
S31, parameter initialization, i=1, j=1 are carried out；
S32, the failure set in alternating current-direct current mixing power distribution network occurred in the i-th period；
S33, initialization are to the node data matrix D for having turned to supply in j-th of available power supplyF；
S34, basis have turned the node data matrix D suppliedFUpdate the node data square in j-th of available power supply wait turn to supply
Battle array DW；
S35, judge updated node data matrix DWIn data whether change；
If so, entering step S36；
If it is not, then entering step S37；
S36, basis turn successively to determine node data matrix D for priorityWInterior joint turns for feasibility, and enters step
S38；
S37, judge whether j reaches available power supply sum in alternating current-direct current power distribution network；
If so, entering step S311；
If it is not, the value of j is then enabled to add 1, and return step S33；
S38, judge node data matrix DWIn turn whether can be verified by trend for node；
If so, entering step S39；
If it is not, then return step S36；
The data for the node that S39, update are verified by trend, and node data matrix D is added in the nodeFIn, it goes forward side by side
Enter step S310；
S310, judge node data matrix DFIn whether included all nodes in alternating current-direct current mixing power distribution network；
If so, entering step S37；
If it is not, then return step S34；
S311, by node data matrix DFIn the numerical value of each node export and store, and enter step S312；
S312, judge whether i reaches the period to be assessed sum of setting；
If so, entering step S313；
If it is not, the value of i is then enabled to add 1, and return step S32；
S313, posterior nodal point data matrix D will be updatedFIn each node numerical value as alternating current-direct current mixing distribution network failure after
Load transfer result.
Further, in the step S36, turn the determination method for priority specifically:
A1, the available power supply in alternating current-direct current power distribution network is ranked up according to available capacity；
A2, according to the sequence of available power supply, successively regard each available power supply as root node, load bus as leaf node according to
It is secondary to establish corresponding turn for load search tree；
A3, turned according to foundation for load search tree, the determination of completion load transfer priority.
Further, the node data matrix D wait turn to supplyWIn node data include a timestamp variable ai,
aiIndicate the time of i-node load restoration power supply.
Further, the corresponding energy storage model of energy storage device in alternating current-direct current mixing power distribution network are as follows:
In formula,For energy storage device the t+1 moment state-of-charge；
For energy storage device t moment state-of-charge；
For t moment the energy storage of node n discharge condition；
Δ t is time interval；
For the discharge power of energy storage device t moment；
For the discharging efficiency of node n energy storage；
For the capacity of the energy storage of node n；
For t moment the energy storage of node n charged state；
For the charge power of energy storage device t moment；
For the charge efficiency of node n energy storage；
For the capacity of the energy storage of node n；
The constraint condition of the energy storage model includes charge and discharge constraint, discharge power constrains, charge power constrains and charged
State constraint；
The charge and discharge constraint are as follows:
In formula, T is trouble duration；
ΩsFor Area Node set；
The discharge power constraint are as follows:
In formula,For the minimum discharge power of n node energy storage；
For the maximum discharge power of n node energy storage；
The charge power constraint are as follows:
In formula,For the minimum charge power of n node energy storage；
For the maximum charge power of n node energy storage；
The state-of-charge constraint are as follows:
In formula,For the minimum state-of-charge for representing n node energy storage；
For the maximum state-of-charge for representing n node energy storage；
The corresponding wind power generation output model of wind power generation distributing power supply in the alternating current-direct current mixing power distribution network are as follows:
In formula, PWD,tFor the output power of t moment blower；
R is the rated capacity of blower；
vtFor the wind speed of t moment；
vcTo cut wind speed；
vsFor rated wind speed；
vfFor cut-out wind speed；
The corresponding photovoltage model of photovoltaic distributed generation resource in alternating current-direct current mixing power distribution network are as follows:
In formula, f (PPV) it is photovoltaic power output function；
PPVFor photovoltaic output power；
PmaxFor photovoltaic peak power output；
Γ () is Gamma function；
α is the form parameter of Beta distribution；
β is the form parameter of Beta distribution；
A and b is the form parameter of Beta distribution；
AndWherein, μ, δ are that illumination is strong in certain period of time
The average value and variance of degree.
Further, the step S4 specifically:
After calculating alternating current-direct current mixing distribution network failure according to the calculation formula of alternating current-direct current mixing distribution elasticity of net assessment index
The corresponding elastic assessment index of load transfer result, and determine the weight of each elastic assessment index, obtain weighting elasticity and comment
Estimate index.
Compared with prior art, the present invention having the following advantages and benefits:
1, the present invention covers energy-storage system model, photovoltage model and wind-power electricity generation model and alternating current-direct current distribution by establishing
Net dynamic time sequence, which turns to construct for model, runs regulation-control model with the alternating current-direct current mixing distribution elasticity of net that elasticity is up to target；
2, for the present invention by installing energy storage device in alternating current-direct current power distribution network, effective use energy storage device is urgent standby in offer
It is supported with power supply, stabilizes distributed clean energy resource and go out the characteristics such as fluctuation, enhance distribution elasticity of net.Meanwhile the modern power network that follows up
Development trend, in conjunction with DC distribution network loss consumption is low, power quality is high, power control is easy, transmission line capability is big and environmental pollution is small
Etc. advantages, propose alternating current-direct current distribution elasticity of net run regulation method, make power distribution network topology flexibly, trend it is controllable, improve distribution
The power supply reliability and elasticity of net；
3, alternating current-direct current mixing distribution elasticity of net proposed by the present invention runs regulation method, considers in alternating current-direct current distribution web area
The power producing characteristics of wind-force and photovoltaic distributed power supply utilize mentioned dynamic time sequence to turn for mould in conjunction with the control strategy of energy storage
Type carries out load transfer, and elasticity indexes calculating is carried out after the completion of turning to supply, then using particle swarm algorithm is improved, to weight bullet
The minimum target of sex index is optimized using energy storage day part output power as optimized variable, finally improves alternating current-direct current mixing
The elastic operation degree of power distribution network.
Detailed description of the invention
Fig. 1 is alternating current-direct current mixing power distribution network general structure schematic diagram in background of invention；
Fig. 2 is alternating current-direct current mixing distribution elasticity of net operation regulation method flow diagram in the present invention；
Fig. 3 is to be turned timing for model solution process flow diagram flow chart using greedy search algorithm in the present invention；
Fig. 4 is voltage source converter structural schematic diagram in the present invention；
Fig. 5 is that the alternating current-direct current based on the transformation of IEEE33 node in embodiment provided by the invention mixes distribution network topology；
Fig. 6 is energy storage day part output power curve schematic diagram in embodiment provided by the invention；
Fig. 7 is the control mode curve synoptic diagram of VSC day part in embodiment provided by the invention.
Specific embodiment
A specific embodiment of the invention is described below, in order to facilitate understanding by those skilled in the art this hair
It is bright, it should be apparent that the present invention is not limited to the ranges of specific embodiment, for those skilled in the art,
As long as various change is in the spirit and scope of the present invention that the attached claims limit and determine, these variations are aobvious and easy
See, all are using the innovation and creation of present inventive concept in the column of protection.
As shown in Fig. 2, a kind of alternating current-direct current mixing distribution elasticity of net runs regulation method, comprising the following steps:
S1, alternating current-direct current mixing distribution elasticity of net assessment index is determined；
S2, alternating current-direct current power distribution network timing turn is established for model；
S3, alternating current-direct current mixing power distribution network timing is turned using greedy search algorithm to obtain alternating current-direct current mixing for model solution
Load transfer result after distribution network failure；
S4, load transfer result progress elasticity is commented according to the calculation formula of alternating current-direct current mixing distribution elasticity of net assessment index
Estimate, obtains weighting elastic assessment index；
S5, pass through and improve particle swarm algorithm, to weight elastic assessment index as objective function, to alternating current-direct current mixing power distribution network
In each energy storage period output power optimize, determine the power output mode of alternating current-direct current mixing power distribution network, realize that alternating current-direct current mixing is matched
The elasticity operation regulation of power grid.
Alternating current-direct current mixing distribution elasticity of net assessment index in above-mentioned steps S1 includes average power off time of user index, electricity
Measure loss index, in short-term customer interrupted quantitative indicator and long-time customer interrupted data index；
Wherein, the calculation formula of average power off time index RCML are as follows:
In formula, TfaultFor trouble duration；
ΩcIt is a 0-1 variable for the feed connection node set containing user, the node is represented when the value is 1 and is had a power failure,
The node is represented when being 0 to restore electricity；
αt,nFor node n t moment the situation that restores electricity；
TtFor the length of each time interval, the value is 1 in the method for the present invention；
NnFor the number of users of node n；
The calculation formula of the electric quantity loss index RENS are as follows:
In formula, Lt,nFor node n t moment load power；
The quantitative indicator of the customer interrupted in short-term RSCI are as follows:
In formula, DnodeFor system node set；
CnFor the number of users in node n；
TonFor interruption duration of the node n in current power off time；
TsTo define the threshold value that the time has a power failure when short time has a power failure and is long；
The long time electric supply failure number of users index RLCI are as follows:
Timing in above-mentioned steps S2 turns for model to include objective function and its constraint condition；
The constraint condition include active power Real-time Balancing constraint, reactive power Real-time Balancing constraint, DC power flow about
Beam, node voltage constrain, the power limit of each branch constrains and turn to constrain for process continuity；
Wherein, objective function are as follows:
min F(xsw,xbg)
In formula, F () is objective function；
xswTo switch the open and-shut mode in different periods；
xbgFor each available power supply different periods output power；
The active power Real-time Balancing constraint are as follows:
In formula, Pa,tFor the active power of t moment node a injection；
Ua,tFor the voltage magnitude of t moment node a；
NdFor to the node total number in reconstructed network；
B is node serial number；
Ub,tFor node b t moment voltage magnitude；
GabFor the conductance between node a and node b；
δab,tFor the susceptance between t moment node a and node b；
BabFor the susceptance between node a and node b；
T is the period set in failover process；
The reactive power Real-time Balancing constraint are as follows:
In formula, Qa,tFor the reactive power of t moment node a injection；
Ub,tThe voltage magnitude of t moment node b；
The DC power flow constraint are as follows:
In formula,For the active power of t moment DC side branch jk；
For the active power of t moment DC side branch ij
rdc,ijFor the resistance of direct current ij；
For the active power of the ij of t moment DC side branch；
For the voltage of t moment DC node i；
For the injecting power of t moment DC node j；
For the voltage of t moment DC node j；
The node voltage constraint are as follows:
In formula, Pj,tFor the active power on t moment branch j；
Pj maxTo allow the active power maximum value flowed through on branch j；
TrFor the period set in failover process；
ΩlineFor the set of fingers of alternating current-direct current mixing power distribution network；
The power limit of each branch constrains are as follows:
In formula, Un minThe voltage lower limit value allowed for node i；
Un,tFor the voltage value of t moment node n；
Un maxThe upper voltage limit allowed for node i；
ΩnodeThe upper voltage limit allowed for node i；
Described turn constrains for process continuity are as follows:
In formula,For the 0-1 variable for indicating node power failure；
When for 0, indicate that node n is in power failure in t moment；Indicate that node n is to be resumed when being 1
For power supply state；Wherein, turn to constrain for process continuity be in order to ensure turn can be safe and reliable for process lasting progress.
Turn to consider for process continuity constraint and turn for the relevance between the period, essence is meant that certain load user's
Electric power turns for once then needing to ensure to turn to continue until the fault restoration moment for process, i.e., each user is primary
Only allow to have a power failure in failure accident primary.The traditional network reconstructing method to day part independent optimization turn for path is compared, this
Constraint condition has evaded the multiple power cut problem of the user that may cause in restructuring procedure, it is ensured that turn for mode engineering in practice
Feasibility.
Step S3 be consider alternating current-direct current mixing power distribution network in there are energy storage device, wind power generation distributing power supply and light
Alternating current-direct current mixing power distribution network timing is turned for model solution using greedy search algorithm in the case where lying prostrate distributed generation resource；
Therefore, as shown in figure 3, above-mentioned steps S3 specifically:
S31, parameter initialization, i=1, j=1 are carried out；
S32, the failure set in alternating current-direct current mixing power distribution network occurred in the i-th period；
Wherein, the failure in alternating current-direct current power distribution network include in power distribution network some branch or in which generator failure, therefore
Barrier may include failure at more than one；
S33, initialization are to the node data matrix D for having turned to supply in j-th of available power supplyF；
S34, basis have turned the node data matrix D suppliedFUpdate the node data square in j-th of available power supply wait turn to supply
Battle array DW；
S35, judge updated node data matrix DWIn data whether change；
If so, entering step S36；
If it is not, then entering step S37；
S36, basis turn successively to determine node data matrix D for priorityWInterior joint turns for feasibility, and enters step
S38；
S37, judge whether j reaches available power supply sum in alternating current-direct current power distribution network；
If so, entering step S311；
If it is not, the value of j is then enabled to add 1, and return step S33；
S38, judge node data matrix DWIn turn whether can be verified by trend for node；
If so, entering step S39；
If it is not, then return step S36；
The data for the node that S39, update are verified by trend, and node data matrix D is added in the nodeFIn, it goes forward side by side
Enter step S310；
S310, judge node data matrix DFIn whether included all nodes in alternating current-direct current mixing power distribution network；
If so, entering step S37；
If it is not, then return step S34；
S311, by node data matrix DFIn the numerical value of each node export and store, and enter step S312；
S312, judge whether i reaches the period to be assessed sum of setting；
If so, entering step S313；
If it is not, the value of i is then enabled to add 1, and return step S32；
S313, posterior nodal point data matrix D will be updatedFIn each node numerical value as alternating current-direct current mixing distribution network failure after
Load transfer result.
In above-mentioned steps S36, wherein be the security and stability of interim operating status power distribution network after promoting failure, preferentially
The interconnection for selecting available capacity big carries out load transfer operation, and available capacity can use interconnection each moment during fault restoration
It can be output the average value of maximum power；Each available power supply turn can in search process, encountering multiple load bus
Turned for the case where when, by load bus priority selection turn for path.The priority of load bus can be according to optimization mesh
Mark setting.Therefore, determination method of the greedy search algorithm transfer for priority specifically:
A1, the available power supply in alternating current-direct current power distribution network is ranked up according to available capacity；
A2, according to the sequence of available power supply, successively regard each available power supply as root node, load bus as leaf node according to
It is secondary to establish corresponding turn for load search tree；
A3, turned according to foundation for load search tree, the determination of completion load transfer priority.
In above process, the load transfer of discontinuity surface when traditional load transfer generally only considers single does not account for each
The continuity of discontinuity surface when a, in order to ensure load transfer continuity, to the node data matrix D for turning to supplyWEach load section
Point defines a timestamp variable ai；aiIndicate the time of i-node load restoration power supply.Due to turning to want for time continuity constraint
Each load bus in primary fault accident is asked to be only capable of having a power failure once, so for a certain turn for path, each load bus
AiIt is unique, it is contemplated that before calling available power supply, each load bus is both needed to until that could restore after the completion of fault restoration
Power supply, therefore each duration of load application aiInitial value should be fault restoration and complete period Ta, the initial value of each power supply node is failure
Period of right time Tb.
Wherein, the corresponding energy storage model of energy storage device in alternating current-direct current mixing power distribution network are as follows:
In formula,For energy storage device the t+1 moment state-of-charge；
For energy storage device t moment state-of-charge；
For t moment the energy storage of node n discharge condition；
Δ t is time interval；
For the discharge power of energy storage device t moment；
For the discharging efficiency of node n energy storage；
For the capacity of the energy storage of node n；
For t moment the energy storage of node n charged state；
For the charge power of energy storage device t moment；
For the charge efficiency of node n energy storage；
For the capacity of the energy storage of node n；
The constraint condition of the energy storage model includes charge and discharge constraint, discharge power constrains, charge power constrains and charged
State constraint；
The charge and discharge constraint are as follows:
In formula, T is trouble duration；
ΩsFor Area Node set；
The discharge power constraint are as follows:
In formula,For the minimum discharge power of n node energy storage；
For the maximum discharge power of n node energy storage；
The charge power constraint are as follows:
In formula,For the minimum charge power of n node energy storage；
For the maximum charge power of n node energy storage；
The state-of-charge constraint are as follows:
In formula,For the minimum state-of-charge for representing n node energy storage；
For the maximum state-of-charge for representing n node energy storage；
The corresponding wind power generation output model of wind power generation distributing power supply in the alternating current-direct current mixing power distribution network are as follows:
In formula, PWD,tFor the output power of t moment blower；
R is the rated capacity of blower；
vtFor the wind speed of t moment；
vcTo cut wind speed；
vsFor rated wind speed；
vfFor cut-out wind speed；
The desired output power E (P of the blowerWD,t) are as follows:
In formula, f (vt) be wind speed probability density function, blower is firm power factor Model, and probability in the present invention
Distribution is distributed in Beta；
The corresponding photovoltage model of photovoltaic distributed generation resource in alternating current-direct current mixing power distribution network are as follows:
In formula, f (PPV) it is photovoltaic output power function；
PPVFor photovoltaic output power；
PmaxFor photovoltaic peak power output；
Γ () is Gamma function；
α is the form parameter of Beta distribution；
β is the form parameter of Beta distribution；
A and b is the form parameter of Beta distribution；
AndWherein, μ, δ are that illumination is strong in certain period of time
The average value and variance of degree.
The desired output power of the photovoltaic is E (PPV):
Photovoltaic is firm power factor Model in the present invention, and probability distribution is distributed in Beta.
Above-mentioned steps S4 specifically:
After calculating alternating current-direct current mixing distribution network failure according to the calculation formula of alternating current-direct current mixing distribution elasticity of net assessment index
The corresponding elastic assessment index of load transfer result, and determine the weight of each elastic assessment index, obtain weighting elasticity and comment
Estimate index.
It should be noted that carry out alternating current-direct current mixing power distribution network in load bus turn for when, need to alternating current-direct current mixing
Inverter (VSC) structure in power distribution network select and is determined that (Fig. 4 gives the voltage-source type change of current to its operating mode
Device structural schematic diagram), correlation formula are as follows:
Wherein, formula (1) is that the power of AC network is injected by inverter, and formula (2) is the power of inverter side, formula (3)-
(6) indicate that the voltage and current relationship in inverter, formula (7) indicate that the power loss in inverter, formula (8) indicate inverter note
Enter the active power of DC network.
In formula, PsThe active power of AC network is injected for inverter；
J is the imaginary part of plural number；
QsThe reactive power of AC network is injected for inverter；
VsTo exchange node voltage with what inverter was connected；
The conjugation of the electric current of AC network is flowed to for inverter；
PcFor inverter side active power；
QcFor inverter side reactive power；
VcFor the converter station voltage being connected with DC side；
For the conjugation of inverter side electric current；
VcFor the converter station voltage being connected with DC side；
VfFor voltage in inverter；
ZcFor converter reactor impedance；
IcFor inverter side electric current；
VfFor voltage in inverter；
VsTo exchange node voltage with what inverter was connected；
ZtFor converter power transformer impedance；
IsThe electric current of AC network is flowed to for inverter；
BfFor conductance over the ground in inverter；
VfFor voltage in inverter；
IfFor in inverter to earth-current；
PlossFor the power loss of converter station；
β is proportionality coefficient, and different inverter proportionality coefficients are slightly different；
PcFor inverter side active power；
PdcThe active power of DC network is injected for converter station；
VSC in DC distribution net can be controlled separately the active power and reactive power of injection AC network, for having
Function power P s, there is the following two kinds control mode: (1) determining active power, the active power that inverter injects AC network is constant
Value.(2) determine DC voltage, inverter keeps the connected DC node of inverter by adjusting the active power of injection AC network
Voltage it is constant；For reactive power Q s, there is the following two kinds control mode: (1) determining reactive power, inverter injects AC network
Reactive power be steady state value.(2) determine alternating voltage, inverter keeps the change of current by adjusting the reactive power of injection AC network
The voltage magnitude that device even exchanges node is constant.Therefore, when connecting with active electric network, VSC has following four kinds of control models: (1)
Determine DC voltage Ud, exchange reactive power Q s control；(2) determine DC voltage Ud, ac bus voltage Us control；(3) fixed exchange
Active-power P s, exchange reactive power Q s control；(4) active-power P s is exchanged surely, exchange is controlled without voltage limit Us.
In one embodiment of the invention, it provides to run alternating current-direct current mixing power distribution network using the method for the present invention and carry out
The process of regulation:
The topological structure for 38 node alternating current-direct current mixing power distribution networks being transformed based on IEEE33 node was as shown in figure 5, should
Alternating current-direct current mixing power distribution network capacity containing there are three is that the energy storage device of 3MWh is located at node 22, node 30 and node 33,
The peak power output of energy storage is 500KW/h, node voltage it is upper it is offline be respectively 0.96p.u and 1.05pu, in the embodiment
Time interval is set as 1 hour.In order to preferably embody the ability that power distribution network resists extreme failure, in this embodiment it is assumed that
Failure occurs to export with 10KV feeder line, and time of failure section is 12:00-20:00, this period is negative lotus peak period, and load
Peak-valley difference is big.The AC distribution elasticity of net operation index being finally calculated is as shown in table 1:
Table 1: AC distribution elasticity of net runs index
The control strategy of energy storage day part is as shown in fig. 6, the control strategy of VSC day part is as shown in Figure 7.
In order to embody energy storage for the resilient support effect of alternating current-direct current power distribution network, herein, it is provided with following three kinds of fields
Scape carries out elasticity indexes calculating to it:
Scene 1. is free of the alternating current-direct current distribution system of energy storage；
2. energy storage initial quantity of electricity of scene only has the half of rated capacity, that is, 1.5WMh；
3. energy storage initial quantity of electricity of scene is rated capacity, that is, 3WMh；
Shown in alternating current-direct current mixing distribution elasticity of net operation index calculation result table 2 under three kinds of scenes:
Table 2: elasticity indexes calculated result under different scenes
It can be seen that the increase with stored energy capacitance, alternating current-direct current power distribution network jerk-finger by the analysis of three kinds of scenes as above
Numerical value is obviously improved, and also indicates that power distribution network extent of elasticity is gradually increased.Simultaneously it is also seen that when system available electricity
When the deficiency of source, power supply supporting role of the energy storage for system can be effectively reduced loss of outage and improve distribution elasticity of net.
Compared with prior art, the present invention having the following advantages and benefits:
1, the present invention covers energy-storage system model, photovoltage model and wind-power electricity generation model and alternating current-direct current distribution by establishing
Net dynamic time sequence, which turns to construct for model, runs regulation-control model with the alternating current-direct current mixing distribution elasticity of net that elasticity is up to target；
2, for the present invention by installing energy storage device in alternating current-direct current power distribution network, effective use energy storage device is urgent standby in offer
It is supported with power supply, stabilizes distributed clean energy resource and go out the characteristics such as fluctuation, enhance distribution elasticity of net.Meanwhile the modern power network that follows up
Development trend, in conjunction with DC distribution network loss consumption is low, power quality is high, power control is easy, transmission line capability is big and environmental pollution is small
Etc. advantages, propose alternating current-direct current distribution elasticity of net run regulation method, make power distribution network topology flexibly, trend it is controllable, improve distribution
The power supply reliability and elasticity of net；
3, alternating current-direct current mixing distribution elasticity of net proposed by the present invention runs regulation method, considers in alternating current-direct current distribution web area
The power producing characteristics of wind-force and photovoltaic distributed power supply utilize mentioned dynamic time sequence to turn for mould in conjunction with the control mode of energy storage
Type carries out load transfer, and elasticity indexes calculating is carried out after the completion of turning to supply, then using particle swarm algorithm is improved, to weight bullet
The minimum target of sex index is optimized using energy storage day part output power as optimized variable, finally improves alternating current-direct current mixing
The elastic operation degree of power distribution network.
Claims (8)
1. a kind of alternating current-direct current mixing distribution elasticity of net runs regulation method, which comprises the following steps:
S1, alternating current-direct current mixing distribution elasticity of net assessment index is determined；
S2, alternating current-direct current power distribution network timing turn is established for model；
S3, alternating current-direct current mixing power distribution network timing is turned using greedy search algorithm to obtain alternating current-direct current mixing distribution for model solution
Load transfer result after net failure；
S4, elastic assessment is carried out to load transfer result according to the calculation formula of alternating current-direct current mixing distribution elasticity of net assessment index,
It obtains weighting elastic assessment index；
S5, pass through and improve particle swarm algorithm, to weight elastic assessment index as objective function, to each in alternating current-direct current mixing power distribution network
Energy storage period output power optimizes, and determines the power output mode of alternating current-direct current mixing power distribution network, realizes alternating current-direct current mixing power distribution network
Elasticity operation regulation.
2. alternating current-direct current mixing distribution elasticity of net according to claim 1 runs regulation method, which is characterized in that the step
Alternating current-direct current mixing distribution elasticity of net assessment index in S1 includes average power off time of user index, electric quantity loss index, in short-term
Customer interrupted quantitative indicator and long time electric supply failure user data index；
Wherein, the calculation formula of average power off time index RCML are as follows:
In formula, TfaultFor trouble duration；
ΩcFor the feed connection node set containing user；
αt,nFor node n t moment the situation that restores electricity；
TtFor the length of each time interval；
NnFor the number of users of node n；
The calculation formula of the electric quantity loss index RENS are as follows:
In formula, Lt,nFor node n t moment load power；
The quantitative indicator of the customer interrupted in short-term RSCI are as follows:
In formula, DnodeFor system node set；
CnFor the number of users in node n；
TonFor interruption duration of the node n in current power off time；
TsTo define the threshold value that the time has a power failure when short time has a power failure and is long；
The long time electric supply failure number of users index RLCI are as follows:
3. alternating current-direct current mixing distribution elasticity of net according to claim 1 runs regulation method, which is characterized in that the step
Timing in S2 turns for model to include objective function and its constraint condition；
The constraint condition includes the constraint of active power Real-time Balancing, the constraint of reactive power Real-time Balancing, DC power flow constraint, section
Point voltage constrains, the power limit of each branch constrains and turns to constrain for process continuity；
Wherein, objective function are as follows:
min F(xsw,xbg)
In formula, F () is objective function；
xswTo switch the open and-shut mode in different periods；
xbgFor each available power supply different periods output power；
The active power Real-time Balancing constraint are as follows:
In formula, Pa,tFor the active power of t moment node a injection；
Ua,tFor the voltage magnitude of t moment node a；
NdFor to the node total number in reconstructed network；
B is node serial number；
Ub,tFor node b t moment voltage magnitude；
GabFor the conductance between node a and node b；
δab,tFor the susceptance between t moment node a and node b；
BabFor the susceptance between node a and node b；
T is the period set in failover process；
The reactive power Real-time Balancing constraint are as follows:
In formula, Qa,tFor the reactive power of t moment node a injection；
Ub,tThe voltage magnitude of t moment node b；
The DC power flow constraint are as follows:
In formula,For t moment direct current
The active power of collateral road jk；
For the active power of t moment DC side branch ij；
rdc,ijFor the resistance of direct current ij；
For the active power of the ij of t moment DC side branch；
For the voltage of t moment DC node i；
For the injecting power of t moment DC node j；
For the voltage of t moment DC node j；
The node voltage constraint are as follows:
In formula, Pj,tFor the active power on t moment branch j；
Pj maxTo allow the active power maximum value flowed through on branch j；
TrFor the period set in failover process；
ΩlineFor the set of fingers of alternating current-direct current mixing power distribution network；
The power limit of each branch constrains are as follows:
In formula, Un minThe voltage lower limit value allowed for node i；
Un,tFor the voltage value of t moment node n；
Un maxThe upper voltage limit allowed for node i；
ΩnodeThe upper voltage limit allowed for node i；
Described turn constrains for process continuity are as follows:
In formula,For the 0-1 variable for indicating node power failure；
When for 0, indicate that node n is in power failure in t moment；Indicate that node n is to be recovered as supplying when being 1
Electricity condition.
4. alternating current-direct current mixing distribution elasticity of net according to claim 3 runs regulation method, which is characterized in that the step
S3 be consider alternating current-direct current mixing power distribution network in there are energy storage device, wind power generation distributing power supply and photovoltaic distributed generation resources
In the case where using greedy search algorithm to alternating current-direct current mixing power distribution network timing turn for model solution；
The step S3 specifically:
S31, parameter initialization, i=1, j=1 are carried out；
S32, the failure set in alternating current-direct current mixing power distribution network occurred in the i-th period；
S33, initialization are to the node data matrix D for having turned to supply in j-th of available power supplyF；
S34, basis have turned the node data matrix D suppliedFUpdate the node data matrix D in j-th of available power supply wait turn to supplyW；
S35, judge updated node data matrix DWIn data whether change；
If so, entering step S36；
If it is not, then entering step S37；
S36, basis turn successively to determine node data matrix D for priorityWInterior joint turns for feasibility, and enters step S38；
S37, judge whether j reaches available power supply sum in alternating current-direct current power distribution network；
If so, entering step S311；
If it is not, the value of j is then enabled to add 1, and return step S33；
S38, judge node data matrix DWIn turn whether can be verified by trend for node；
If so, entering step S39；
If it is not, then return step S36；
The data for the node that S39, update are verified by trend, and node data matrix D is added in the nodeFIn, and enter step
S310；
S310, judge node data matrix DFIn whether included all nodes in alternating current-direct current mixing power distribution network；
If so, entering step S37；
If it is not, then return step S34；
S311, by node data matrix DFIn the numerical value of each node export and store, and enter step S312；
S312, judge whether i reaches the period to be assessed sum of setting；
If so, entering step S313；
If it is not, the value of i is then enabled to add 1, and return step S32；
S313, posterior nodal point data matrix D will be updatedFIn each node numerical value as the load after alternating current-direct current mixing distribution network failure
Turn for result.
5. alternating current-direct current mixing distribution elasticity of net according to claim 4 runs regulation method, which is characterized in that the step
In S36, turn the determination method for priority specifically:
A1, the available power supply in alternating current-direct current power distribution network is ranked up according to available capacity；
A2, according to the sequence of available power supply, successively regard each available power supply as root node, load bus is successively built as leaf node
Corresponding turn is stood for load search tree；
A3, turned according to foundation for load search tree, the determination of completion load transfer priority.
6. alternating current-direct current mixing distribution elasticity of net according to claim 4 runs regulation method, which is characterized in that described wait turn
The node data matrix D of confessionWIn node data include a timestamp variable ai, aiIndicate the power supply of i-node load restoration
Time.
7. alternating current-direct current mixing distribution elasticity of net according to claim 4 runs regulation method, which is characterized in that alternating current-direct current is mixed
Close the corresponding energy storage model of energy storage device in power distribution network are as follows:
In formula,For energy storage device the t+1 moment state-of-charge；
For energy storage device t moment state-of-charge；
For t moment the energy storage of node n discharge condition；
Δ t is time interval；
For the discharge power of energy storage device t moment；
For the discharging efficiency of node n energy storage；
For the capacity of the energy storage of node n；
For t moment the energy storage of node n charged state；
For the charge power of energy storage device t moment；
For the charge efficiency of node n energy storage；
For the capacity of the energy storage of node n；
The constraint condition of the energy storage model includes charge and discharge constraint, discharge power constraint, charge power constraint and state-of-charge
Constraint；
The charge and discharge constraint are as follows:
In formula, T is trouble duration；
ΩsFor Area Node set；
The discharge power constraint are as follows:
In formula,For the minimum discharge power of n node energy storage；
For the maximum discharge power of n node energy storage；
The charge power constraint are as follows:
In formula,For the minimum charge power of n node energy storage；
For the maximum charge power of n node energy storage；
The state-of-charge constraint are as follows:
In formula,For the minimum state-of-charge for representing n node energy storage；
For the maximum state-of-charge for representing n node energy storage；
The corresponding wind power generation output model of wind power generation distributing power supply in the alternating current-direct current mixing power distribution network are as follows:
In formula, PWD,tFor the output power of t moment blower；
R is the rated capacity of blower；
vtFor the wind speed of t moment；
vcTo cut wind speed；
vsFor rated wind speed；
vfFor cut-out wind speed；
The corresponding photovoltage model of photovoltaic distributed generation resource in alternating current-direct current mixing power distribution network are as follows:
In formula, f (PPV) it is photovoltaic power output function；
PPVFor photovoltaic output power；
PmaxFor photovoltaic peak power output；
Γ () is Gamma function；
α is the form parameter of Beta distribution；
β is the form parameter of Beta distribution；
A and b is the form parameter of Beta distribution；
AndWherein, μ, δ are intensity of illumination in certain period of time
Average value and variance.
8. alternating current-direct current mixing distribution elasticity of net according to claim 4 runs regulation method, which is characterized in that the step
S4 specifically:
It is negative after calculating alternating current-direct current mixing distribution network failure according to the calculation formula of alternating current-direct current mixing distribution elasticity of net assessment index
Lotus turn determines the weight of each elastic assessment index for the corresponding elastic assessment index of result, obtains weighting elasticity and assessing referring to
Number.
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