CN109245113A - The electric distribution network reactive-voltage optimization method that distributed generation resource and electric car access on a large scale - Google Patents
The electric distribution network reactive-voltage optimization method that distributed generation resource and electric car access on a large scale Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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Abstract
The invention discloses the electric distribution network reactive-voltage optimization methods that distributed generation resource and electric car access on a large scale, include the following steps: S1: foundation meets the sum of line loss minimum, node voltage total drift amount minimum, V2G and participates in the maximum object and multi object mathematical model of reactive Voltage Optimum utilization rate；S2: peak load shifting processing is carried out to load voltage using charge and discharge plan；S3: the power distribution network partition model based on Electric Distance Method is established；S4: reactive voltage is optimized by the way of in two steps；S5: the reactive voltage that mutually matched mode accesses power distribution network to distributed generation resource and electric car on a large scale in terms of centralized control and decentralised control two optimizes control.
Description
Technical field
The present invention relates to GA for reactive power optimization technology fields more particularly to distributed generation resource and electric car to connect on a large scale
The electric distribution network reactive-voltage optimization method entered.
Background technique
The raising of Distributed Generation in Distribution System permeability will inevitably impact voltage, the trend in distribution
Direction will be two-way by being unidirectionally changed to, electric network composition and the method for operation will because of DG it is grid-connected essential changes have taken place, traditional is some
Reactive Voltage Optimum strategy is limited or is unable to satisfy at all current needs, and DG is mainly with renewable energy, i.e. wind
Based on electricity, photovoltaic, wind-powered electricity generation, the intermittence of photovoltaic power output and uncertainty can make voltage fluctuation larger, bring to voltage control new
Challenge, in the problem of Demand Side Response plays critically important effect in power-balance, is included in voltage and reactive power optimization,
The unreasonable situation being distributed as DG trend caused by uncertain can be effectively improved.Many current research begin to focus on load with
Track power generation mode participates in power grid interaction by load side resource active response, provides bigger volume space for DG is grid-connected.It is electronic
Automobile is the important load in Demand Side Response scope, distributed energy storage unit is used as, if car networking technology can be combined
The charge and discharge plan of (vehicle-to-grid, V2G) reasonable arrangement, can realize and reach " peak load shifting " with power grid two-way interaction
Effect.
Electric car is that have electric power to replace traditional petroleum to drive automobile, can alleviate becoming for energy shortage
Gesture, and the discharge of greenhouse gases is reduced, just rapidly developed.And extensive electric car charge and discharge will certainly be to power distribution network
Structure, operation generate tremendous influence.Therefore, understand and prepare to predict that intelligence is matched in influence of the electric car charge and discharge to power grid
The construction of power grid has great importance.Some scholars have carried out some electric cars to grinding in terms of electric network influencing at present
Study carefully, mainly include the following contents: (1) assessing whether existing power generation capacity is able to satisfy growing electric automobile load demand；
(2) electric car access network research, research electric car to power grid provide ancillary service value, including frequency modulation, rotation it is standby
With etc.；(3) influence of the increasingly increased electric car to intermediate and low electric network is studied.
The extensive access and implementation of the load management in power distribution network of distributed generation resource will generate the operation of power distribution network
Tremendous influence.Traditional power distribution network is that one kind is unidirectional, passively receives the receiving end network of upper layer power grid instruction, itself does not include
Power supply, but then become active electric network after distributed generation resource access, after further considering load management, power distribution network will
Become more complicated, power distribution network at this time either in operational mode, way to manage or control mode all with conventional electrical distribution
It nets completely different.Country is building sturdy power grid at present, accelerates town and country power distribution network intelligent construction and transformation, greatly promotes and matches
Electric automation technology, distribution level have obtained largely improving, but due to the sharp increase of workload demand, distributed generation resource
Extensive access, load management weakness, cause the voltage value of power distribution network to be in non-normal range, how to solve distribution
The idle work optimization that power supply and electric car access power distribution network on a large scale is current research direction.
Find that large-scale distributed power supply can make the voltage of power distribution network with electric car access power distribution network after study
Matched by electric car carry out intelligent recharge and discharge two-way to power distribution network in large-scale distributed plant-grid connection at certain influence
On the basis of power grid cooperate flexible apparatus reach power distribution network voltage operate in as defined within the scope of.
Summary of the invention
According to problem of the existing technology, the invention discloses what distributed generation resource and electric car accessed on a large scale to match
Electric network reactive-load voltage optimization method, specific embodiment is: the following steps are included:
S1: it is maximum that minimum the sum of line loss minimum, node voltage total drift amount, V2G and reactive Voltage Optimum utilization rate are established
Object and multi object mathematical model.
S2: using the charge and discharge plan of intelligent recharge and discharge method reasonable arrangement, car owner and power grid arrange charge and discharge plan it
Between introduce rewards and punishments mechanism, realize reactive Voltage Optimum while achieve the effect that greening environment.
S3: establishing the power distribution network partition model based on Electric Distance Method, in order to which guarantee can between the region after subregion
It connecting each other, solving to exist after subregion by there is coupling the relationship of branch variable between adjacent area.
S4: abstract processing is carried out later in view of the intermittence of distributed generation resource power output, in the base of subregion to above-mentioned steps
Reactive voltage is carried out on plinth by the way of in two steps to optimize.
S5: it cooperates in terms of centralized control and decentralised control two and realizes that distributed generation resource and electric car connect on a large scale
The reactive voltage for entering power distribution network optimizes control.
The multiple objective function mathematical model is as follows:
S11 establishes the smallest objective function of the sum of line loss
In formula: GijFor the conductance of the ij of branch, Vi、VjFor node i, the voltage of j, δijVoltage phase between node i, j
Angular difference.
S12 is established with the smallest objective function of node voltage total drift amount:
In formula: VNFor node voltage rating, ViFor the virtual voltage of node, n is must number of nodes.
S13 establishes the peak use rate objective function of V2G and reactive Voltage Optimum:
L3=min (1- ε)
In formula: ε is utilization rate of the V2G to reactive Voltage Optimum,For the maximum charge-discharge electric power of node i, M is usable
Electric vehicle quantity, PiFor the charge-discharge electric power of node i, N is the node total number containing electric car.
Single objective function is converted by three single objective functions of above formula:
F=λ1L1+λ2L2+λ3L3
In formula: λ1、λ2、λ3For the corresponding weight coefficient of respective objective function, and λ1+λ2+λ3=1.
Constraint condition is as follows:
|VN-Vi|≤0.05
QDGmin,t≤QDG,t≤QDGmax,t
0≤Qc≤Qc,max
Qi,SVG.min≤Qi,SVG≤Qi,SVG.max
0≤nc≤nc,max
Pi=PDG,i-Plode,i±Pcharge,i
Qi=QDG,i-Qlode,i+QSVG,i+Qc,i±Qcharge,i
In formula: QcIndicate the capacitance of capacitor switching, QDGIndicate the idle power output of DG, Pi、Qi, be respectively that node i is total
Active power, reactive power, Gij、BijConductance and susceptance respectively between node i and j, δijVoltage between node i, j
Phase angle difference, QDGmin,t、QDGmax,tThe minimum value and maximum value for power output that respectively DG is idle.Qc,maxHold for the maximum switching of capacitor
Amount, nc,maxFor the maximum switching frequency of capacitor, Qi,SVG.min、Qi,SVG.maxFor Static Var Compensator minimum compensation capacity and
Maximum reactive compensation capacity, PDG,i、QDG,iFor the active power output and idle power output of distributed generation resource, Plode,i、Qlode,iDisappear for load
Active and idle, the P of consumptioncharge,i、Qcharge,iFor electric car it is active with it is idle, symbol in front is when as electric discharge
"+" is "-" as symbol in front when charging.
S2 accesses power grid in view of large-scale electric car, if without reasonable arrangement, random access electricity
Net can have a huge impact load, grid loss, voltage.In order to avoid these influences, using intelligent recharge and discharge method pair
The charge and discharge behavior of electric car is effectively controlled.
Steps are as follows for the realization of intelligent recharge and discharge method:
Step 1: car owner is by the driving arrangement of next day and whether participates in charge status and is sent to service provider, service provider
Control centre is submitted to after summary information.
Step 2: after control centre receives the information of service provider's submission, predicting the following intraday load,
The low-valley interval of prediction and peak period load are given and showed, and different time sections pay discharging compensation electricity price, charging
The concrete condition of electricity price is assigned to service provider.
Step 3: service provider sends situation after the information such as load prediction, the charge and discharge electricity price for receiving control centre
To car owner, the information that car owner issues according to service provider dispatches the charge and discharge plan of ordered arrangement oneself to the charge and discharge of next day, real
Existing optimal charge and discharge.
Step 4: in order to make the plan between car owner and power grid reach exploitativeness, power grid should formulate rewards and punishments mechanism, for
The car owner that oneself plan can be fulfiled gives the reward of electricity, including to the charging of oneself electric vehicle and household two selections, on the contrary
For the car owner of oneself plan can not be fulfiled after being more than defined number, charge and discharge can be participated in by giving a period of time
Electric behavior.With this come the behavior for the people that standardize, it can also promote more people to buy electric vehicle to participate in charge and discharge plan, reach
To optimization network voltage while can also greening environment.
By connecting final pair for realizing electric car and power grid each other between car owner, service provider, control centre three
To interaction, have the function that " peak load shifting ", while also having haved the function that reduce electric energy loss and having improved quality of voltage.
S3 establishes the power distribution network partition method of optimum segmentation, it is first determined objective function.
With the minimum objective function of the sum of each subregion electrical distance value difference value:
Wherein RiIt is electrical distance value, n is subregion number.
For distribution network system, is indicated the distribution network system for having N number of node being divided into n region with M=(N, n),
It is divided into n area and needs to carry out n-1 segmentation, for there is the system of N number of node to haveSquare partition
Method.
In order to make to connect the authenticity for guaranteeing result between n region each other, realization can be coupled by branch,
The node in region 1 is { 1,2,3,4,5,6 }, and the node in region 2 is { 5,6,7,8,9,10,11 }, it can be seen that two
It is coupled between region by branch L56, the state variable of coupling branch Lij has transimission power Pij、Qij, node voltage Ui、Uj.Certain
The state variable of coupling branch in one region a can be expressed as f (a, ij)={ Pij,Qij Ui,Uj, adjacent area after subregion
Between state variable should be equal.
The intermittence that S4 is contributed due to distributed generation resource considers solution mode in the limiting case.
Above-mentioned steps can be abstracted as following formula
Wherein: x is the power output of new energy, and y is continuously to go out force parameter (capacitor switching, electric car), and z is can
The parameter (Static Var Compensator etc.) of continuous capacity.A, b are two adjacent regions, and ij is coupling branch.
In order to meet the randomness of distributed generation resource power output and in the case where Power generation limits.So that objective function is optimal
Objective function is solved in two steps, when new energy is contributed and changed, capacitor, electric car belongs to the first step of adjusting, and
Coarse adjustment meets the variation of new energy power output by adjusting Static Var Compensator, belongs to second after the completion of the first step is adjusted
Step section and thin tuning.
The access of the large-scale distributed power supply of S5 and electric car is so that grid nodes voltage and operating structure face seriously
Challenge guarantee operation of power networks in safe and reliable state to adapt to the access of high permeability DG and electric vehicle, propose by point
Reach in terms of dissipating control and centralized control two to reactive voltage coordinated control.
On the basis of dividing region, voltage power-less is optimized by two stages inside subregion, the first stage exists
When energy processing variation, response speed and economy based on equipment consider, the switched capacitor in power distribution network is not with new energy
It contributes and changes, belong to the first stage in subregion two-stage control.After the switching amount of capacitor has been determined, herein
On the basis of flexible modulation Static Var Compensator amount, in the feelings for being in same common node for DG and Static Var Compensator
Under condition, the two cooperation achievees the effect that optimize voltage, this belongs to the two stage second stage of subregion, the two stages are intended to
The preferable voltage regulation result for completing subregion, does not consider global voltage regulation result.
Centralized control is that network parameter and trend distribution of power grid etc. are acquired by equipment such as data acquisition analysis systems
Data, the size for adjusting on-load regulator transformer on this basis cooperate both Demand Side Responses (electric car) mutually association simultaneously
It adjusts and reaches the global pressure regulation result of optimization.
By adopting the above-described technical solution, matching of accessing on a large scale of distributed generation resource provided by the invention and electric car
Electric network reactive-load voltage optimization method, this method can keep voltage to exist the access of large-scale distributed power supply and electric car
Operation in normal range (NR).
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The some embodiments recorded in application, for those of ordinary skill in the art, without creative efforts,
It is also possible to obtain other drawings based on these drawings.
Fig. 1 is subregion schematic diagram of the present invention
Fig. 2 is reactive voltage coordinated control structure chart of the present invention
Fig. 3 is PG&E69 Node power distribution system figure of the present invention
Fig. 4 (a) is photovoltaic day power graph of the present invention
Fig. 4 (b) is wind-powered electricity generation day power graph of the present invention
Fig. 5 is load curve variation diagram of the present invention
Fig. 6 is present invention optimization front and back system voltage distribution map
Specific embodiment
To keep technical solution of the present invention and advantage clearer, with reference to the attached drawing in the embodiment of the present invention, to this
Technical solution in inventive embodiments carries out clear and complete description:
The electric distribution network reactive-voltage optimization method that a kind of distributed generation resource and electric car access on a large scale, including walk as follows
It is rapid:
S1: it is maximum that minimum the sum of line loss minimum, node voltage total drift amount, V2G and reactive Voltage Optimum utilization rate are established
Object and multi object mathematical model.
S11 establishes the smallest objective function of the sum of line loss
In formula: GijFor the conductance of the ij of branch, Vi、VjFor node i, the voltage of j, δijVoltage phase between node i, j
Angular difference.
S12 is established with the smallest objective function of node voltage total drift amount:
In formula: VNFor node voltage rating, ViFor the virtual voltage of node, n is must number of nodes.
S13 establishes the peak use rate objective function of V2G and reactive Voltage Optimum:
L3=min (1- ε)
In formula: ε is utilization rate of the V2G to reactive Voltage Optimum,For the maximum charge-discharge electric power of node i, M is usable
Electric vehicle quantity, PiFor the charge-discharge electric power of node i, N is the node total number containing electric car.
Single objective function is converted by three single objective functions of above formula:
F=λ1L1+λ2L2+λ3L3
In formula: λ1、λ2、λ3For the corresponding weight coefficient of respective objective function, and λ1+λ2+λ3=1.
Constraint condition is as follows:
|VN-Vi|≤0.05
QDGmin,t≤QDG,t≤QDGmax,t
0≤Qc≤Qc,max
Qi,SVG.min≤Qi,SVG≤Qi,SVG.max
0≤nc≤nc,max
Pi=PDG,i-Plode,i±Pcharge,i
Qi=QDG,i-Qlode,i+QSVG,i+Qc,i±Qcharge,i
In formula: QcIndicate the capacitance of capacitor switching, QDGIndicate the idle power output of DG, Pi、Qi, be respectively that node i is total
Active power, reactive power, Gij、BijConductance and susceptance respectively between node i and j, δijVoltage between node i, j
Phase angle difference, QDGmin,t、QDGmax,tThe minimum value and maximum value for power output that respectively DG is idle.Qc,maxHold for the maximum switching of capacitor
Amount, nc,maxFor the maximum switching frequency of capacitor, Qi,SVG.min、Qi,SVG.maxFor Static Var Compensator minimum compensation capacity and
Maximum reactive compensation capacity, PDG,i、QDG,iFor the active power output and idle power output of distributed generation resource, Plode,i、Qlode,iDisappear for load
Active and idle, the P of consumptioncharge,i、Qcharge,iFor electric car it is active with it is idle, symbol in front is when as electric discharge
"+" is "-" as symbol in front when charging.
S2: using the charge and discharge plan of intelligent recharge and discharge method reasonable arrangement, car owner and power grid arrange charge and discharge plan it
Between introduce rewards and punishments mechanism, realize reactive Voltage Optimum while achieve the effect that greening environment.
In view of large-scale electric car accesses power grid, if without reasonable arrangement, random access power grid
Load, grid loss, voltage can be had a huge impact.In order to avoid these influences, using intelligent recharge and discharge method to electricity
The charge and discharge behavior of electrical automobile is effectively controlled.Steps are as follows for the realization of intelligent recharge and discharge method:
Step 1: car owner is by the driving arrangement of next day and whether participates in charge status and is sent to service provider, service provider
Control centre is submitted to after summary information.
Step 2: after control centre receives the information of service provider's submission, predicting the following intraday load,
The low-valley interval of prediction and peak period load are given and showed, and different time sections pay discharging compensation electricity price, charging
The concrete condition of electricity price is assigned to service provider.
Step 3: service provider sends situation after the information such as load prediction, the charge and discharge electricity price for receiving control centre
To car owner, the information that car owner issues according to service provider dispatches the charge and discharge plan of ordered arrangement oneself to the charge and discharge of next day, real
Existing optimal charge and discharge.
Step 4: in order to make the plan between car owner and power grid reach exploitativeness, power grid should formulate rewards and punishments mechanism, for
The car owner that oneself plan can be fulfiled gives the reward of electricity, including to the charging of oneself electric vehicle and household two selections, on the contrary
For the car owner of oneself plan can not be fulfiled after being more than defined number, charge and discharge can be participated in by giving a period of time
Electric behavior.With this come the behavior for the people that standardize, it can also promote more people to buy electric vehicle to participate in charge and discharge plan, reach
To optimization network voltage while can also greening environment.
By connecting final pair for realizing electric car and power grid each other between car owner, service provider, control centre three
To interaction, have the function that " peak load shifting ", while also having haved the function that reduce electric energy loss and having improved quality of voltage.
S3: establishing the power distribution network partition model based on Electric Distance Method, in order to which guarantee can between the region after subregion
It connecting each other, solving to exist after subregion by there is coupling the relationship of branch variable between adjacent area
Establish the power distribution network partition method of optimum segmentation, it is first determined objective function.
With the minimum objective function of the sum of each subregion electrical distance value difference value:
Wherein RiIt is electrical distance value, n is subregion number.
For distribution network system, is indicated the distribution network system for having N number of node being divided into n region with M=(N, n),
It is divided into n area and needs to carry out n-1 segmentation, for there is the system of N number of node to haveSquare partition
Method.
Subregion schematic diagram as shown in Figure 1 can be in order to make to connect each other the authenticity for guaranteeing result between n region
It is coupled and is realized by branch,
The node in region 1 is { 1,2,3,4,5,6 } in figure, and the node in region 2 is { 5,6,7,8,9,10,11 }, can be with
Find out between two regions through branch L56Coupling couples branch LijState variable have transimission power Pij、Qij, node voltage Ui、
Uj.The state variable of coupling branch in a certain region a can be expressed as f (a, ij)={ Pij,QijUi,Uj, it is adjacent after subregion
Interregional state variable should be equal.
S4: abstract processing is carried out later in view of the intermittence of distributed generation resource power output, in the base of subregion to above-mentioned steps
Reactive voltage is carried out on plinth by the way of in two steps to optimize.
Due to the intermittence of distributed generation resource power output, solution mode in the limiting case is considered.
Above-mentioned steps can be abstracted as following formula
Wherein: x is the power output of new energy, and y is continuously to go out force parameter (capacitor switching, electric car), and z is can
The parameter (Static Var Compensator etc.) of continuous capacity.A, b are two adjacent regions, and ij is coupling branch.
In order to meet the randomness of distributed generation resource power output and in the case where Power generation limits.So that objective function is optimal
Objective function is solved in two steps, when new energy is contributed and changed, capacitor, electric car belongs to the first step of adjusting, and
Coarse adjustment meets the variation of new energy power output by adjusting Static Var Compensator, belongs to second after the completion of the first step is adjusted
Step section and thin tuning.
S5: it cooperates in terms of centralized control and decentralised control two and realizes that distributed generation resource and electric car connect on a large scale
The reactive voltage for entering power distribution network optimizes control.
The access of large-scale distributed power supply and electric car so that grid nodes voltage and operating structure face it is serious
Challenge guarantees that operation of power networks in safe and reliable state, is proposed by dispersing to adapt to the access of high permeability DG and electric vehicle
Reach in terms of control and centralized control two to reactive voltage coordinated control,
Such as Fig. 2: on the basis of dividing region, being optimized by two stages to voltage power-less inside subregion, first
Stage, response speed and economy based on equipment considered in energy processing variation, the switched capacitor in power distribution network not with
New energy contributes and changes, and belongs to the first stage in subregion two-stage control.The switching amount that capacitor has been determined it
Afterwards, the amount of flexible modulation Static Var Compensator on this basis is being in same public for DG and Static Var Compensator
In the case where node, the two cooperation achievees the effect that optimize voltage, this belongs to the two stage second stage of subregion, the two
Stage is intended to preferably complete the voltage regulation result of subregion, does not consider global voltage regulation result.
Centralized control is that network parameter and trend distribution of power grid etc. are acquired by equipment such as data acquisition analysis systems
Data, the size for adjusting on-load regulator transformer on this basis cooperate both Demand Side Responses (electric car) mutually association simultaneously
It adjusts and reaches the global pressure regulation result of optimization.
Sample calculation analysis
It is as shown in Figure 3: herein using 69 Node power distribution systems of U.S. PG&E as calculated examples.
It is as shown in Figure 4: the DG type accessed in example be photovoltaic power supply system (PV) and wind generator system (WTG), with
As the optimization time, consider that extensive distribution system coverage area area is wider within one day, each department illumination within the acquaintance period
All there is different difference in intensity and wind speed, therefore different intensity of illumination and wind speed are used in example.It is sent out using photovoltaic
Electricity and wind-power electricity generation model carry out analog simulation, generate the sunrise force curve of photovoltaic generating system and wind generator system,.
As shown in Figure 5: the gauge load of the system is 3.802+2.695MVA, considers the load of system in one day at any time
Between variation and change, it is assumed that in the load variations situation of system, then in the single period system peak load 3.764+
J2.668MVA, minimum load 2.7+j1.913MVA.
Be respectively connected to 3 groups of PV systems and 2 groups of WTG systems in example, and WTG with power factor for 0.97 output power,
The specific access situation of DG such as table 1 indicates.In order to embody the strategy of this paper cooperation, be equipped in setting system capacitor,
Static Var Compensator, installing installation group number in the node of capacitor is 50 groups.Every group of 20kvar, Static Var Compensator
Adjustable extent is that -1Mvar arrives 1Mvar, as shown in table 2.
The installation situation of Demand-side electric car is as shown in table 3.
The mount message of 1 different type DG of table
The mount message of 2 reactive power compensator of table
The mount message of 3 electric car of table
Shown in Fig. 6: giving the whole network voltage distribution of optimization front and back, it can be seen that by coordinating the DG power output in power grid, electricity
After electrical automobile and reactive-load compensation equipment, all in specified limits, network voltage is obviously improved network voltage.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (4)
1. the electric distribution network reactive-voltage optimization method that a kind of distributed generation resource and electric car access on a large scale, it is characterised in that:
Include the following steps:
S1: foundation meets the sum of line loss minimum, node voltage total drift amount minimum, V2G and participates in reactive Voltage Optimum utilization rate most
Big object and multi object mathematical model；
S2: peak load shifting processing is carried out to load voltage using charge and discharge plan；
S3: the power distribution network partition model based on Electric Distance Method is established；
S4: reactive voltage is optimized by the way of in two steps；
S5: mutually matched mode connects distributed generation resource and electric car on a large scale in terms of centralized control and decentralised control two
The reactive voltage for entering power distribution network optimizes control.
2. the electric distribution network reactive-voltage optimization side that distributed generation resource according to claim 1 and electric car access on a large scale
Method, it is characterised in that: the object and multi object mathematical model of establishing is using following steps:
S11 establishes the smallest objective function of the sum of line loss
In formula: GijFor the conductance of the ij of branch, Vi、VjFor node i, the voltage of j, δijPhase difference of voltage between node i, j；
S12 is established with the smallest objective function of node voltage total drift amount:
In formula: VNFor node voltage rating, ViFor the virtual voltage of node, n is must number of nodes；
S13 establishes the peak use rate objective function that V2G participates in reactive Voltage Optimum:
L3=min (1- ε)
In formula: ε is the utilization rate that V2G participates in reactive Voltage Optimum,For the maximum charge-discharge electric power of node i, M is workable
Electric vehicle quantity, PiFor the charge-discharge electric power of node i, N is the node total number containing electric car；
Single objective function is converted by three single objective functions of above formula:
F=λ1L1+λ2L2+λ3L3
In formula: λ1、λ2、λ3For the corresponding weight coefficient of respective objective function, and λ1+λ2+λ3=1.
3. the electric distribution network reactive-voltage optimization side that distributed generation resource according to claim 1 and electric car access on a large scale
Method, it is characterised in that: the S2 establishes the power distribution network partition model based on Electric Distance Method specifically in the following way:
With the minimum objective function of the sum of each subregion electrical distance value difference value:
Wherein RiIt is electrical distance value, n is subregion number；
For distribution network system, is indicated the distribution network system for having N number of node being divided into n region with M=(N, n), to be divided into n
A area needs to carry out n-1 segmentation, for there is the system of N number of node to havePartition method.
4. the electric distribution network reactive-voltage optimization side that distributed generation resource according to claim 1 and electric car access on a large scale
Method, it is characterised in that: S5 carries out coordinated control in the following way to reactive voltage using decentralised control and centralized control:
The decentralised control is optimized by two stages to reactive voltage inside subregion；
First stage: when the energy is contributed and changed, the switching amount of capacitor does not contribute with new energy and is changed；
Second stage: it after the switching amount for determining capacitor, adjusts Static Var Compensator and achievees the effect that optimize voltage, work as DG
In the case where being in same common node with Static Var Compensator, the two cooperation；
The centralized control is the network parameter and trend distributed data that power grid is acquired by data acquisition analysis system equipment,
The size for adjusting on-load regulator transformer on this basis cooperates both Demand Side Responses are mutually coordinated to reach the optimization overall situation simultaneously
Pressure regulation result.
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| CN110086186A (en) * | 2019-04-24 | 2019-08-02 | 国网山东省电力公司枣庄供电公司 | It is a kind of meter and street lamp charging pile urban power distribution network voltage control method |
| CN110086186B (en) * | 2019-04-24 | 2023-01-31 | 国网山东省电力公司枣庄供电公司 | Urban distribution network voltage control method considering street lamp charging pile |
| CN111525589A (en) * | 2020-05-18 | 2020-08-11 | 国网江苏省电力有限公司 | Reactive voltage support capability assessment method for multi-partition power grid |
| CN111525589B (en) * | 2020-05-18 | 2022-07-08 | 国网江苏省电力有限公司 | Reactive voltage support capability assessment method for multi-partition power grid |
| CN113159985A (en) * | 2021-03-26 | 2021-07-23 | 东北大学 | Two-stage optimal scheduling method for electric heating comprehensive energy system |
| CN113159985B (en) * | 2021-03-26 | 2023-10-31 | 东北大学 | Two-stage optimal scheduling method for electric heating comprehensive energy system |
| CN116388213A (en) * | 2023-05-22 | 2023-07-04 | 国网江西省电力有限公司电力科学研究院 | Dynamic reactive power optimization method and system for active power distribution network containing new energy and charging station |
| CN116388213B (en) * | 2023-05-22 | 2023-09-12 | 国网江西省电力有限公司电力科学研究院 | Dynamic reactive power optimization method and system for active power distribution network containing new energy and charging station |
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