CN109494721A - A kind of power distribution network distributed self-adaption control method suitable for being switched containing flexible multimode - Google Patents
A kind of power distribution network distributed self-adaption control method suitable for being switched containing flexible multimode Download PDFInfo
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- CN109494721A CN109494721A CN201811384237.9A CN201811384237A CN109494721A CN 109494721 A CN109494721 A CN 109494721A CN 201811384237 A CN201811384237 A CN 201811384237A CN 109494721 A CN109494721 A CN 109494721A
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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
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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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Abstract
The invention discloses a kind of power distribution network distributed self-adaption control methods suitable for switching containing flexible multimode.Flexible multimode switchs while having the function of active/idle controlled, imbalance power is adjusted, harmonic wave blocks etc., and can realize the transition between multimode load operation and state.Present invention introduces the concepts of multi-agent system (Multi Agent System, MAS), and the power distribution network switched containing flexible multimode is divided into several intelligent bodies, and select voltage to control key node in each intelligent body.Once detecting fluctuation, it is primarily based on congruity theory, is instructed by the coordinated control of distributed AC servo system intelligent computing agent.Then, coordinated control instruction is realized based on model-free adaption iterative learning control (Model Free Adaptive Control-Iterative Learning Control, MFAC-ILC), flexible multimode is switched and carries out self adaptive control.This method can improve the quality of voltage of power distribution network, and improve the economy of power distribution network.
Description
Technical field
The invention belongs to the control method of electric system more particularly to a kind of distribution suitable for switching containing flexible multimode
Net distributed self-adaption control method.
Background technique
The development trend of the following power distribution network is the modernization and automation of distribution system.It not only contains advanced electric power
Equipment, complicated monitoring, regulation and the communication technology, the access of the large-scale distributed energy also represent power distribution mode and fortune
The change of row administrative mechanism.In the above context, it has derived flexible multimode and has switched this novel electric power electric device.It
Specific implementation device is back-to-back voltage source converter (B2B VSC) and THE UPFC (UPFC).It is opened in addition to having
Outside logical/turn-off capacity, in steady-state operation regulation, flexible multimode switch can realize the tide of power distribution network with transmitting active power
Stream mutually helps.In addition, two inverters for constituting flexible multimode switch can independently issue or absorbing reactive power.
Due to the complication of the following power distribution network control mode and the magnanimity of data information, and consider communication delay and
The demand for calculating the time, being unable to satisfy using the global optimization of centerized fusion, there is stronger randomness to match with quickly variational
Power grid demand.Therefore, become a wise selection using low hsrdware requirements and the distributed AC servo system being enable to respond quickly.In order to
The active optimal control for realizing the following power distribution network, needs to combine global optimization and partial autonomy.Since global optimization is usual
, can not be completely the same with actual motion state based on historical data or prediction data, and global optimization is rung compared with real-time control
It is longer between seasonable.Therefore it is autonomous to need to realize that part is coordinated on the basis of global optimization.
The method that the research of the power distribution network control of the switch containing flexible multimode mostly uses centerized fusion greatly at present, and it is less
It is related to self adaptive control.Document " a kind of interconnection switch and intelligent Sofe Switch and the power distribution network operation timing optimization method deposited " proposes
The power distribution network timing optimization method that a kind of interconnection switch based on simulated annealing and cone optimization and flexible multimode are switched and deposited.
Document " the distribution looped network optimal power flow control strategy based on THE UPFC " proposes a kind of based on Unified Power Flow control
The distribution looped network optimal power flow control strategy of device (UPFC)." the active distribution network Multiple Time Scales based on SNOP optimize plan to document
The control strategy in short-term based on voltage fluctuation slightly " is proposed, but self-adaptation control method is relatively easy, and does not account for being distributed
Formula control.
Summary of the invention
The invention discloses a kind of power distribution network distributed self-adaption control methods suitable for switching containing flexible multimode.It is soft
Property multimode switch have the function of simultaneously active/idle controlled, imbalance power adjust, harmonic wave blocking etc., and can realize more shapes
Transition between state load operation and state.How the operation characteristic and mathematical model of flexible multimode switch, realization pair are combined
The distributed self-adaption control of the power distribution network of the switch containing flexible multimode is the problem of present invention intends to solve.
The present invention specifically realizes in the following way:
A kind of power distribution network distributed self-adaption control method suitable for switching containing flexible multimode, includes the following steps:
S1: the power distribution network switched containing flexible multimode is resolved into several intelligent bodies；The method of determination of intelligent body is every
One feeder line and its all load bus of connection constitute an intelligent body；
S2: voltage is selected to control key node in each intelligent body；
S3: the voltage and the electric current on feeder line of detection voltage control key node, if voltage or electric current fluctuate,
Continue S4；
S4: calculating the coordinated control instruction of each intelligent body, and the coordinated control instruction is that the state of intelligent body occurs
After fluctuation, curve that the expectation state of intelligent body changes over time；If voltage fluctuates, it is based on voltage Controlling model, is adopted
With discrete uniformity algorithm, the coordinated control instruction of voltage is calculated；If electric current fluctuates, mould is controlled based on feeder line load factor
Type calculates the coordinated control instruction of feeder line load factor using discrete uniformity algorithm；
S5: (Model Free Adaptive Control-Iterative is controlled based on model-free adaption iterative learning
Learning Control, MFAC-ILC) active power or reactive power of flexible multimode switch are controlled, realize S4
Obtained in coordinated control instruction；During being somebody's turn to do, if in order to realize that voltage coordinated control instructs, to flexible multimode switch
Reactive power is regulated and controled；If in order to realize that feeder line load factor coordinated control instructs, to the wattful power of flexible multimode switch
Rate is regulated and controled.
Preferably, in the S1 intelligent body decomposition result are as follows: by flexible multimode switch connection between intelligent body,
The quantity of intelligent body is equal to the quantity of feeder line in power distribution network.
Preferably, in the S2 voltage control key node selection gist are as follows: select feeder terminal node or
The node for having accessed new energy controls key node as voltage.
Preferably, voltage Controlling model in the S4 are as follows:
Wherein, ivKey node is controlled for voltage,The voltage of key node is controlled for voltage,It controls and closes for voltage
The voltage variety of key node,Key node i is controlled for voltagevVoltage reference value.
Preferably, feeder line load factor Controlling model in the S4 are as follows:
Wherein, ηiFor the load factor of feeder line i, Δ ηiFor the load factor variable quantity of feeder line i, PiFor the function flowed through on feeder line i
Rate, Pi.refThe power flowed through on feeder line i when for load or new energy fluctuation not occurring, Pi.maxFor the capacity of feeder line i.
Preferably, the discrete uniformity algorithm in the S4 is specially to consider that the improvement discrete uniformity of constraint condition is calculated
Method；The specific control law of the algorithm are as follows:
Wherein, N is the number of intelligent body；δji(k)=xj(k)-xi(k), λiFor the weight coefficient of intelligent body i；xi(k) it is
State of the intelligent body i at the k moment；If calculating the coordinated control instruction of voltage, λ is takeni=Pi.max,If calculated
The coordinated control of feeder line load factor instructs, and takes λi=1, xi(k)=Δ ηi(k), Δ ηiIt (k) is load factor of the feeder line i at the k moment
Variable quantity；aij(k) communications status between k moment intelligent body is reflected；If intelligent body i and j can lead to mutually at the k moment
Letter, aij(k)=1；If intelligent body i and j cannot be communicated mutually at the k moment, aij(k)=0；cijFor the weight of definition, it is used for
Under the premise of considering the state bound of intelligent body, the state of subsequent time intelligent body is calculated；And cijIt (k) is the power at k moment
Weight.
Preferably, c in the S4ijCalculation method include following sub-step:
S41: intelligent body i sends informationAnd receive informationj∈Ni(k), wherein Ni(k) it is
The intelligent body set that the k moment can communicate with intelligent body i；For the upper limit of intelligent body i state；x iFor under intelligent body i state
Limit；
S42: intermediate variable u is calculatedi(k)、li(k)、δji(k) value；
li(k)=xi(k)-x i
S43: c is calculatedijValue:
Wherein, parameterI ∈ [1, n], | Ni(k) | it can be with for the k moment
The intelligent body quantity communicated with intelligent body i, | δji(k) | indicate δji(k) absolute value.
Preferably, based on the control law of MFAC-ILC in the S5 are as follows:
Wherein, n is the number of iteration；For the estimated value of the pseudo- partial derivative in k moment intelligent body nth iteration；K=
It is initial time when 1；Y (k) and u (k) is the output and input quantity of k moment intelligent body, y respectivelyn(k) and un(k) when being k respectively
Carve the output and input quantity in intelligent body nth iteration；yd(k) be k moment intelligent body desired output；Δyn(k)=yn(k)-yn(k-1), ε be one close to 0 positive number；ρ and η is step factor, full
Sufficient ρ, η ∈ (0,1]；λ > 0 is weight factor；μ > 0 is the penalty factor to PPD estimated value variable quantity；β is Studying factors；WithRespectivelyWithAbsolute value；Sign () is sign function；en(k)=yd(k)-yn
(k) tracking error of nth iteration is indicated；Indicate the feedforward part that the k moment inputs in nth iteration,Indicate the
The feedback fraction that the k moment inputs in n times iteration；
If detecting voltage fluctuation, when regulating and controlling to the reactive power of flexible multimode switch, u (k) is flexible more
The reactive power of status switch, y (k) are the virtual voltage that voltage controls key node, yd(k) coordinate control for the obtained voltage of S4
System instruction, i.e. the expectation voltage of voltage control key node；If detecting current fluctuation, to the active of flexible multimode switch
When power is regulated and controled, u (k) is the active power of flexible multimode switch, and y (k) is the actual loading rate of feeder line, yd(k) it is
The feeder line load factor coordinated control instruction that S4 is obtained, i.e. the expectation load factor of feeder line.
Present invention introduces the concepts of multi-agent system (Multi Agent System, MAS), will contain flexible multimode and open
The power distribution network of pass is divided into several intelligent bodies, and selects voltage to control key node in each intelligent body.Once detecting wave
It is dynamic, it is primarily based on congruity theory, is instructed by the coordinated control of distributed AC servo system intelligent computing agent.Then, it is based on model-free
Adaptive iterative learning control MFAC-ILC realizes coordinated control instruction, switchs to flexible multimode and carries out self adaptive control.This
Method can improve the quality of voltage of power distribution network, and improve the economy of power distribution network.
Detailed description of the invention
Fig. 1 is the example display diagram of the power distribution network distributed self-adaption control method suitable for switching containing flexible multimode.
Fig. 2 is the feeder line load factor control of the power distribution network distributed self-adaption control method suitable for switching containing flexible multimode
The display diagram of result processed.
Fig. 3 is the feeder line load factor control of the power distribution network distributed self-adaption control method suitable for switching containing flexible multimode
The display diagram of result processed.
Fig. 4 is the voltage control stage suitable for the power distribution network distributed self-adaption control method switched containing flexible multimode
Property result display diagram.
The voltage control result exhibition for the power distribution network distributed self-adaption control method that Fig. 5 is suitable for switching containing flexible multimode
Diagram.
Specific embodiment
The present invention is further elaborated in the following with reference to the drawings and specific embodiments.
In the present invention, suitable for the power distribution network distributed self-adaption control method switched containing flexible multimode comprising such as
Lower step:
S1: the power distribution network switched containing flexible multimode is resolved into several intelligent bodies；
In this step, the method for determination of intelligent body are as follows: each feeder line and its all load bus of connection constitute one
Intelligent body.As shown in Figure 1.By flexible multimode switch connection between intelligent body, the quantity of intelligent body, which is equal in power distribution network, is presented
The quantity of line.
S2: voltage is selected to control key node in each intelligent body；The selection gist of voltage control key node are as follows:
It selects the node of feeder terminal or has accessed the node of new energy as voltage control key node.
S3: the voltage and the electric current on feeder line of detection voltage control key node, if voltage or electric current fluctuate,
Continue S4；
S4: calculating the coordinated control instruction of each intelligent body, and the coordinated control instruction is that the state of intelligent body occurs
After fluctuation, curve that the expectation state of intelligent body changes over time；There are two kinds of situations at this time, the first is if voltage occurs
Fluctuation is based on voltage Controlling model, using discrete uniformity algorithm, calculates the coordinated control instruction of voltage；Be for second if
Electric current fluctuates, and is based on feeder line load factor Controlling model, using discrete uniformity algorithm, calculates the coordination control of feeder line load factor
System instruction；
Voltage Controlling model in this step are as follows:
Wherein, ivKey node is controlled for voltage,The voltage of key node is controlled for voltage,It controls and closes for voltage
The voltage variety of key node,Key node i is controlled for voltagevVoltage reference value.
Feeder line load factor Controlling model in this step are as follows:
Wherein, ηiFor the load factor of feeder line i, Δ ηiFor the load factor variable quantity of feeder line i, PiFor the function flowed through on feeder line i
Rate, Δ PiFor PiWith Pi.refDifference；Pi.refThe power flowed through on feeder line i when for load or new energy fluctuation not occurring, Pi.max
For the capacity of feeder line i.
Discrete uniformity algorithm in this step is specially the improvement discrete uniformity algorithm for considering constraint condition；The algorithm
Specific control law are as follows:
Wherein, N is the number of intelligent body；δji(k)=xj(k)-xi(k), λiFor the weight coefficient of intelligent body i；xi(k) it is
State of the intelligent body i at the k moment；If calculating the coordinated control instruction of voltage, λ is takeni=Pi.max,If calculated
The coordinated control of feeder line load factor instructs, and takes λi=1, xi(k)=Δ ηi(k), Δ ηiIt (k) is load factor of the feeder line i at the k moment
Variable quantity；aij(k) communications status between k moment intelligent body is reflected；If intelligent body i and j can lead to mutually at the k moment
Letter, aij(k)=1；If intelligent body i and j cannot be communicated mutually at the k moment, aij(k)=0；cijFor the weight of definition, it is used for
Under the premise of considering the state bound of intelligent body, the state of subsequent time intelligent body is calculated；And cijIt (k) is the power at k moment
Weight.
Above-mentioned weight cijCalculation method include following sub-step:
S41: intelligent body i sends informationAnd receive informationj∈Ni(k), wherein Ni(k) it is
The intelligent body set that the k moment can communicate with intelligent body i；For the upper limit of intelligent body i state；x iFor under intelligent body i state
Limit；
S42: intermediate variable u is calculatedi(k)、li(k)、δji(k) value；
li(k)=xi(k)-x i
S43: c is calculatedijValue:
Wherein, parameterParameterParameterK be from initial time to it is current when
It carves, i ∈ [1, n]；|Ni(k) | it is the intelligent body quantity that can be communicated with intelligent body i at the k moment, | δji(k) | indicate δji(k) exhausted
To value.
S5: the active power or reactive power switched based on MFAC-ILC to flexible multimode is controlled, and is realized in S4
Obtained coordinated control instruction；There are two kinds of situations during being somebody's turn to do at this time: if in order to realize that voltage coordinated control instructs, to soft
Property multimode switch reactive power regulated and controled；If in order to realize that feeder line load factor coordinated control instructs, to flexible more shapes
The active power of state switch is regulated and controled.
Based on the control law of MFAC-ILC in this step are as follows:
Wherein, n is the number of iteration；φc(k) ∈ R is pseudo- partial derivative (the Pseudo Partial of intelligent body
Derivative, PPD)；For the estimated value of the pseudo- partial derivative in k moment intelligent body nth iteration；It is initial when k=1
Moment；Y (k) and u (k) is the output and input quantity of k moment intelligent body, y respectivelyn(k) and unIt (k) is k moment intelligent body respectively
Output and input quantity in n times iteration；yd(k) be k moment intelligent body desired output；Δyn
(k)=yn(k)-yn(k-1), ε is a sufficiently small positive number, takes 0.01 in the present invention；ρ and η is step factor, meets ρ, η ∈
(0,1], it is therefore an objective to make algorithm that there is stronger flexibility and generality；λ > 0 is a weight factor, for limiting input quantity
Variation；μ > 0 is the penalty factor to PPD estimated value variable quantity；β is Studying factors；WithRespectivelyWith
Absolute value；Sign () is sign function；en(k)=yd(k)-yn(k) indicate nth iteration with
Track error；Indicate the feedforward part that the k moment inputs in nth iteration,The k moment inputs in expression nth iteration
Feedback fraction；
If detecting voltage fluctuation, when regulating and controlling to the reactive power of flexible multimode switch, u (k) is flexible more
The reactive power of status switch, y (k) are the virtual voltage that voltage controls key node, yd(k) coordinate control for the obtained voltage of S4
System instruction, i.e. the expectation voltage of voltage control key node；If detecting current fluctuation, to the active of flexible multimode switch
When power is regulated and controled, u (k) is the active power of flexible multimode switch, and y (k) is the actual loading rate of feeder line, yd(k) it is
The feeder line load factor coordinated control instruction that S4 is obtained, i.e. the expectation load factor of feeder line.
Embodiment
In order to verify a kind of distributed self-adaption control method suitable for switching containing flexible multimode proposed by the present invention,
Above-mentioned partition method (specific steps are as before, repeat no more) is realized using MATLAB software development, and in following environment configurations
PC machine on realize the test and verification of the present embodiment.
Intel (R) Core (TM) i7-4770CPU@3.40GHz, 16.0GB memory, 64 bit manipulation systems, based on x64's
Processor.
Power distribution network used in the present embodiment is improved IEEE33 node system.Due to 3 more shapes of flexibility of system access
State switch, wherein 1 three end flexibility multimodes switch, 2 both ends flexibility multimode switches, lead to original IEEE33 node system
System on-position is inadequate.Therefore, node 30~33 is moved to node and forms a new branch.Meanwhile node 24,25 accesses
Photovoltaic system, node 16,17 have accessed wind power system.The rated power of new energy is 200kW,Such as Fig. 1
It is shown.As can be seen that the feeder line in Fig. 1 is respectively branch 2-30, branch 2-3 and branch 2-19.For the convenience of statement, after
Text is referred to as feeder line 1,2 and 3.The node being connected with three feeder lines has respectively constituted three intelligent bodies, as shown in figure 1 grey parts
Mark.Wherein, selecting the voltage of intelligent body 1 to control key node is node 33, and the voltage of intelligent body 2 is selected to control key node
For node 18,25 and 29, selecting the voltage of intelligent body 3 to control key node is node 22.
Assuming that the new energy at node 24,25 is fluctuated, Δ PDG.24=Δ PDG.25=50kW (take absorb power be
Just, consumption power is negative).Different flexible multimode contact capacity values is taken respectively, and available feeder line load factor undulate quantity is bent
Line is as shown in Figure 2,3.
When the capacity of flexible multimode switch is larger, the ability of transmitting active power is larger, the fluctuation of feeder line load factor
The variation range of amount is larger, on the contrary then smaller.In Fig. 2, the variation range of feeder line load factor undulate quantity is larger.In iterative process
In, for feeder line load factor undulate quantity not by the constraint of range, the load factor undulate quantity of three feeder lines converges to 2.276%..
In Fig. 3, the variation range of feeder line load factor undulate quantity is smaller, receives the constraint of constraint condition, the load factor fluctuation of feeder line 1,3
Amount rises to 1.463%, while the power waves momentum of feeder line 2 drops to 3.113%.This is because flexible multimode switch can
The power limited of transmission, the load factor undulate quantity of three feeder lines cannot reach consistent.But it can meet about in the case of two kinds
Beam condition, i.e., flexible multimode switch can only transmitting active power, cannot issue or absorb active power.
Assuming that the new energy at node 16,17,24 and 25 is fluctuated, Δ QDG.16=Δ QDG.17=80kW, Δ QDG.24
=Δ QDG.25=100kW (takes absorption power to be positive, consumption power is negative).By discrete uniformity algorithm, phase for being calculated
Hope voltage variety curve as shown in Figure 4.The voltage variety of each voltage control key node reaches consistent.Then, it transports
With voltage ADAPTIVE CONTROL, voltage control key node expectation voltage curve and virtual voltage curve it is as shown in Figure 5.Figure
In solid line be it is expected voltage curve, i.e., the coordinated control instruction obtained by discrete uniformity algorithm；Dotted line in figure is real
Border voltage curve tracks the result of expectation voltage curve by MFAC-ILC.As can be seen that virtual voltage curve can be fine
Ground tracking expectation voltage curve.This illustrate algorithm proposed by the present invention can be realized intelligent body voltage's distribiuting formula it is self-adaptive controlled
System.
Claims (8)
1. a kind of power distribution network distributed self-adaption control method suitable for being switched containing flexible multimode, it is characterised in that including such as
Lower step:
S1: the power distribution network switched containing flexible multimode is resolved into several intelligent bodies；The method of determination of intelligent body is each
Feeder line and its all load bus of connection constitute an intelligent body；
S2: voltage is selected to control key node in each intelligent body；
S3: the voltage and the electric current on feeder line of detection voltage control key node continue if voltage or electric current fluctuate
Carry out S4；
S4: calculating the coordinated control instruction of each intelligent body, and the coordinated control instruction is that the state of intelligent body fluctuates
Afterwards, the curve that the expectation state of intelligent body changes over time；If voltage fluctuates, be based on voltage Controlling model, using from
Consistency algorithm is dissipated, the coordinated control instruction of voltage is calculated；If electric current fluctuates, it is based on feeder line load factor Controlling model,
Using discrete uniformity algorithm, the coordinated control instruction of feeder line load factor is calculated；
S5: the active power or reactive power switched based on MFAC-ILC to flexible multimode is controlled, and is realized and is obtained in S4
Coordinated control instruction；During being somebody's turn to do, if in order to realize that voltage coordinated control instructs, to the idle function of flexible multimode switch
Rate is regulated and controled；If being carried out to realize that feeder line load factor coordinated control is instructed to the active power of flexible multimode switch
Regulation.
2. a kind of power distribution network distributed self-adaption controlling party suitable for being switched containing flexible multimode according to claim 1
Method, which is characterized in that the decomposition result of intelligent body in the S1 are as follows: pass through flexible multimode switch connection, intelligence between intelligent body
The quantity of energy body is equal to the quantity of feeder line in power distribution network.
3. a kind of power distribution network distributed self-adaption controlling party suitable for being switched containing flexible multimode according to claim 1
Method, which is characterized in that the selection gist of voltage control key node in the S2 are as follows: select node or the access of feeder terminal
The node of new energy controls key node as voltage.
4. a kind of power distribution network distributed self-adaption controlling party suitable for being switched containing flexible multimode according to claim 1
Method, which is characterized in that voltage Controlling model in the S4 are as follows:
Wherein, ivKey node is controlled for voltage,The voltage of key node is controlled for voltage,Crucial section is controlled for voltage
The voltage variety of point,Key node i is controlled for voltagevVoltage reference value.
5. a kind of power distribution network distributed self-adaption controlling party suitable for being switched containing flexible multimode according to claim 1
Method, which is characterized in that feeder line load factor Controlling model in the S4 are as follows:
Wherein, ηiFor the load factor of feeder line i, Δ ηiFor the load factor variable quantity of feeder line i, PiFor the power flowed through on feeder line i,
Pi.refThe power flowed through on feeder line i when for load or new energy fluctuation not occurring, Pi.maxFor the capacity of feeder line i.
6. a kind of power distribution network distributed self-adaption controlling party suitable for being switched containing flexible multimode according to claim 1
Method, which is characterized in that the discrete uniformity algorithm in the S4 is specially the improvement discrete uniformity algorithm for considering constraint condition；
The specific control law of the algorithm are as follows:
Wherein, N is the number of intelligent body；δji(k)=xj(k)-xi(k), λiFor the weight coefficient of intelligent body i；xiIt (k) is intelligence
State of the body i at the k moment；If calculating the coordinated control instruction of voltage, λ is takeni=Pi.max,If calculating feeder line
The coordinated control of load factor instructs, and takes λi=1, xi(k)=Δ ηi(k), Δ ηi(k) change for feeder line i in the load factor at k moment
Amount；aij(k) communications status between k moment intelligent body is reflected；If intelligent body i and j can be communicated mutually at the k moment, aij
(k)=1；If intelligent body i and j cannot be communicated mutually at the k moment, aij(k)=0；cijFor the weight of definition, for examining
Under the premise of the state bound for considering intelligent body, the state of subsequent time intelligent body is calculated；And cijIt (k) is the weight at k moment.
7. a kind of power distribution network distributed self-adaption controlling party suitable for being switched containing flexible multimode according to claim 1
Method, which is characterized in that c in the S4ijCalculation method include following sub-step:
S41: intelligent body i sends informationAnd receive informationWherein NiIt (k) is the k moment
The intelligent body set that can be communicated with intelligent body i；For the upper limit of intelligent body i state；xiFor the lower limit of intelligent body i state；
S42: intermediate variable u is calculatedi(k)、li(k)、δji(k) value；
li(k)=xi(k)-x i
S43: c is calculatedijValue:
Wherein, parameter|Ni(k) | for the k moment can and intelligence
The intelligent body quantity of energy body i communication, | δji(k) | indicate δji(k) absolute value.
8. a kind of power distribution network distributed self-adaption controlling party suitable for being switched containing flexible multimode according to claim 1
Method, which is characterized in that based on the control law of MFAC-ILC in the S5 are as follows:
Wherein, n is the number of iteration；For the estimated value of the pseudo- partial derivative in k moment intelligent body nth iteration；When k=1
For initial time；Y (k) and u (k) is the output and input quantity of k moment intelligent body, y respectivelyn(k) and unIt (k) is k moment intelligence respectively
Output and input quantity in energy body nth iteration；yd(k) be k moment intelligent body desired output；
Δyn(k)=yn(k)-yn(k-1), ε be one close to 0 positive number；ρ and η is step factor, meets ρ, η ∈ (0,1]；λ > 0 is
Weight factor；μ > 0 is the penalty factor to PPD estimated value variable quantity；β is Studying factors；WithRespectivelyWithAbsolute value；Sign () is sign function；en(k)=yd(k)-yn(k) tracking of nth iteration is indicated
Error；Indicate the feedforward part that the k moment inputs in nth iteration,Indicate that the k moment inputs anti-in nth iteration
Present part；
If detecting voltage fluctuation, when regulating and controlling to the reactive power of flexible multimode switch, u (k) is flexible multimode
The reactive power of switch, y (k) are the virtual voltage that voltage controls key node, yd(k) refer to for the obtained voltage coordinated control of S4
It enables, i.e. the expectation voltage of voltage control key node；If detecting current fluctuation, to the active power of flexible multimode switch
When being regulated and controled, u (k) is the active power of flexible multimode switch, and y (k) is the actual loading rate of feeder line, yd(k) it is obtained for S4
The feeder line load factor coordinated control instruction arrived, i.e. the expectation load factor of feeder line.
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| CN111682594A (en) * | 2020-06-15 | 2020-09-18 | 天津大学 | Data-driven model-free adaptive voltage control method for flexible substation of power distribution network |
| CN111969662A (en) * | 2020-08-20 | 2020-11-20 | 天津大学 | Data-driven multi-intelligent soft switch partition cooperative adaptive voltage control method |
| CN117117874A (en) * | 2023-10-23 | 2023-11-24 | 广东电网有限责任公司佛山供电局 | Control method, device, equipment and medium of distributed power grid system |
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| CN117117874A (en) * | 2023-10-23 | 2023-11-24 | 广东电网有限责任公司佛山供电局 | Control method, device, equipment and medium of distributed power grid system |
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