CN106340890B - For coordinating the distributed control method of power distribution network energy-storage system efficiency for charge-discharge - Google Patents
For coordinating the distributed control method of power distribution network energy-storage system efficiency for charge-discharge Download PDFInfo
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Abstract
The invention discloses a kind of for coordinating the distributed control method of power distribution network energy-storage system efficiency for charge-discharge, include the following steps: that step 10) calculates local power shortage: step 20) realizes the shared of power shortage, obtain system total power vacancy: step 30) calculates the marginal charging cost of each energy-storage system, determines preset containing consistency value；Step 40) makes each energy storage agency reach containing consistency by pinning control；Step 50) adjusts the charge power of energy-storage system in power distribution network.The control method is a kind of fully distributed control method, it can realize that global information is shared in a distributed fashion, meets the needs of distributed unit plug-and-play operation, and consider marginal charging cost and charged state, the charge power of energy-storage system is accurately adjusted, to coordinate and optimize the efficiency for charge-discharge of each energy-storage system in power distribution network.
Description
Technical field
The invention belongs to active distribution networks to run control field, it particularly relates to a kind of for coordinating power distribution network energy storage
The distributed control method of system efficiency for charge-discharge.
Background technique
With distributed generation resource, the permeability of novel controllable burden, energy-storage system distributed resource is stepped up, distribution
Net will be changed into the active electric network of to and fro flow of power from passive unidirectional supply network, and active distribution network technology is come into being.
Active distribution network is the actual motion state according to electric system, the distribution using economy, safety as target, to largely accessing
Formula power supply carry out active management, can automatic adjusument network, power supply, load power distribution network.Active distribution network both may be implemented
To the active control of the controllable resources such as distributed generation resource, flexible load and energy storage, and it can use flexible network topology structure
It realizes effective management of trend, and on the basis of reasonable supervision and access criterion, provides distributed generation resource to distribution system
Certain supporting role.Active distribution network can increase the reliability of power supplied locally, reduce network loss, considerably increase using energy source
Efficiency is a kind of new distribution system for meeting the following smart grid demand for development.
Due to the randomness and uncertain and load diversity of distributed type renewable generator unit, active distribution network
Meeting disturbs frequent occurrence and accident.Therefore, the mutation of power supply and load proposes challenge to the stable operation of active distribution network.Mesh
Before, there are many local optimal controls and coordinated control of research concern energy-storage system efficiency for charge-discharge, to stabilize by distributed electrical
The unbalanced power that source and load fluctuation cause, improves the reliability and utilization of new energy resources efficiency of active distribution network.Energy-storage system
Coordinated control mode include centralized and distributed.Centerized fusion needs a central controller to handle a large amount of number
According to being easy to happen failure, moreover, it is contemplated that arriving the uncertainty of intermittent renewable energy, the fluctuation of power generation may cause meaning
Outer structure change, this just further increases central controlled burden.In addition, the distributed control method of master-slave mode, due to
Leader or virtual leader has been used to carry out acquisition process information, similar failure or attack are likely to occur on leader,
System performance and reliability are impacted.A kind of complete distributed control method should include following advantages, resist uncertain dry
The ability that complete decentralized data updates is disturbed and obtained, efficient information sharing may be implemented, finally realize faster decision
And operation.
Summary of the invention
Technical problem: it is filled the technical problems to be solved by the present invention are: providing one kind for coordinating power distribution network energy-storage system
The distributed control method of discharging efficiency, the control method are a kind of complete distributed control methods, realize global information
Distributed sharing meets the needs of distributed unit plug-and-play operation, and considers marginal charging cost and charged state, to storage
The charge power of energy system is accurately adjusted, to coordinate the charge efficiency of each energy-storage system in power distribution network.
Technical solution: in order to solve the above technical problems, one kind that the present invention uses is filled for coordinating power distribution network energy-storage system
The distributed control method of discharging efficiency, the power distribution network use multi-agent system, and multi-agent system includes two layers: first layer generation
Reason system is to acquire for realizing distributed global information and shared information sharing layer；Second layer agency plant is for reality
Existing coordinated control layer of the distributed energy storage system based on containing；N agency is shared in multi-agent system, each energy-storage system is corresponding
The number of one agency, the number of energy-storage system and agency corresponding with the energy-storage system are identical；Each agency passes through first layer generation
Reason system obtains global information, is controlled by the distributed collaboration that second layer agency plant is directly realized by energy-storage system；Work as charging
Value and power reference PE,C,iWhen < 0, as discharge process；
The control method includes the following steps:
Step 10) calculates local power shortage: when power swing occurs for power distribution network, multi-agent system monitors entirely to match
The power disturbance of power grid obtains the power shortage of each agency；
Step 20) realizes the shared of power shortage, obtains system total power vacancy；
Step 30) calculates the marginal charging cost of each energy-storage system, determines preset containing consistency value；
Step 40) makes each energy storage agency reach containing consistency by pinning control；
Step 50) adjusts the charge power of energy-storage system in power distribution network.
As preference, the step 20) is specifically included:
In first layer agency plant, distributed global information is carried out based on average homogeneity algorithm and is shared, realizes general power
Vacancy is shared in multi-agent system；
Act on behalf of using formula (1) shared procedure of power shortage, until the power shortage of all agencies reaches average
When consistency, it is shared in multi-agent system to complete power shortage:
In formula,Indicate the power shortage that i is acted on behalf of in kth time iterative process,It indicates in kth time iterative process
The middle distributed power source output power for acting on behalf of i, σLoss,iIndicate the Transmission loss of load power,It indicates to change in kth time
The distributed generation resource load power of i is acted on behalf of during generation,Indicate that the power that i is acted on behalf of in+1 iterative process of kth lacks
Volume；Indicate the power shortage that j is acted on behalf of in kth time iterative process；wijExpression acts on behalf of i and acts on behalf of the communicative couplings between j
Coefficient, when acting on behalf of i with acting on behalf of j and thering is communication line to connect, wij≠ 0, otherwise wij=0；NiIndicate the set of energy-storage system number；
General power vacancy in power distribution network is obtained according to formula (2):
In formula, PMIndicate general power vacancy；nΔ(t)Agency's sum of control is participated in expression system；Indicate average one
The convergency value of cause property algorithm；ΔPM,iThe power shortage of i is acted on behalf of in expression.
As preference, the step 30) is specifically included:
In second layer agency plant, shown in optimization aim and the constraint condition such as formula (3) of energy-storage system charging process:
In formula, PE,C,iIndicate the reference value of charge power；ηC,iIndicate the charge efficiency of i-th of energy-storage system；αiIt is i-th
First coefficient of a energy-storage system；βiIt is second coefficient of i-th of energy-storage system, PMIndicate general power vacancy；ΔPM,iIndicate generation
Manage the power shortage of i；PG,iThe distributed power source output power of i is acted on behalf of in expression；PL,iThe load power of i is acted on behalf of in expression；PLoss,iTable
Show the transmission loss power for acting on behalf of i；The lower limit value of i charge power reference value is acted on behalf of in expression,I charging function is acted on behalf of in expression
The upper limit value of rate reference value；
The marginal charging cost of each agency is calculated according to formula (4):
In formula, ρC,iIndicate that the marginal charging cost function of i is acted on behalf of in energy storage；PE,C,iIndicate the reference value of charge power；
Preset containing consistency value is determined according to formula (5):
In formula,Indicate the marginal charging cost that i is acted on behalf of in kth time iterative process；It indicates in kth time iteration mistake
The charge power reference value of i is acted on behalf of in journey；γiIt is the power shortage coefficient for acting on behalf of i；The side in an iterative process i is acted on behalf of in expression
The final value of border charging cost；Preset containing consistency value is indicated, when the asymptotic receipts of marginal charging cost of all energy-storage systems
It holds back in a common valueWhen, the objective function of formula (3) is optimal.
As preference, the step 40) is specifically included: by the distributed and coordinated control based on containing, being stored up
The marginal charging cost optimization of energy system, makes it converge to preset containing homogeneity value；
According to the information interactive process for acting on behalf of i, obtain acting on behalf of i the distributed collaboration governing equation such as formula (6) based on containing
It is shown:
In formula,Indicate the marginal charging cost that i is acted on behalf of in+1 iterative process of kth；It indicates to change in kth time
The marginal charging cost of j is acted on behalf of during generation；diIt is the pinning control gain for acting on behalf of i, di≥0；di=0 indicates without being directed to generation
Manage the pinning control of i；
Using formula (7) and formula (8) to wijIt is updated:
In formula, Δ (t) indicates the variation of communication topology in power distribution network；λ indicates consistency constant, influences the double-deck consistency and calculates
The convergence property of method, and 0 < λ < 1；ni,Δ(t)It indicates to act on behalf of the quantity that i neighbours act on behalf of, nj,Δ(t)It indicates to act on behalf of the number that j neighbours act on behalf of
Amount, Ni,Δ(t)It indicates to act on behalf of the set that i neighbours act on behalf of.
As preference, the step 50) is specifically included: according to the limit for each agency optimization that step 40) obtains
Charging cost, and consider the charged state of energy-storage system, charge power reference value is adjusted according to formula (9):
In formula, ζiThe charged state of i is acted on behalf of in expression；The lower limit of i charged state is acted on behalf of in expression；Expression is acted on behalf of i and is filled
The upper limit of electricity condition；
The charged state ζ for acting on behalf of i is calculated according to formula (10)i:
In formula,Indicate the charged state that i is acted on behalf of in kth time iterative process；It indicates in -1 iterative process of kth
The middle charged state for acting on behalf of i；Indicate the charge power reference value that i is acted on behalf of in -1 iterative process of kth；It indicates
The charge efficiency of i is acted on behalf of in -1 iterative process of kth；Δ T indicates discrete time intervals；CE,iThe storage volume of i is acted on behalf of in expression.
As preference, the σLoss,iValue is 5% to the 7% of total load power.
The utility model has the advantages that the control method of the embodiment of the present invention is a kind of complete distributed control method, based on more agencies
The double-deck consistency algorithm of system coordinates the efficiency for charge-discharge of power distribution network energy-storage system, may be implemented efficient distributed global
Information sharing, and consider marginal charge and discharge cost and charging and discharging state, efficiency for charge-discharge optimization is carried out, is had good adaptive
Property, it can satisfy the demand of distributed unit plug and play.The coordination power distribution network energy-storage system charge and discharge of the embodiment of the present invention are imitated
The distributed control method of rate monitors the power swing of power distribution network by local agent, in power distribution network emergent power vacancy, from
Global information is obtained in multi-agent system with communication constraint, obtains system total power vacancy.In first layer, using average
It is shared that consistency algorithm carries out distributed information, when result reaches average homogeneity, complete global information multi-agent system it
Between it is shared.The algorithm is able to carry out adaptive weighting update, can adapt to the variation of communication topology, realizes the fast of global information
It is fast efficiently shared.In the second layer, each agency solves charge and discharge process using consistency algorithm is restrained according to charge and discharge process
Optimized model obtain optimal marginal charge and discharge cost when all proxy isochronous converge to preset containing consistency value.
According to the charge-discharge electric power reference value of obtained optimal result adjustment energy-storage system, to coordinate the charge and discharge of power distribution network energy-storage system
Electrical efficiency.
Detailed description of the invention
Fig. 1 is the flow diagram of the embodiment of the present invention.
Fig. 2 is the structural schematic diagram of power distribution network analogue system in the embodiment of the present invention.
Fig. 3 is the control effect figure of simulating scenes one in the embodiment of the present invention.
Fig. 4 is the control effect figure of simulating scenes two in the embodiment of the present invention.
Fig. 5 is the control effect figure of simulating scenes three in the embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing and case study on implementation
The present invention is in depth described in detail.It should be appreciated that specific implementation case described herein is only used to explain this hair
It is bright, it is not used to limit invention.
In the embodiment of the present invention, power distribution network uses multi-agent system, and multi-agent system includes two layers: first layer agency plant
To be acquired and shared information sharing layer for realizing distributed global information；Second layer agency plant is for realizing distribution
Coordinated control layer of the formula energy-storage system based on containing；N agency, each energy-storage system corresponding generation are shared in multi-agent system
The number of reason, the number of energy-storage system and agency corresponding with the energy-storage system are identical；Each agency passes through first layer agency plant
Global information is obtained, is controlled by the distributed collaboration that second layer agency plant is directly realized by energy-storage system；When charge power is joined
Examine value PE,C,iWhen < 0, as discharge process.
As shown in Figure 1, the embodiment of the present invention is a kind of for coordinating the distribution of power distribution network energy-storage system efficiency for charge-discharge
Control method includes the following steps:
Step 10) calculates local power shortage: when power swing occurs for power distribution network, multi-agent system monitors entirely to match
The power disturbance of power grid obtains the power shortage of each agency.
Step 20) realizes the shared of power shortage, obtains system total power vacancy: in first layer agency plant, being based on
Average homogeneity algorithm carries out distributed global information and shares, and realizes that general power vacancy is shared in multi-agent system；
Act on behalf of using formula (1) shared procedure of power shortage, until the power shortage of all agencies reaches average
When consistency, it is shared in multi-agent system to complete power shortage:
In formula,Indicate the power shortage that i is acted on behalf of in kth time iterative process,It indicates in kth time iterative process
The middle distributed power source output power for acting on behalf of i, σLoss,iThe Transmission loss for indicating load power, preferably, described
σLoss,iValue is 5% to the 7% of total load power.Indicate the distributed generation resource load that i is acted on behalf of in kth time iterative process
Power,Indicate the power shortage that i is acted on behalf of in+1 iterative process of kth；Indicate the generation in kth time iterative process
Manage the power shortage of j；wijExpression acts on behalf of i and acts on behalf of the communicative couplings coefficient between j, has communication line company when acting on behalf of i and acting on behalf of j
When connecing, wij≠ 0, otherwise wij=0；NiIndicate the set of energy-storage system number；
General power vacancy in power distribution network is obtained according to formula (2):
In formula, PMIndicate general power vacancy；nΔ(t)Agency's sum of control is participated in expression system；Indicate average one
The convergency value of cause property algorithm；ΔPM,iThe power shortage of i is acted on behalf of in expression；
Step 30) calculates the marginal charging cost of each energy-storage system, determines preset containing consistency value；
In second layer agency plant, shown in optimization aim and the constraint condition such as formula (3) of energy-storage system charging process:
In formula, PE,C,iIndicate the reference value of charge power；ηC,iIndicate the charge efficiency of i-th of energy-storage system；αiIt is i-th
First coefficient of a energy-storage system；βiIt is second coefficient of i-th of energy-storage system, PMIndicate general power vacancy；ΔPM,iIndicate generation
Manage the power shortage of i；PG,iThe distributed power source output power of i is acted on behalf of in expression；PL,iThe load power of i is acted on behalf of in expression；PLoss,iTable
Show the transmission loss power for acting on behalf of i；The lower limit value of i charge power reference value is acted on behalf of in expression,I charging function is acted on behalf of in expression
The upper limit value of rate reference value；
The marginal charging cost of each agency is calculated according to formula (4):
In formula, ρC,iIndicate that the marginal charging cost function of i is acted on behalf of in energy storage；PE,C,iIndicate the reference value of charge power；
Preset containing consistency value is determined according to formula (5):
In formula,Indicate the marginal charging cost that i is acted on behalf of in kth time iterative process；It indicates in kth time iteration mistake
The charge power reference value of i is acted on behalf of in journey；γiIt is the power shortage coefficient for acting on behalf of i；The side in an iterative process i is acted on behalf of in expression
The final value of border charging cost；Preset containing consistency value is indicated, when the asymptotic receipts of marginal charging cost of all energy-storage systems
It holds back in a common valueWhen, the objective function of formula (3) is optimal.
Step 40) makes each energy storage agency reach containing consistency by pinning control: being assisted by the distribution based on containing
Regulation system carries out the marginal charging cost optimization of energy-storage system, it is made to converge to preset containing homogeneity value；
According to the information interactive process for acting on behalf of i, obtain acting on behalf of i the distributed collaboration governing equation such as formula (6) based on containing
It is shown:
In formula,Indicate the marginal charging cost that i is acted on behalf of in+1 iterative process of kth；It indicates in kth time iteration
The marginal charging cost of j is acted on behalf of in the process；diIt is the pinning control gain for acting on behalf of i, di≥0；di=0 indicates to act on behalf of i without being directed to
Pinning control；
Using formula (7) and formula (8) to wijIt is updated:
In formula, Δ (t) indicates the variation of communication topology in power distribution network；λ indicates consistency constant, influences the double-deck consistency and calculates
The convergence property of method, and 0 < λ < 1；ni,Δ(t)It indicates to act on behalf of the quantity that i neighbours act on behalf of, nj,Δ(t)It indicates to act on behalf of the number that j neighbours act on behalf of
Amount, Ni,Δ(t)It indicates to act on behalf of the set that i neighbours act on behalf of.
The charge power of energy-storage system in step 50) adjustment power distribution network: optimized according to each agency that step 40) obtains
Marginal charging cost, and consider the charged state of energy-storage system, charge power reference value is adjusted according to formula (9):
In formula, ζiThe charged state of i is acted on behalf of in expression；The lower limit of i charged state is acted on behalf of in expression；Expression is acted on behalf of i and is filled
The upper limit of electricity condition；
The charged state ζ for acting on behalf of i is calculated according to formula (10)i:
In formula,Indicate the charged state that i is acted on behalf of in kth time iterative process；It indicates in -1 iterative process of kth
The middle charged state for acting on behalf of i；Indicate the charge power reference value that i is acted on behalf of in -1 iterative process of kth；It indicates
The charge efficiency of i is acted on behalf of in -1 iterative process of kth；Δ T indicates discrete time intervals；CE,iThe storage volume of i is acted on behalf of in expression.
The control method of the embodiment of the present invention can coordinate the efficiency for charge-discharge of energy-storage system in power distribution network, and height may be implemented
The distributed global information of effect is shared, and considers marginal charge and discharge cost and charging and discharging state, has good adaptivity, can
To meet the needs of distributed unit plug and play.
One embodiment is set forth below.
As shown in Fig. 2, the communication topology figure for the power distribution network analogue system that the present embodiment uses.The simulation model uses 33 sections
Point power distribution system network structure, including 6 groups of distributed generation resources (abbreviation DGs), 5 energy-storage systems (ESS1, ESS2, ESS3,
ESS4, ESS5), each energy-storage system accesses power distribution network by transformer.System has 5 distributed agents (Agent), uses respectively
A1, A2, A3, A4, A5 are indicated, respectively correspond each energy-storage system.Each agency can only with it in communication topology direct neighbor
Agency communicate, the information update period be 0.1 second.Based on power system computation machine Computer Aided Design/transient state containing direct solenoid
(English abbreviation: PSCAD/EMTDC) platform building power distribution network simulation model is emulated, at matrix labotstory (English abbreviation MATLAB)
Middle simulation multi-agent system establishes the double-deck consistency algorithm of multi-agent system, will using Fortran language compilation's interface routine
Algorithm and power system computation machine Computer Aided Design (English abbreviation PSCAD) model combined operating in MATLAB, to utilize connection
Close the simulating, verifying that emulation technology realizes control method of the invention.
It is emulated for system power fluctuation in power distribution network and communication topology variation both of these case, the verifying present invention
The control effect of method, i.e., distributed shared, the marginal charging cost of global information optimizes and the adjustment of energy-storage system charge power.This
Embodiment sets three simulating scenes:
Scene is first is that for load variations and fixed communication topology.When emulation starts, four storages of access in active distribution network
Energy system (ESS1, ESS2, ESS3, ESS4), and the communication line between A1 and A4 disconnects, and active distribution network operates in stabilization
State.When t=1s, load breaks down in active distribution network, and emergent power vacancy, distributed and coordinated control starts immediately.It is first
First, carry out global information sharing in first layer: each agency locally calculates power shortage, and is exchanged by average homogeneity algorithm
Information obtains system total power vacancy Δ PM=60kW；Then, the complete distributed coordination control based on containing is carried out in the second layer
System: the optimal solution by solving objective function, it is determined that preset containing consistency valueAnd it is based on pinning control
The marginal charging cost of all agencies is set to converge to preset containing consistency value；Finally, each agency is according to obtained optimization
Marginal charging cost afterwards, adjustment charge power reference value is respectively 13.96kW, 14.41kW, 22kW, 13.34kW.Emulation knot
Fruit is as shown in Figure 3.Wherein, Fig. 3 (a) indicates shared procedure of the power shortage information in each agency.From Fig. 3 (a) it can be seen that
Each agency is finally reached average homogeneity, obtains general power vacancy information.Fig. 3 (b) indicates the pinning control process of each agency.
From Fig. 3 (b) it can be seen that the marginal charging cost respectively acted on behalf of converges to preset containing consistency value.Fig. 3 (c) indicates each
The process of agency's adjustment charge power reference value.From Fig. 3 (c) it can be seen that each agency is according to the marginal charging cost after optimization
Respective charge power reference value is adjusted, to cooperate with increase charge power.
Scene for distributed generation resource power swing and communication line second is that switch.When emulation starts, in active distribution network
Four energy-storage systems (ESS1, ESS2, ESS3, ESS4) are accessed, and the communication line between A1 and A4 disconnects, active distribution network
Operate in stable state.When t=1s, the fluctuation of distributed generation resource emergent power generates power shortage, while connecting between A1 and A4
New communication line.Pass through the distributed and coordinated control based on the double-deck consistency algorithm, system total power vacancy Δ PM=50kW,
Preset containing consistency value The charge power reference value of adjustment is respectively 11.89kW, 12.10kW, 16.47kW,
9.54kW.Simulation result is as shown in Figure 4.Fig. 4 (a) indicates shared procedure of the power shortage information in each agency.Fig. 4 (b) table
Show the pinning control process of each agency.It can be seen from the figure that each agency can obtain general power by the double-deck consistency algorithm
Vacancy information makes marginal charging cost converge to preset containing consistency value；Due to increasing communication line, be communicatively coupled system
Number wijIt will do it update, the convergence rate of the double-deck consistency is than the fast convergence rate in scene one；Fig. 4 (c) indicates that each agency adjusts
The process of whole charge power reference value, each agency adjust respective charge power according to the marginal charging cost after optimization and refer to
Value, to cooperate with increase charge power.
Scene is third is that being directed to distributed generation resource and load variations and accessing new energy-storage system.When emulation starts, actively
An energy-storage system (ESS5) is newly accessed in power distribution network, corresponding agency is A5, and communication topology changes.When t=1s, by dividing
Cloth power fluctuation and load variations and generate power shortage, distributed and coordinated control starts to start.Firstly, since access
New energy-storage system carries out identity update and communicative couplings coefficient updates, it is only necessary to which the neighbours of A5, which act on behalf of, carries out information update
?；Then the sharing of system total power vacancy is carried out in first layer and carry out the distributed coordination based on containing in the second layer
Control, obtains system total power vacancy Δ PM=80kW, preset containing consistency valueThe charging function finally adjusted
Rate reference value is respectively 16.82kW, 16.06kW, 14.18kW, 16.90kW, 16.04kW.Simulation result is as shown in Figure 5.Fig. 5
(a) shared procedure of the power shortage information in each agency is indicated.Fig. 5 (b) indicates the pinning control process of each agency.From figure
As can be seen that each agency can obtain general power vacancy information by the double-deck consistency algorithm, converge to marginal charging cost
Preset containing consistency value；But the access operation due to carrying out energy-storage system, communication topology variation is complicated, double-deck consistent
The convergence rate of property is slower than the convergence rate in scene one.Fig. 4 (c) indicates the process of each agency's adjustment charge power reference value,
Each agency adjusts respective charge power reference value according to the marginal charging cost after optimization, so that increase charge power is cooperateed with,
Illustrate that method of the invention can adaptively be carried out when carrying out acting on behalf of access operation.
It can be seen that scene one can illustrate that method of the invention is able to solve the unbalanced power as caused by load variations and asks
Topic, scene two can illustrate that method of the invention is able to solve unbalanced power problem caused by power-supply fluctuation causes and communication line
Road variation issue, scene three can illustrate that method of the invention is able to solve power caused by load variations and power-supply fluctuation simultaneously not
Equilibrium problem and power supply plug and play problem.
From the present embodiment as can be seen that after using control method of the invention, active distribution network can coordinate power distribution network storage
It is shared that efficient distributed global information may be implemented in the charge efficiency of energy system, and considers marginal charging cost and the shape that charges
State carries out charge efficiency optimization, has good adaptivity, can satisfy the demand of distributed unit plug and play, explanation
Method proposed by the present invention has control effect well.
Claims (4)
1. a kind of for coordinating the distributed control method of power distribution network energy-storage system efficiency for charge-discharge, which is characterized in that described to match
Power grid uses multi-agent system, and multi-agent system includes two layers: first layer agency plant is for realizing distributed global letter
Breath acquisition and shared information sharing layer；Second layer agency plant is the coordination for realizing distributed energy storage system based on containing
Control layer；N agency is shared in multi-agent system, each energy-storage system corresponding one is acted on behalf of, the number of energy-storage system and with this
The number of the corresponding agency of energy-storage system is identical；Each agency obtains global information by first layer agency plant, passes through the second layer
Agency plant is directly realized by the distributed collaboration control of energy-storage system；As charge power reference value PE,C,iWhen < 0, as discharged
Journey；
The control method includes the following steps:
Step 10) calculates local power shortage: when power swing occurs for power distribution network, multi-agent system monitors entire power distribution network
Power disturbance, obtain the power shortage of each agency；
Step 20) realizes the shared of power shortage, obtains system total power vacancy；
Step 30) calculates the marginal charging cost of each energy-storage system, determines preset containing consistency value；The step
30) it specifically includes:
In second layer agency plant, shown in optimization aim and the constraint condition such as formula (3) of energy-storage system charging process:
In formula, PE,C,iIndicate the reference value of charge power；ηC,iIndicate the charge efficiency of i-th of energy-storage system；αiIt is i-th of storage
First coefficient of energy system；βiIt is second coefficient of i-th of energy-storage system, PMIndicate general power vacancy；ΔPM,iExpression acts on behalf of i's
Power shortage；PG,iThe distributed power source output power of i is acted on behalf of in expression；PL,iThe load power of i is acted on behalf of in expression；PLoss,iIndicate generation
Manage the transmission loss power of i；The lower limit value of i charge power reference value is acted on behalf of in expression,I charge power ginseng is acted on behalf of in expression
Examine the upper limit value of value；
The marginal charging cost of each agency is calculated according to formula (4):
In formula, ρC,iIndicate that the marginal charging cost function of i is acted on behalf of in energy storage；PE,C,iIndicate the reference value of charge power；
Preset containing consistency value is determined according to formula (5):
In formula,Indicate the marginal charging cost that i is acted on behalf of in kth time iterative process；It indicates in kth time iterative process
Act on behalf of the charge power reference value of i；γiIt is the power shortage coefficient for acting on behalf of i；I is acted on behalf of in expression, and limit is filled in an iterative process
The final value of electric cost；Preset containing consistency value is indicated, when the marginal charging cost of all energy-storage systems is asymptotically convergent to
One common valueWhen, the objective function of formula (3) is optimal；
Step 40) makes each energy storage agency reach containing consistency by pinning control；The step 40) specifically includes: passing through
Distributed and coordinated control based on containing carries out the marginal charging cost optimization of energy-storage system, it is made to converge to preset containing
Homogeneity value；
According to the information interactive process for acting on behalf of i, obtain acting on behalf of shown in distributed collaboration governing equation such as formula (6) of the i based on containing:
In formula,Indicate the marginal charging cost that i is acted on behalf of in+1 iterative process of kth；It indicates in kth time iterative process
The middle marginal charging cost for acting on behalf of j；diIt is the pinning control gain for acting on behalf of i, di≥0；di=0 indicates to act on behalf of i without being directed to
Pinning control；wijExpression acts on behalf of i and acts on behalf of the communicative couplings coefficient between j, has communication line to connect with j is acted on behalf of when acting on behalf of i
When, wij≠ 0, otherwise wij=0；
Using formula (7) and formula (8) to wijIt is updated:
In formula, Δ (t) indicates the variation of communication topology in power distribution network；λ indicates consistency constant, influences the double-deck consistency algorithm
Convergence property, and 0 < λ < 1；ni,Δ(t)It indicates to act on behalf of the quantity that i neighbours act on behalf of, nj,Δ(t)It indicates to act on behalf of the quantity that j neighbours act on behalf of,
Ni,Δ(t)It indicates to act on behalf of the set that i neighbours act on behalf of；
Step 50) adjusts the charge power of energy-storage system in power distribution network.
2. it is described in accordance with the claim 1 for coordinating the distributed control method of power distribution network energy-storage system efficiency for charge-discharge,
It is characterized in that, the step 20) specifically includes:
In first layer agency plant, distributed global information is carried out based on average homogeneity algorithm and is shared, realizes general power vacancy
It is shared in multi-agent system；
Act on behalf of using formula (1) shared procedure of power shortage, until the power shortage of all agencies reaches average homogeneity
Property when, it is shared in multi-agent system to complete power shortage:
In formula,Indicate the power shortage that i is acted on behalf of in kth time iterative process,Indicate the generation in kth time iterative process
Manage the distributed power source output power of i, σLoss,iIndicate the Transmission loss of load power,It indicates in kth time iteration mistake
The distributed generation resource load power of i is acted on behalf of in journey,Indicate the power shortage that i is acted on behalf of in+1 iterative process of kth；Indicate the power shortage that j is acted on behalf of in kth time iterative process；wijExpression acts on behalf of i and acts on behalf of the communicative couplings system between j
Number, when acting on behalf of i with acting on behalf of j and thering is communication line to connect, wij≠ 0, otherwise wij=0；NiIndicate the set of energy-storage system number；
General power vacancy in power distribution network is obtained according to formula (2):
In formula, PMIndicate general power vacancy；nΔ(t)Agency's sum of control is participated in expression system；Indicate average homogeneity
The convergency value of algorithm；ΔPM,iThe power shortage of i is acted on behalf of in expression.
3. it is described in accordance with the claim 1 for coordinating the distributed control method of power distribution network energy-storage system efficiency for charge-discharge,
It is characterized in that, the step 50) specifically includes: according to the marginal charging cost for each agency optimization that step 40) obtains, and
In view of the charged state of energy-storage system, charge power reference value is adjusted according to formula (9):
In formula, ζiThe charged state of i is acted on behalf of in expression；The lower limit of i charged state is acted on behalf of in expression；I charged state is acted on behalf of in expression
The upper limit；
The charged state ζ for acting on behalf of i is calculated according to formula (10)i:
In formula,Indicate the charged state that i is acted on behalf of in kth time iterative process；Indicate the generation in -1 iterative process of kth
Manage the charged state of i；Indicate the charge power reference value that i is acted on behalf of in -1 iterative process of kth；It indicates in kth -1
The charge efficiency of i is acted on behalf of in secondary iterative process；Δ T indicates discrete time intervals；CE,iThe storage volume of i is acted on behalf of in expression.
4. according to claim 2 for coordinating the distributed control method of power distribution network energy-storage system efficiency for charge-discharge,
It is characterized in that, the σLoss,iValue is 5% to the 7% of total load power.
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