CN116780529B - Power distribution network fault recovery method, device, equipment and medium - Google Patents
Power distribution network fault recovery method, device, equipment and medium 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
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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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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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
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
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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
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Abstract
The invention belongs to the technical field of power system automation, and particularly relates to a power distribution network fault recovery method, a device, equipment and a medium, wherein the power distribution network fault recovery method is implemented by taking the maximum load recovery amount of all nodes in a target power distribution network as a target function; and solving the objective function, the distributed power supply power generation proportion model and the transferable load model based on the constraint condition to obtain a power distribution network fault recovery strategy. The power grid energy storage method has the advantages that the source network load storage is utilized to cooperate, the proportion of a fan to photovoltaic power generation is adjusted to face different extreme weather, power type energy storage is introduced to stabilize early distributed power supply power fluctuation, meanwhile, controllable loads are utilized to cut down partial loads, the partial loads are fitted with a system load curve, energy waste caused by wind abandon and light abandon is reduced, the supportability of a power grid during faults is improved, fault recovery time is shortened, and the recovery capacity of a power distribution network is improved.
Description
Technical Field
The invention belongs to the technical field of power system automation, and particularly relates to a power distribution network fault recovery method, device, equipment and medium.
Background
Along with frequent disasters caused by extreme weather, large-scale power failure accidents of the power grid are also frequent, so that huge economy is caused, and normal production and living of people are greatly disturbed. The power distribution network is quickly recovered after faults occur, and has great significance for normal life of people and normal production of society. Compared with the traditional power distribution network, the novel power distribution network has the advantages that the renewable energy access proportion is greatly increased, the power is supplied in multiple modes, and along with the massive penetration of a distributed power supply (DG) in the power distribution network, how to fully utilize the distributed power supply to restore power supply to a power failure area becomes a research hot spot of the power grid in recent years. The load demand characteristics can be transferred flexibly, and the load demand characteristics can be flexibly distributed among the specified time intervals, so that the load curve can cut peaks and fill valleys, and when faults occur, partial load is reduced, and the important node load is transferred.
Wind power and photovoltaic power generation are widely used as clean distributed power sources, but as the power generation efficiency of the new energy sources is closely related to the environment, once extreme weather occurs, the output power of a fan and photovoltaic can be affected, and the output has uncertainty. In addition, in the previous fault recovery research, in the face of suddenly increased load demands, generally, the climbing capability of a distributed power supply and energy storage is assumed to be extremely strong, the difference of the load following capability of the distributed power supply and the energy storage is ignored, so that the fault recovery capability of a power distribution network is weaker, and the potential of the distributed power supply cannot be fully exerted.
Disclosure of Invention
The application aims to provide a power distribution network fault recovery method, device, equipment and medium, which are used for solving the problem that in the prior art, the power distribution network fault recovery strategy ignores the difference of the load following capability of a distributed power supply and energy storage, so that the power distribution network fault recovery capability is weaker.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in a first aspect, the present invention provides a power distribution network fault recovery method, including the following steps:
determining the load quantity to be recovered after the fault of the target power distribution network;
Constructing an objective function based on the load quantity to be recovered; the objective function aims at the maximum load recovery quantity and the maximum distributed power supply utilization rate of all nodes in the target power distribution network;
acquiring a pre-constructed distributed power supply power generation proportion model, and determining the primary power generation proportion of a distributed power supply in the distributed power supply power generation proportion model according to weather conditions;
determining an interruptible load in a target power distribution network, and constructing a transferable load quantity model based on the interruptible load;
determining constraint conditions, including topology constraint of a power distribution network, system power flow constraint and system safety constraint, and operation constraint of the power distribution network;
and solving the objective function, the distributed power supply power generation proportion model and the transferable load model based on the constraint condition to obtain a power distribution network fault recovery strategy.
Specifically, the objective function is as follows:
Where L represents the set of all load nodes, w i represents the importance of the load at node i, And the variable is 0-1, the values are 1 and 0, the load recovery and the non-recovery are respectively represented, P i,t represents the load recovery amount of the i-node in the t period, and lambda DG represents the utilization rate of the distributed power supply.
Specifically, when solving the objective function, the distributed power generation proportion model and the transferable load quantity model based on constraint conditions, a variance evaluation standard is also set, and the deviation degree of the load demand and the load output is minimized when solving.
Specifically, the system safety constraints include an operating voltage constraint and a branch capacity constraint; the operation constraints of the power distribution network comprise distributed energy constraints and energy storage constraints.
Specifically, islands are formed after the power distribution network fails, after the step of obtaining a power distribution network failure recovery strategy, power distribution network failure recovery is performed, and each recovered island is sequentially connected to a main network according to a preset island priority.
Specifically, in the step of sequentially accessing each recovered island to the main network according to a preset island priority, the preset island priority includes:
Determining a first score of the island according to the distance between the island and the main network;
determining a second score of the island according to faults inside and outside the island;
Determining a third score of the island according to the energy storage and the distributed energy capacity in the island;
determining a fourth score for the island according to the controllable load amount within the island;
Determining the total score of the island according to the first score, the second score, the third score and the fourth score;
and determining the priority of the island according to the total score of the island.
Specifically, solving the objective function, the distributed power generation ratio model and the transferable load model based on constraint conditions specifically comprises:
Firstly, loosening the operation constraint of a power distribution network and the topology constraint of the power distribution network by using a large M method to ensure that the active power, reactive power and line current of an open branch are zero and the closed branch is not constrained; and then calling a solving tool to solve.
In a second aspect, the present invention provides a fault recovery apparatus for a power distribution network, including:
The first determining module is used for determining the load quantity to be recovered after the fault of the target power distribution network;
The objective function construction module is used for constructing an objective function based on the load quantity to be recovered; the objective function aims at the maximum load recovery quantity and the maximum distributed power supply utilization rate of all nodes in the target power distribution network;
The second determining module is used for obtaining a pre-built distributed power supply power generation proportion model and determining the preliminary power generation proportion of the distributed power supply in the distributed power supply power generation proportion model according to weather conditions;
The third determining module is used for determining the interruptible load in the target power distribution network and constructing a transferable load quantity model based on the interruptible load;
the fourth determining module is used for determining constraint conditions, including topology constraint of the power distribution network, system power flow constraint and system safety constraint, and operation constraint of the power distribution network;
and the solving module is used for solving the objective function, the distributed power supply power generation proportion model and the transferable load model based on the constraint condition to obtain a power distribution network fault recovery strategy.
In a third aspect, the present invention provides an electronic device, including a processor and a memory, where the processor is configured to execute a computer program stored in the memory to implement a power distribution network fault recovery method as described above.
In a fourth aspect, the present invention provides a computer readable storage medium storing at least one instruction that when executed by a processor implements a power distribution network fault recovery method as described above.
Compared with the prior art, the invention has the following beneficial effects:
The invention provides a power distribution network fault recovery method, which utilizes the cooperation of source network and load storage to adjust the proportion of a fan and photovoltaic power generation to face different extreme weather, introduces power type energy storage to stabilize early distributed power supply power fluctuation, simultaneously utilizes controllable load to reduce partial load, fits with a system load curve, reduces energy waste caused by wind and light abandoning, improves the supportability of a power grid during faults, shortens fault recovery time and improves the recovery capacity of the power distribution network.
According to the invention, the power supply, the power distribution network, the load and the energy storage are comprehensively considered by utilizing the synergistic effect of the source network and the load storage, the power generation proportion of the distributed power supply is considered according to extreme weather conditions, island grades are classified according to faults and other conditions, the controllable load is regulated by the output of the distributed power supply and the predicted load curve, the output of the power type energy storage is regulated according to the climbing limit of the distributed power supply and the energy type energy storage, and the four parts are mutually connected and mutually cooperated;
According to the invention, under extreme disaster weather, the power generation proportion of the fan and the photovoltaic in the distributed power supply is formulated in advance, so that a distributed power supply power generation model is established, the maximum power generation capacity of the distributed power supply is ensured, and the possibility that the fan and the photovoltaic are trawl to the extreme disaster weather is reduced;
The invention classifies the islands, focuses on the recovery condition of the islands with lower grades in fault recovery, orderly accesses the islands into the main network according to the grade after the fault recovery is finished, ensures more load recovery in the fault recovery process, ensures the order of accessing the main network, and reduces the time of accessing the main network after the fault recovery;
The invention utilizes the rapid power support of the power type energy storage, is put into operation when the output requirement of the distributed power supply is increased, not only can stabilize part of power fluctuation, but also shortens the time of fault recovery, and simultaneously, the output of the power supply is fitted with a load requirement curve as much as possible by the adjustment of the controllable load, so that the recovery efficiency is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:
Fig. 1 is a flowchart of a power distribution network fault recovery method provided by an embodiment of the present invention;
FIG. 2 is a diagram of IEEE33 nodes provided by an embodiment of the present invention;
FIG. 3 is an island level division diagram provided by an embodiment of the present invention;
FIG. 4 is a schematic diagram of a strategy 1,2 distributed power generation comparison provided by an embodiment of the present invention;
fig. 5 is a comparison chart of load recovery amounts of policies 1 and 2 according to an embodiment of the present invention;
fig. 6 is a block diagram of a fault recovery apparatus for a power distribution network according to an embodiment of the present invention;
Fig. 7 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The application will be described in detail below with reference to the drawings in connection with embodiments. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
The following detailed description is exemplary and is intended to provide further details of the application. Unless defined otherwise, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the application.
Example 1
As shown in fig. 1, a power distribution network fault recovery method includes the following steps:
S1, determining the load quantity to be recovered after the fault of the target power distribution network.
S2, constructing an objective function based on the load quantity to be recovered; the objective function aims at the maximum load recovery amount and the maximum distributed power utilization rate of all nodes in the target power distribution network.
Specifically, the objective function is constructed as follows:
Where L represents the set of all load nodes, w i represents the importance of the load at node i, And the variable is 0-1, the values are 1 and 0, the load recovery and the non-recovery are respectively represented, P i,t represents the load recovery amount of the i-node in the t period, and lambda DG represents the utilization rate of the distributed power supply.
S3, acquiring a pre-constructed distributed power supply power generation proportion model, and determining the primary power generation proportion of the distributed power supply in the distributed power supply power generation proportion model according to weather conditions.
Specifically, the established distributed power generation proportion model is as follows:
Pt DG＝λ1Pt WT+λ2Pt PV
Wherein P t DG represents the power generation amount of the t-period distributed power supply, lambda 1、λ2 is the power generation proportion of the fan and the photovoltaic respectively, lambda 1+λ2＝1,Pt WT represents the power generation amount of the t-period wind driven generator, and P t PV represents the power generation amount of the t-period photovoltaic power supply.
Initial power generation:
Pt＝Pt DG+Pt sc
Wherein P t DG represents the power generated by the t-period distributed power supply, and P t sc represents the power generated by the t-period power-type energy storage power generation.
S4, determining an interruptible load in the target power distribution network, and constructing a transferable load quantity model based on the interruptible load.
Specifically, the transferable load model is constructed as follows:
In the method, in the process of the invention, Represents the maximum power of the interruptible load, eta represents the transferable load coefficient, omega ch represents the transferable load node set, mu epsilon (0, 1),/>Representing the amount of load recovery required for the t period.
S5, determining constraint conditions including topology constraint of the power distribution network, system power flow constraint and system safety constraint and operation constraint of the power distribution network.
Specifically, the system safety constraints include an operating voltage constraint and a branch capacity constraint; the operation constraints of the power distribution network comprise distributed energy constraints and energy storage constraints.
In some alternative embodiments, the distribution network topology constraints are as follows:
Where b ij,t、bji,t represents the child-parent relationship between the node i and the node j in the period t, if the node j is the parent node of the node i, then b ij＝1,bji =0, whereas b ji＝1,bij =0, if the node i is not connected to the node j, then b ij＝bji =0, Ω represents a set of all nodes, Ω G represents a set of failed nodes, a ij,t represents the power-on state of the line ij in the period t, and the power-on is 1, whereas it is 0.
In some alternative embodiments, the system power flow constraints are as follows:
Where I ij,t represents the magnitude of the current flowing through the branch ij in the t period, U t,i represents the magnitude of the voltage at the node I in the t period, r ki represents the resistance of the branch ki, x ki represents the reactance of the branch ki, P ij,t、Qij,t represents the active power and reactive power transmitted by the line ij in the t period respectively, Respectively representing active power and reactive power of a distributed power supply injected into a node i in a t period; /(I)Respectively representing active power and reactive power released by energy storage at a node i in a t period; /(I)Representing the active power and reactive power consumed by the load on node i in the t period respectively.
In some alternative embodiments, the system security constraints include an operating voltage constraint and a bypass capacity constraint, wherein:
Operating voltage constraints:
Wherein, And/>Respectively representing the minimum and maximum voltage which can be born by the node i;
the branch capacity constraint is:
Wherein, Representing the maximum current that the branch ij can pass.
In some alternative embodiments, the operational constraints of the power distribution network include:
distributed energy constraint:
In the method, in the process of the invention, Respectively representing active power and reactive power emitted by a power supply at an i node in a t period; representing the upper and lower limits of the power supply active force at the i node in the t period; /(I) And accessing the capacity of the power supply for the inode.
Energy storage constraint:
Ptbs＝Ptbs,d-Ptbs,c
Ptbs,d,min≤Ptbs,d≤Ptbs,d,max
Ptbs,c,min≤Ptbs,c≤Ptbs,c,max
Ptsc,min≤Ptsc≤Ptre
Pt sc+Pt bs＝Pt ESS
Wherein, P t bs represents the power of the storage battery energy storage system injected into the power grid in the t period, P t bs,c、Pt bs,d represents the charge and discharge power of the storage battery energy storage system in the t period, P t bs,d,min、Pt bs,d,max represents the upper and lower limits of the discharge power, P t bs,c,min、Pt bs,c,max represents the upper and lower limits of the charge power, P t sc,min represents the lower limit of the power type energy storage and discharge, For the energy storage charge and discharge power at the i node in the time period t, the charge power is positive, the discharge power is negative,/>Is the capacity of the stored energy at the inode.
And S6, solving the objective function, the distributed power supply power generation proportion model and the transferable load model based on constraint conditions to obtain a power distribution network fault recovery strategy.
The solving step specifically comprises the following steps: firstly, loosening the operation constraint of a power distribution network and the topology constraint of the power distribution network by using a large M method to ensure that the active power, reactive power and line current of an open branch are zero and the closed branch is not constrained; and then calling a solving tool to solve.
Further specifically, introduceAnd/>Replace/>And/>The large M method is used for relaxing the operation constraint of the power distribution network and the topology constraint of the power distribution network, so that the active power, reactive power and line current of an open branch are zero, and the closed branch is unconstrained:
It can be understood that an island is formed after the power distribution network fails, in order to ensure the integrity of the main network, the island range is determined by searching whether a distributed power source exists near the failure, under the condition of considering the output of the distributed energy source and energy storage, the load side requirement and the controllable load characteristic are considered, the controllable load is distributed into the island as uniformly as possible, and the internal regulation capability of the island is improved.
In some alternative embodiments, the islands are ranked, the distributed energy sources and the energy storage output are higher, the surrounding faults are fewer, the self-load requirements are met, and the islands with the residual power are listed as higher priority.
In some alternative embodiments, after the step of obtaining the power distribution network fault recovery policy, performing power distribution network fault recovery, and sequentially accessing each recovered island into the main network according to a preset island priority.
Specifically, the preset island priority determining method includes: determining a first score of the island according to the distance between the island and the main network; determining a second score of the island according to faults inside and outside the island; determining a third score of the island according to the energy storage and the distributed energy capacity in the island; determining a fourth score for the island according to the controllable load amount within the island; determining the total score of the island according to the first score, the second score, the third score and the fourth score; and determining the priority of the island according to the total score of the island.
It will be appreciated that when designing the criteria of the first score to the fourth score, a scoring interval may be set, for example, setting distance criteria of different levels, and obtaining a corresponding score when the distances of different levels are satisfied.
In some alternative embodiments, when solving the objective function, the distributed power generation ratio model and the transferable load model based on constraint conditions, a variance evaluation standard is further set, and when solving, the deviation degree of the load demand and the load output is minimized.
It will be appreciated that the purpose of establishing the variance criterion is to achieve the digestion of the distributed power supply, fit the expected load curve, and introduce variances to represent the degree of deviation of load demand from load output:
where n represents the time to fail-over, Representing load demand.
Another embodiment of the present disclosure provides a fault recovery method for a power distribution network, by studying a synergistic effect among a distributed power source, an energy storage device, and a transferable load, analyzing an output capability of the distributed power source, and an adjustable range of the transferable load, effectively improving a load recovery amount, and reducing a power fluctuation of a pre-recovery distributed power source, including the following steps:
And step 10, acquiring fault information of a target power distribution network, and establishing an objective function, a distributed power supply power generation proportion model and a transferable load model.
Specifically, the fault information may include data such as extreme weather conditions, load to be recovered, power generation of the distributed power source, transferable load, and energy storage and power generation.
The objective function established in this scheme is as follows:
where L represents the set of all load nodes, w i represents the importance of the load at node i, And the variable is 0-1, the values are 1 and 0, the load recovery and the non-recovery are respectively represented, P i,t represents the load recovery amount of the i-node in the t period, and lambda DG represents the utilization rate of the distributed power supply.
And 20, preliminarily making the power generation proportion of the fan and the photovoltaic in the distributed power supply according to extreme weather conditions.
It should be noted that, the preliminary power generation proportion is formulated according to extreme weather conditions, for example, in weather, the photovoltaic power generation proportion is reduced, and in windless sunny days, the photovoltaic power generation proportion is improved.
Specifically, a distributed power supply power generation proportion model is established as follows:
Pt DG＝λ1Pt WT+λ2Pt PV
Wherein P t DG represents the power generation amount of the t-period distributed power supply, lambda 1、λ2 is the power generation proportion of the fan and the photovoltaic respectively, lambda 1+λ2＝1,Pt WT represents the power generation amount of the t-period wind driven generator, and P t PV represents the power generation amount of the t-period photovoltaic power supply.
Step 30) utilizing the synergic action of the source network load storage to formulate a fault recovery strategy.
Adding power type energy storage into the distributed power supply according to the load recovery amount, and adjusting the transferable load amount, wherein the method specifically comprises the following steps of:
In the face of the initial sudden increase of load recovery quantity, the load demand cannot be met in time due to the limitation of the power of the distributed energy climbing, and the power fluctuation is quickly stabilized and the initial power generation capacity is improved by utilizing the property of the power type energy storage super capacitor.
Power generation in t period:
Pt＝Pt DG+Pt sc
where P t represents the generated power of the t period, P t DG represents the generated power of the t period distributed power source, and P t sc represents the power type stored power of the t period.
In the recovery process, the load is divided into a first load, a second load and a third load according to the importance degree of recovery, the first load is recovered preferentially, and a load recovery set is established according to the importance degree of the load:
In the method, in the process of the invention, Representing the load recovery set, w i,t represents the load importance degree, and P i,t represents the i node load recovery amount of the t period.
The transferable load model is built as follows:
In the method, in the process of the invention, Representing the load transfer amount in t period,/>Representing the load transfer amount of inode in t period,/>Represents the maximum power of the interruptible load, eta represents the transferable load coefficient, omega ch represents the set of transferable load nodes, mu epsilon (0, 1),Representing the required load recovery amount for the period t, P t represents the initial generated power.
Meanwhile, in order to realize the consumption of the distributed power supply, an expected load curve is fitted, and variance is introduced to represent the deviation degree of load demand and load output:
Where k represents the degree of deviation, n represents the fault recovery time, Representing the load demand, P ESS represents the load amount of all the stored energy as a whole, and P t represents the generated power in the t period.
And 40) solving an objective function, a distributed power supply power generation proportion model and a transferable load model to obtain a power distribution network fault recovery method.
The topology constraint of the distribution network, the system power flow constraint and the system safety constraint are established as follows:
Topology constraints of the power distribution network:
Where b ij,t、bji,t represents the child-parent relationship between the node i and the node j in the period t, if the node j is the parent node of the node i, then b ij＝1,bji =0, whereas b ji＝1,bij =0, if the node i is not connected to the node j, then b ij＝bji =0, Ω represents a set of all nodes, Ω G represents a set of failed nodes, a ij,t represents the power-on state of the line ij in the period t, and the power-on is 1, whereas it is 0.
And (3) constraint of system tide:
Wherein P ki,t represents the active power transmitted by the t-period line ki, P t,i represents the active power transmitted by the t-period inode, Q ki,t represents the reactive power transmitted by the t-period line ki, Q t,i represents the reactive power transmitted by the t-period inode, a t,i represents the load on-off relationship of the t-period inode, U t,j represents the voltage of the t-period inode, P t,ij represents the active power transmitted by the t-period line ij, r ij represents the resistance of the branch ij, x ij represents the reactance of the branch ij, Q t,ij represents the reactive power transmitted by the t-period line ij, Representing the square of the current flowing through the branch ij during the t period, a ij,t represents the energized state of the line ij during the t period, r ki represents the resistance of the branch ki, I ij,t represents the magnitude of the current flowing through the branch ij during the t period, P ij,t、Qij,t represents the active power and the reactive power transmitted by the line ij during the t period, x ki represents the reactance of the branch ki,/>Representing active power and reactive power of distributed power supply injected into node i in t period respectively,/>, andRepresenting the active power and reactive power released by the energy storage at node i during the t period,/>, respectivelyRepresenting the active power and reactive power consumed by the load on node i in the t period, respectively, U t,i represents the voltage magnitude at node i in the t period,
The system safety constraints include an operating voltage constraint and a branch capacity constraint, wherein:
Operating voltage constraints:
Wherein, And/>Respectively representing the minimum and maximum voltage which can be born by the node i;
the branch capacity constraint is:
Wherein, Representing the maximum current that the branch ij can pass.
The operation constraint of the power distribution network is established and comprises distributed energy constraint, energy storage constraint and transferable load constraint, and the method specifically comprises the following steps: distributed energy constraint:
In the method, in the process of the invention, Respectively representing active power and reactive power emitted by a power supply at an i node in a t period; representing the upper and lower limits of the power supply active force at the i node in the t period; /(I) And accessing the capacity of the power supply for the inode.
Energy storage constraint:
Pt bs＝Pt bs,d-Pt bs,c
Pt bs,d,min≤Pt bs,d≤Pt bs,d,max
Pt bs,c,min≤Pt bs,c≤Pt bs,c,max
Pt sc,min≤Pt sc≤Pt re
Pt sc+Pt bs＝Pt ESS
Wherein, P t bs represents the power of the storage battery energy storage system injected into the power grid in the t period, P t bs,c、Pt bs,d represents the charge and discharge power of the storage battery energy storage system in the t period, P t bs,d,min、Pt bs,d,max represents the upper and lower limits of the discharge power, P t bs,c,min、Pt bs,c,max represents the upper and lower limits of the charge power, P t sc,min represents the lower limit of the power type energy storage and discharge, For the energy storage charge and discharge power at the i node in the time period t, the charge power is positive, the discharge power is negative,/>For the capacity of energy storage at inode,/>Representing transferable payload volume,/>Representing the active power of the stored energy,/>Representing the reactive power of the stored energy.
Solving an objective function, a distributed power supply power generation proportion model and a transferable load model:
Introducing variables And/>Replace/>And/>The large M method is used for relaxing the operation constraint of the power distribution network and the topology constraint of the power distribution network, so that the active power, reactive power and line current of an open branch are zero, and the closed branch is unconstrained:
In the method, in the process of the invention, And/>Respectively, the sum of the squares of the voltages at the inode of the t-period and the squares of the current flowing through the branch ij, M represents an infinite number, a ij represents the energized state of the line ij of the t-period,/>Representing the square of the voltage at node j of period t, Q ij,t、Qt,ij represents the reactive power transmitted by line ij of period t,
When solving, the method can adopt YAMIP programming, CPLEX, MOSEK and other software to solve.
In order to verify the effectiveness of the power distribution network fault recovery method, the scheme provides a specific example: with the improved ieee33 node distribution network as shown in fig. 2, the distribution network lines 6-7, 19-20, 31-32 are broken down and disconnected from the main network in case of extreme weather of heavy rain, and the expected outage time is four hours.
Strategy 1: after receiving the storm disaster message, the fault recovery method provided by the invention adjusts the power generation proportion of the photovoltaic and the fan, inputs power type energy storage at the initial stage of fault recovery, regulates and controls controllable load, divides island grades according to divided islands, and closes related connecting lines. And after the fault recovery is finished, accessing the main network according to the island grade order.
Strategy 2: after the disaster message is received, the power generation proportion is not regulated, power generation is still carried out according to the original output, power type energy storage is not considered, energy type energy storage is only released, controllable load is not considered, normal island division is carried out, and the main network is accessed after recovery.
Analysis of the example graph: as can be seen from fig. 4, compared with the strategy 2, the addition of the power type energy storage of the strategy 1 compensates the climbing limitation of the distributed power supply when larger power supply output is needed in the earlier stage, and improves the early load recovery amount; as can be seen from fig. 5, regardless of the controllable load regulation and the power-type energy storage, the load recovery amount of strategy 2 is lower than that of strategy 1, and the load recovery curve of strategy 1 is more fit to the expected load recovery amount. It can be concluded that: the failure recovery scheme of the source network load storage coordination is considered, so that the early load recovery amount is improved, the power supply of the early important load is ensured, and the load recovery efficiency is improved.
Example 2
As shown in fig. 6, based on the same inventive concept as the above embodiment, the present invention further provides a power distribution network fault recovery apparatus, including:
The first determining module is used for determining the load quantity to be recovered after the fault of the target power distribution network;
The objective function construction module is used for constructing an objective function based on the load quantity to be recovered; the objective function aims at the maximum load recovery quantity and the maximum distributed power supply utilization rate of all nodes in the target power distribution network;
The second determining module is used for obtaining a pre-built distributed power supply power generation proportion model and determining the preliminary power generation proportion of the distributed power supply in the distributed power supply power generation proportion model according to weather conditions;
The third determining module is used for determining the interruptible load in the target power distribution network and constructing a transferable load quantity model based on the interruptible load;
the fourth determining module is used for determining constraint conditions, including topology constraint of the power distribution network, system power flow constraint and system safety constraint, and operation constraint of the power distribution network;
and the solving module is used for solving the objective function, the distributed power supply power generation proportion model and the transferable load model based on the constraint condition to obtain a power distribution network fault recovery strategy.
Example 3
As shown in fig. 7, the present invention further provides an electronic device 100 for implementing the power distribution network fault recovery method of embodiment 1; the electronic device 100 comprises a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.
The memory 101 may be used to store a computer program 103, and the processor 102 implements a power distribution network fault recovery method step of embodiment 1 by running or executing the computer program stored in the memory 101 and invoking data stored in the memory 101.
The memory 101 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data) created according to the use of the electronic device 100, and the like. In addition, memory 101 may include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart memory card (SMART MEDIA CARD, SMC), secure Digital (SD) card, flash memory card (FLASH CARD), at least one disk storage device, flash memory device, or other non-volatile solid-state storage device.
The at least one Processor 102 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The processor 102 may be a microprocessor or the processor 102 may be any conventional processor or the like, the processor 102 being a control center of the electronic device 100, the various interfaces and lines being utilized to connect various portions of the overall electronic device 100.
The memory 101 in the electronic device 100 stores a plurality of instructions to implement a power distribution network fault recovery method, and the processor 102 may execute the plurality of instructions to implement:
and determining the load quantity to be recovered after the fault of the target power distribution network.
Constructing an objective function based on the load quantity to be recovered; the objective function aims at the maximum load recovery amount and the maximum distributed power utilization rate of all nodes in the target power distribution network.
And acquiring a pre-constructed distributed power supply power generation proportion model, and determining the primary power generation proportion of the distributed power supply in the distributed power supply power generation proportion model according to weather conditions.
And determining an interruptible load in the target power distribution network, and constructing a transferable load quantity model based on the interruptible load.
And determining constraint conditions, including topology constraint of the power distribution network, system power flow constraint and system safety constraint, and operation constraint of the power distribution network.
And solving the objective function, the distributed power supply power generation proportion model and the transferable load model based on the constraint condition to obtain a power distribution network fault recovery strategy.
Example 4
The modules/units integrated with the electronic device 100 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as a stand alone product. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the steps of each method embodiment described above may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, and a Read-Only Memory (ROM).
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (8)
1. The power distribution network fault recovery method is characterized by comprising the following steps of:
determining the load quantity to be recovered after the fault of the target power distribution network;
Constructing an objective function based on the load quantity to be recovered; the objective function aims at the maximum load recovery quantity and the maximum distributed power supply utilization rate of all nodes in the target power distribution network;
acquiring a pre-constructed distributed power supply power generation proportion model, and determining the primary power generation proportion of a distributed power supply in the distributed power supply power generation proportion model according to weather conditions;
determining an interruptible load in a target power distribution network, and constructing a transferable load quantity model based on the interruptible load;
determining constraint conditions, including topology constraint of a power distribution network, system power flow constraint and system safety constraint, and operation constraint of the power distribution network;
Solving an objective function, a distributed power supply power generation proportion model and a transferable load model based on constraint conditions to obtain a power distribution network fault recovery strategy;
Forming islands after the power distribution network fails, recovering the power distribution network failure after the step of obtaining a power distribution network failure recovery strategy, and sequentially accessing each recovered island into a main network according to a preset island priority; the preset island priority comprises the following steps:
Determining a first score of the island according to the distance between the island and the main network;
determining a second score of the island according to faults inside and outside the island;
Determining a third score of the island according to the energy storage and the distributed energy capacity in the island;
determining a fourth score for the island according to the controllable load amount within the island;
Determining the total score of the island according to the first score, the second score, the third score and the fourth score;
and determining the priority of the island according to the total score of the island.
2. The power distribution network fault recovery method according to claim 1, wherein the objective function is as follows:
Where L represents the set of all load nodes, w i represents the importance of the load at node i, And the variable is 0-1, the values are 1 and 0, the load recovery and the non-recovery are respectively represented, P i,t represents the load recovery amount of the i-node in the t period, and lambda DG represents the utilization rate of the distributed power supply.
3. The power distribution network fault recovery method according to claim 1, wherein when solving the objective function, the distributed power generation ratio model and the transferable load quantity model based on the constraint condition, a variance evaluation criterion is further set, and when solving, the deviation degree of the load demand and the load output is minimized.
4. The power distribution network fault recovery method of claim 1, wherein the system security constraints include an operating voltage constraint and a branch capacity constraint; the operation constraints of the power distribution network comprise distributed energy constraints and energy storage constraints.
5. The power distribution network fault recovery method according to claim 1, wherein solving the objective function, the distributed power generation ratio model and the transferable load model based on the constraint condition specifically comprises:
Firstly, loosening the operation constraint of a power distribution network and the topology constraint of the power distribution network by using a large M method to ensure that the active power, reactive power and line current of an open branch are zero and the closed branch is not constrained; and then calling a solving tool to solve.
6. A power distribution network fault recovery apparatus, comprising:
The first determining module is used for determining the load quantity to be recovered after the fault of the target power distribution network;
The objective function construction module is used for constructing an objective function based on the load quantity to be recovered; the objective function aims at the maximum load recovery quantity and the maximum distributed power supply utilization rate of all nodes in the target power distribution network;
The second determining module is used for obtaining a pre-built distributed power supply power generation proportion model and determining the preliminary power generation proportion of the distributed power supply in the distributed power supply power generation proportion model according to weather conditions;
The third determining module is used for determining the interruptible load in the target power distribution network and constructing a transferable load quantity model based on the interruptible load;
the fourth determining module is used for determining constraint conditions, including topology constraint of the power distribution network, system power flow constraint and system safety constraint, and operation constraint of the power distribution network;
the solving module is used for solving the objective function, the distributed power supply power generation proportion model and the transferable load model based on the constraint condition to obtain a power distribution network fault recovery strategy;
Forming islands after the power distribution network fails, recovering the power distribution network failure after the step of obtaining a power distribution network failure recovery strategy, and sequentially accessing each recovered island into a main network according to a preset island priority; the preset island priority comprises the following steps:
Determining a first score of the island according to the distance between the island and the main network;
determining a second score of the island according to faults inside and outside the island;
Determining a third score of the island according to the energy storage and the distributed energy capacity in the island;
determining a fourth score for the island according to the controllable load amount within the island;
Determining the total score of the island according to the first score, the second score, the third score and the fourth score;
and determining the priority of the island according to the total score of the island.
7. An electronic device comprising a processor and a memory, the processor being configured to execute a computer program stored in the memory to implement the power distribution network fault recovery method of any one of claims 1 to 5.
8. A computer readable storage medium storing at least one instruction that when executed by a processor implements a power distribution network fault recovery method according to any one of claims 1 to 5.
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