CN114884129A - Power distribution network emergency repair recovery method considering cooperative dispatching of power supply vehicles - Google Patents
Power distribution network emergency repair recovery method considering cooperative dispatching of power supply vehicles Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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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
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
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- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract
The invention provides a power distribution network emergency repair recovery method considering power supply vehicle cooperative scheduling. The transfer strategy matrix technology and the access strategy of the emergency power supply vehicle are provided, the transfer strategy matrix technology and the access strategy are used for representing the coordination relation between the dispatching paths of a plurality of emergency power supply vehicles and the emergency maintenance team, the load around the access node is recovered through the intact line, the power supply capacity and the flexible dispatching capacity of the emergency power supply vehicle are fully utilized, and the power supply benefit of the emergency power supply vehicle is maximized.
Description
Technical Field
The invention belongs to the field of emergency repair of power distribution networks, and particularly relates to a power distribution network emergency repair recovery method considering cooperative scheduling of power supply vehicles.
Background
With the continuous development of science and technology, the power grid becomes more important in social development and daily work and life of people, and once major faults occur, such as: faults such as line breakage, pole tower collapse and the like caused by disasters such as earthquake, typhoon, flood and the like caused by natural factors; faults such as voltage collapse and equipment damage caused by human factors have great influence on economic production and development, and cause loss which is difficult to estimate.
The distribution network as a ring connected with users in the power system network directly influences the quality of the power consumption of the users. The network structure of the power distribution network is complex, the types of equipment are various, the types of supply loads are various, and the like, so that great challenges are brought to the safe and stable operation of the power distribution network. Therefore, how to strengthen the capability of the power distribution network for dealing with major disasters, improve the capability of rapidly recovering power supply after the power distribution network fails, ensure the national economic level and reduce the loss caused by large-scale faults is of great importance.
The power distribution network has the structural characteristics of closed-loop design and open-loop operation, and can flexibly operate a line switch. When a fault recovery strategy is formulated, a fault area is isolated, and the power supply of a non-fault power failure area is recovered through the existing comprehensive energy on the premise that the network structure is not changed significantly and the constraint is met. Compared with a power transmission network, the power distribution network fault emergency repair recovery model is small in scale and simple to operate, and the researched power distribution network fault emergency repair recovery model has an engineering practical value.
The emergency power supply vehicle is used as a ring of emergency defense, has great flexibility and is indispensable under emergency conditions. However, the capacity of the emergency power supply vehicle is limited, and the total number of the emergency power supply vehicles is limited, so that how to fully exert the flexibility of the emergency power supply vehicle, reasonably distribute limited resources, recover power loss loads, and maximize benefits is the key point of current research.
Currently, research on load recovery of emergency power supply vehicles is limited, and the current research focuses on single scheduling of the emergency power supply vehicles and recovery of a single load or an area, and the emergency power supply vehicles are still not fully utilized. If the emergency power supply vehicle is cooperated with the work of the emergency maintenance team, the transfer is carried out after partial fault is recovered, the power-off load of other areas is recovered, the redundant electric energy is distributed by using the intact line, the utilization efficiency of the emergency power supply vehicle can be improved, and the loss caused by the fault is reduced.
Disclosure of Invention
In order to make up for the blank and the deficiency of the prior art, the current research on the recovery of the load of the emergency power supply vehicle is limited, the current research focuses on the single dispatching of the emergency power supply vehicle and the recovery of a single load or area, and the utilization of the emergency power supply vehicle is still insufficient. The invention provides a power distribution network emergency repair recovery method considering power supply vehicle cooperative scheduling, provides an emergency power supply vehicle transfer strategy matrix technology and an access strategy, is used for representing the cooperative relationship between scheduling paths of a plurality of emergency power supply vehicles and emergency repair teams, recovers the load around an access node through an intact line, fully utilizes the power supply capacity and flexible scheduling capacity of the emergency power supply vehicles, and maximizes the power supply benefit of the emergency power supply vehicles.
The invention specifically adopts the following technical scheme:
a power distribution network emergency repair recovery method considering cooperative dispatching of power vehicles is characterized by comprising the following steps: firstly, an emergency maintenance strategy of an emergency maintenance team is obtained, a fault area, recovery time and a recovery sequence are determined, then a transfer path of a plurality of emergency power supply vehicles is expressed in a mode of setting a transfer strategy matrix, then a load recovery strategy of the emergency power supply vehicles is solved through the transfer strategy matrix, and finally an optimal transfer strategy matrix is solved through a discrete binary particle swarm algorithm.
Further, the method for expressing the transfer path of the multiple emergency power source vehicles by setting the transfer strategy matrix specifically comprises the following steps:
the transfer strategy matrix is used for representing the dispatching path of the emergency power supply vehicle and the cooperative relationship between the dispatching path and the emergency maintenance team:
in the formula: n rows represent n emergency power supply vehicles; m columns represent m sequentially restored isolated networks; x is the number of ij ∈[0,k],Wherein k is the node number of the mth isolated network, the nodes in the isolated network are numbered again, when 0 is taken, the isolated network is not accessed, and [1, k ] is taken]Representing node numbers corresponding to elements in the isolated network by time;
inserting a column (x) in front of the matrix 01 ,x 02 ,…,x 0n ) T The method is used for representing the initial position of the emergency power supply vehicle, the column can be regarded as a special isolated network with the first-aid repair time of 0, and the original matrix is expanded to n x (m + 1); obtaining transfer strategies of the emergency power supply vehicles among different isolated networks and different nodes according to each row of parameters of the emergency power supply vehicle transfer strategy matrix;
each column of the transfer strategy matrix represents an isolated network area, and the power supply time of each power supply vehicle in each isolated network is obtained in the following mode:
in the formula: t is ij The power supply time of the ith power supply vehicle in the jth isolated network is provided;time for restoring system side power supply for jth isolated network;the power supply time of the system side is recovered for the j-n isolated networks, wherein n is the time that x is used i,j-n A smallest positive integer other than 0;the transfer time of the ith power supply vehicle between the jth and jth-nth isolated networks is calculated;
thereby, the power supply time matrix of the emergency power supply vehicle is obtained:
and each row of the power supply time is connected with the isolated network earlier the power supply vehicle with longer power supply time is, so that the sequence of the emergency power supply vehicle connected with the isolated network is obtained.
Further, the obtaining of the load recovery strategy of the emergency power supply vehicle through the transfer strategy matrix is specifically as follows:
(1) after the emergency power supply vehicle is connected, the peripheral load of the emergency power supply vehicle is recovered preferentially;
(2) when the load is recovered, if the two networks can be merged, the networks are merged preferentially to form an island, and the recoverable load is expanded to the load around the other network;
(3) after the load recovery is completed within the power supply capacity range, cutting off a line connected with the island;
(4) and after all the uncontrollable loads are recovered, the controllable loads are recovered.
Further, the load value in case of a fault is first established:
in the formula: w i The load value quantity of the ith node;the total secondary load of the ith node;the total amount of the uncontrollable three-level load of the ith node;the controllable three-level load total amount of the ith node; alpha is alpha i Is the secondary load of the ith nodeDegree of urgency; beta is a i The degree of urgency of the three-level load of the ith node; omega 2 Is a secondary load weight; omega 3 The weight is the third-level load weight; x is the number of i The controllable load switching state of the ith node is represented by 0, namely no input, and 1, namely input;
for controllable load access, selecting controllable load access of a certain isolated network by the formula (5):
in the formula: x is the number of i The input condition of the ith controllable load is 1, namely input, and 0, namely no input; g k Numbering a set of controllable load nodes of a kth isolated network; p res The residual power supply capacity of the emergency power supply vehicle is provided;
and (3) obtaining the value function of the emergency power supply vehicle for recovering the load by combining the load value function with the strategy of recovering the load of the emergency power supply vehicle:
in the formula: w k Is the load weight of the kth node; t is ij The power supply time of the ith power supply vehicle in the jth isolated network is provided; g ij A load set recovered after the ith power supply vehicle is accessed to the jth isolated network;
in the process of transferring, dispatching and recovering the load of the emergency power supply vehicle, the following constraint conditions need to be met:
(1) and (3) power flow constraint conditions:
in the formula: p a ,Q a Active power and reactive power injected at the node a; u shape a ,U b The voltage amplitudes at nodes a and b; omega a Is a node set connected with the node a; g ab ,B ab Conductance and susceptance on leg ab; theta ab Is the phase angle difference between nodes a and b;
(2) node voltage constraint:
U min ≤U≤U max (8)
in the formula: u shape min Is the node voltage lower limit; u shape max An upper node voltage limit;
(3) branch flow constraint:
|P s |≤P smax (9)
in the formula: p is s Is the active power flowing through branch s; p smax Allowing maximum active power to flow for branch s;
(4) power supply vehicle output restraint:
in the formula:generating capacity for all power supplies of the isolated network;all load capacity for isolated networks.
Further, the solving of the optimal transfer strategy matrix through the discrete binary particle swarm algorithm specifically includes:
after obtaining the recovery load value function of the emergency power supply vehicle, solving through a discrete binary particle swarm algorithm (BPSO):
before solving the problem by adopting a BPSO algorithm, the problem needs to be coded; splicing each row of the transfer strategy matrix, converting the matrix from n x (m +1) dimension into n (m +1) dimension vector, converting each dimension into binary form, and updating the position and speed of the particles in the binary form by BPSO algorithm; the velocity update formula for the particles is as follows:
v id (k+1)=ωv id (k)+c 1 r 1 [p id (k)-x id (k)]+c 2 r 2 [p gd (k)-x id (k)] (11)
in the formula: i is the ith particle number; d is the d-th dimension of the particle; k is the number of iterations; v. of id Representing the velocity of the ith particle in the d dimension; x is the number of id Represents the position of the ith particle in d dimension; p is a radical of id Coordinates representing the optimal position of the ith particle in d dimension; p is a radical of gd Coordinates representing the current global optimum position in d dimension; c. C 1 、c 2 Is a learning factor; r is 1 、r 2 Is the interval [0,1]A random number of (c); omega is the inertial weight;
the particle position update formula is as follows:
in the formula: rho is a random number on [0,1 ];
according to the updating formula of the algorithm, the emergency power supply vehicle transfer strategy matrix is used as the encoding form of the particles, the emergency power supply vehicle recovery load value function is used as the fitness function of the algorithm, the speed and the position of the particles are updated in a group information sharing mode, and the optimal strategy is obtained through solving.
An electronic device comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor executes the program to implement the method for emergency repair and restoration of a power distribution network considering cooperative scheduling of power vehicles as described above.
A computer-readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, implements a method for emergency recovery of a power distribution network in consideration of power supply vehicle coordinated scheduling as described above.
Compared with the prior art, the emergency power supply vehicle transfer strategy matrix is adopted in the invention and the optimal scheme thereof, the sequence of recovering the isolated network through the breakdown rush-repair of a rush-repair team is combined with the scheduling of the emergency power supply vehicle, the scheduling strategy of the emergency power supply vehicle is effectively planned, and a reasonable trend can be given to the emergency power supply vehicle for transferring, so that the emergency power supply vehicle can transfer along with the recovery sequence of the isolated network, the situations that the power supply vehicle transfers in the same isolated network and reaches the isolated network node of the recovery system side power supply in the scheduling process are effectively avoided, the solution space of the problem is effectively reduced, and the solution efficiency is improved; multiple transfer paths of multiple emergency power supply vehicles can be obtained through the rows of the transfer strategy matrix; the power supply time and the access sequence of the power supply vehicle in each isolated network can be calculated through columns of the transfer strategy matrix, electric energy is transmitted through a complete line according to a certain principle, the surrounding load is recovered to the maximum extent, the transfer capacity and the power supply capacity of the emergency power supply vehicle are fully utilized, and the utilization efficiency of the emergency power supply vehicle is greatly improved; the problem is solved through a discrete binary particle swarm algorithm, and the unique group information sharing mechanism is utilized to accelerate the convergence speed and improve the solving speed of the problem.
Drawings
Fig. 1 is a schematic diagram of a power supply vehicle load recovery strategy according to an embodiment of the invention.
Fig. 2 is a schematic flow chart of a power supply vehicle cooperative scheduling recovery strategy according to an embodiment of the present invention.
Detailed Description
In order to make the features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail as follows:
it should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
As shown in fig. 2, the general scheme of the method for recovering emergency repair of a power distribution network considering cooperative scheduling of power vehicles provided by this embodiment includes the following contents:
for a power distribution network emergency repair recovery strategy considering emergency power supply vehicle cooperative scheduling, firstly, acquiring an emergency repair strategy of an emergency repair team, determining a fault area, recovery time and a recovery sequence, then expressing transfer paths of a plurality of emergency power supply vehicles in a mode of setting a transfer strategy matrix, then solving a load recovery strategy of the emergency power supply vehicles through the transfer strategy matrix, and finally solving an optimal transfer strategy matrix through a discrete binary particle swarm algorithm. The method comprises the following specific steps:
1. under the condition of multiple faults of the power distribution network, due to the characteristic of open-loop operation of the power distribution network, the fault divides the network into a plurality of isolated networks. Through the rush-repair work of the rush-repair team, after the fault is gradually recovered, the loads in a plurality of isolated networks can obtain the power supply of the system side. By obtaining the emergency maintenance strategy of the emergency maintenance squad, the time and the sequence of the isolated network recovery system side power supply can be determined.
2. The transfer strategy matrix is used for representing the dispatching path of the emergency power supply vehicle and the cooperative relationship between the dispatching path and the emergency maintenance team:
in the formula: n rows represent n emergency power supply vehicles; m columns represent m sequentially restored isolated networks; x is the number of ij ∈[0,k],Wherein k is the node number of the mth isolated network, the nodes in the isolated network are numbered again, when 0 is taken, the isolated network is not accessed, and [1, k ] is taken]Representing elements in an isolated networkThe corresponding node number.
Inserting a column (x) in front of the matrix 01 ,x 02 ,…,x 0n ) T The initial position of the emergency power supply vehicle is represented, and the column can be regarded as a special isolated network with the first-aid repair time of 0, and the original matrix is expanded to n x (m + 1). And each row of parameters of the emergency power supply vehicle transfer strategy matrix can obtain transfer strategies of the emergency power supply vehicle between different isolated networks and different nodes.
Each column of the transfer strategy matrix represents an isolated network area, so that the power supply time of each power supply vehicle in each isolated network can be obtained in the following mode:
in the formula: t is ij The power supply time of the ith power supply vehicle in the jth isolated network is provided;time for restoring system side power supply for jth isolated network;the power supply time of the system side is recovered for the j-n isolated networks, wherein n is the time that x is used i,j-n A smallest positive integer other than 0;the transfer time of the ith power supply vehicle between the jth and jth-nth isolated networks is calculated.
Therefore, a power supply time matrix of the emergency power supply vehicle can be obtained:
the power supply vehicles with longer power supply time are connected into the isolated network earlier for each row of power supply time, so that the sequence of the emergency power supply vehicles connected into the isolated network can be obtained.
3. According to the sequence of the emergency power supply vehicles accessing the network, the peripheral load is recovered through a complete line according to the following rules:
(1) after the emergency power supply vehicle is connected, the peripheral load of the emergency power supply vehicle is recovered preferentially, and the long-distance transmission loss is reduced.
(2) When the load is recovered, if the two networks can be merged, the networks are merged preferentially to form an island, and the recoverable load is expanded to the load around the other network.
(3) And after the load recovery is completed within the power supply capacity range, cutting off the line connected with the island.
(4) And after all the uncontrollable loads are recovered, the controllable loads are reasonably recovered.
As shown in FIG. 1, assuming that each power car has the capability of supplying power to four-node loads, G1 is connected to node 2 first, G2 is connected to node 5 later, and the loads are recovered according to the following steps
The method comprises the following steps: the power supply vehicle G1 is switched on first, the nodes 1,2,3 and 7 are recovered, and the lines 3-4,3-10 and 7-8 are disconnected.
Step two: and accessing a power supply vehicle G2 and restoring the nodes 4,5 and 6.
Step three: and (3) closing a line 3-4, and combining networks supplied by the two emergency power supply vehicles.
Step four: and closing 3-10 and opening 10-11 to supply power to the node 10.
Establishing a mathematical model for expressing the rule, and firstly establishing a load value under a fault condition:
in the formula: w i The load value quantity of the ith node;the total secondary load of the ith node;is an uncontrollable three-level negative of the ith nodeThe total amount of the load;the controllable three-level load total amount of the ith node; alpha is alpha i A secondary load urgency for the ith node; beta is a i The third-level load urgency level of the ith node; omega 2 Is a secondary load weight; omega 3 The weight is the third-level load weight; x is the number of i In the controllable load switching state of the ith node, 0 represents no input, and 1 represents input.
For controllable load access, selecting controllable load access of a certain isolated network by the formula (5):
in the formula: x is the number of i The input condition of the ith controllable load is 1, namely input, and 0, namely no input; g k Numbering a set of controllable load nodes of a kth isolated network; p res And the residual power supply capacity of the emergency power supply vehicle is provided.
The load recovery value function of the emergency power supply vehicle can be obtained by combining the load recovery strategy of the emergency power supply vehicle with the load value function:
in the formula: w k Is the load weight of the kth node; t is ij The power supply time of the ith power supply vehicle in the jth isolated network is provided; g ij And (4) a load set recovered after the ith power supply vehicle is connected into the jth isolated network.
In the process of transferring, dispatching and recovering the load of the emergency power supply vehicle, the following constraint conditions need to be met:
(5) and (3) power flow constraint conditions:
in the formula: p a ,Q a Active power and reactive power injected at the node a; u shape a ,U b The voltage amplitudes at nodes a and b; omega a Is a node set connected with the node a; g ab ,B ab Conductance and susceptance on leg ab; theta ab Is the phase angle difference between nodes a and b.
(6) Node voltage constraint:
U min ≤U≤U max (8)
in the formula: u shape min Is the node voltage lower limit; u shape max And (4) node voltage upper limit.
(7) Branch flow constraint:
|P s |≤P smax (9)
in the formula: p s Is the active power flowing through branch s; p smax The maximum active power is allowed to flow for branch s.
(8) Power supply vehicle output restraint:
in the formula:generating capacity for all power supplies of the isolated network;all load capacity for isolated networks.
4. After the recovery load value function of the emergency power supply vehicle is obtained, the recovery load value function can be solved through a Binary Particle Swarm Optimization (BPSO), and the BPSO has a unique inter-population information sharing mechanism and can be quickly converged.
Before solving the problem using the BPSO algorithm, the problem needs to be encoded. Splicing each row of the transfer strategy matrix, converting the matrix from n (x) (m +1) dimension into n (m +1) dimension vector, converting each dimension into binary form, and updating the position and the speed of the particles in the binary form through BPSO algorithm. The velocity update formula for the particles is as follows:
v id (k+1)=ωv id (k)+c 1 r 1 [p id (k)-x id (k)]+c 2 r 2 [p gd (k)-x id (k)] (11)
in the formula: i is the ith particle number; d is the d-th dimension of the particle; k is the number of iterations; v. of id Representing the velocity of the ith particle in the d dimension; x is the number of id Represents the position of the ith particle in d dimension; p is a radical of id Coordinates representing the optimal position of the ith particle in d dimension; p is a radical of gd Coordinates representing the current global optimum position in d dimension; c. C 1 、c 2 Is a learning factor; r is 1 、r 2 Is the interval [0,1]A random number above; ω is the inertial weight.
The particle position update formula is as follows:
in the formula: rho is a random number on [0,1 ].
According to the updating formula of the algorithm, the emergency power supply vehicle transfer strategy matrix is used as the encoding form of the particles, the emergency power supply vehicle recovery load value function is used as the fitness function of the algorithm, the speed and the position of the particles are updated in a group information sharing mode, and the optimal strategy is solved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, 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 of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each flow of the flowcharts, and combinations of flows in the flowcharts, 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.
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.
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.
The foregoing is directed to preferred embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow. However, any simple modification, equivalent change and modification of the above embodiments according to the technical essence of the present invention are within the protection scope of the technical solution of the present invention.
The present invention is not limited to the above-mentioned preferred embodiments, and any person can derive other various forms of recovery methods for emergency repair of power distribution network considering cooperative dispatching of power vehicles according to the teaching of the present invention.
Claims (5)
1. A power distribution network emergency repair recovery method considering cooperative dispatching of power vehicles is characterized by comprising the following steps: firstly, an emergency maintenance strategy of an emergency maintenance team is obtained, a fault area, recovery time and a recovery sequence are determined, then a transfer path of a plurality of emergency power supply vehicles is expressed in a mode of setting a transfer strategy matrix, then a load recovery strategy of the emergency power supply vehicles is solved through the transfer strategy matrix, and finally an optimal transfer strategy matrix is solved through a discrete binary particle swarm algorithm.
2. The power distribution network emergency repair recovery method considering cooperative dispatching of power vehicles according to claim 1, characterized in that: the method for expressing the transfer path of the multiple emergency power supply vehicles by setting the transfer strategy matrix specifically comprises the following processes:
the transfer strategy matrix is used for representing the dispatching path of the emergency power supply vehicle and the cooperative relationship between the dispatching path and the emergency maintenance team:
in the formula: n rows represent n emergency power supply vehicles; m columns represent m sequentially restored isolated networks; x is the number of ij ∈[0,k],Wherein k is the node number of the mth isolated network, the nodes in the isolated network are numbered again, when 0 is taken, the isolated network is not accessed, and [1, k ] is taken]Representing node numbers corresponding to elements in the isolated network by time;
inserting a column (x) in front of the matrix 01 ,x 02 ,...,x 0n ) T To indicate the initial position of the emergency power supply vehicle, this column can be regarded asA special isolated network with the first-aid repair time of 0, wherein the original matrix is expanded to n x (m + 1); obtaining transfer strategies of the emergency power supply vehicles among different isolated networks and different nodes according to each row of parameters of the emergency power supply vehicle transfer strategy matrix;
each column of the transfer strategy matrix represents an isolated network area, and the power supply time of each power supply vehicle in each isolated network is obtained in the following mode:
in the formula: t is ij The power supply time of the ith power supply vehicle in the jth isolated network;time for restoring system side power supply for jth isolated network;the power supply time of the system side is recovered for the j-n isolated networks, wherein n is the time that x is used i,j-n A smallest positive integer other than 0;the transfer time of the ith power supply vehicle between the jth and jth-nth isolated networks is calculated;
thereby, the power supply time matrix of the emergency power supply vehicle is obtained:
and each row of the power supply time is connected with the isolated network earlier the power supply vehicle with longer power supply time is, so that the sequence of the emergency power supply vehicle connected with the isolated network is obtained.
3. The power distribution network emergency repair recovery method considering cooperative dispatching of power vehicles according to claim 2, characterized in that: the method for solving the load recovery strategy of the emergency power supply vehicle through the transfer strategy matrix comprises the following steps:
(1) after the emergency power supply vehicle is connected, the peripheral load of the emergency power supply vehicle is recovered preferentially;
(2) when the load is recovered, if the two networks can be merged, the networks are merged preferentially to form an island, and the recoverable load is expanded to the load around the other network;
(3) after the load recovery is completed within the power supply capacity range, cutting off a line connected with the island;
(4) and after all the uncontrollable loads are recovered, the controllable loads are recovered.
4. The power distribution network emergency repair recovery method considering cooperative dispatching of power vehicles as claimed in claim 3, wherein: firstly, establishing a load value under a fault condition:
in the formula: w i The load value quantity of the ith node;the total secondary load of the ith node;the total amount of the uncontrollable three-level load of the ith node;the controllable three-level load total amount of the ith node; alpha is alpha i A secondary load urgency for the ith node; beta is a i The third-level load urgency level of the ith node; omega 2 Is a secondary load weight; omega 3 The weight is the third-level load weight; x is the number of i The controllable load switching state of the ith node is represented by 0, namely no input, and 1, namely input;
for controllable load access, selecting controllable load access of a certain isolated network by the formula (5):
in the formula: x is the number of i The input condition of the ith controllable load is 1, namely input, and 0, namely no input; g k Numbering a set of controllable load nodes of a kth isolated network; p res The residual power supply capacity of the emergency power supply vehicle is provided;
and obtaining the value function of the emergency power supply vehicle for recovering the load by combining the load value function with the strategy of recovering the load of the emergency power supply vehicle:
in the formula: w k Is the load weight of the kth node; t is ij The power supply time of the ith power supply vehicle in the jth isolated network is provided; g ij A load set recovered after the ith power supply vehicle is accessed to the jth isolated network;
in the process of transferring, dispatching and recovering the load of the emergency power supply vehicle, the following constraint conditions need to be met:
(1) and (3) power flow constraint conditions:
in the formula: p a ,Q a Active power and reactive power injected at the node a; u shape a ,U b The voltage amplitudes at nodes a and b; omega a Is a node set connected with the node a; g ab ,B ab Conductance and susceptance on leg ab; theta ab Is the phase angle difference between nodes a and b;
(2) node voltage constraint:
U min ≤U≤U max (8)
in the formula: u shape min Is the node voltage lower limit; u shape max An upper node voltage limit;
(3) branch flow constraint:
|P s |≤P smax (9)
in the formula: p s Is the active power flowing through branch s; p smax Allowing maximum active power to flow for branch s;
(4) power supply vehicle output restraint:
5. The power distribution network emergency repair recovery method considering cooperative dispatching of power vehicles according to claim 2, characterized in that: the method for solving the optimal transfer strategy matrix through the discrete binary particle swarm algorithm specifically comprises the following steps:
after obtaining the recovery load value function of the emergency power supply vehicle, solving through a discrete binary particle swarm algorithm (BPSO):
before solving the problem by adopting a BPSO algorithm, the problem needs to be coded; splicing each row of the transfer strategy matrix, converting the matrix from n x (m +1) dimension into n (m +1) dimension vector, converting each dimension into binary form, and updating the position and speed of the particles in the binary form by BPSO algorithm; the velocity update formula for the particles is as follows:
v id (k+1)=ωv id (k)+c 1 r 1 [p id (k)-x id (k)]+c 2 r 2 [p gd (k)-x id (k)] (11)
in the formula: i is the ith particle number; d is the d-th dimension of the particle; k is the number of iterations; v. of id Representing the velocity of the ith particle in the d dimension; x is the number of id Represents the position of the ith particle in d dimension; p is a radical of id Coordinates representing the optimal position of the ith particle in d dimension; p is a radical of gd Coordinates representing the current global optimum position in d dimension; c. C 1 、c 2 Is a learning factor; r is 1 、r 2 Is the interval [0,1]A random number of (c); omega is the inertial weight;
the particle position update formula is as follows:
in the formula: rho is a random number on [0,1 ];
according to the updating formula of the algorithm, the emergency power supply vehicle transfer strategy matrix is used as the encoding form of the particles, the emergency power supply vehicle recovery load value function is used as the fitness function of the algorithm, the speed and the position of the particles are updated in a mode of inter-population information sharing, and the optimal strategy is obtained through solving.
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