CN116845888A - Active power distribution network fault recovery method and system based on dynamic island division - Google Patents

Active power distribution network fault recovery method and system based on dynamic island division Download PDF

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CN116845888A
CN116845888A CN202311122526.2A CN202311122526A CN116845888A CN 116845888 A CN116845888 A CN 116845888A CN 202311122526 A CN202311122526 A CN 202311122526A CN 116845888 A CN116845888 A CN 116845888A
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distribution network
power distribution
time
power
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CN116845888B (en
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龚逊东
郭维嘉
黄国栋
杨晨
朱俊澎
郦君婷
朱琼
周力
董晓峰
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Hohai University HHU
Suzhou Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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Suzhou Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/007Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/004Artificial life, i.e. computing arrangements simulating life
    • G06N3/006Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/388Islanding, i.e. disconnection of local power supply from the network
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin

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  • Power Engineering (AREA)
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  • Health & Medical Sciences (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a method and a system for recovering faults of an active power distribution network based on dynamic island division, wherein the method comprises the following steps: based on the construction condition of a connecting line in a power distribution network and the operation characteristics of each generator in a power distribution network area, an active power distribution network operation communication component model is established; according to the active power distribution network operation connected component model, a load recovery model considering network structure limitation and micro-grid controller limitation is established; solving the established model, and obtaining a dynamic island division scheme of the power distribution network in the fault time; and establishing a linear power flow model of the power distribution network, solving the linear power flow model of the power distribution network according to a dynamic island division scheme, obtaining the power generation plan of each generator, and carrying out fault recovery by combining the dynamic island division scheme. The invention can cooperate with the sectional switch, the breaker and the distributed power supply to realize the rapid recovery of the power distribution network after the blackout, unify the island division and the network reconstruction process in the fault recovery of the power distribution network, and improve the operation elasticity of the power distribution network.

Description

Active power distribution network fault recovery method and system based on dynamic island division
Technical Field
The invention belongs to the technical field of power distribution network control, operation and optimization, and particularly relates to an active power distribution network fault recovery method and system based on dynamic island division.
Background
In recent years, global warming has led to extreme weather frequency. Various extreme weather frequently occurs, so that the importance of natural disaster prevention is highlighted, and the search of how to quickly restore power supply after a blackout is promoted.
By utilizing the active power distribution network technology and changing the power distribution network topology, the continuous power supply to the key load after the power failure is greatly realized. However, in the existing island division scheme, the island division scheme is generally proposed based on a root node or preprocessing method and the like according to graph theory, and the island division scheme has the defect of narrowing the feasible domain of the scheme, so that a plurality of power supplies do not exist in the range of the scheme for providing the island, and the power supplies cannot cooperate to exert power.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides the active power distribution network fault recovery method and system based on dynamic island division, which can cooperate with a contact switch, a circuit breaker and a distributed power supply to realize the rapid recovery of the power distribution network after a blackout, and the island division and network reconstruction process in the power distribution network fault recovery are unified by establishing a load recovery model considering the limitation of a network structure and the limitation of a micro-grid controller, so that the operation elasticity of the power distribution network is improved.
The invention adopts the following technical scheme.
An active power distribution network fault recovery method based on dynamic island division, the method comprising the following steps:
s1: based on the construction condition of a connecting line in a power distribution network and the operation characteristics of all generators in a power distribution network area, an active power distribution network operation communication component model considering the output of multiple types of power supplies is established;
s2: based on the active power distribution network operation connected component model, a load recovery model considering network structure limitation and micro-grid controller limitation is established;
s3: solving the model established in the steps S1 and S2 to obtain the starting time of the non-black start power supply at each node of the power distribution network in the fault time and the on-off state of each connecting line at different moments, so as to form a dynamic island division scheme of the power distribution network in the fault time;
s4: and establishing a linear power flow model of the power distribution network, solving the linear power flow model of the power distribution network according to a dynamic island division scheme, obtaining the power generation plan of each generator, and carrying out fault recovery by combining the dynamic island division scheme.
Preferably, the active power distribution network operation communication component model comprises a power distribution network structure model, a non-black start power supply output model at each node of the power distribution network, a wind-light power supply output model at each node of the power distribution network, an energy storage device output model at each node of the power distribution network and a node output model without a power supply in the power distribution network.
Preferably, the distribution network structure model is:
(1)
(2)
wherein ,x i t indicating time tiThe total number of connecting lines connected with the nodes;
for the relation between node i and node j at time t, the on-off state of each connecting line at different time points is represented by +.>Indicating that node i is connected to node j at time t, < >>Indicating that the node i and the node j are not connected at the moment t;
indicating whether a tie line containing a sectionalizer or a breaker is provided between node i and node j +.>Indicating that tie lines containing sectionalizers or breakers are installed between node i and node j +.>No tie line containing sectionalizing switch or breaker is arranged between node i and node j, and nodeiSum nodejWhen the interconnecting line fails to connect, the node is regarded asiSum nodejWithout interconnecting lines, i.e.)>The method comprises the steps of carrying out a first treatment on the surface of the N represents the number of nodes j.
Preferably, the non-black start power output model at each node of the power distribution network is:
(3)
(4)
(5)
(6)
wherein ,is a set of nodes containing non-black start power;
indicating time tiMaximum output of the power supply at the node;
is thatiThe non-black start power supply of the node starts at the moment, i.eiThe start-up time of the non-black start power supply at the node;
is thatiThe starting power required by the non-black starting power supply of the node;
Ttime required for non-black start power recovery phase;
Is thatiMaximum uphill rate of non-black start power at the node;
is thatiMaximum output power of the power supply at the node;
t 1 the starting time is used for meeting the starting condition of the non-black starting power supply;
is the time interval between two adjacent moments;
for the non-black start power state at inode at time t, -/->Indicating that the non-black start power supply at the i node at time t has start condition +.>Indicating that the non-black start power supply at the i node at the t moment does not have a start condition;
is thatiThe minimum moment when the non-black start power supply of the node reaches the maximum output;
is a node set connected with the j node at the moment t through a connecting line and the node.
Preferably, the wind-light power supply output model at each node of the power distribution network is as follows:
(7)
wherein ,indicating time tiMaximum output of the power supply at the node;
the predicted output of the wind-solar power supply at the i node at the t moment is shown;
is a set of nodes containing a power source;
is a set of nodes containing non-black start power;
is a collection of nodes comprising energy storage devices.
Preferably, the output model of the energy storage device at each node of the power distribution network is:
(8)
wherein ,representation ofaTime of dayiMaximum output of the power supply at the node;
is thattTime of day through tie lines and nodesiNode collection connected with the nodes;
representation oftTime of day jPredicted active load at node, +.>Representation ofjThe size of the active load at the current time of the node,representation ofjPredicted active load size of the node after 24 h;
is thatiMaximum output power of the power supply at the node;
is a set of nodes comprising energy storage devices;
the total capacity of the energy storage device at the inode;
is the time interval between two adjacent moments.
Preferably, the node output model without power supply in the power distribution network is:
(9)
indicating time tiMaximum output of the power supply at the node;
is a set of nodes containing a power source;
ithe node is represented by a set of nodes,tindicating the time of day.
Preferably, the load recovery model set up in S2, which considers the network structure limitation and the micro-grid controller limitation, is as follows:
(10)
(11)
(12)
(13)
(14)
(15)
in the formula ,Is an objective function;
Nis the total number of nodes in the network;
representing the predicted active load of the j node at the moment t;
representing the predicted active load of the i node at the time t;
respectively representing the time t and the time t-1iThe total number of connecting lines connected with the nodes;
representing the state of the inode at time t, +.>Indicating that the load at the inode at time t is restored;indicating that the load at inode at time t is not restored;
representation oftTime of dayjMaximum output of the power supply at the node;
is a node set connected with a node j through a connecting line and the node at the moment t;
Is a load weight coefficient;
is the weight coefficient of the switch operation times;
the operation times of switching of the distribution network in the future 24 hours are represented;
representing the relation between i node and j node at time t,/>The i node representing the moment t is connected with the j node through a connecting line or a node, and the i node represents the moment t>The i node at the moment t is represented to be connected with the j node without a connecting line or a node;
is thattMoment of time is by->An N matrix of components;
is a matrix->Is the first of (2)iA row;
is an identity matrix, wherein the elements on the main diagonal are all 1, and the rest elements are all 0;
is a matrix of 1 row and N columns, all elements of the matrix being 1;
representing a node set containing a micro-grid controller;
is a collection of nodes that contains a power supply.
Preferably, in step S3, the model established by S1 and S2 is solved by using a discrete particle swarm algorithm, so as to obtain the start-up time of the non-black start power supply at each node of the power distribution network in the fault timeOn-off state of each connecting line at different time>And forming a dynamic island division scheme of the power distribution network in the fault time, wherein the discrete particle swarm algorithm flow is as follows:
(1) First, initializing a particle group:
recording the randomly generated structure of each time period of the power distribution network as the initial position and the initial speed of the particles, wherein the generation mode of the structure of each time period of the power distribution network is as follows: first randomly generating a topology of a power distribution network structure Changing the network topology of the particles at all times into the randomly generated structure topology;
if the current distribution network structure topology of the particle cannot meet all the constraint conditions, the minimum moment in all the moments when the particle does not meet the constraint conditions is found outt 1 Then at time 0 andt 1 time of day and time of daytPerforming mutation operation to generate new power distribution network structure topologyThen the particlestTime of day and time of daytPerforming a copy operation at a time period subsequent to the time of day to copy the new distribution network topology totTime of day and time of daytAll constraint bars are made by replication and mutation at all time periods after the momentThe particle initialization is completed when all the parts are satisfied;
(2) After all particles are initialized, initializing a particle group:
according to the objective function, comparing the fitness of all particles, finding out the current global optimal solution, and temporarily recording the current value of each particle as the individual optimal solution to finish the initialization of the particle swarm;
(3) After the initialization of the particle swarm is completed, the algorithm searches a global optimal solution by iterating the population:
first crossing: according to inertia factors and learning factors c1 and c2, network topology at partial moments in the individual optimal solution and the global optimal solution is copied into particles, so that topology structure information of the individual optimal solution and the global optimal solution is diffused into each particle;
Then iteratively updating the particle position information;
final mutation and replication: and executing the variation and replication process during initialization, ensuring that all particle records are feasible solutions until the maximum iteration number is reached, outputting the feasible solutions, and ending the algorithm.
Preferably, the specific procedure of step S4 is as follows:
establishing a power distribution network linear power flow model, inputting the dynamic island division scheme obtained in the step S3 into the power distribution network linear power flow model, solving to obtain power generation plans of all units, and carrying out fault recovery by combining the dynamic island division scheme;
the method for carrying out fault recovery by combining the power generation planning of each unit with the dynamic island division scheme comprises the following steps:
and controlling the starting time of a non-black start power supply at each node of the power distribution network in the fault time and the on-off state of each tie line at different moments according to the dynamic island division scheme, and controlling the output of each node unit of the power distribution network in the fault time according to the power generation planning of each unit so as to realize fault recovery.
An active power distribution network fault recovery system based on dynamic island division, comprising:
the active power distribution network operation communication component model construction module is used for constructing an active power distribution network operation communication component model considering the output of multiple types of power sources based on the construction condition of the connecting lines in the power distribution network and the operation characteristics of all the generators in the power distribution network area;
The load recovery model construction module is used for constructing a load recovery model considering network structure limitation and micro-grid controller limitation based on the active power distribution network operation connected component model;
the dynamic island division scheme solving module is used for solving an active power distribution network operation communication component model and a load recovery model to obtain the starting time of a non-black starting power supply at each node of the power distribution network in the fault time and the on-off state of each connecting line at different moments, so as to form a dynamic island division scheme of the power distribution network in the fault time;
and the power generation planning solving module is used for establishing a power distribution network linear power flow model, solving the power distribution network linear power flow model according to a dynamic island dividing scheme, obtaining power generation plans of all the generators, and carrying out fault recovery by combining the dynamic island dividing scheme.
A terminal comprising a processor and a storage medium; the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method.
A computer readable storage medium having stored thereon a computer program which when executed by a processor realizes the steps of the method.
The invention has the beneficial effects that compared with the prior art:
According to the method, an active power distribution network operation communication component model is established based on the construction condition of a connecting line in a power distribution network and the operation characteristics of each generator in a power distribution network area, a load recovery model considering network structure limitation and micro-grid controller limitation is established according to the active power distribution network operation communication component model, specifically, formulas (2) and (14) in the model are change functions of communication components and time t, the characteristic that a sectionalizing switch and a breaker can change along with time is considered, and the characteristic that the active power distribution network structure is flexibly changed can be accurately depicted; in the model formulas, (3) - (9) are power output models comprising a non-black start power supply, an energy storage device and a wind-light power supply, so that a dynamic recovery model for dynamically adjusting the states of a sectionalizing switch, a breaker and the output power of the power supply in consideration of the output characteristics of the non-black start power supply, and the faults of the power distribution network in which the sectionalizing switch, the breaker and the power supply are mutually matched is formed, the types and the quantity of the power supplies in one island in the dynamic island division scheme are not limited, and the feasible solution of the dynamic island division scheme after a large power failure is expanded;
furthermore, the dynamic island division and power generation planning combined fault recovery is realized by combining the linear power flow model of the power distribution network, and the recovery effect of the cooperative coordination of the network structure of the power distribution network and the distributed power supply is achieved, so that the power distribution network can be quickly recovered after a blackout, the operation elasticity of the power distribution network is enhanced, and theoretical support can be provided for the operation control of building a strong power grid.
Further, when the model is solved, the discrete particle swarm algorithm is improved, and when the particle swarm is initialized, if the current distribution network structure topology of the particle cannot meet all constraint conditions, the minimum moment in all moments when the particle cannot meet the constraint conditions is found outt 1 Then at time 0 andt 1 time of day and time of daytPerforming a mutation operation to generate a new distribution network topology, and then the particlestTime of day and time of daytPerforming a copy operation at a time period subsequent to the time of day to copy the new distribution network topology totTime of day and time of daytCompared with the conventional particle swarm algorithm which regenerates the structure topology of the power distribution network, whether all moments meet the constraint conditions is rechecked, the method reduces the quantity of moments to be checked, and only needs to check t moment and the time period after t moment; when the algorithm searches the global optimal solution for the population iteration, the network topology at part of moments in the individual optimal solution and the global optimal solution is copied into particles according to inertia factors and learning factors c1 and c2 respectively, so that the optimizing capability of the algorithm is enhanced, and through the step of adding, each particle directly obtains the information of the individual optimal solution and the global optimal solution, so that whether the individual optimal solution and the global optimal solution exist or not is searched in the next iteration according to the information A more optimal scheme.
Drawings
FIG. 1 is a flow chart of an active power distribution network fault recovery method based on dynamic island division of the present application;
FIG. 2 is a diagram of a power grid employed in an embodiment of the present application;
FIG. 3 is a simplified power grid block diagram in an embodiment of the present application;
FIG. 4 is a dynamic island partitioning scheme in an embodiment of the application;
FIG. 5 is a graph showing the power generation planning result according to an embodiment of the present application;
FIG. 6 is a flowchart of a discrete particle swarm algorithm according to an embodiment of the application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. The described embodiments of the application are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art without making any inventive effort, are within the scope of the present application.
As shown in fig. 1, the present application provides a method for active power distribution network fault recovery based on dynamic island division, and in a preferred but non-limiting embodiment of the present application, the method includes the following steps:
S1: based on the construction conditions of the interconnecting lines in the distribution network (parameters in the following (2))) And the operating characteristics of the generators in the region of the distribution network (corresponding to +.>、/>、/>、/>、/>In formula (7)>(8)>) The method for establishing the active power distribution network operation connected component model considering the output of the multi-type power supply specifically comprises the following steps:
a1: building a power distribution network structure model:
(1)
(2)
wherein ,x i t indicating time tiThe total number of connecting lines connected with the nodes and the total number of the nodes j;
representing the relation between node i and node j at time t, representing the on-off state of each connecting line at different time points,/or%>Indicating that node i is connected to node j at time t, < >>Indicating that the node i and the node j are not connected at the moment t;
indicating whether a tie line containing a sectionalizer or a breaker is provided between node i and node j +.>Indicating that tie lines containing sectionalizers or breakers are installed between node i and node j +.>No tie line containing sectionalizing switch or breaker is arranged between node i and node j, and nodeiSum nodejWhen the interconnecting line fails to connect, the node is regarded asiSum nodejWithout interconnecting lines, i.e.)>The method comprises the steps of carrying out a first treatment on the surface of the I.e. parameter->Associated with tie switches->=1 indicates tie switch closed, +.>=0 means that the tie switch is off; n represents the number of nodes j.
A2: building a non-black start power output model at each node of the power distribution network:
(3)
(4)
(5)
(6)
wherein ,is a set of nodes containing non-black start power;
indicating time tiMaximum output of the power supply at the node;
is thatiThe non-black start power supply of the node starts at the moment, i.eiThe start-up time of the non-black start power supply at the node;
is thatiThe starting power required by the non-black starting power supply of the node;
Ttime required for non-black start power recovery phase;
is thatiMaximum uphill rate of non-black start power at the node;
is thatiMaximum output power of the power supply at the node;
t 1 the starting time is used for meeting the starting condition of the non-black starting power supply;
is the time interval between two adjacent moments;
for the non-black start power state at inode at time t, -/->Indicating that the non-black start power supply at the i node at time t has start condition +.>Indicating that the non-black start power supply at the i node at the t moment does not have a start condition;
is thatiThe minimum moment when the non-black start power supply of the node reaches the maximum output;
is a node set connected with the j node at the moment t through a connecting line and the node.
A3: building a wind-light power supply output model at each node of the power distribution network:
(7)
wherein ,indicating time tiMaximum output of the power supply at the node;
the predicted output of the wind-solar power supply at the i node at the t moment is shown;
Is a set of nodes containing a power source;
is a collection of nodes comprising energy storage devices.
A4: building an output model of an energy storage device at each node of the power distribution network:
(8)
wherein ,representation ofaTime of dayiMaximum output of the power supply at the node;
is thattTime of day through tie lines and nodesiNode collection connected with the nodes;
representation oftTime of dayjPredicted active load at node, +.>Representation ofjThe size of the active load at the current time of the node,representation ofjPredicted active load size of the node after 24 h;
is thatiMaximum output power of the power supply at the node;
is a set of nodes comprising energy storage devices;
the total capacity of the energy storage device at the inode;
is the time interval between two adjacent moments.
A5: building a node output model without a power supply in the power distribution network:
(9)
the method comprises the steps of outputting power to nodes without power sources in a power distribution network;
is a set of nodes containing a power source;
ithe node is represented, and t represents the time.
S2: based on the model established in the S1, establishing a load recovery model considering network structure limitation and micro-grid controller limitation;
further preferably, the network structure constraints (corresponding to the constraint of the network structure to be radial using equation (13)) and the microgrid controller constraints (i.e., equation (15)) are established to be considered, expressed At least one of the nodes in (a) is restored) as follows:
(10)
(11)
(12)
(13)
(14)
(15)
in the formula ,is an objective function;
n is the total number of nodes in the network;
representing the predicted active load of the j node at the moment t;
representing the predicted active load of the i node at the time t;
respectively representing the time t and the time t-1iThe total number of connecting lines connected with the nodes;
representing the state of the inode at time t, +.>Indicating that the load at the inode at time t is restored;indicating that the load at inode at time t is not restored;
representing the maximum output of the power supply at node j at time t, the parameter being the parameter of both equation (3) and equation (7)>I.e. representing the maximum output of a non-black start power or wind-solar power supply at node j, e.g. when the power supply at node j is wind-solar>Representing the maximum output of the wind-solar power supply at the j node;
is a node set connected with a node j through a connecting line and the node at the moment t;
is a load weight coefficient;
is the weight coefficient of the switch operation times; />
The operation times of switching of the distribution network in the future 24 hours are represented;
representing the relation between i node and j node at time t,/>The i node representing the moment t is connected with the j node through a connecting line or a node, and the i node represents the moment t>The i node at the moment t is represented to be connected with the j node without a connecting line or a node;
Is t is defined as t->An N matrix of components;
is a matrix->I-th row of (a);
is an identity matrix, wherein the elements on the main diagonal are all 1, and the rest elements are all 0;
is 1 rowA matrix of N columns, all elements of the matrix being 1;
representing a node set containing a micro-grid controller;
is a collection of nodes that contains a power supply.
S3: solving the model established in the steps S1 and S2 by using an intelligent algorithm to obtain the starting time of a non-black start power supply at each node of the power distribution network in the fault time and the on-off state of each connecting line at different moments, so as to form a dynamic island division scheme of the power distribution network in the fault time;
it is further preferred that the composition comprises,
solving the model established by S1 and S2 by using a discrete particle swarm algorithm to obtain the starting time of the non-black start power supply at each node of the power distribution network in the fault timeOn-off state of each connecting line at different time>Forming a dynamic island division scheme of the power distribution network in the fault time;
the flow of the discrete particle swarm algorithm is shown in FIG. 6.
(1) First, initializing a particle group:
recording the randomly generated structure of each time period of the power distribution network as the initial position and the initial speed of the particles, wherein the generation mode of the structure of each time period of the power distribution network is as follows: first randomly generating a topology of a power distribution network structure Changing the network topology of the particles at all times into the randomly generated structure topology;
if the current distribution network topology of the particle cannot meet all the constraints (1) - (9) and (11) - (15), finding out that the particle cannot meet all the moments of the constraintIs the minimum time of (2)t 1 Then at time 0 andt 1 time of day and time of daytPerforming mutation operation to generate new power distribution network structure topologyThen the particlestTime of day and time of daytPerforming a copy operation at all time periods after the moment to copy the new distribution network structure topology totTime of day and time of daytThe particle initialization is completed when all constraint conditions are satisfied through replication and mutation in a period after the moment;
(2) After all particles are initialized, initializing a particle group:
according to the target function formula (10), the fitness of all particles is compared, the current global optimal solution is found, the current value of each particle is temporarily recorded as the individual optimal solution, and the initialization of the particle swarm is completed;
(3) After the initialization of the particle swarm is completed, the algorithm searches a global optimal solution by iterating the population:
first crossing: according to inertia factors and learning factors c1 and c2, network topology at partial moments in the individual optimal solution and the global optimal solution is copied into particles, so that topology structure information of the individual optimal solution and the global optimal solution is diffused into each particle;
And then iterating: the particle position information is updated according to the power system partition robust state estimation [ J ]. Power grid technology based on parallel particle swarm algorithm in the literature, the rest of the power system partition robust state estimation is tree-built, li Chaoxia, xuejiao and the like. 2022,46 (08): 3139-3149. DOI:0.13335/j.1000-3673.Pst.2021.1525. The particle swarm algorithm formula is updated;
final mutation and replication: and executing the variation and replication process during initialization, ensuring that all particle records are feasible solutions until the maximum iteration number is reached, outputting the feasible solutions, and ending the algorithm.
It will be appreciated that the global optimal solution and the feasible solution are presented at each time in the modelAccording to the aboveThe model calculates the results.
S4: establishing a linear power flow model of the power distribution network, solving the linear power flow model of the power distribution network according to the dynamic island division scheme obtained in the step S3 to obtain the power generation plan of each generator, and carrying out fault recovery by combining the dynamic island division scheme, wherein the specific process is as follows:
establishing a linear power flow model of the power distribution network, and dividing the dynamic island obtained in the step S3 into the following schemes and />Inputting a linear power flow model of the power distribution network, and solving by a mathematical method to obtain a power generation plan of each unit > and />And performing fault recovery by combining a dynamic island division scheme.
The method for carrying out fault recovery by combining the power generation planning of each unit with the dynamic island division scheme comprises the following steps:
according to the dynamic island division scheme, the starting time of a non-black starting power supply at each node of the power distribution network in the fault time and the on-off state of each connecting line at different moments are controlled, and meanwhile, the output force of each node unit of the power distribution network in the fault time is controlled according to the power generation planning of each unit, so that fault recovery is realized
The linear power flow model of the power distribution network established in the S4 is as follows:
(16)
(17)
(18)
(19)
(20)
(21)
(22)/>
(23)
(24)
(25)
(26)
(27)
(28)
(29)
(30)
(31)
(32)
(33)
indicating t time +.>Power output at the node;
is thatiThe power generation cost of the power supply at the node;
is thatiMaximum downward slope rate of the unit at the node; />
Reactive output of the unit at the i node at the moment t;
the square of the voltage value at the i node at the time t;
the active power flowing from the i node to the j node at the moment t;
the reactive power flowing from the i node to the j node at the moment t;
the line impedance between the i node and the j node;
the capacitive reactance between the i node and the j node;
square of the nominal voltage magnitude;
is thatiA lower limit on the square magnitude of the node voltage;
is thatiUpper limit of square magnitude of node voltage;
indicating t time +.>Predicted reactive load at the node.
Example 1:
based on the above scheme, the embodiment applies and analyzes the method, and specifically comprises the following steps:
in this embodiment, a rural power distribution network in a certain area is selected as a power distribution network calculation example, photovoltaic units are respectively connected to nodes 2 and 25, a thermal power unit is connected to node 11 (i.e. a non-black start power supply connected to node 11 in fig. 2), and an energy storage device is connected to node 35, as shown in fig. 2. The parameters of the distribution network system are shown in table 1. After an extreme event, the distribution network changes the distribution network structure through a sectionalizing switch/breaker. Thus, if no sectionalizer/breaker is installed between two nodes, then during islanding, the two nodes can be considered the same node. According to the installation position of the sectionalizer/breaker in fig. 2, the nodes are combined, and the regional distribution network can be simplified to a 13-node network, as shown in fig. 3. Specifically, 1, 2, 3, 4 in fig. 2 are combined to 1 in fig. 3; 5, 6, 7, 8 in fig. 2 are combined to 2 in fig. 3; 9, 10, 11, 12 in fig. 2 are combined to 3 in fig. 3; 13, 14, 15 in fig. 2 are combined to 4 in fig. 3; 16, 17 in fig. 2 are combined to 5 in fig. 3; 18 in fig. 2 is 6 in fig. 3; 19, 20, 21, 22 in fig. 2 are combined to 7 in fig. 3; 23, 24, 25, 26, 27 in fig. 2 are combined to 8 in fig. 3; 28, 29, 30 in fig. 2 are combined to 9 in fig. 3; 31, 32, 33 in fig. 2 are combined to 10 in fig. 3; 34, 35, 36 in fig. 2 are combined to 11 in fig. 3; 37, 38, 39, 40 in fig. 2 are combined to 12 in fig. 3; 41, 42, 43 in fig. 2 are combined to 13 in fig. 3.
After the distribution network is simplified to be shown in fig. 3, the access conditions of the power supplies are shown in table 2.
In this embodiment, the load weight coefficients are shown in table 3, and the energy storage device and non-black matrix parameters are shown in table 4.
Table 1 example parameters of the distribution network
/>
Table 2 power on conditions
TABLE 3 weight coefficient of each electric load
TABLE 4 energy storage device and non-black set parameters
According to the load recovery model established by the invention S1 and S2, the load recovery feasible solution meeting the constraint can be obtained through solving by an intelligent algorithm, and the dynamic island division scheme is shown in figure 4.
Further, according to the dynamic island division scheme of fig. 4, namely: after the fault event occurs at the moment 0 to cause the distribution network to be separated from the main network, connecting a node 1 with a node 2, a node 2 with a node 3, a node 3 with a node 4, and a node 5 with a node 6, wherein a connecting switch (a sectionalizing switch or a circuit breaker of a connecting line) is disconnected, other connecting switches are closed, and meanwhile, a node 11 is designated as a region center for 0.5 hour; after 0.5 hour, connecting the node 2 with the node 3, the node 3 with the node 4, the node 4 with the node 5, the node 5 with the node 6 and the node 8 with the node 9, closing other connecting switches, simultaneously designating the node 3 as the regional center, continuously starting up a non-black start unit at the node 3 after the fault of 0.5 h for 23.5 hours, and making a power generation plan of each unit, namely bringing the dynamic island division scheme of the graph 4 into a linear power flow model formula of the power distribution network to obtain the power generation plan of each unit:
After the fault event occurs at the moment 0 to cause the disconnection of the distribution network and the main network, the energy storage device supplies power to restore the loads at the nodes 3, 8, 9, 10, 11, 12 and 13, and meanwhile, the non-black start power supply at the node 3 starts to absorb electric energy for starting after the fault is 0.5h, and the electric energy generated by the wind-light device is not adopted for 1.5 hours; and then gradually reducing the output force of the energy storage device to 0, adding a non-black start power supply, and enabling the non-black start power supply to be responsible for supplying power to the loads at the recovery nodes 3, 9, 10, 11, 12 and 13, wherein electric energy generated by a wind-light device is not adopted, and the duration is 22.5 hours. The power generation cost of each power supply is shown in table 5, and the power generation planning result is shown in fig. 5.
Table 5 costs of power generation for each power supply
Fig. 5 shows that only the output of the energy storage device is positive at the time 0.5h after the fault occurs, and fig. 4 shows that nodes connected with the energy storage device have nodes 3, 8, 9, 10, 11, 12 and 13, so that the power distribution network recovers the nodes 3, 8, 9, 10, 11, 12 and 13 at the time 0.5h after the fault occurs, and the power is mainly supplied through the energy storage device, and the node 11 where the energy storage device is located is used as the area center. Since the photovoltaic devices of the No. 7 node and the No. 8 node are out of force of 0 and cannot help load recovery because the photovoltaic devices are in the absence of sunlight at night. From the 1h time to the 24h time after the fault, the center of the area becomes a No. 3 node where the non-black start power supply is located. And starting the non-black starting power supply at the 4h time after the fault by using the power supply of the energy storage device. Because the power generation cost of the non-black start power supply is far lower than the power supply cost of the energy storage device, after the non-black start power supply is started, load recovery is mainly supported by the non-black start power supply.
According to the result of the embodiment, the method can cooperate with the interconnection switch, the circuit breaker and the distributed power supply to realize the rapid recovery of the power distribution network after the blackout, and has important value for enhancing the elasticity of the power distribution network and building a strong power grid.
The invention also provides an active power distribution network fault recovery system based on dynamic island division, which comprises:
the active power distribution network operation communication component model construction module is used for constructing an active power distribution network operation communication component model based on the construction condition of a connecting line in the power distribution network and the operation characteristics of all generators in a power distribution network area;
the load recovery model construction module is used for constructing a load recovery model considering network structure limitation and micro-grid controller limitation based on the active power distribution network operation connected component model;
the dynamic island division scheme solving module is used for solving an active power distribution network operation communication component model and a load recovery model to obtain the starting time of a non-black starting power supply at each node of the power distribution network in the fault time and the on-off state of each connecting line at different moments, so as to form a dynamic island division scheme of the power distribution network in the fault time;
and the power generation planning solving module is used for establishing a power distribution network linear power flow model, solving the power distribution network linear power flow model according to a dynamic island dividing scheme, obtaining power generation plans of all the generators, and carrying out fault recovery by combining the dynamic island dividing scheme.
The invention also provides a terminal, which comprises a processor and a storage medium; the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method.
The invention also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor realizes the steps of the method.
The invention has the beneficial effects that compared with the prior art:
according to the method, an active power distribution network operation communication component model is established based on the construction condition of a connecting line in a power distribution network and the operation characteristics of each generator in a power distribution network area, a load recovery model considering network structure limitation and micro-grid controller limitation is established according to the active power distribution network operation communication component model, specifically, formulas (2) and (14) in the model are change functions of communication components and time t, the characteristics that a connecting switch and a circuit breaker can change along with time are considered, and the characteristics of flexible change of the active power distribution network structure can be accurately depicted; in the model formulas, (3) - (9) are power output models comprising a non-black start power supply, an energy storage device and a wind-light power supply, and in order to consider the output characteristics of the non-black start power supply, the states of a sectionalizing switch, a breaker and the output power of the power supply are dynamically adjusted, and the dynamic recovery models of the faults of the power distribution network, wherein the sectionalizing switch, the breaker and the power supply are mutually matched, so that the types and the quantity of the power supply in one island in the dynamic island division scheme are not limited, and the feasible solution of the dynamic island division scheme after a large power failure is expanded;
Furthermore, the dynamic island division and power generation planning combined fault recovery is realized by combining the linear power flow model of the power distribution network, and the recovery effect of the cooperative coordination of the network structure of the power distribution network and the distributed power supply is achieved, so that the power distribution network can be quickly recovered after a blackout, the operation elasticity of the power distribution network is enhanced, and theoretical support can be provided for the operation control of building a strong power grid.
Further, when the model is solved, the discrete particle swarm algorithm is improved, including that when the particle swarm is initialized, if the current distribution network structure topology of the particle cannot meet all constraint conditions, finding out all moments when the particle cannot meet the constraint conditionsIs the minimum time of (2)t 1 Then at time 0 andt 1 time of day and time of daytPerforming a mutation operation to generate a new distribution network topology, and then the particlestTime of day and time of daytPerforming a copy operation at all time periods after the moment to copy the new distribution network structure topology totTime of day and time of daytCompared with the conventional particle swarm algorithm which regenerates the structure topology of the power distribution network, whether all moments meet the constraint conditions is rechecked, the method reduces the quantity of moments to be checked, and only needs to check t moments and time intervals after t moments; when the algorithm searches the global optimal solution for the population iteration, the network topology at part of moments in the individual optimal solution and the global optimal solution is copied into particles according to inertia factors and learning factors c1 and c2, so that the optimizing capability of the algorithm is enhanced, and through the step of adding, each particle directly obtains the information of the individual optimal solution and the global optimal solution, so that whether a better scheme exists or not is searched in the next iteration according to the information.
The present disclosure may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
Computer program instructions for performing the operations of the present disclosure can be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present disclosure are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information of computer readable program instructions, which can execute the computer readable program instructions.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution 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 skilled 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 (13)

1. An active power distribution network fault recovery method based on dynamic island division is characterized by comprising the following steps:
s1: based on the construction condition of a connecting line in a power distribution network and the operation characteristics of all generators in a power distribution network area, an active power distribution network operation communication component model considering the output of multiple types of power supplies is established;
s2: based on the active power distribution network operation connected component model, a load recovery model considering network structure limitation and micro-grid controller limitation is established;
s3: solving the model established in the steps S1 and S2 to obtain the starting time of the non-black start power supply at each node of the power distribution network in the fault time and the on-off state of each connecting line at different moments, so as to form a dynamic island division scheme of the power distribution network in the fault time;
S4: and establishing a linear power flow model of the power distribution network, solving the linear power flow model of the power distribution network according to a dynamic island division scheme, obtaining the power generation plan of each generator, and carrying out fault recovery by combining the dynamic island division scheme.
2. The active power distribution network fault recovery method based on dynamic island division according to claim 1, wherein the method comprises the following steps:
the active power distribution network operation communication component model comprises a power distribution network structure model, a non-black start power supply output model at each node of the power distribution network, a wind-light power supply output model at each node of the power distribution network, an energy storage device output model at each node of the power distribution network and a node output model without a power supply in the power distribution network.
3. The active power distribution network fault recovery method based on dynamic island division according to claim 2, wherein the method comprises the following steps:
the distribution network structure model is as follows:
(1)
(2)
wherein ,x i t indicating time tiThe total number of connecting lines connected with the nodes;
for the relation between node i and node j at time t, the on-off state of each connecting line at different time points is represented by +.>Indicating that node i is connected to node j at time t, < >>Indicating that the node i and the node j are not connected at the moment t;
indicating whether a tie line containing a sectionalizer or a breaker is provided between node i and node j +. >Indicating that tie lines containing sectionalizers or breakers are installed between node i and node j +.>No tie line containing sectionalizing switch or breaker is arranged between node i and node j, and nodeiSum nodejWhen the interconnecting line fails to connect, the node is regarded asiSum nodejWithout interconnecting lines, i.e.)>The method comprises the steps of carrying out a first treatment on the surface of the N represents the number of nodes j.
4. The active power distribution network fault recovery method based on dynamic island division according to claim 2, wherein the method comprises the following steps:
the non-black start power output model at each node of the power distribution network is as follows:
(3)
(4)
(5)
(6)
wherein ,is a set of nodes containing non-black start power;
indicating time tiMaximum output of the power supply at the node;
is thatiThe non-black start power supply of the node starts at the moment, i.eiThe start-up time of the non-black start power supply at the node;
is thatiThe starting power required by the non-black starting power supply of the node;
Ttime required for non-black start power recovery phase;
is thatiMaximum uphill rate of non-black start power at the node;
is thatiMaximum output power of the power supply at the node;
t 1 the starting time is used for meeting the starting condition of the non-black starting power supply;
is the time interval between two adjacent moments;
for the non-black start power state at inode at time t, -/->Indicating that the non-black start power supply at the i node at time t has start condition +. >At tThe non-black start power supply at the i node is provided with no start condition;
is thatiThe minimum moment when the non-black start power supply of the node reaches the maximum output;
is a node set connected with the j node at the moment t through a connecting line and the node.
5. The active power distribution network fault recovery method based on dynamic island division according to claim 2, wherein the method comprises the following steps:
the wind-light power supply output model at each node of the power distribution network is as follows:
(7)
wherein ,indicating time tiMaximum output of the power supply at the node;
the predicted output of the wind-solar power supply at the i node at the t moment is shown;
is a set of nodes containing a power source;
is a set of nodes containing non-black start power;
is a collection of nodes comprising energy storage devices.
6. The active power distribution network fault recovery method based on dynamic island division according to claim 2, wherein the method comprises the following steps:
the output model of the energy storage device at each node of the power distribution network is as follows:
(8)
wherein ,representation ofaTime of dayiMaximum output of the power supply at the node;
is thattTime of day through tie lines and nodesiNode collection connected with the nodes;
representation oftTime of dayjPredicted active load at the node;
is thatiMaximum output power of the power supply at the node;
is a set of nodes comprising energy storage devices;
The total capacity of the energy storage device at the inode;
is the time interval between two adjacent moments.
7. The active power distribution network fault recovery method based on dynamic island division according to claim 2, wherein the method comprises the following steps:
the node output model without power supply in the power distribution network is as follows:
(9)
indicating time tiMaximum output of the power supply at the node;
is a set of nodes containing a power source;
ithe node is represented by a set of nodes,tindicating the time of day.
8. The active power distribution network fault recovery method based on dynamic island division according to claim 1, wherein the method comprises the following steps:
the load recovery model which is established in the S2 and considers the limitation of the network structure and the limitation of the micro-grid controller is as follows:
(10)
(11)
(12)
(13)
(14)
(15)
in the formula ,is an objective function;
Nis the total number of nodes in the network;
representing the predicted active load of the j node at the moment t;
representing the predicted active load of the i node at the time t;
respectively representing the time t and the time t-1iThe total number of connecting lines connected with the nodes;
representing the state of the inode at time t, +.>Indicating that the load at the inode at time t is restored;indicating that the load at inode at time t is not restored;
representation oftTime of dayjMaximum output of the power supply at the node;
is a node set connected with a node j through a connecting line and the node at the moment t;
Is a load weight coefficient;
is the weight coefficient of the switch operation times;
representing the total operation times of the switch of the power distribution network in the future 24 hours;
representing the relation between i node and j node at time t,/>The i node representing the moment t is connected with the j node through a connecting line or a node, and the i node represents the moment t>The i node at the moment t is represented to be connected with the j node without a connecting line or a node;
is thattMoment of time is by->An N matrix of components;
is a matrix->Is the first of (2)iA row;
is an identity matrix, wherein the elements on the main diagonal are all 1, and the rest elements are all 0;
is a matrix of 1 row and N columns, all elements of the matrix being 1;
representing a node set containing a micro-grid controller;
is a collection of nodes that contains a power supply.
9. The active power distribution network fault recovery method based on dynamic island division according to claim 1, wherein the method comprises the following steps:
in step S3, the model established by S1 and S2 is solved by using a discrete particle swarm algorithm to obtain the starting time of the non-black start power supply at each node of the power distribution network in the fault timeOn-off state of each connecting line at different time>And forming a dynamic island division scheme of the power distribution network in the fault time, wherein the discrete particle swarm algorithm flow is as follows:
(1) First, initializing a particle group:
Recording the randomly generated structure of each time period of the power distribution network as the initial position and the initial speed of the particles, wherein the generation mode of the structure of each time period of the power distribution network is as follows: first randomly generating a topology of a power distribution network structureChanging the network topology of the particles at all times into the randomly generated structure topology;
if the current distribution network structure topology of the particle cannot meet all the constraint conditions, the minimum moment in all the moments when the particle does not meet the constraint conditions is found outt 1 Then at time 0 andt 1 time of day and time of daytPerforming mutation operation to generate new power distribution network structure topologyThen the particlestTime of day and time of daytPerforming a copy operation at a time period subsequent to the time of day to copy the new distribution network topology totTime of day and time of daytThe particle initialization is completed when all constraint conditions are satisfied through replication and mutation in all time periods after the moment;
(2) After all particles are initialized, initializing a particle group:
according to the objective function, comparing the fitness of all particles, finding out the current global optimal solution, and temporarily recording the current value of each particle as the individual optimal solution to finish the initialization of the particle swarm;
(3) After the initialization of the particle swarm is completed, the algorithm searches a global optimal solution by iterating the population:
First crossing: according to inertia factors and learning factors c1 and c2, network topology at partial moments in the individual optimal solution and the global optimal solution is copied into particles, so that topology structure information of the individual optimal solution and the global optimal solution is diffused into each particle;
then iteratively updating the particle position information;
final mutation and replication: and executing the variation and replication process during initialization, ensuring that all particle records are feasible solutions until the maximum iteration number is reached, outputting the feasible solutions, and ending the algorithm.
10. The active power distribution network fault recovery method based on dynamic island division according to claim 1, wherein the method comprises the following steps:
the specific process of step S4 is as follows:
establishing a power distribution network linear power flow model, inputting the dynamic island division scheme obtained in the step S3 into the power distribution network linear power flow model, solving to obtain power generation plans of all units, and carrying out fault recovery by combining the dynamic island division scheme;
the method for carrying out fault recovery by combining the power generation planning of each unit with the dynamic island division scheme comprises the following steps:
and controlling the starting time of a non-black start power supply at each node of the power distribution network in the fault time and the on-off state of each tie line at different moments according to the dynamic island division scheme, and controlling the output of each node unit of the power distribution network in the fault time according to the power generation planning of each unit so as to realize fault recovery.
11. An active power distribution network fault recovery system based on dynamic island partitioning for operating the method of any of claims 1-10, the system comprising:
the active power distribution network operation communication component model construction module is used for constructing an active power distribution network operation communication component model considering the output of multiple types of power sources based on the construction condition of the connecting lines in the power distribution network and the operation characteristics of all the generators in the power distribution network area;
the load recovery model construction module is used for constructing a load recovery model considering network structure limitation and micro-grid controller limitation based on the active power distribution network operation connected component model;
the dynamic island division scheme solving module is used for solving an active power distribution network operation communication component model and a load recovery model to obtain the starting time of a non-black starting power supply at each node of the power distribution network in the fault time and the on-off state of each connecting line at different moments, so as to form a dynamic island division scheme of the power distribution network in the fault time;
and the power generation planning solving module is used for establishing a power distribution network linear power flow model, solving the power distribution network linear power flow model according to a dynamic island dividing scheme, obtaining power generation plans of all the generators, and carrying out fault recovery by combining the dynamic island dividing scheme.
12. A terminal comprising a processor and a storage medium; the method is characterized in that:
the storage medium is used for storing instructions;
the processor being operative according to the instructions to perform the steps of the method according to any one of claims 1-10.
13. Computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the method according to any of claims 1-10.
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CN114865625A (en) * 2022-06-09 2022-08-05 国网湖北省电力有限公司鄂州供电公司 Power distribution network fault recovery method comprising microgrid
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