CN113363987B - Master-slave fault self-healing control method and system for power distribution network - Google Patents
Master-slave fault self-healing control method and system for power distribution network Download PDFInfo
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- H—ELECTRICITY
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- 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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- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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- H02J2203/10—Power 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
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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
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/20—Systems supporting electrical power generation, transmission or distribution using protection elements, arrangements or systems
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- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- 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
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
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Abstract
The application discloses a master-slave fault self-healing control method and system for a power distribution network. Wherein the method comprises the following steps: determining a master-slave type fault self-healing control framework of the power distribution network, adopting distributed slave control to control the action of a tie switch to finish power supply recovery of a power loss area, adopting centralized master control to solve the optimal combination of the tie switch and a sectionalizing switch of the power distribution network, and adjusting the running state of the power distribution network to be recovered to an optimal state; initializing a power distribution network topological structure and electrical quantity parameters after fault branch circuit removal according to power distribution network measurement unit measurement data, wherein the electrical quantity parameters comprise node voltage, branch circuit current and load power; executing a fault self-healing control slave control scheme of the power distribution network, and making a power distribution network tie switch action scheme to be recovered; executing a power distribution network fault self-healing control main control scheme, calculating the optimal combination of all the sectionalizing switches and the interconnecting switches of the network, and optimizing the running state of the power distribution network.
Description
Technical Field
The application relates to the technical field of power systems, in particular to a power distribution network master-slave fault self-healing control method and system.
Background
The distribution network carries the heavy duty of delivering stable electrical energy for production and life. With the continuous improvement of urban development, the power supply load density of the power distribution network is obviously increased, and the load variety is strong; the power quality requirements of sensitive loads and important loads are increasingly improved, and the safety and reliability of the power distribution network are particularly important. However, the structure of the distribution network is complex, the reliability of the distribution network is limited by elements, environment and other factors, and faults are unavoidable. And the power distribution network is generally in a radial passive structure, each node obtains only a unique path for power transmitted by a generator node, and a fault trip is liable to cause partial region power loss.
At present, the short-time power failure phenomenon of the power distribution network is more frequent, the production and the life of the dependent power are influenced, and certain economic loss is caused, so that the importance of the self-healing function of the power distribution network is self-evident. The fault self-healing control becomes an important characteristic of the current intelligent power distribution network, and the effective self-healing control technology is an important guarantee for improving the power supply safety, reliability and economy of the power distribution network. The fault self-healing control of the power distribution network needs to quickly cut off faults, power loss load transfer of the power distribution network is automatically carried out, the power outage range is reduced, the power outage time is shortened, and the continuous power supply capacity of the power distribution network is guaranteed to the greatest extent.
Under normal conditions, the switching action is required to be controlled rapidly after the fault occurs, the power supply in the power losing area is recovered, and the power supply reliability of the power distribution network is ensured. However, most of existing fault self-healing control is based on intelligent optimization algorithm, and faces the characteristics of numerous nodes of a power distribution network, complex network topology structure, variational electrical parameters and the like, the solving process is restricted by numerous constraint conditions, and a large amount of iterative computation is needed to test errors and find an optimal solution, so that the solving speed is slow; in addition, the power distribution network line resistance cannot be ignored, active and reactive power is difficult to decouple, the calculation amount of iterative solution is further increased, the calculation time of a power supply recovery scheme is long, and the requirement on rapidity of power distribution network fault self-healing recovery is difficult to meet.
Disclosure of Invention
The embodiment of the disclosure provides a power distribution network master-slave fault self-healing control method and system, which at least solve the technical problem of insufficient power supply reliability of a power distribution network caused by low power supply recovery speed due to the fact that an existing self-healing control scheme is based on intelligent optimization algorithm global optimization solution in the prior art.
According to an aspect of the disclosed embodiments, there is provided a power distribution network master-slave fault self-healing control method, including: determining a master-slave type fault self-healing control framework of the power distribution network, adopting distributed slave control to control the action of a tie switch to finish power supply recovery of a power loss area, adopting centralized master control to solve the optimal combination of the tie switch and a sectionalizing switch of the power distribution network, and adjusting the running state of the power distribution network to be recovered to an optimal state; initializing a power distribution network topological structure and electrical quantity parameters after fault branch circuit removal according to power distribution network measurement unit measurement data, wherein the electrical quantity parameters comprise node voltage, branch circuit current and load power; executing a fault self-healing control slave control scheme of the power distribution network, and making a power distribution network tie switch action scheme to be recovered; executing a power distribution network fault self-healing control main control scheme, calculating the optimal combination of all the sectionalizing switches and the interconnecting switches of the network, and optimizing the running state of the power distribution network.
According to another aspect of the embodiments of the present disclosure, there is also provided a master-slave fault self-healing control system for a power distribution network, including: the determining control architecture module is used for determining a master-slave type fault self-healing control architecture of the power distribution network, adopting distributed slave control to control the action of the tie switch to complete power supply recovery of a power loss area, adopting centralized master control to solve the optimal combination of the tie switch and the sectionalizing switch of the power distribution network, and adjusting the running state of the power distribution network to be recovered to an optimal state; the power distribution network monitoring system comprises an initialization module, a power distribution network monitoring module and a power distribution network monitoring module, wherein the initialization module is used for initializing a power distribution network topological structure and electrical quantity parameters after fault branch circuit removal according to power distribution network measurement unit measurement data, and the electrical quantity parameters comprise node voltage, branch circuit current and load power; the execution slave control scheme module is used for executing the fault self-healing control slave control scheme of the power distribution network and making a power distribution network tie switch action scheme to be recovered; the execution master control scheme module is used for executing a power distribution network fault self-healing control master control scheme, calculating the optimal combination of all the sectionalizing switches and the interconnecting switches of the network, and optimizing the running state of the power distribution network.
The invention provides a master-slave fault self-healing control method for a power distribution network. By adopting a double-layer control scheme of distributed slave control and centralized master control, two targets of optimal power supply recovery speed and power supply state are separated: based on the rapid calculation of the slave control, a better power supply recovery scheme is determined, the action of the contact switch is controlled, and the power supply recovery is rapidly realized; and determining a switch combination state under the optimal running state of the power distribution network based on global optimization of the master control, and controlling the actions of the interconnection switch and the sectionalizing switch. The power supply recovery time can be greatly shortened, and the method has practical value for power distribution network fault self-healing control. The method solves the contradiction between two targets of power supply recovery time and optimal state after recovery in the existing self-healing control scheme, can enable the power supply of the fault power-losing area to be recovered more quickly, and simultaneously adopts an intelligent optimization algorithm to realize optimal operation of the power distribution network, thereby providing reference for self-healing recovery of the power distribution network fault.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate and explain the present disclosure, and together with the description serve to explain the present disclosure. In the drawings:
FIG. 1 is a schematic diagram of a power distribution network master-slave fault self-healing control method according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of a master-slave self-healing control implementation of a power distribution network according to an embodiment of the present disclosure;
FIG. 3 is a diagram of an IEEE33 node topology in accordance with an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of an IEEE33 node tie switch numbering scheme according to an embodiment of the disclosure;
FIG. 5a is a graph of electrical distance relationships between nodes during normal operation according to an embodiment of the present disclosure;
FIG. 5b is a graph of electrical distance between nodes after 5-6 branch fault removal according to an embodiment of the present disclosure;
FIG. 5c is a graph of electrical distance between nodes after tie switches 8-21 are closed according to an embodiment of the present disclosure;
FIG. 5d is a graph of electrical distance between closed nodes of tie switches 12-22 according to an embodiment of the present disclosure;
FIG. 5e is a graph of electrical distance between closed nodes of tie switches 25-29 according to an embodiment of the present disclosure;
FIG. 6 is a graph of node electrical distance similarity dynamics according to an embodiment of the present disclosure;
FIG. 7 is a topology result diagram of a power distribution network after power restoration from control according to an embodiment of the present disclosure;
FIG. 8 is a topology block diagram of a power distribution network after master optimization run according to an embodiment of the present disclosure;
fig. 9 is a schematic diagram of a power distribution network master-slave fault self-healing control system according to an embodiment of the present disclosure.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the examples described herein, which are provided to fully and completely disclose the present invention and fully convey the scope of the invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, like elements/components are referred to by like reference numerals.
Unless otherwise indicated, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. In addition, it will be understood that terms defined in commonly used dictionaries should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
According to a first aspect of the present application, a power distribution network master-slave fault self-healing control method 100 is provided. Referring to fig. 1, the method includes:
S102, determining a master-slave type fault self-healing control architecture of the power distribution network, adopting distributed slave control to control the action of a tie switch to complete power supply recovery of a power loss area, adopting centralized master control to solve the optimal combination of the tie switch and a sectionalizing switch of the power distribution network, and adjusting the running state of the power distribution network to be recovered to an optimal state;
S104, initializing a power distribution network topological structure and electrical quantity parameters after fault branch circuit removal according to power distribution network measurement unit measurement data, wherein the electrical quantity parameters comprise node voltage, branch circuit current and load power;
S106, executing a fault self-healing control slave control scheme of the power distribution network, and making a power distribution network tie switch action scheme to be recovered;
S108, executing a power distribution network fault self-healing control main control scheme, calculating the optimal combination of all the sectionalizing switches and the interconnecting switches of the network, and optimizing the running state of the power distribution network.
Specifically, a master-slave type self-healing control flow of the power distribution network is shown in fig. 2. Referring to fig. 3, taking IEEE33 node as an example, the calculation is performed by the method of the present invention:
The first step: and determining a master-slave fault self-healing control architecture of the power distribution network. The slave control adopts distributed computation to quickly control the action of the contact switch and quickly complete the power restoration of the power failure area; and the main control adopts centralized control, solves the optimal combination of the interconnection switch and the sectionalizing switch of the power distribution network, and adjusts the running state of the power distribution network to be recovered to be approximately optimal.
And a second step of: initializing electric quantity parameters such as node voltage, branch current, load power and the like of the power distribution network after fault branch circuit removal according to measurement data of a power distribution network measurement unit;
The branch impedance and node load data for the IEEE33 node are as follows:
TABLE 1 IEEE33 node parameters
And a third step of: executing a power distribution network fault self-healing control slave control scheme, and making a power distribution network tie switch action scheme to be recovered, wherein the specific process is as follows:
a: according to the topology structure of the power distribution network to be recovered, calculating a tie switch combination scheme, and determining a feasible alternative power supply recovery scheme:
(1) Determining a tie switch combination scheme:
The IEEE33 node distribution network has 5 interconnection switch branches, when the power supply is recovered from control, no more than 5 interconnection switches can be closed, and the combination of the interconnection switches has p=25-1=31.
(2) Checking the topological structure of the power distribution network:
the number of the interconnection switch is shown in fig. 4, whether the power loss area of the distribution network can recover power supply and keep radial operation under each interconnection switch combination scheme is checked, and the check result is as follows:
table 2 Power distribution network tie switch combination scheme verification
After passing the verification, 3 alternative power supply recovery schemes meeting the conditions are provided:
scheme 1: the contact switches 8-21 are closed
Scheme 2: the contact switches 12-22 are closed
Scheme 3: the contact switches 25-29 are closed
B: under a polar coordinate system, power flow Jacobian block matrixes of the power distribution network are respectively calculated when different power supply recovery schemes are adopted:
wherein: Namely, a power flow Jacobian block matrix; /(I) Is the bias of delta P to delta T; /(I)Is the bias of delta P to U T; /(I)Is the bias of delta Q to delta T; /(I)Is the bias of delta Q to delta T;
c: neglecting the effect of active power disturbance on the voltage, i.e. let Δp=0, calculating the reactive-voltage sensitivity matrix using the power flow jacobian block matrix:
ΔQ＝(L-MH-1N)ΔU
Wherein: s= (L-MH -1N)-1 is the reactive-voltage sensitivity matrix;
d: carrying out per unit on the reactive power-voltage sensitivity matrix, and calculating the coupling relation between nodes by using the Euclidean distance formula, namely, the electric distance:
(1) Standard deviation transformation:
performing standard deviation transformation on elements in the reactive power-voltage sensitivity matrix S:
Wherein: i. j corresponds to a node i and nodes j, i, j E [0,1] in the power distribution network, and n is the number of nodes of the power distribution network; the mean value of the j-th column element of the matrix S; /(I) Standard deviation for the j-th column element;
(2) Extremely bad transformation:
performing extremely bad transformation on the matrix alpha after S normalization:
Wherein: x ij is the per unit value of the voltage influence capability of the reactive change of the node j on the node i, and x ij epsilon [0,1];
(3) Euclidean electrical distance:
The electrical distance between nodes is defined based on Euclidean method by using per-unit reactive-voltage matrix x:
Wherein: ED ij represents the electrical distance between node i and node j, the greater ED ij∈[0,1],EDij, the tighter the electrical connection between node i and node j;
the calculation results of the electrical distance relationship between the nodes under each operation condition are shown in fig. 5 (fig. 5a, 5b, 5c, 5d, 5 e).
E: based on the electric distance matrix under each power supply restoration scheme, calculating the similarity of the electric distance matrix, determining the restoration power supply scheme, and controlling the action of the contact switch:
(1) Calculating cosine similarity of each electric distance matrix and the electric distance matrix in normal operation:
Wherein: a ij is each component of the electrical distance matrix during normal operation; b ij is an electrical distance matrix for calculating similarity with the A, and comprises an electrical distance matrix in normal operation and an electrical distance matrix under each power supply recovery scheme;
The calculation result of the sum of the electric distance similarity changes of each node under each operation condition is shown in fig. 6.
(2) Calculating an average value of the cosine similarity of the electric distance:
And (3) respectively calculating cosine similarity average values under each scene:
TABLE 3 average value of similarity of electric distance matrix
(3) Determining a slave control power supply recovery scheme, controlling a tie switch to act, and recovering power supply in a power failure area:
The power supply recovery scheme corresponding to the similarity average value closest to the normal operation is used as the slave control power supply recovery scheme, namely the contact switches 25-29 are closed to recover the power supply of the power failure area, and the topology of the recovered power distribution network is shown in fig. 7;
Fourth step: executing a power distribution network fault self-healing control main control scheme, calculating the optimal combination of all sectional switches and interconnection switches of a network, and optimizing the running state of the power distribution network, wherein the specific process is as follows:
A: determining an optimized operation objective function of the power distribution network:
(1) The minimum active loss of the power distribution network is taken as a target:
Wherein: l is the total branch number of the power distribution network; k i is the state of the ith branch, k i =0 is the branch is open, k i =1 is the branch is closed; r i is the resistance value of the ith branch; u i represents the voltage amplitude of the end node of the ith branch; p i、Qi represents the active power and the reactive power injected by the end node of the ith branch respectively;
(2) The minimum voltage deviation of nodes of the power distribution network is taken as a target:
wherein: u i is the actual voltage of node i; u iN represents the rated voltage of node i;
(3) Constructing a comprehensive objective function:
min f＝w1f1+w2f2
w1+w2＝1
0≤w1≤1
0≤w2≤1
Wherein: w 1,w2 is the weight coefficient of the active network loss and the voltage deviation respectively;
B: determining network operation constraint conditions:
(1) Power constraint conditions of each tide of the power distribution network:
Wherein: p i、Qi is the magnitude of the active and reactive power injected into node i, respectively; u i、Uj is the amplitude of the voltage of the node i and the node j respectively; g ij、Bij is the conductance and susceptance between nodes i, j; delta ij is the voltage phase difference of nodes i, j;
(2) Voltage constraint conditions of each node of the power distribution network:
Uimin≤Ui≤Uimax
Wherein: u i is the voltage amplitude of node i; u imax、Uimin is the maximum voltage amplitude and the minimum voltage amplitude of the node i respectively;
(3) Current constraint conditions of each branch of the power distribution network:
Ik≤Ikmax
Wherein: i k、Ikmax is the current magnitude of branch k and the maximum current allowed to pass;
(4) Constraint conditions of capacity of each branch of the power distribution network are as follows:
Sk≤Skmax
wherein: s k、Skmax is the magnitude of the power transmitted by the branch k and the maximum allowable power transmitted respectively;
(5) Constraint conditions of network topology of power distribution network:
Maintaining the power distribution network to be in a radial topology;
C: and adopting a genetic algorithm to carry out iterative solution, calculating an optimal switch combination of the power distribution network meeting the constraint conditions, controlling actions of the interconnection switch and the sectionalizing switch, and adjusting the running state of the power distribution network to be approximately optimal.
The optimal switch combination scheme of the power distribution network is calculated as follows:
according to the optimal combination, the optimized power distribution network topology is shown in fig. 8, and the power distribution network is in an optimal running state.
Therefore, a master-slave fault self-healing control method for the power distribution network is provided. By adopting a double-layer control scheme of distributed slave control and centralized master control, two targets of optimal power supply recovery speed and power supply state are separated: based on the rapid calculation of the slave control, a better power supply recovery scheme is determined, the action of the contact switch is controlled, and the power supply recovery is rapidly realized; and determining a switch combination state under the optimal running state of the power distribution network based on global optimization of the master control, and controlling the actions of the interconnection switch and the sectionalizing switch. The power supply recovery time can be greatly shortened, and the method has practical value for power distribution network fault self-healing control. The method solves the contradiction between two targets of power supply recovery time and optimal state after recovery in the existing self-healing control scheme, can enable the power supply of the fault power-losing area to be recovered more quickly, and simultaneously adopts an intelligent optimization algorithm to realize optimal operation of the power distribution network, thereby providing reference for self-healing recovery of the power distribution network fault.
Optionally, executing a power distribution network fault self-healing control slave control scheme, and formulating a power distribution network tie switch action scheme to be recovered, including: determining a tie switch combination scheme according to the topology structure of the power distribution network to be recovered, and determining a feasible alternative power supply recovery scheme; under a polar coordinate system, respectively calculating power flow Jacobian block matrixes of the power distribution network when different power supply recovery schemes are adopted; neglecting the influence of active power disturbance on voltage, and calculating a reactive power-voltage sensitivity matrix by using the power flow Jacobian block matrix; performing per unit on the reactive power-voltage sensitivity matrix, calculating a coupling relation between nodes by using a Euclidean distance formula, and determining Euclidean electric distance; and calculating the similarity of an electric distance matrix based on the Euclidean electric distances under each power supply restoration scheme, determining a restoration power supply scheme, and controlling the action of the interconnection switch.
Optionally, determining a tie switch combination scheme according to the topology structure of the power distribution network to be recovered, and determining a feasible alternative power supply recovery scheme includes: determining a tie switch combination scheme: when the power distribution network is provided with r interconnection switch branches and the power is recovered from control, the r interconnection switches can be closed, and the total number of the interconnection switches is p:
Checking the topological structure of the power distribution network: and checking p kinds of tie switch combination schemes, and screening a scheme which can enable the power loss area of the power distribution network to restore power supply and enables the power distribution network to maintain radial topology as a slave power supply restoration alternative scheme.
Optionally, in the polar coordinate system, respectively calculating power flow jacobian block matrices of the power distribution network when different power supply recovery schemes are adopted, including: and respectively calculating power flow Jacobian block matrixes of the power distribution network when different power supply recovery schemes are adopted according to the following formulas:
Wherein the method comprises the steps of Namely, a power flow Jacobian block matrix; /(I)Is the partial derivative of delta P to delta T; /(I)Is the bias of delta P to U T; /(I)Is the bias of delta Q to delta T; /(I)Is the bias of DeltaQ to Delta T.
Optionally, neglecting the effect of active power disturbance on voltage, calculating a reactive-voltage sensitivity matrix using the power flow jacobian block matrix, including:
ΔQ＝(L-MH-1N)ΔU
Wherein s= (L-MH -1N)-1, a reactive-voltage sensitivity matrix).
Optionally, performing per unit on the reactive-voltage sensitivity matrix, calculating a coupling relationship between nodes by using a euclidean distance formula, and determining the euclidean electrical distance includes: performing standard deviation transformation on elements in the reactive power-voltage sensitivity matrix S:
Wherein i and j correspond to a node i and a node j, i, j E [0,1] in the power distribution network, and n is the number of nodes of the power distribution network; the mean value of the j-th column element of the matrix S; /(I) Standard deviation for the j-th column element;
performing extremely bad transformation on the matrix alpha after S normalization:
Wherein x ij is the per unit value of the voltage influence capability of the reactive change of the node j on the node i, x ij epsilon [0,1]; the Euclidean electrical distance between nodes is defined based on Euclidean method by using per-unit reactive-voltage matrix x:
Where ED ij represents the Euclidean electrical distance between node i and node j, ED ij ε [0,1].
Optionally, calculating the similarity of the electrical distance matrix based on the euclidean electrical distance under each power restoration scheme, determining a restoration power scheme, and controlling the action of the tie switch, including: calculating cosine similarity of each electric distance matrix and the electric distance matrix in normal operation:
Wherein A ij is each component of the electrical distance matrix during normal operation; b ij is an electrical distance matrix for calculating similarity with the A, and comprises an electrical distance matrix in normal operation and an electrical distance matrix under each power supply recovery scheme; calculating an average value of the cosine similarity of the electric distance: and (3) respectively calculating cosine similarity average values under each scene:
and determining a slave control power supply recovery scheme, controlling the action of the interconnection switch, and recovering the power supply of the power failure area.
Optionally, executing a power distribution network fault self-healing control master control scheme, calculating an optimal combination of all the sectionalizing switches and the tie switches of the network, and optimizing the running state of the power distribution network, including: determining an optimized operation objective function of the power distribution network; determining network operation constraint conditions; and adopting a genetic algorithm to carry out iterative solution, calculating an optimal switch combination of the power distribution network meeting the network operation constraint condition according to the optimal operation objective function of the power distribution network, controlling actions of a tie switch and a sectionalizing switch, and adjusting the operation state of the power distribution network to be optimal.
Optionally, determining the optimized operation objective function of the power distribution network includes: the minimum active loss of the power distribution network is taken as a target:
Wherein l is the total branch number of the power distribution network; k i is the state of the ith branch, k i =0 is the branch is open, k i =1 is the branch is closed; r i is the resistance value of the ith branch; u i represents the voltage amplitude of the end node of the ith branch; p i、Qi represents the active power and the reactive power injected by the end node of the ith branch respectively;
the minimum voltage deviation of nodes of the power distribution network is taken as a target:
Wherein U i is the actual voltage of node i; u iN represents the rated voltage of node i;
constructing a comprehensive objective function:
minf＝w1f1+w2f2
w1+w2＝1
0≤w1≤1
0≤w2≤1
Wherein w 1,w2 is the weight coefficient of the active power loss and the voltage deviation respectively.
Optionally, determining the network operation constraint includes:
determining power constraint conditions of all power flows of the power distribution network:
Wherein P i、Qi is the size of the active power and the reactive power injected into the node i respectively; ui and Uj are the amplitude values of the voltages of the nodes i and j respectively; gij, bij are conductance and susceptance between nodes i, j; δij is the voltage phase difference of nodes i and j;
Determining voltage constraint conditions of all nodes of the power distribution network:
Uimin≤Ui≤Uimax
Wherein U i is the voltage amplitude of node i; u imax、Uimin is the maximum voltage amplitude and the minimum voltage amplitude of the node i respectively;
determining current constraint conditions of each branch of the power distribution network:
Ik≤Ikmax
wherein, I k、Ikmax is the current magnitude of branch k and the maximum current allowed to pass;
Determining capacity constraint conditions of each branch of the power distribution network:
Sk≤Skmax
s k、Skmax is the magnitude of the power transmitted by the branch k and the maximum allowable power transmitted respectively;
and determining the constraint condition of the network topology structure of the power distribution network, and keeping the power distribution network in a radial topology.
Therefore, a master-slave fault self-healing control method for the power distribution network is provided. By adopting a double-layer control scheme of distributed slave control and centralized master control, two targets of optimal power supply recovery speed and power supply state are separated: based on the rapid calculation of the slave control, a better power supply recovery scheme is determined, the action of the contact switch is controlled, and the power supply recovery is rapidly realized; and determining a switch combination state under the optimal running state of the power distribution network based on global optimization of the master control, and controlling the actions of the interconnection switch and the sectionalizing switch. The power supply recovery time can be greatly shortened, and the method has practical value for power distribution network fault self-healing control. The method solves the contradiction between two targets of power supply recovery time and optimal state after recovery in the existing self-healing control scheme, can enable the power supply of the fault power-losing area to be recovered more quickly, and simultaneously adopts an intelligent optimization algorithm to realize optimal operation of the power distribution network, thereby providing reference for self-healing recovery of the power distribution network fault.
According to another aspect of the present application, there is also provided a power distribution network master-slave fault self-healing control system 900. Referring to fig. 9, the system 900 includes: the determining control architecture module 910 is configured to determine a master-slave fault self-healing control architecture of the power distribution network, control the action of the tie switch by adopting distributed slave control, complete power supply recovery in a power loss area, solve an optimal combination of the tie switch and the sectionalizing switch of the power distribution network by adopting centralized master control, and adjust the running state of the power distribution network to be recovered to an optimal state; the initialization module 920 is configured to initialize a topology structure of the power distribution network and electrical parameters after the fault branch is removed according to the measurement data of the power distribution network measurement unit, where the electrical parameters include node voltage, branch current and load power; the execution slave control scheme module 930 is configured to execute a power distribution network fault self-healing control slave control scheme, and formulate a power distribution network tie switch action scheme to be recovered; and the execution master control scheme module 940 is used for executing a power distribution network fault self-healing control master control scheme, calculating the optimal combination of all the sectionalizing switches and the interconnecting switches of the network, and optimizing the running state of the power distribution network.
Optionally, executing the slave scheme module 930 includes: the method comprises the steps of determining an alternative power supply recovery sub-module, determining a tie switch combination scheme according to a power distribution network topological structure to be recovered, and determining a feasible alternative power supply recovery scheme; the power flow Jacobian block matrix sub-module is used for respectively calculating power flow Jacobian block matrixes of the power distribution network when different power supply recovery schemes are adopted under a polar coordinate system; the reactive power-voltage sensitivity matrix submodule is used for neglecting the influence of active power disturbance on voltage, and the reactive power-voltage sensitivity matrix is calculated by using the power flow Jacobian block matrix; the Euclidean electric distance ion module is used for carrying out per unit on the reactive power-voltage sensitivity matrix, calculating the coupling relation between nodes by using the Euclidean distance formula, and determining the Euclidean electric distance; and the control interconnection switch action sub-module is used for calculating the similarity of the electric distance matrix based on the Euclidean electric distances under each power supply restoration scheme, determining the restoration power supply scheme and controlling the interconnection switch action.
Optionally, determining the alternative power restoration compound case sub-module includes: a unit for determining a tie switch combination scheme: when the power distribution network is provided with r interconnection switch branches and the power is recovered from control, the r interconnection switches can be closed, and the total number of the interconnection switches is p:
And verifying the topological structure unit of the power distribution network, wherein the verification unit is used for verifying the topological structure of the power distribution network: and checking p kinds of tie switch combination schemes, and screening a scheme which can enable the power loss area of the power distribution network to restore power supply and enables the power distribution network to maintain radial topology as a slave power supply restoration alternative scheme.
Optionally, the calculating power flow jacobian block matrix submodule includes: and the power flow Jacobian block matrix calculating unit is used for respectively calculating power flow Jacobian block matrixes of the power distribution network when different power supply recovery schemes are adopted according to the following formulas:
Wherein the method comprises the steps of Namely, a power flow Jacobian block matrix; /(I)Is the partial derivative of delta P to delta T; /(I)Is the bias of delta P to U T; /(I)Is the bias of delta Q to delta T; /(I)Is the bias of DeltaQ to Delta T.
Optionally, the calculating reactive-voltage sensitivity matrix submodule includes: and the reactive power-voltage sensitivity matrix calculating unit is used for calculating a reactive power-voltage sensitivity matrix by using the power flow Jacobian block matrix according to the following formula:
ΔQ＝(L-MH-1N)ΔU
Wherein s= (L-MH -1N)-1, a reactive-voltage sensitivity matrix).
Optionally, determining the euclidean electrical distance ion module includes: the standard deviation conversion unit is used for carrying out standard deviation conversion on the elements in the reactive power-voltage sensitivity matrix S:
Wherein i and j correspond to a node i and a node j, i, j E [0,1] in the power distribution network, and n is the number of nodes of the power distribution network; the mean value of the j-th column element of the matrix S; /(I) Standard deviation for the j-th column element;
the range conversion unit is used for carrying out range conversion on the matrix alpha after S normalization:
Wherein x ij is the per unit value of the voltage influence capability of the reactive change of the node j on the node i, x ij epsilon [0,1];
A euclidean electrical distance unit is defined for defining euclidean electrical distances between nodes based on euclidean method using per-unit reactive-voltage matrix x:
Where ED ij represents the Euclidean electrical distance between node i and node j, ED ij ε [0,1].
Optionally, the control tie switch action sub-module includes: the electric distance matrix cosine similarity calculating unit is used for calculating the electric distance matrix cosine similarity between each electric distance matrix and the normal operation:
Wherein A ij is each component of the electrical distance matrix during normal operation; b ij is an electrical distance matrix for calculating similarity with the A, and comprises an electrical distance matrix in normal operation and an electrical distance matrix under each power supply recovery scheme;
The cosine similarity average value calculating unit is used for calculating an electric distance cosine similarity average value: and (3) respectively calculating cosine similarity average values under each scene:
and the control interconnection switch action unit is used for determining a slave control power supply recovery scheme, controlling the interconnection switch action and recovering the power supply of the power failure area.
Optionally, executing the master control scheme module 940 includes: the determining objective function sub-module is used for determining an optimized operation objective function of the power distribution network; a determining constraint condition sub-module for determining a network operation constraint condition; and the power distribution network operation state adjusting sub-module is used for adopting a genetic algorithm to carry out iterative solution, calculating the optimal switch combination of the power distribution network meeting the network operation constraint condition according to the power distribution network optimization operation objective function, controlling the actions of the interconnection switch and the sectionalizing switch, and adjusting the power distribution network operation state to be optimal.
Optionally, determining the objective function sub-module includes: determining an active loss minimum target unit, wherein the active loss minimum target unit is used for targeting the minimum active loss of the power distribution network:
Wherein l is the total branch number of the power distribution network; k i is the state of the ith branch, k i =0 is the branch is open, k i =1 is the branch is closed; r i is the resistance value of the ith branch; u i represents the voltage amplitude of the end node of the ith branch; p i、Qi represents the active power and the reactive power injected by the end node of the ith branch respectively;
Determining a minimum voltage deviation target unit, wherein the minimum voltage deviation target unit is used for taking the minimum voltage deviation of nodes of the power distribution network as a target:
/>
Wherein U i is the actual voltage of node i; u iN represents the rated voltage of node i;
A building integrated objective function unit for building an integrated objective function:
minf＝w1f1+w2f2
w1+w2＝1
0≤w1≤1
0≤w2≤1
Wherein w 1,w2 is the weight coefficient of the active power loss and the voltage deviation respectively.
Optionally, determining the constraint sub-module includes:
the power constraint condition determining unit is used for determining the power constraint condition of each power flow of the power distribution network:
Wherein P i、Qi is the size of the active power and the reactive power injected into the node i respectively; ui and Uj are the amplitude values of the voltages of the nodes i and j respectively; gij, bij are conductance and susceptance between nodes i, j; δij is the voltage phase difference of nodes i and j;
the voltage constraint condition determining unit is used for determining the voltage constraint condition of each node of the power distribution network:
Uimin≤Ui≤Uimax
Wherein U i is the voltage amplitude of node i; u imax、Uimin is the maximum voltage amplitude and the minimum voltage amplitude of the node i respectively;
the unit for determining the current constraint condition of each branch is used for determining the current constraint condition of each branch of the power distribution network:
Ik≤Ikmax
wherein, I k、Ikmax is the current magnitude of branch k and the maximum current allowed to pass;
the unit for determining the capacity constraint condition of each branch is used for determining the capacity constraint condition of each branch of the power distribution network:
Sk≤Skmax
s k、Skmax is the magnitude of the power transmitted by the branch k and the maximum allowable power transmitted respectively;
the network topology constraint condition determining unit is used for determining network topology constraint conditions of the power distribution network and keeping the power distribution network in a radial topology.
The frame dispersion receiving tracing system 500 based on electro-optical homology according to the embodiment of the present invention corresponds to the frame dispersion receiving tracing method 100 based on electro-optical homology according to another embodiment of the present invention, and will not be described herein.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 scheme in the embodiment of the application can be realized by adopting various computer languages, such as object-oriented programming language Java, an transliteration script language JavaScript and the like.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (1)
1. The master-slave fault self-healing control method for the power distribution network is characterized by comprising the following steps of:
determining a master-slave type fault self-healing control framework of the power distribution network, adopting distributed slave control to control the action of a tie switch to finish power supply recovery of a power loss area, adopting centralized master control to solve the optimal combination of the tie switch and a sectionalizing switch of the power distribution network, and adjusting the running state of the power distribution network to be recovered to an optimal state;
initializing a power distribution network topological structure and electrical quantity parameters after fault branch circuit removal according to power distribution network measurement unit measurement data, wherein the electrical quantity parameters comprise node voltage, branch circuit current and load power;
executing a fault self-healing control slave control scheme of the power distribution network, and making a power distribution network tie switch action scheme to be recovered;
Executing a power distribution network fault self-healing control main control scheme, calculating the optimal combination of all the sectionalizing switches and the interconnecting switches of the network, and optimizing the running state of the power distribution network;
executing a power distribution network fault self-healing control slave control scheme, formulating a power distribution network tie switch action scheme to be recovered, and comprising the following steps: determining a tie switch combination scheme according to the topology structure of the power distribution network to be recovered, and determining a feasible alternative power supply recovery scheme; under a polar coordinate system, respectively calculating power flow Jacobian block matrixes of the power distribution network when different power supply recovery schemes are adopted; neglecting the influence of active power disturbance on voltage, and calculating a reactive power-voltage sensitivity matrix by using the power flow Jacobian block matrix; performing per unit on the reactive power-voltage sensitivity matrix, calculating a coupling relation between nodes by using a Euclidean distance formula, and determining Euclidean electric distance; based on the Euclidean electric distance under each power supply restoration scheme, calculating the similarity of an electric distance matrix, determining a restoration power supply scheme, and controlling the action of a tie switch;
According to the topology structure of the power distribution network to be recovered, determining a tie switch combination scheme and a feasible alternative power supply recovery scheme, wherein the method comprises the following steps: determining a tie switch combination scheme: when the power distribution network is provided with r interconnection switch branches and the power is recovered from control, the r interconnection switches can be closed, and the total number of the interconnection switches is p:
Checking the topological structure of the power distribution network: checking p tie switch combination schemes, and screening a scheme which can enable a power loss area of the power distribution network to restore power supply and enables the power distribution network to maintain radial topology as a slave power supply restoration alternative scheme;
Under a polar coordinate system, respectively calculating power flow Jacobian block matrixes of the power distribution network when different power supply recovery schemes are adopted, wherein the power flow Jacobian block matrixes comprise: and respectively calculating power flow Jacobian block matrixes of the power distribution network when different power supply recovery schemes are adopted according to the following formulas:
Wherein the method comprises the steps of Namely, a power flow Jacobian block matrix; /(I)Is the bias of delta P to delta T; /(I)Is the bias of delta P to U T; /(I)Is the bias of delta Q to delta T; /(I)Is the bias of DeltaQ to U T;
Neglecting the effect of active power disturbance on voltage, calculating a reactive-voltage sensitivity matrix by using the power flow Jacobian block matrix, comprising:
ΔQ＝(L-MH-1N)ΔU
wherein s= (L-MH -1N)-1 is a reactive-voltage sensitivity matrix;
Performing per unit on the reactive power-voltage sensitivity matrix, calculating a coupling relation between nodes by using a Euclidean distance formula, and determining the Euclidean electric distance, wherein the method comprises the following steps: performing standard deviation transformation on elements in the reactive power-voltage sensitivity matrix S:
Wherein i and j correspond to a node i and a node j, i, j E [0,1] in the power distribution network, and n is the number of nodes of the power distribution network; the mean value of the j-th column element of the matrix S; /(I) Standard deviation for the j-th column element;
performing extremely bad transformation on the matrix alpha after S normalization:
Wherein x ij is the per unit value of the voltage influence capability of the reactive change of the node j on the node i, x ij epsilon [0,1]; the Euclidean electrical distance between nodes is defined based on Euclidean method by using per-unit reactive-voltage matrix x:
Where ED ij represents the Euclidean electrical distance between node i and node j, ED ij ε [0,1];
Based on the euclidean electrical distance under each power restoration scheme, calculating an electrical distance matrix similarity, determining a restoration power scheme, and controlling a tie switch to act, including: calculating cosine similarity of each electric distance matrix and the electric distance matrix in normal operation:
Wherein A ij is each component of the electrical distance matrix during normal operation; b ij is an electrical distance matrix for calculating similarity with the A, and comprises an electrical distance matrix in normal operation and an electrical distance matrix under each power supply recovery scheme; calculating an average value of the cosine similarity of the electric distance: and (3) respectively calculating cosine similarity average values under each scene:
determining a slave control power supply recovery scheme, controlling the action of a tie switch, and recovering power supply of a power failure area;
executing a power distribution network fault self-healing control main control scheme, calculating the optimal combination of all sectional switches and tie switches of a network, and optimizing the running state of the power distribution network, wherein the method comprises the following steps of: determining an optimized operation objective function of the power distribution network; determining network operation constraint conditions; adopting a genetic algorithm to carry out iterative solution, calculating an optimal switch combination of the power distribution network meeting the network operation constraint condition according to the optimal operation objective function of the power distribution network, controlling actions of a tie switch and a sectionalizing switch, and adjusting the operation state of the power distribution network to be optimal;
Determining an optimized operation objective function of the power distribution network, comprising: the minimum active loss of the power distribution network is taken as a target:
Wherein l is the total branch number of the power distribution network; k i is the state of the ith branch, k i =0 is the branch is open, k i =1 is the branch is closed; r i is the resistance value of the ith branch; u i represents the voltage amplitude of the end node of the ith branch; p i、Qi represents the active power and the reactive power injected by the end node of the ith branch respectively;
the minimum voltage deviation of nodes of the power distribution network is taken as a target:
Wherein U i is the actual voltage of node i; u iN represents the rated voltage of node i;
constructing a comprehensive objective function:
min f＝w1f1+w2f2
w1+w2＝1
0≤w1≤1
0≤w2≤1
wherein w 1,w2 is the weight coefficient of the active power loss and the voltage deviation respectively;
determining network operating constraints, comprising:
determining power constraint conditions of all power flows of the power distribution network:
Wherein P i、Qi is the size of the active power and the reactive power injected into the node i respectively; ui and Uj are the amplitude values of the voltages of the nodes i and j respectively; gij, bij are conductance and susceptance between nodes i, j; δij is the voltage phase difference of nodes i and j;
Determining voltage constraint conditions of all nodes of the power distribution network:
Uimin≤Ui≤Uimax
Wherein U i is the voltage amplitude of node i; u imax、Uimin is the maximum voltage amplitude and the minimum voltage amplitude of the node i respectively;
determining current constraint conditions of each branch of the power distribution network:
Ik≤Ikmax
wherein, I k、Ikmax is the current magnitude of branch k and the maximum current allowed to pass;
Determining capacity constraint conditions of each branch of the power distribution network:
Sk≤Skmax
s k、Skmax is the magnitude of the power transmitted by the branch k and the maximum allowable power transmitted respectively;
and determining the constraint condition of the network topology structure of the power distribution network, and keeping the power distribution network in a radial topology.
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