A power distribution network dynamic network reconstruction method and terminal considering communication system failure

Abstract

The application discloses a power distribution network dynamic network reconstruction method and terminal considering communication system failure, after extreme weather occurs, the state of the communication function of the communication network node in the power distribution network and the power distribution system failure area are determined, the objective function and the constraint condition of minimizing the system load shedding cost are established, the power distribution network dynamic network reconstruction model is obtained, the model is solved based on the state of the communication function of the communication network node and the power distribution system failure area, the optimal post-disaster power distribution network dynamic network reconstruction strategy, load shedding strategy and power output strategy are obtained, the power distribution network is recovered based on the same, and the more effective post-disaster power distribution network dynamic network reconstruction strategy, load shedding strategy and power output strategy are obtained through the state of the communication function of the communication network node in the power distribution network and the power distribution system failure area and the power distribution network dynamic network reconstruction model, so that the resilience level of the power distribution system under extreme weather disasters is improved.

Description

Technical Field

[0001] This invention relates to the field of power system analysis technology, and in particular to a method and terminal for dynamic network reconfiguration of distribution networks that takes into account communication system faults. Background Technology

[0002] With the widespread application of advanced metering facilities and the rapid development of information and communication technologies, traditional power distribution systems have gradually evolved into power distribution cyber-physical systems (CPS). The deep interdependence between communication and physical networks makes CPS more flexible and intelligent, but it also leads to the superposition of vulnerabilities in both networks. After extreme natural disasters strike the power distribution system, the control center can issue commands to disconnect parts of the distribution lines to isolate faulty components. However, if the communication system fails, these control commands cannot be accurately issued, leading to switch failures and expanding the scope of system faults. Faced with frequent extreme weather disasters, how to formulate effective dynamic network reconfiguration strategies for the power distribution network and improve the resilience of the power distribution system is one of the key issues that urgently need to be addressed in the development of the power distribution network. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method and terminal for dynamic network reconfiguration of power distribution networks that takes into account communication system failures, which can improve the resilience of power distribution systems under extreme weather disasters.

[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows:

[0005] A method for dynamic network reconfiguration of a distribution network considering communication system failures includes the following steps:

[0006] After extreme weather occurs, determine the status of the communication functions of the communication network nodes in the power distribution network and the fault areas of the power distribution system;

[0007] An objective function and constraints are established to obtain a dynamic network reconfiguration model for the distribution network. The objective function is to minimize the system load shedding cost.

[0008] Based on the communication function status of the communication network nodes and the fault area of ​​the power distribution system, the dynamic network reconfiguration model of the power distribution network is solved to obtain the optimal post-disaster dynamic network reconfiguration strategy, load shedding strategy, and power output strategy.

[0009] The distribution network is restored based on the optimal post-disaster distribution network dynamic network reconfiguration strategy, the load shedding strategy, and the power output strategy.

[0010] To solve the above-mentioned technical problems, another technical solution adopted by the present invention is as follows:

[0011] A power distribution network dynamic network reconfiguration terminal considering communication system faults includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it performs the following steps:

[0012] After extreme weather occurs, determine the status of the communication functions of the communication network nodes in the power distribution network and the fault areas of the power distribution system;

[0013] An objective function and constraints are established to obtain a dynamic network reconfiguration model for the distribution network. The objective function is to minimize the system load shedding cost.

[0014] Based on the communication function status of the communication network nodes and the fault area of ​​the power distribution system, the dynamic network reconfiguration model of the power distribution network is solved to obtain the optimal post-disaster dynamic network reconfiguration strategy, load shedding strategy, and power output strategy.

[0015] The distribution network is restored based on the optimal post-disaster distribution network dynamic network reconfiguration strategy, the load shedding strategy, and the power output strategy.

[0016] The beneficial effects of this invention are as follows: After extreme weather occurs, the status of the communication functions of the communication network nodes in the distribution network and the fault areas of the distribution system are determined. An objective function and constraints for minimizing the system load shedding cost are established, resulting in a dynamic network reconfiguration model of the distribution network. Based on the status of the communication functions of the communication network nodes and the fault areas of the distribution system, the model is solved to obtain the optimal post-disaster dynamic network reconfiguration strategy, load shedding strategy, and power output strategy of the distribution network. Based on these strategies, the distribution network is restored. Thus, by using the determined status of the communication functions of the communication network nodes in the distribution network, the fault areas of the distribution system, and the dynamic network reconfiguration model of the distribution network, more effective post-disaster dynamic network reconfiguration strategies, load shedding strategies, and power output strategies are obtained, thereby improving the resilience of the distribution system under extreme weather disasters. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating the steps of a dynamic network reconfiguration method for a distribution network considering communication system faults, according to an embodiment of the present invention.

[0018] Figure 2 This is a schematic diagram of the structure of a power distribution network dynamic network reconfiguration terminal that considers communication system faults according to an embodiment of the present invention;

[0019] Figure 3 This is a schematic diagram of the IEEE 33-node physical subsystem in the dynamic network reconfiguration method for distribution networks considering communication system failures, as described in an embodiment of the present invention.

[0020] Figure 4This is a schematic diagram of the IEEE 33-node network subsystem in the dynamic network reconfiguration method for distribution networks considering communication system faults, as described in an embodiment of the present invention.

[0021] Figure 5 This is a schematic diagram of the dynamic network reconfiguration scheme in the dynamic network reconfiguration method for distribution networks that considers communication system faults, according to an embodiment of the present invention. Detailed Implementation

[0022] To explain in detail the technical content, objectives, and effects of the present invention, the following description is provided in conjunction with the embodiments and accompanying drawings.

[0023] Please refer to Figure 1 A method for dynamic network reconfiguration of distribution networks considering communication system faults, comprising the following steps:

[0024] After extreme weather occurs, determine the status of the communication functions of the communication network nodes in the power distribution network and the fault areas of the power distribution system;

[0025] An objective function and constraints are established to obtain a dynamic network reconfiguration model for the distribution network. The objective function is to minimize the system load shedding cost.

[0026] Based on the communication function status of the communication network nodes and the fault area of ​​the power distribution system, the dynamic network reconfiguration model of the power distribution network is solved to obtain the optimal post-disaster dynamic network reconfiguration strategy, load shedding strategy, and power output strategy.

[0027] The distribution network is restored based on the optimal post-disaster distribution network dynamic network reconfiguration strategy, the load shedding strategy, and the power output strategy.

[0028] As can be seen from the above description, the beneficial effects of the present invention are as follows: After extreme weather occurs, the status of the communication functions of the communication network nodes in the distribution network and the fault areas of the distribution system are determined. An objective function and constraints for minimizing the system load shedding cost are established to obtain a dynamic network reconfiguration model of the distribution network. Based on the status of the communication functions of the communication network nodes and the fault areas of the distribution system, the model is solved to obtain the optimal post-disaster dynamic network reconfiguration strategy, load shedding strategy, and power output strategy of the distribution network. Based on these strategies, the distribution network is restored. Thus, by using the determined status of the communication functions of the communication network nodes in the distribution network, the fault areas of the distribution system, and the dynamic network reconfiguration model of the distribution network, a more effective post-disaster dynamic network reconfiguration strategy, load shedding strategy, and power output strategy of the distribution network are obtained, thereby improving the resilience of the distribution system under extreme weather disasters.

[0029] Furthermore, determining the status of the communication functions of communication network nodes in the distribution network and the fault areas of the distribution system includes:

[0030] Acquire communication network structure parameters, the latest information on faulty components in the communication system, power distribution network structure parameters, the location and capacity of distributed power sources, bus load shedding cost parameters, and information on faulty components in the power distribution system.

[0031] Based on the communication network structure parameters and the latest communication system fault component information, the node communication availability constraint model is used to identify the currently available complete communication links;

[0032] The status of the communication function of the communication network nodes in the distribution network is determined based on the currently available complete communication links;

[0033] The fault impact range is determined using a fault propagation constraint model based on the power distribution network structure parameters, the location and capacity of the distributed power source assembly, the bus load shedding cost parameters, and the faulty component information of the power distribution system.

[0034] The fault area of ​​the power distribution system is determined based on the scope of the fault's impact.

[0035] As described above, based on the communication network structure parameters and the latest communication system fault component information, the node communication availability constraint model is used to identify the currently available complete communication links. The distribution of virtual flows in the virtual network is used to simulate the transmission path of information flow in the communication network, thereby identifying all paths between communication nodes and the control center. Furthermore, the fault propagation constraint model is used to determine the scope of fault impact, taking into account the impact of communication system faults on the distribution network, and ensuring the effectiveness of the final strategy.

[0036] Furthermore, the node communication availability constraint model is as follows:

[0037]

[0038]

[0039]

[0040]

[0041]

[0042] In the formula, M represents the size of the virtual flow injected into the virtual network by the source node in the t-th time period, where M is a positive number. Ω represents the communication node corresponding to the substation. N Ω represents the set of nodes in a communication system. T This represents the set of time periods in the post-disaster network reconstruction process. This represents the size of the virtual flow absorbed by sink node m in the t-th time period. This indicates the fault status of the communication branch in the t-th time period. Ω represents the size of the virtual flow absorbed by sink node n in the t-th time period. E Let δ-(m) represent the set of branches in the communication system, and let δ-(m) represent the set of child nodes of a node. δ represents the size of the virtual flow passing through edge mn in the virtual network during the t-th time period. + (m) represents the set of parent nodes of a node. This represents the size of the virtual flow passing through edge km in the virtual network during the t-th time period;

[0043] The fault propagation constraint model is as follows:

[0044]

[0045]

[0046]

[0047]

[0048]

[0049]

[0050] In the formula, n i,t This indicates whether node i in the t-th time period is within the fault area. s represents the fault state of the distribution branch in the t-th time period. ij,t Ω represents the opening and closing status of the distribution branch in the t-th time period. B Ω represents the set of nodes in a power distribution system. L Let n represent the set of branches in the power distribution system. j,t Indicates whether node j in the t-th time period is within the fault area, n i,t+1 This indicates whether node i is within the fault area during the (t+1)th time period. This represents the active power demand at node t in time period t. This represents the active load shedding power at node t in the t-th time period. This represents the reactive power demand at node t in the t-th time period. This represents the reactive load shedding power of the node in the t-th time period.

[0051] As described above, the node communication availability constraint model is based on network flow theory and can adapt to various types of communication network topologies (chain, tree, ring, etc.). It can also adapt to rapid topology changes caused by fault / repair measures. The fault propagation constraint model can determine the fault range of the distribution network. For example, simulating the propagation of short-circuit current in the distribution network expands the system fault range; simulating the action of remote control switches to disconnect some distribution lines and isolate faulty components reduces the system fault range. Through these two models, the communication function status of communication network nodes and the fault area of ​​the distribution system can be effectively and reliably determined.

[0052] Furthermore, the objective function is:

[0053]

[0054] In the formula, c i This represents the unit load shedding cost of node i.

[0055] As described above, the operation of a distribution network is usually aimed at economic efficiency. However, after an extreme natural disaster, the system may lose some power due to a fault. Correspondingly, it is necessary to cut off some loads to ensure that the system frequency and voltage do not collapse. Therefore, the objective function is set to minimize the cost of load shedding after a disaster and to meet the requirements of safe and stable power supply to the bus as much as possible.

[0056] Furthermore, the constraints include power balance constraints of the distribution network bus, network power flow constraints, and system safe operation constraints;

[0057] The power balance constraint of the distribution network bus is:

[0058]

[0059]

[0060] In the formula, This represents the set of distribution network branches connected to node i. This represents the active power flow of distribution network branch k connected to node i in the t-th time period. This represents the active power output of the distributed power source at node i in the t-th time period. This represents the reactive power flow of distribution network branch k connected to node i in the t-th time period. This represents the reactive power output of the distributed power source at node i in the t-th time period;

[0061] The network flow constraint is:

[0062]

[0063] In the formula, U i,tU represents the voltage at node i in the t-th time period. j,t Let a represent the voltage at node j in the t-th time period. ij b represents the resistance of a branch in the distribution network. ij Indicates the reactance of a branch circuit in a distribution network. This represents the active power flow of the distribution network branch ij in the t-th time period. U represents the reactive power flow of the distribution network branch ij in the t-th time period. ref Indicates the system reference voltage;

[0064] The system's safe operation constraints are as follows:

[0065]

[0066]

[0067]

[0068]

[0069]

[0070] In the formula, This indicates the lower limit of the voltage at a distribution network node. Indicates the upper limit of voltage at distribution network nodes. This indicates the upper limit of active power flow in a distribution network branch. Indicates the upper limit of reactive power flow in the distribution network branch. This represents the lower limit of the active power output of distributed generation. This indicates the upper limit of the active power output of the distributed generation. This represents the lower limit of reactive power output of distributed generation. This indicates the upper limit of reactive power output of distributed power sources.

[0071] As can be seen from the above description, establishing power balance constraints, network flow constraints, and system safety operation constraints for the distribution network can ensure the safe and reliable operation of the distribution network.

[0072] Please refer to Figure 2 A power distribution network dynamic network reconfiguration terminal considering communication system faults includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it performs the following steps:

[0073] After extreme weather occurs, determine the status of the communication functions of the communication network nodes in the power distribution network and the fault areas of the power distribution system;

[0074] An objective function and constraints are established to obtain a dynamic network reconfiguration model for the distribution network. The objective function is to minimize the system load shedding cost.

[0075] Based on the communication function status of the communication network nodes and the fault area of ​​the power distribution system, the dynamic network reconfiguration model of the power distribution network is solved to obtain the optimal post-disaster dynamic network reconfiguration strategy, load shedding strategy, and power output strategy.

[0076] The distribution network is restored based on the optimal post-disaster distribution network dynamic network reconfiguration strategy, the load shedding strategy, and the power output strategy.

[0077] As can be seen from the above description, the beneficial effects of the present invention are as follows: After extreme weather occurs, the status of the communication functions of the communication network nodes in the distribution network and the fault areas of the distribution system are determined. An objective function and constraints for minimizing the system load shedding cost are established to obtain a dynamic network reconfiguration model of the distribution network. Based on the status of the communication functions of the communication network nodes and the fault areas of the distribution system, the model is solved to obtain the optimal post-disaster dynamic network reconfiguration strategy, load shedding strategy, and power output strategy of the distribution network. Based on these strategies, the distribution network is restored. Thus, by using the determined status of the communication functions of the communication network nodes in the distribution network, the fault areas of the distribution system, and the dynamic network reconfiguration model of the distribution network, a more effective post-disaster dynamic network reconfiguration strategy, load shedding strategy, and power output strategy of the distribution network are obtained, thereby improving the resilience of the distribution system under extreme weather disasters.

[0078] Furthermore, determining the status of the communication functions of communication network nodes in the distribution network and the fault areas of the distribution system includes:

[0079] Acquire communication network structure parameters, the latest information on faulty components in the communication system, power distribution network structure parameters, the location and capacity of distributed power sources, bus load shedding cost parameters, and information on faulty components in the power distribution system.

[0080] Based on the communication network structure parameters and the latest communication system fault component information, the node communication availability constraint model is used to identify the currently available complete communication links;

[0081] The status of the communication function of the communication network nodes in the distribution network is determined based on the currently available complete communication links;

[0082] The fault impact range is determined using a fault propagation constraint model based on the power distribution network structure parameters, the location and capacity of the distributed power source assembly, the bus load shedding cost parameters, and the faulty component information of the power distribution system.

[0083] The fault area of ​​the power distribution system is determined based on the scope of the fault's impact.

[0084] As described above, based on the communication network structure parameters and the latest communication system fault component information, the node communication availability constraint model is used to identify the currently available complete communication links. The distribution of virtual flows in the virtual network is used to simulate the transmission path of information flow in the communication network, thereby identifying all paths between communication nodes and the control center. Furthermore, the fault propagation constraint model is used to determine the scope of fault impact, taking into account the impact of communication system faults on the distribution network, and ensuring the effectiveness of the final strategy.

[0085] Furthermore, the node communication availability constraint model is as follows:

[0086]

[0087]

[0088]

[0089]

[0090]

[0091] In the formula, M represents the size of the virtual flow injected into the virtual network by the source node in the t-th time period, where M is a positive number. Ω represents the communication node corresponding to the substation. N Ω represents the set of nodes in a communication system. T This represents the set of time periods in the post-disaster network reconstruction process. This represents the size of the virtual flow absorbed by sink node m in the t-th time period. This indicates the fault status of the communication branch in the t-th time period. Ω represents the size of the virtual flow absorbed by sink node n in the t-th time period. E Let δ-(m) represent the set of branches in the communication system, and let δ-(m) represent the set of child nodes of a node. δ represents the size of the virtual flow passing through the virtual network in the t-th time period. + (m) represents the set of parent nodes of a node. This represents the size of the virtual flow passing through edge km in the virtual network during the t-th time period;

[0092] The fault propagation constraint model is as follows:

[0093]

[0094]

[0095]

[0096]

[0097]

[0098]

[0099] In the formula, n i,t This indicates whether node i in the t-th time period is within the fault area. s represents the fault state of the distribution branch in the t-th time period. ij,t Ω represents the opening and closing status of the distribution branch in the t-th time period. B Ω represents the set of nodes in a power distribution system. L Let n represent the set of branches in the power distribution system. j,t Indicates whether node j in the t-th time period is within the fault area, n i,t+1 This indicates whether node i is within the fault area during the (t+1)th time period. This represents the active power demand at node t in time period t. This represents the active load shedding power at node t in the t-th time period. This represents the reactive power demand at node t in the t-th time period. This represents the reactive load shedding power of the node in the t-th time period.

[0100] As described above, the node communication availability constraint model is based on network flow theory and can adapt to various types of communication network topologies (chain, tree, ring, etc.). It can also adapt to rapid topology changes caused by fault / repair measures. The fault propagation constraint model can determine the fault range of the distribution network. For example, simulating the propagation of short-circuit current in the distribution network expands the system fault range; simulating the action of remote control switches to disconnect some distribution lines and isolate faulty components reduces the system fault range. Through these two models, the communication function status of communication network nodes and the fault area of ​​the distribution system can be effectively and reliably determined.

[0101] Furthermore, the objective function is:

[0102]

[0103] In the formula, c i This represents the unit load shedding cost of node i.

[0104] As described above, the operation of a distribution network is usually aimed at economic efficiency. However, after an extreme natural disaster, the system may lose some power due to a fault. Correspondingly, it is necessary to cut off some loads to ensure that the system frequency and voltage do not collapse. Therefore, the objective function is set to minimize the cost of load shedding after a disaster and to meet the requirements of safe and stable power supply to the bus as much as possible.

[0105] Furthermore, the constraints include power balance constraints of the distribution network bus, network power flow constraints, and system safe operation constraints;

[0106] The power balance constraint of the distribution network bus is:

[0107]

[0108]

[0109] In the formula, This represents the set of distribution network branches connected to node i. This represents the active power flow of distribution network branch k connected to node i in the t-th time period. This represents the active power output of the distributed power source at node i in the t-th time period. This represents the reactive power flow of distribution network branch k connected to node i in the t-th time period. This represents the reactive power output of the distributed power source at node i in the t-th time period;

[0110] The network flow constraint is:

[0111]

[0112] In the formula, U i,t U represents the voltage at node i in the t-th time period. j,t Let a represent the voltage at node j in the t-th time period. ij b represents the resistance of a branch in the distribution network. ij Indicates the reactance of a branch circuit in a distribution network. This represents the active power flow of the distribution network branch ij in the t-th time period. U represents the reactive power flow of the distribution network branch ij in the t-th time period. ref Indicates the system reference voltage;

[0113] The system's safe operation constraints are as follows:

[0114]

[0115]

[0116]

[0117]

[0118]

[0119] In the formula, This indicates the lower limit of the voltage at a distribution network node. Indicates the upper limit of voltage at distribution network nodes. This indicates the upper limit of active power flow in a distribution network branch. Indicates the upper limit of reactive power flow in the distribution network branch. This represents the lower limit of the active power output of distributed generation. This indicates the upper limit of the active power output of the distributed generation. This represents the lower limit of reactive power output of distributed generation. This indicates the upper limit of reactive power output of distributed power sources.

[0120] As can be seen from the above description, establishing power balance constraints, network flow constraints, and system safety operation constraints for the distribution network can ensure the safe and reliable operation of the distribution network.

[0121] The above-described method and terminal for dynamic network reconfiguration of power distribution networks considering communication system faults are applicable to power distribution systems. The following detailed embodiments illustrate this method:

[0122] Please refer to Figure 1 , Figures 3-5 Embodiment 1 of the present invention is as follows:

[0123] A method for dynamic network reconfiguration of a distribution network considering communication system failures includes the following steps:

[0124] S1. After extreme weather occurs, determine the status of the communication functions of the communication network nodes in the distribution network and the fault areas of the distribution system, specifically including S11-S15:

[0125] S11. After extreme weather occurs, obtain communication network structure parameters, the latest information on faulty components of the communication system, power distribution network structure parameters, the location and capacity of distributed power sources, bus load shedding cost parameters, and information on faulty components of the power distribution system.

[0126] In one optional implementation, the communication network structure parameters include communication node types, connection relationships between communication nodes, and association relationships between communication nodes and network nodes. The power distribution network structure parameters include network topology, line parameters, bus parameters, load curve information, and switch configuration information, etc.

[0127] S12. Based on the communication network structure parameters and the latest communication system fault component information, the node communication availability constraint model is used to identify the currently available complete communication links;

[0128] Specifically, a virtual network with the same topology as the communication network is established based on the communication network structure parameters and the latest information on faulty components of the communication system. The vertices and edges of the virtual network correspond one-to-one with the nodes and branches of the communication network. By simulating the transmission path of information flow in the communication network through the distribution of virtual flows in the virtual network, the currently available complete communication links are identified using the node communication availability constraint model.

[0129] The node communication availability constraint model is as follows:

[0130]

[0131]

[0132]

[0133]

[0134]

[0135] In the formula, M represents the size of the virtual flow injected into the virtual network by the source node in the t-th time period, where M is a positive number. Ω represents the communication node corresponding to the substation. N Ω represents the set of nodes in a communication system. T This represents the set of time periods in the post-disaster network reconstruction process. This represents the size of the virtual flow absorbed by sink node m in the t-th time period. This indicates the fault status of the communication branch in the t-th time period. Ω represents the size of the virtual flow absorbed by sink node n in the t-th time period. E Let δ-(m) represent the set of branches in the communication system, and let δ-(m) represent the set of child nodes of a node. δ represents the size of the virtual flow passing through edge mn in the virtual network during the t-th time period. + (m) represents the set of parent nodes of a node. M represents the size of the virtual flow passing through edge km in the virtual network during the t-th time period; in an optional implementation, M = 10000.

[0136] The first constraint in the node communication availability constraint model indicates that virtual flows enter the virtual network from the communication node corresponding to the substation. The second constraint indicates that the communication node corresponding to the substation always consumes one unit of virtual flow. The third constraint indicates that the availability states of the nodes at both ends of a non-faulty communication branch are the same, and the availability states of the nodes at both ends of a faulty communication branch are not coupled. The fourth constraint is a node flow balance constraint. The fifth constraint indicates that virtual flows are not allowed to pass through the virtual edge corresponding to the faulty communication branch.

[0137] In existing technologies, some studies assume that communication lines are laid parallel to power distribution lines, and the corresponding communication node availability identification models are only applicable to radial network topologies. Other studies, for a given network topology, traverse and search all paths from communication nodes to the control center to establish a corresponding communication link table. However, actual communication networks are not all radial structures, but complex networks containing various structures such as ring networks and radial networks. Furthermore, factors such as faults, repairs, and reconfigurations cause the topology of communication networks to be variable. Once the topology changes, the communication link table must be reconstructed, which greatly reduces the efficiency of formulating dynamic network reconfiguration strategies for power distribution networks. Compared to existing technologies, the node communication availability constraint model established in this invention is applicable to complex and variable radial and ring network topologies. This model uses the distribution of virtual flows in a virtual network to simulate the transmission paths of information flows in the communication network, thereby identifying all paths from communication nodes to the control center.

[0138] S13. Determine the status of the communication function of the communication network nodes in the distribution network based on the currently available complete communication links.

[0139] S14. Based on the power distribution network structure parameters, the location and capacity of the distributed power source assembly, the bus load shedding cost parameters, and the faulty component information of the power distribution system, the fault propagation constraint model is used to determine the fault impact range.

[0140] The fault propagation constraint model is as follows:

[0141]

[0142]

[0143]

[0144]

[0145]

[0146]

[0147] In the formula, n i,t This indicates whether node i in the t-th time period is within the fault area. s represents the fault state of the distribution branch in the t-th time period. ij,t Ω represents the opening and closing status of the distribution branch in the t-th time period. B Ω represents the set of nodes in a power distribution system. L Let n represent the set of branches in the power distribution system. j,t Indicates whether node j in the t-th time period is within the fault area, n i,t+1This indicates whether node i is within the fault area during the (t+1)th time period. This represents the active power demand at node t in time period t. This represents the active load shedding power at node t in the t-th time period. This represents the reactive power demand at node t in the t-th time period. This represents the reactive load shedding power of the node in the t-th time period.

[0148] The first to third constraints in the fault propagation constraint model indicate that the fault state of a node is propagated along a closed branch. The fourth constraint indicates that the fault range of the distribution network is limited to not expand during the recovery process. The fifth and sixth constraints indicate that the upper and lower limits of the system's active and reactive load shedding are limited.

[0149] S15. Determine the fault area of ​​the power distribution system based on the scope of the fault's impact.

[0150] S2. Establish the objective function and constraints to obtain the dynamic network reconfiguration model of the distribution network. The objective function is to minimize the system load shedding cost.

[0151] The objective function is:

[0152]

[0153] In the formula, c i This represents the unit load shedding cost of node i.

[0154] The constraints include power balance constraints of the distribution network bus, network power flow constraints, and system safe operation constraints.

[0155] The power balance constraint of the distribution network bus is:

[0156]

[0157]

[0158] In the formula, This represents the set of distribution network branches connected to node i. This represents the active power flow of distribution network branch k connected to node i in the t-th time period. This represents the active power output of the distributed power source at node i in the t-th time period. This represents the reactive power flow of distribution network branch k connected to node i in the t-th time period. This represents the reactive power output of the distributed power source at node i during the t-th time period; if node i is equipped with a distributed power source, then... and The value is 0.

[0159] The network flow constraint is:

[0160]

[0161] In the formula, U i,t U represents the voltage at node i in the t-th time period. j,t Let a represent the voltage at node j in the t-th time period. ij b represents the resistance of a branch in the distribution network. ij Indicates the reactance of a branch circuit in a distribution network. This represents the active power flow of the distribution network branch ij in the t-th time period. U represents the reactive power flow of the distribution network branch ij in the t-th time period. ref Indicates the system reference voltage;

[0162] The system's safe operation constraints are as follows:

[0163]

[0164]

[0165]

[0166]

[0167]

[0168] In the formula, This indicates the lower limit of the voltage at a distribution network node. Indicates the upper limit of voltage at distribution network nodes. This indicates the upper limit of active power flow in a distribution network branch. Indicates the upper limit of reactive power flow in the distribution network branch. This represents the lower limit of the active power output of distributed generation. This indicates the upper limit of the active power output of the distributed generation. This represents the lower limit of reactive power output of distributed generation. This indicates the upper limit of reactive power output of distributed power sources.

[0169] S3. Solve the dynamic network reconfiguration model of the power distribution network based on the communication function status of the communication network nodes and the fault area of ​​the power distribution system to obtain the optimal post-disaster dynamic network reconfiguration strategy, load shedding strategy and power output strategy of the power distribution network.

[0170] S4. The distribution network is restored based on the optimal post-disaster distribution network dynamic network reconstruction strategy, the load shedding strategy, and the power output strategy.

[0171] In one alternative implementation, it further includes:

[0172] S5. Determine whether there is still a fault in the distribution network. If so, return to execute S1-S4 until there is no fault in the distribution network.

[0173] Adopting such Figure 3 The IEEE 33-node system shown verifies the effectiveness of the method proposed in this invention, and establishes the corresponding communication network as follows: Figure 4 As shown in the diagram. Bus 1 in the system is connected to the substation, and buses 15, 22, 23, and 33 are equipped with Distributed Generation (DG) systems. Assume there are 8 faults in the physical subsystem and 11 faults in the network subsystem.

[0174] The post-disaster distribution network dynamic network reconfiguration scheme obtained by the above-mentioned method of the present invention is as follows: Figure 5 As shown, Figure 5 A hollow circle indicates that the switch is open, while a solid circle indicates that the switch is closed.

[0175] Please refer to Figure 2 Embodiment two of the present invention is as follows:

[0176] A distribution network dynamic network reconfiguration terminal that takes into account communication system failures includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the various steps of the distribution network dynamic network reconfiguration method that takes into account communication system failures in Embodiment 1.

[0177] In summary, this invention provides a dynamic network reconfiguration method and terminal for distribution networks considering communication system faults. After extreme weather events, it determines the communication function status of communication network nodes and the fault areas of the distribution system. It establishes an objective function and constraints to minimize the system's load shedding cost, resulting in a dynamic network reconfiguration model. Based on the communication function status of communication network nodes and the fault areas of the distribution system, the model is solved to obtain the optimal post-disaster dynamic network reconfiguration strategy, load shedding strategy, and power output strategy. Based on these strategies, the distribution network is restored. This is achieved by determining the communication function status of communication network nodes and the fault areas of the distribution system. The domain and distribution network dynamic network reconfiguration model yield more effective post-disaster distribution network dynamic network reconfiguration strategies, load shedding strategies, and power output strategies, thereby improving the resilience of the distribution system under extreme weather disasters. In addition, based on the communication network structure parameters and the latest communication system fault component information, the node communication availability constraint model is used to identify the currently available complete communication links. The distribution of virtual flows in the virtual network is used to simulate the transmission path of information flow in the communication network, thereby identifying all paths between communication nodes and the control center. Furthermore, the fault propagation constraint model is used to determine the fault impact range, taking into account the impact of communication system faults on the distribution network, ensuring the effectiveness of the final strategy.

[0178] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent modifications made based on the content of the present invention specification and drawings, or direct or indirect applications in related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for dynamic network reconfiguration of a distribution network considering communication system faults, characterized in that, Including the following steps: After extreme weather occurs, determine the status of the communication functions of the communication network nodes in the power distribution network and the fault areas of the power distribution system; An objective function and constraints are established to obtain a dynamic network reconfiguration model for the distribution network. The objective function is to minimize the system load shedding cost. Based on the communication function status of the communication network nodes and the fault area of ​​the power distribution system, the dynamic network reconfiguration model of the power distribution network is solved to obtain the optimal post-disaster dynamic network reconfiguration strategy, load shedding strategy, and power output strategy. The distribution network is restored based on the optimal post-disaster distribution network dynamic network reconstruction strategy, the load shedding strategy, and the power output strategy. Determining the status of the communication functions of communication network nodes in the distribution network and the fault areas of the distribution system includes: Acquire communication network structure parameters, the latest information on faulty components in the communication system, power distribution network structure parameters, the location and capacity of distributed power sources, bus load shedding cost parameters, and information on faulty components in the power distribution system. Based on the communication network structure parameters and the latest communication system fault component information, the node communication availability constraint model is used to identify the currently available complete communication links; The status of the communication function of the communication network nodes in the distribution network is determined based on the currently available complete communication links; The fault impact range is determined using a fault propagation constraint model based on the power distribution network structure parameters, the location and capacity of the distributed power source assembly, the bus load shedding cost parameters, and the faulty component information of the power distribution system. The fault area of ​​the power distribution system is determined based on the scope of the fault's impact. The node communication availability constraint model is as follows: ； ； ； ； ； In the formula, M represents the size of the virtual flow injected into the virtual network by the source node in the t-th time period, where M is a positive number. Ω represents the communication node corresponding to the substation. N Ω represents the set of nodes in a communication system. T This represents the set of time periods in the post-disaster network reconstruction process. This represents the size of the virtual flow absorbed by sink node m in the t-th time period. This indicates the fault status of the communication branch in the t-th time period. Ω represents the size of the virtual flow absorbed by sink node n in the t-th time period. E Represents the set of branches in a communication system. δ- ( m ) represents the set of child nodes of a node. This represents the size of the virtual flow passing through edge mn in the virtual network during the t-th time period. δ + ( m () represents the set of parent nodes of a node. This represents the size of the virtual flow passing through edge km in the virtual network during the t-th time period; The fault propagation constraint model is as follows: ； ； ； ； ； ； In the formula, n i,t This indicates whether node i in the t-th time period is within the fault area. This indicates the fault status of the distribution branch in the t-th time period. s ij,t Ω represents the opening and closing status of the distribution branch in the t-th time period. B Ω represents the set of nodes in a power distribution system. L Represents the set of branches in a power distribution system. n j,t This indicates whether node j in the t-th time period is within the fault area. This indicates whether node i is within the fault area during the (t+1)th time period. This represents the active power demand at node t. This represents the active load shedding power at node t in the t-th time period. This represents the reactive power demand at node t. This represents the reactive load shedding power of the node in the t-th time period.

2. The method for dynamic network reconfiguration of a distribution network considering communication system faults according to claim 1, characterized in that, The objective function is: ； In the formula, c i This represents the unit load shedding cost of node i.

3. The method for dynamic network reconfiguration of a distribution network considering communication system faults according to claim 1, characterized in that, The constraints include power balance constraints of the distribution network bus, network power flow constraints, and system safe operation constraints. The power balance constraint of the distribution network bus is: ； ； In the formula, This represents the set of distribution network branches connected to node i. This represents the active power flow of distribution network branch k connected to node i in the t-th time period. This represents the active power output of the distributed power source at node i in the t-th time period. This represents the reactive power flow of distribution network branch k connected to node i in the t-th time period. This represents the reactive power output of the distributed power source at node i in the t-th time period; The network flow constraint is: ； In the formula, U i,t This represents the voltage at node i in the t-th time period. U j,t This represents the voltage at node j in the t-th time period. a ij Indicates the resistance of a branch in the distribution network. b ij Indicates the reactance of a branch circuit in a distribution network. This represents the active power flow of the distribution network branch ij in the t-th time period. This represents the reactive power flow of the distribution network branch ij in the t-th time period. Indicates the system reference voltage; The system's safe operation constraints are as follows: ； ； ； ； ； In the formula, This indicates the lower limit of the voltage at a distribution network node. Indicates the upper limit of voltage at distribution network nodes. This indicates the upper limit of active power flow in a distribution network branch. Indicates the upper limit of reactive power flow in the distribution network branch. This represents the lower limit of the active power output of distributed generation. This indicates the upper limit of the active power output of the distributed generation. This represents the lower limit of reactive power output of distributed generation. This indicates the upper limit of reactive power output of distributed power sources.

4. A distribution network dynamic network reconfiguration terminal considering communication system faults, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it performs the following steps: After extreme weather occurs, determine the status of the communication functions of the communication network nodes in the power distribution network and the fault areas of the power distribution system; An objective function and constraints are established to obtain a dynamic network reconfiguration model for the distribution network. The objective function is to minimize the system load shedding cost. Based on the communication function status of the communication network nodes and the fault area of ​​the power distribution system, the dynamic network reconfiguration model of the power distribution network is solved to obtain the optimal post-disaster dynamic network reconfiguration strategy, load shedding strategy, and power output strategy. The distribution network is restored based on the optimal post-disaster distribution network dynamic network reconstruction strategy, the load shedding strategy, and the power output strategy. Determining the status of the communication functions of communication network nodes in the distribution network and the fault areas of the distribution system includes: Acquire communication network structure parameters, the latest information on faulty components in the communication system, power distribution network structure parameters, the location and capacity of distributed power sources, bus load shedding cost parameters, and information on faulty components in the power distribution system. Based on the communication network structure parameters and the latest communication system fault component information, the node communication availability constraint model is used to identify the currently available complete communication links; The status of the communication function of the communication network nodes in the distribution network is determined based on the currently available complete communication links; The fault impact range is determined using a fault propagation constraint model based on the power distribution network structure parameters, the location and capacity of the distributed power source assembly, the bus load shedding cost parameters, and the faulty component information of the power distribution system. The fault area of ​​the power distribution system is determined based on the scope of the fault's impact. The node communication availability constraint model is as follows: ； ； ； ； ； In the formula, M represents the size of the virtual flow injected into the virtual network by the source node in the t-th time period, where M is a positive number. Ω represents the communication node corresponding to the substation. N Ω represents the set of nodes in a communication system. T This represents the set of time periods in the post-disaster network reconstruction process. This represents the size of the virtual flow absorbed by sink node m in the t-th time period. This indicates the fault status of the communication branch in the t-th time period. Ω represents the size of the virtual flow absorbed by sink node n in the t-th time period. E Represents the set of branches in a communication system. δ- ( m ) represents the set of child nodes of a node. This represents the size of the virtual flow passing through edge mn in the virtual network during the t-th time period. δ + ( m () represents the set of parent nodes of a node. This represents the size of the virtual flow passing through edge km in the virtual network during the t-th time period; The fault propagation constraint model is as follows: ； ； ； ； ； ； In the formula, n i,t This indicates whether node i in the t-th time period is within the fault area. This indicates the fault status of the distribution branch in the t-th time period. s ij,t Ω represents the opening and closing status of the distribution branch in the t-th time period. B Ω represents the set of nodes in a power distribution system. L Represents the set of branches in a power distribution system. n j,t This indicates whether node j in the t-th time period is within the fault area. This indicates whether node i is within the fault area during the (t+1)th time period. This represents the active power demand at node t. This represents the active load shedding power at node t in the t-th time period. This represents the reactive power demand at node t. This represents the reactive load shedding power of the node in the t-th time period.

5. A power distribution network dynamic network reconfiguration terminal considering communication system faults according to claim 4, characterized in that, The objective function is: ； In the formula, c i This represents the unit load shedding cost of node i.

6. A power distribution network dynamic network reconfiguration terminal considering communication system faults according to claim 4, characterized in that, The constraints include power balance constraints of the distribution network bus, network power flow constraints, and system safe operation constraints. The power balance constraint of the distribution network bus is: ； ； In the formula, This represents the set of distribution network branches connected to node i. This represents the active power flow of distribution network branch k connected to node i in the t-th time period. This represents the active power output of the distributed power source at node i in the t-th time period. This represents the reactive power flow of distribution network branch k connected to node i in the t-th time period. This represents the reactive power output of the distributed power source at node i in the t-th time period; The network flow constraint is: ； In the formula, U i,t This represents the voltage at node i in the t-th time period. U j,t This represents the voltage at node j in the t-th time period. a ij Indicates the resistance of a branch in the distribution network. b ij Indicates the reactance of a branch circuit in a distribution network. This represents the active power flow of the distribution network branch ij in the t-th time period. This represents the reactive power flow of the distribution network branch ij in the t-th time period. Indicates the system reference voltage; The system's safe operation constraints are as follows: ； ； ； ； ； In the formula, This indicates the lower limit of the voltage at a distribution network node. Indicates the upper limit of voltage at distribution network nodes. This indicates the upper limit of active power flow in a distribution network branch. Indicates the upper limit of reactive power flow in the distribution network branch. This represents the lower limit of the active power output of distributed generation. This indicates the upper limit of the active power output of the distributed generation. This represents the lower limit of reactive power output of distributed generation. This indicates the upper limit of reactive power output of distributed power sources.

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