Dynamic routing method and system for heterogeneous communication network at tail end of distributed smart power grid

Abstract

The invention discloses a dynamic routing method for a heterogeneous communication network at the tail end of a distributed smart power grid. The method comprises the following steps: constructing a communication network structure for a target distributed smart power grid; acquiring communication link state information of the target distributed smart power grid based on the constructed communication network structure; calculating the weight of each link according to the acquired communication link state information, and constructing a corresponding network topology model; calculating an optimal transmission path for each node based on the service priority to establish a hybrid routing table; and each node performs data transmission according to the hybrid routing table so as to complete dynamic routing of the heterogeneous communication network at the tail end of the distributed smart power grid. The invention also discloses a system for realizing the dynamic routing method for the heterogeneous communication network at the tail end of the distributed smart power grid. According to the method, the dynamic routing for the heterogeneous communication network at the tail end of the distributed smart power grid is realized, and the method is higher in reliability, better in accuracy and better in applicability.

Description

Technical Field

[0001] The present invention belongs to the field of communication technologies, and particularly relates to a dynamic routing method and system for heterogeneous communication networks at the end of a distributed smart grid. Background Art

[0002] With the development of economic technologies and the improvement of people's living standards, electric energy has become an essential secondary energy source in people's production and life, bringing endless convenience to people's production and life. Therefore, ensuring the stable and reliable supply of electric energy has become one of the most important tasks of the power system.

[0003] At the present stage, distributed smart grids have been gradually popularized. In a distributed smart grid, a large number of device nodes such as intelligent fusion terminals, electric meters, intelligent switches, and distributed energy terminals are distributed at the end of the grid. These nodes also make the communication network at the end of the distributed smart grid present a heterogeneous state. And the communication between such device nodes greatly affects the security and reliability of the distributed smart grid. Therefore, dynamic routing for heterogeneous communication networks at the end of a distributed smart grid is particularly important.

[0004] However, the traditional routing schemes for distributed smart grids currently available have poor adaptability in complex grid environments, and it is difficult to guarantee their reliability and accuracy. Moreover, the existing routing schemes cannot be applied to the case where such communication networks are heterogeneous. Summary of the Invention

[0005] One object of the present invention is to provide a dynamic routing method for heterogeneous communication networks at the end of a distributed smart grid with high reliability, good accuracy, and good applicability.

[0006] Another object of the present invention is to provide a system for implementing the dynamic routing method for heterogeneous communication networks at the end of a distributed smart grid.

[0007] The dynamic routing method for heterogeneous communication networks at the end of a distributed smart grid provided by the present invention includes the following steps:

[0008] S1. For a target distributed smart grid, construct a communication network structure;

[0009] S2. Based on the communication network structure constructed in step S1, obtain the communication link status information of the target distributed smart grid;

[0010] S3. According to the communication link status information obtained in step S2, calculate the weights of each link and construct a corresponding network topology model;

[0011] S4. Based on the data information obtained in step S3 and the business priorities, calculate the optimal transmission path for each node to establish a hybrid routing table.

[0012] S5. Each node performs data transmission according to the hybrid routing table established in step S4 to complete the dynamic routing of the heterogeneous communication network at the end of the distributed smart grid.

[0013] The construction of the communication network structure for the target distributed smart grid described in step S1 specifically includes the following steps:

[0014] Deploy a number of intelligent reflecting surfaces (IRS) in the target distributed smart grid. The IRS enhances the wireless signal strength by reconstructing the wireless channel environment.

[0015] The constructed communication network structure includes a network center node and a number of network sub-nodes.

[0016] Among them, the intelligent fusion terminal serves as the network center node; the network sub-nodes include electricity meters, intelligent switches, distributed energy terminals, and intelligent reflecting surfaces (IRS).

[0017] The obtaining of the communication link status information of the target distributed smart grid based on the communication network structure constructed in step S2 specifically includes the following steps:

[0018] The network center node broadcasts beacons to the network sub-nodes.

[0019] After each network sub-node receives the beacon, it uses the radio frequency and high-speed power line carrier collaborative scanning technology to obtain the communication link status information between itself and its neighbor nodes, and uploads the obtained communication link status information to the network center node.

[0020] The described communication link status information includes the reachable paths between nodes in the network, the received signal strength of the wireless channels between network sub-nodes and their neighbor nodes, the signal-to-noise ratio of the carrier channels, the incident angles between each network sub-node and the intelligent reflecting surface (IRS), the distance between the transmitting node and the intelligent reflecting surface (IRS), and the distance between the intelligent reflecting surface (IRS) and the receiving node.

[0021] The calculation of the weight of each link according to the communication link status information obtained in step S2 described in step S3 specifically includes the following steps:

[0022] The weight of the high-speed power line carrier link is calculated using the following formula:

[0023]

[0024] Where w HPLC is the weight of the high-speed power line carrier link; SNR minis the minimum threshold of the signal-to-noise ratio for the high-speed power line carrier link; SNR HPLC is the signal-to-noise ratio of the high-speed power line carrier link; and it is set that if SNR HPLC < SNR min , it is determined that the high-speed power line carrier link is unavailable;

[0025] The weight of the radio frequency link is calculated using the following formula:

[0026]

[0027] where w RF is the weight of the radio frequency link; RS min is the minimum threshold of the received signal strength of the radio frequency link; RS RF is the received signal strength of the radio frequency link; and it is set that if RS RF < RS min , it is determined that the radio frequency link is unavailable;

[0028] The weight of the radio frequency + intelligent reflecting surface link is calculated using the following formula:

[0029]

[0030] where w RF+IRS is the weight of the radio frequency + intelligent reflecting surface link; G IRS is the signal gain after introducing the intelligent reflecting surface, and λ is the signal wavelength, N is the number of intelligent reflecting surfaces, θ is the incident angle between the network sub-node and the intelligent reflecting surface IRS, d Tx-IRS is the distance between the transmitting node and the intelligent reflecting surface IRS, d IRS-Rx is the distance between the intelligent reflecting surface IRS and the receiving node; Φ is the phase adjustment matrix, and is the phase of the Nth intelligent reflecting surface.

[0031] The construction of the corresponding network topology model described in step S3 specifically includes the following steps:

[0032] The network topology model includes a node set, a link set, and a link mode;

[0033] Among them, the node set includes a network center node and network sub-nodes; the link set includes the connection relationships between nodes; the link mode includes the communication mode selected for each link, and the communication mode includes a high-speed power line carrier link, a radio frequency link, and a radio frequency + intelligent reflecting surface link.

[0034] According to the data information obtained in step S3, based on the service priority, calculating the optimal transmission path for each node to establish a hybrid routing table described in step S4 specifically includes the following steps:

[0035] Set the service feature vector B i Let B i =(P i , D i ); where P i is the service priority of the i-th service, and P i ∈[1, P max , P max is the highest service priority; D i is the data volume of the i-th service, and D i ∈[0, D max , D max is the maximum data volume threshold of the service;

[0036] Calculate the enhanced link quality sensitivity coefficient α as

[0037] Calculate the enhanced hop count sensitivity coefficient β as

[0038] Adopt the following formula as the path optimization objective function:

[0039]

[0040] In the formula, C(P) is the objective function value; l is the link number; Z is the set of links included in the selected path; w l is the link weight coefficient, and P is the selected path; |P| represents the hop count of the selected path;

[0041] Solve the path optimization objective function using the genetic algorithm; during the solution process, the chromosome consists of the selected path, communication mode, and phase adjustment matrix;

[0042] Finally, according to the solution result, allocate the optimal path and communication mode for each network sub-node, and at the same time obtain the phase matrix of the intelligent reflecting surface IRS to obtain the hybrid routing table.

[0043] The dynamic routing method for the distributed intelligent power grid end heterogeneous communication network described above further includes the following steps:

[0044] S6. Real-time monitor the communication link status, and update the hybrid routing table and select the communication mode according to the set rules.

[0045] The real-time monitoring of the communication link status in step S6 and the update of the hybrid routing table and selection of the communication mode according to the set rules specifically include the following steps:

[0046] The network center node monitors the communication link status in real time; if the communication quality of the communication link continuously deteriorates, the path, communication mode, and phase matrix of the intelligent reflecting surface (IRS) are updated to achieve the update of the hybrid routing table.

[0047] If the intelligent reflecting surface (IRS) fails, only the high-speed power line carrier link and radio frequency link are used for routing, and the failure and alarm of the intelligent reflecting surface (IRS) are marked.

[0048] The present invention also provides a system for implementing the dynamic routing method for the heterogeneous communication network at the end of the distributed smart grid, including a network construction module, a data acquisition module, a topology construction module, a routing construction module, a dynamic routing module, and a routing update module; the network construction module, the data acquisition module, the topology construction module, the routing construction module, the dynamic routing module, and the routing update module are connected in series in sequence; the network construction module is used to construct a communication network structure for the target distributed smart grid and upload the data information to the data acquisition module; the data acquisition module is used to obtain the communication link status information of the target distributed smart grid based on the constructed communication network structure according to the received data information and upload the data information to the topology construction module; the topology construction module is used to calculate the weights of each link and construct the corresponding network topology model according to the received data information and the obtained communication link status information, and upload the data information to the routing construction module; the routing construction module is used to calculate the optimal transmission path for each node based on the service priority according to the received data information to establish a hybrid routing table and upload the data information to the dynamic routing module; the dynamic routing module is used to perform data transmission according to the established hybrid routing table for each node according to the received data information to complete the dynamic routing of the heterogeneous communication network at the end of the distributed smart grid and upload the data information to the routing update module; the routing update module is used to monitor the communication link status in real time according to the received data information and implement the update of the hybrid routing table and the selection of the communication mode according to the set rules.

[0049] The dynamic routing method and system for the heterogeneous communication network at the end of the distributed smart grid provided by the present invention, through the real-time acquisition of the data information of the communication network, considering the structure of the heterogeneous communication network at the end of the distributed smart grid, and based on the service priority, not only realizes the dynamic routing of the heterogeneous communication network at the end of the distributed smart grid, but also has higher reliability, better accuracy, and better applicability. Description of the Drawings

[0050] Figure 1 It is a schematic flow chart of the method of the present invention.

[0051] Figure 2 It is a schematic diagram of the functional modules of the system of the present invention. Detailed implementation manners

[0052] As Figure 1 shown in the method flow schematic diagram of the method of the present invention: The dynamic routing method for the heterogeneous communication network at the end of the distributed smart grid provided by the present invention includes the following steps:

[0053] S1. For the target distributed smart grid, construct a communication network structure; specifically including the following steps:

[0054] Arrange a number of intelligent reflecting surfaces IRS in the target distributed smart grid, and the intelligent reflecting surface IRS enhances the wireless signal strength by reconstructing the wireless channel environment;

[0055] The constructed communication network structure includes a network center node and a number of network sub-nodes;

[0056] Among them, the intelligent fusion terminal serves as the network center node; the network sub-nodes include electricity meters, intelligent switches, distributed energy terminals, and intelligent reflecting surfaces IRS;

[0057] S2. Based on the communication network structure constructed in step S1, obtain the communication link status information of the target distributed smart grid; specifically including the following steps:

[0058] The network center node broadcasts beacons to the network sub-nodes;

[0059] After each network sub-node receives the beacon, it uses the radio frequency and high-speed power line carrier collaborative scanning technology to obtain the communication link status information between itself and its neighbor nodes, and uploads the obtained communication link status information to the network center node; specifically in implementation, the network center node initiates a channel scan on the specified channel in the MAC layer of RF (radio frequency), and the intelligent reflecting surface IRS actively reflects the detection signal to expand the scan coverage range; at the same time, it listens for the inter-network coordination frame in the MAC layer of HPLC (high-speed power line carrier) to identify adjacent networks; defines network parameters according to the channel scan results, and completes the RF and HPLC networking;

[0060] Among them, the communication link status information includes the reachable paths between nodes in the network, the received signal strength of the wireless channel between the network sub-node and its neighbor nodes, the signal-to-noise ratio of the carrier channel, the incident angle between each network sub-node and the intelligent reflecting surface IRS, the distance between the transmitting node and the intelligent reflecting surface IRS, and the distance between the intelligent reflecting surface IRS and the receiving node;

[0061] S3. According to the communication link status information obtained in step S2, calculate the weights of each link, and construct a corresponding network topology model; specifically including the following steps:

[0062] Use the following formula to calculate the weight of the high-speed power line carrier link:

[0063]

[0064] where w HPLC is the weight of the high-speed power line carrier link; SNR min is the minimum threshold of the signal-to-noise ratio of the high-speed power line carrier link; SNR HPLC is the signal-to-noise ratio of the high-speed power line carrier link; and it is also set that if SNR HPLC <SNR min , then it is determined that the high-speed power line carrier link is unavailable;

[0065] The radio frequency link weight is calculated using the following formula:

[0066]

[0067] where w RF is the radio frequency link weight; RS min is the minimum threshold of the received signal strength of the radio frequency link; RS RF is the received signal strength of the radio frequency link; and it is also set that if RS RF <RS min , then it is determined that the radio frequency link is unavailable;

[0068] The radio frequency + intelligent reflecting surface link weight is calculated using the following formula:

[0069]

[0070] where w RF+IRS is the radio frequency + intelligent reflecting surface link weight; G IRS is the signal gain after introducing the intelligent reflecting surface, and λ is the signal wavelength, N is the number of intelligent reflecting surfaces, θ is the incident angle between the network sub-node and the intelligent reflecting surface IRS, d Tx-IRS is the distance between the transmitting node and the intelligent reflecting surface IRS, d IRS-Rx is the distance between the intelligent reflecting surface IRS and the receiving node; Φ is the phase adjustment matrix, and is the phase of the Nth intelligent reflecting surface;

[0071] The network topology model includes a node set, a link set, and a link mode;

[0072] Among them, the node set includes the network center node and the network sub-nodes; the link set includes the connection relationships between the nodes; the link mode includes the communication modes selected by each link, and the communication modes include the high-speed power line carrier link, the radio frequency link, and the radio frequency + intelligent reflecting surface link;

[0073] S4. Based on the data information obtained in step S3 and the business priorities, calculate the optimal transmission paths for each node to establish a hybrid routing table; specifically, the following steps are included:

[0074] Set the service feature vector B i For B i =(P i , D i ); where P i is the business priority of the i-th service, and P i ∈[1, P max , P max is the highest priority of the service; D i is the data volume of the i-th service, and D i ∈[0, D max , D max is the maximum data volume threshold of the service;

[0075] Calculate the enhanced link quality sensitivity coefficient α as

[0076] Calculate the enhanced hop count sensitivity coefficient β as

[0077] Adopt the following formula as the path optimization objective function:

[0078]

[0079] In the formula, C(P) is the objective function value; l is the link number; Z is the set of links included in the selected path; w l is the link weight coefficient, and P is the selected path; |P| represents the hop count of the selected path;

[0080] Solve the path optimization objective function using the genetic algorithm; during the solution process, the chromosome consists of the selected path, communication mode, and phase adjustment matrix Φ;

[0081] Finally, according to the solution results, allocate the optimal path and communication mode for each network sub-node, and at the same time obtain the phase matrix of the intelligent reflecting surface IRS to obtain the hybrid routing table;

[0082] S5. Each node performs data transmission according to the hybrid routing table established in step S4 to complete the dynamic routing of the heterogeneous communication network at the end of the distributed smart grid;

[0083] S6. Real-time monitor the communication link status, and update the hybrid routing table and select the communication mode according to the set rules; specifically, the following steps are included:

[0084] The network center node monitors the communication link status in real time; if the communication quality of the communication link continuously deteriorates, the path, communication mode, and phase matrix of the intelligent reflecting surface (IRS) are updated to achieve the update of the hybrid routing table.

[0085] If the intelligent reflecting surface (IRS) fails, only the high-speed power line carrier link and radio frequency link are used for routing, and the failure and alarm of the intelligent reflecting surface (IRS) are marked.

[0086] As Figure 2 The functional module schematic diagram of the system of the present invention is shown as follows: The system for implementing the dynamic routing method for the heterogeneous communication network at the end of the distributed smart grid disclosed in the present invention includes a network construction module, a data acquisition module, a topology construction module, a routing construction module, a dynamic routing module, and a routing update module; the network construction module, data acquisition module, topology construction module, routing construction module, dynamic routing module, and routing update module are connected in series in sequence; the network construction module is used to construct a communication network structure for the target distributed smart grid and upload the data information to the data acquisition module; the data acquisition module is used to obtain the communication link status information of the target distributed smart grid based on the constructed communication network structure according to the received data information and upload the data information to the topology construction module; the topology construction module is used to calculate the weights of each link and construct the corresponding network topology model according to the received data information and the obtained communication link status information, and upload the data information to the routing construction module; the routing construction module is used to calculate the optimal transmission path for each node based on the service priority according to the received data information and the obtained data information to establish a hybrid routing table and upload the data information to the dynamic routing module; the dynamic routing module is used to perform data transmission according to the established hybrid routing table for each node according to the received data information to complete the dynamic routing of the heterogeneous communication network at the end of the distributed smart grid and upload the data information to the routing update module; the routing update module is used to monitor the communication link status in real time according to the received data information and update the hybrid routing table and select the communication mode according to the set rules.

Claims

1. A dynamic routing method for the heterogeneous communication network at the end of a distributed smart grid, comprising the following steps: S1. For the target distributed smart grid, construct a communication network structure; S2. Based on the communication network structure constructed in step S1, obtain the communication link status information of the target distributed smart grid; S3. According to the communication link status information obtained in step S2, calculate the weights of each link and construct a corresponding network topology model; S4. According to the data information obtained in step S3, based on the service priority, calculate the optimal transmission path for each node to establish a hybrid routing table; S5. Each node performs data transmission according to the hybrid routing table established in step S4 to complete the dynamic routing of the heterogeneous communication network at the end of the distributed smart grid.

2. The dynamic routing method for the heterogeneous communication network at the end of the distributed smart grid according to claim 1, wherein The step S1 of constructing a communication network structure for the target distributed smart grid specifically includes the following steps: Arrange a number of intelligent reflecting surfaces (IRS) in the target distributed smart grid, and the IRS enhances the wireless signal strength by reconstructing the wireless channel environment; The constructed communication network structure includes a network center node and a number of network sub-nodes; Among them, the intelligent fusion terminal serves as the network center node; the network sub-nodes include electricity meters, intelligent switches, distributed energy terminals, and intelligent reflecting surfaces (IRS).

3. The dynamic routing method for the heterogeneous communication network at the end of the distributed smart grid according to claim 2, characterized in that The step S2 of obtaining the communication link status information of the target distributed smart grid based on the communication network structure constructed in step S1 specifically includes the following steps: The network center node broadcasts a beacon to the network sub-nodes; After each network sub-node receives the beacon, it uses the radio frequency and high-speed power line carrier collaborative scanning technology to obtain the communication link status information between itself and its neighbor nodes, and uploads the obtained communication link status information to the network center node.

4. The dynamic routing method for the heterogeneous communication network at the end of the distributed smart grid according to claim 3, wherein The communication link status information includes the reachable paths between nodes in the network, the received signal strength of the wireless channels between network sub-nodes and neighbor nodes, the signal-to-noise ratio of the carrier channels, the incident angles between each network sub-node and the intelligent reflecting surface (IRS), the distance between the transmitting node and the intelligent reflecting surface (IRS), and the distance between the intelligent reflecting surface (IRS) and the receiving node.

5. The dynamic routing method for the heterogeneous communication network at the end of the distributed smart grid according to claim 4, characterized in that The step S3 of calculating the weights of each link according to the communication link status information obtained in step S2 specifically includes the following steps: Calculate the high-speed power line carrier link weight using the following formula: where w HPLC is the weight of the high-speed power line carrier link; SNR min is the minimum threshold of the signal-to-noise ratio of the high-speed power line carrier link; SNR HPLC is the signal-to-noise ratio of the high-speed power line carrier link; and it is also set that if SNR HPLC <SNR min , it is determined that the high-speed power line carrier link is unavailable; Calculate the radio frequency link weight using the following formula: where w RF is the radio frequency link weight; RS min is the minimum threshold of the received signal strength of the radio frequency link; RS RF is the received signal strength of the radio frequency link; and it is also set that if RS RF < RS min , it is determined that the radio frequency link is unavailable; Calculate the radio frequency + intelligent reflecting surface link weight using the following formula: where \(w\) RF+IRS is the radio frequency + intelligent reflecting surface link weight; \(G\) IRS is the signal gain after introducing the intelligent reflecting surface, and \(\lambda\) is the signal wavelength, \(N\) is the number of intelligent reflecting surfaces, \(\theta\) is the incident angle between the network sub-node and the intelligent reflecting surface IRS, \(d\) Tx-IRS is the distance between the transmitting node and the intelligent reflecting surface IRS, \(d\) IRS-Rx is the distance between the intelligent reflecting surface IRS and the receiving node; \(\varPhi\) is the phase adjustment matrix, and is the phase of the \(N\)th intelligent reflecting surface.

6. The dynamic routing method for the heterogeneous communication network at the end of the distributed smart grid according to claim 5, wherein The step S3 of constructing the corresponding network topology model specifically includes the following steps: The network topology model includes a node set, a link set, and a link mode; Among them, the node set includes the network center node and the network sub-nodes; the link set includes the connection relationships between nodes; the link mode includes the communication mode selected for each link, and the communication modes include high-speed power line carrier links, radio frequency links, and radio frequency + intelligent reflecting surface links.

7. The dynamic routing method for the heterogeneous communication network at the end of the distributed smart grid according to claim 6, wherein The step S4 of calculating the optimal transmission path for each node based on the service priority according to the data information obtained in step S3 to establish a hybrid routing table specifically includes the following steps: Set the service feature vector B i Let B i =(P i , D i ); where P i is the service priority of the i-th service, and P i ∈[1, P max , P max is the highest service priority; D i is the data volume of the i-th service, and D i ∈[0, D max , D max is the maximum data volume threshold of the service; Calculate the enhanced link quality sensitivity coefficient α as Calculate the enhanced hop count sensitivity coefficient β as The following formula is used as the path optimization objective function: Where C(P) is the objective function value; l is the link number; Z is the set of links included in the selected path; w l is the link weight coefficient, and P is the selected path; |P| represents the number of hops of the selected path; The genetic algorithm is used to solve the path optimization objective function; during the solving process, the chromosome consists of the selected path, communication mode, and phase adjustment matrix; Finally, according to the solution results, the optimal path and communication mode are assigned to each network sub-node, and at the same time, the phase matrix of the intelligent reflecting surface IRS is obtained to obtain the hybrid routing table.

8. The dynamic routing method for the heterogeneous communication network at the end of the distributed smart grid according to any one of claims 1 to 7, characterized in that The dynamic routing method for the distributed intelligent power grid end heterogeneous communication network described above further includes the following steps: S6. Real-time monitor the communication link status, and update the hybrid routing table and select the communication mode according to the set rules.

9. The dynamic routing method for the heterogeneous communication network at the end of the distributed smart grid according to claim 8, characterized in that The real-time monitoring of the communication link status in step S6 and the update of the hybrid routing table and the selection of the communication mode according to the set rules specifically include the following steps: The network center node real-time monitors the communication link status; if the communication quality of the communication link continuously deteriorates, then update the path, communication mode, and phase matrix of the intelligent reflecting surface IRS to realize the update of the hybrid routing table; If the intelligent reflecting surface IRS fails, only the high-speed power line carrier link and the radio frequency link are used for routing, and the intelligent reflecting surface IRS failure and alarm are marked.

10. A system for implementing the dynamic routing method for the heterogeneous communication network at the end of the distributed smart grid according to any one of claims 1 to 9, characterized in that It includes a network construction module, a data acquisition module, a topology construction module, a routing construction module, a dynamic routing module, and a routing update module; the network construction module, the data acquisition module, the topology construction module, the routing construction module, the dynamic routing module, and the routing update module are connected in series in sequence; the network construction module is used to construct the communication network structure for the target distributed intelligent power grid and upload the data information to the data acquisition module; the data acquisition module is used to obtain the communication link status information of the target distributed intelligent power grid based on the constructed communication network structure according to the received data information and upload the data information to the topology construction module; The topology construction module is used to calculate the weights of each link according to the received data information and the obtained communication link status information, construct the corresponding network topology model, and upload the data information to the routing construction module; the routing construction module is used to calculate the optimal transmission path for each node based on the service priority according to the received data information and the obtained data information to establish a hybrid routing table and upload the data information to the dynamic routing module; The dynamic routing module is used to perform data transmission according to the established hybrid routing table for each node according to the received data information to complete the dynamic routing of the distributed intelligent power grid end heterogeneous communication network and upload the data information to the routing update module; The routing update module is used to real-time monitor the communication link status according to the received data information and update the hybrid routing table and select the communication mode according to the set rules.

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