CN112910780B - Data transmission method of intelligent substation heterogeneous communication network - Google Patents
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Abstract
The invention discloses a data transmission method of an intelligent substation heterogeneous communication network, which comprises the steps of obtaining network communication parameters of the intelligent substation; calculating an IP network link flow factor and a micro-power wireless network link power factor; constructing a weighted hop routing cost function and calculating to obtain an optimal service transmission path; and carrying out data transmission of the heterogeneous communication network of the intelligent substation by adopting the optimal service transmission path. The invention provides a method for transmitting the heterogeneous communication network of the intelligent substation based on weighting optimization on the basis of comprehensively considering the service transmission of the mixed path of the IP network and the micropower network, which improves the transmission service quality of the heterogeneous communication network of the intelligent substation on the premise of ensuring the service delay requirement, and has the advantages of higher communication speed, better communication reliability and better effect.
Description
Technical Field
The invention belongs to the field of power grid automation, and particularly relates to a data transmission method of a heterogeneous communication network of an intelligent substation.
Background
With the development of economic technology and the improvement of living standard of people, electric energy becomes essential secondary energy in production and life of people, and brings endless convenience to production and life of people. Therefore, stable and reliable operation of the power system becomes one of the most important tasks of the power system.
In recent years, with the rapid development of intelligent substations, the scale of power systems is growing, and higher requirements are put forward on the intelligent substations. The communication network associated with the smart energy station is typically a heterogeneous communication network including an IP network and a micro-power wireless network. The micropower wireless network has the advantages of high communication transmission rate, low power consumption, low cost, easy construction, large-scale communication, easy embedded installation and the like, but the time delay is increased while the hop count is increased. The IP network has the advantages of stable communication, fixed time delay, etc., but the IP network often has certain complexity and lacks flexibility in wiring.
The existing intelligent substation network usually adopts a single IP network or a micropower wireless network method for service data transmission, and can meet the basic intelligent substation service communication requirement. However, with the increase of communication data and the higher requirement for communication rate, the conventional data traffic transmission of a single communication network adopted by the intelligent substation network cannot meet the requirement of the present day.
Disclosure of Invention
The invention aims to provide a data transmission method of a heterogeneous communication network of an intelligent substation, which has the advantages of high communication speed, good communication reliability and good effect.
The data transmission method of the intelligent substation heterogeneous communication network provided by the invention comprises the following steps:
s1, acquiring network communication parameters of an IP network and a micropower wireless network of an intelligent substation;
s2, calculating an IP network link flow factor and a micropower wireless network link power factor according to the network communication parameters obtained in the step S1;
s3, constructing a weighted hop count routing cost function;
s4, constructing a target function based on the weighted hop count routing cost function constructed in the step S3, and calculating to obtain an optimal service transmission path;
and S5, carrying out data transmission of the heterogeneous communication network of the intelligent substation according to the optimal service transmission path obtained in the step S4.
The network communication parameters of the IP network and the micropower wireless network of the intelligent substation obtained in step S1 are specifically obtained by obtaining the link number M of the micropower wireless network part, the link number Y of the node number X, IP network part in the micropower wireless network N, IP network part, the gateway number Z, and the total number K of nodes in the heterogeneous network, which are X + Y + Z; the statistical period is T; in the current statistical period, acquiring the residual battery energy g of two different nodes i and j in the micropower wireless networkiAnd gjAnd calculating the link residual energy of the nodes i and j
At the same time, after each statistical period is completed, g is paired in the next periodijUpdating is carried out; in the current statistical period, the distance d between two different nodes i and j in the micropower wireless network is obtainedij(ii) a In the current statistical period, acquiring communication flow l between two different nodes m and n in an IP networkmnAnd simultaneously after each statistical period is finished, the next period is used for lmnUpdating is carried out; wherein i, j, m and n are positive integers and the value ranges are [1, K]。
Calculating the link flow factor of the IP network and the link power factor of the micropower wireless network in step S2, specifically, calculating the link flow factor of the IP network and the link power factor of the micropower wireless network by the following steps:
in the formula wijThe link power factor between the nodes i and j in the micro-power wireless network in the current statistical period T is obtained; gijLink residual energy of nodes i and j in the current statistical period T is obtained; dijIs the distance between nodes i and j; gmaxThe maximum value of the link residual energy between any two nodes in the micropower wireless network in the current statistical period T is obtained; gminThe minimum value of the link residual energy between any two nodes in the micropower wireless network in the current statistical period T is obtained; dmaxThe maximum value of the distance between any two nodes in the micropower wireless network; dminThe minimum value of the distance between any two nodes in the micropower wireless network; u. ofmnThe link flow factor between the nodes m and n in the IP network in the current statistical period T is obtained; lmnCommunication traffic between nodes m and n in the current statistical period T is obtained; lmaxFor any two nodes in the IP network in the current statistical period TA maximum value of the communication traffic of (1); lminThe minimum value of the communication traffic between any two nodes in the IP network in the current statistical period T.
Step S3, constructing a weighted hop count routing cost function, specifically, constructing a weighted hop count routing cost function C by using the following formulas：
In the formula CsRouting a cost function for the weighted hop count in the current period T; subscript s represents a feasible path for service transmission, where the feasible path for service transmission includes t links, where the feasible links of the micropower wireless network are mm, the feasible links of the IP network are nn, and mm + nn is t; e is the link number of the micropower wireless network part in the service transmission feasible path s, and f is the link number of the IP network part in the service transmission feasible path s.
The step S4 of calculating to obtain the optimal service transmission path, specifically, the weighted hop count routing cost function C obtained in the step S3sThe maximum is an optimization target, under the condition that the number t of the feasible service transmission paths is less than the upper limit Q of the service route hops of the intelligent substation, the feasible service transmission paths s are searched by adopting a branch definition method, and the function C is usedsAnd taking the corresponding service transmission feasible path with the maximum value as the final optimal service transmission path.
The invention provides a data transmission method of a heterogeneous communication network of an intelligent substation, which is based on comprehensive consideration of service transmission of an IP network and a micropower network mixed path, fully considers the influence of an IP network flow factor and a micropower wireless network power consumption factor in the heterogeneous communication network on service transmission in the optimization of a transmission path, acquires the parameter information of the heterogeneous communication network containing the IP network and micropower wireless in the intelligent substation, calculates a micropower wireless link power factor and an IP network link flow factor of the heterogeneous network, acquires an optimal service transmission path according to a weighted hop number route cost function maximum criterion, and performs service transmission according to the optimal path; therefore, the method improves the transmission service quality of the heterogeneous communication network of the intelligent substation on the premise of ensuring the service delay requirement, and has the advantages of higher communication speed, better communication reliability and better effect.
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FIG. 1 is a schematic process flow diagram of the process of the present invention.
Fig. 2 is a schematic view of an application scenario of the embodiment of the method of the present invention.
Detailed Description
FIG. 1 is a schematic flow chart of the method of the present invention: the data transmission method of the intelligent substation heterogeneous communication network provided by the invention comprises the following steps:
s1, acquiring network communication parameters of an IP network and a micropower wireless network of an intelligent substation; specifically, the method comprises the steps of obtaining the number M of links of a micro-power wireless network part, the number Y of nodes of a N, IP network part, the number Z of gateways and the total number K of nodes of a heterogeneous network, wherein the number M of links of the micro-power wireless network part, the number X, IP of nodes in the micro-power wireless network part, and the total number K of the nodes of the heterogeneous network are X + Y + Z; the statistical period is T; in the current statistical period, acquiring the residual battery energy g of two different nodes i and j in the micropower wireless networkiAnd gjAnd calculating the link residual energy of the nodes i and j
At the same time, after each statistical period is completed, g is paired in the next periodijUpdating is carried out; in the current statistical period, the distance d between two different nodes i and j in the micropower wireless network is obtainedij(ii) a In the current statistical period, acquiring communication flow l between two different nodes m and n in an IP networkmnAnd simultaneously after each statistical period is finished, the next period is used for lmnUpdating is carried out; wherein i, j, m and n are positive integers and the value ranges are [1, K]；
S2, calculating an IP network link flow factor and a micropower wireless network link power factor according to the network communication parameters obtained in the step S1; specifically, the following steps are adopted to calculate the link flow factor of the IP network and the link power factor of the micropower wireless network:
in the formula wijThe link power factor between the nodes i and j in the micro-power wireless network in the current statistical period T is obtained; gijLink residual energy of nodes i and j in the current statistical period T is obtained; dijIs the distance between nodes i and j; gmaxThe maximum value of the link residual energy between any two nodes in the micropower wireless network in the current statistical period T is obtained; gminThe minimum value of the link residual energy between any two nodes in the micropower wireless network in the current statistical period T is obtained; dmaxThe maximum value of the distance between any two nodes in the micropower wireless network; dminThe minimum value of the distance between any two nodes in the micropower wireless network; u. ofmnThe link flow factor between the nodes m and n in the IP network in the current statistical period T is obtained; lmnCommunication traffic between nodes m and n in the current statistical period T is obtained; lmaxThe maximum value of the communication flow between any two nodes in the IP network in the current statistical period T is obtained; lminThe minimum value of the communication flow between any two nodes in the IP network in the current statistical period T is obtained;
s3, constructing a weighted hop count routing cost function; specifically, a weighted hop count routing cost function C is constructed and constructed by adopting the following formulas：
In the formula CsRouting a cost function for the weighted hop count in the current period T; the subscript s indicates the feasible path for traffic transmission,the feasible path of service transmission comprises t links, wherein the feasible links of the micropower wireless network are mm links, the feasible links of the IP network are nn links, and mm + nn is t; e is the link number of the micropower wireless network part in the feasible path s of service transmission, and f is the link number of the IP network part in the feasible path s of service transmission;
s4, constructing a target function based on the weighted hop count routing cost function constructed in the step S3, and calculating to obtain an optimal service transmission path; specifically, the weighted hop count routing cost function C obtained in step S3sThe maximum is an optimization target, under the condition that the number t of the feasible service transmission paths is less than the upper limit Q of the service route hops of the intelligent substation, the feasible service transmission paths s are searched by adopting a branch definition method, and the function C is usedsThe corresponding service transmission feasible path with the maximum value is taken as the final optimal service transmission path;
and S5, carrying out data transmission of the heterogeneous communication network of the intelligent substation according to the optimal service transmission path obtained in the step S4.
The process of the invention is further illustrated below with reference to one example:
fig. 2 is a schematic diagram of an application scenario of the embodiment: the intelligent substation business heterogeneous communication network in the current period is composed of a micropower wireless network and an IP network, wherein the number of links of the micropower wireless network part is M-2, the number of links of the IP network part is N-3, the number of nodes in the micropower wireless network is X-2, the number of nodes in the IP network is Y-3, the number of gateways is Z-1, the total number of nodes in the heterogeneous network is K-6, X + Y + Z, and the numbers of the nodes in the K heterogeneous networks are (phi), (phi) and (phi) in sequence, as shown in FIG. 2; the statistical period is T-10 (T is a positive integer and the unit is min); acquiring residual battery energy g of two different nodes i and j (i is 1, 2.. multidot.K; j is 1, 2.. multidot.K) in a micropower wireless network in the current periodiAnd gjAccording to the formula
Calculating link residual energy g of node i and node jij(in mW) after completion of each statistical periodOne period pair gijUpdating is carried out, and the distance d between two different nodes i and j (i is 1,2,.. K; j is 1, 2.. K) in the micropower wireless network is obtained simultaneouslyij(unit m), gijAnd dijAs shown in table 1; communication traffic l between two different nodes m and n ( m 1,2, K, n 1,2, K) in an IP network is acquired in a current periodmn(in kbps), as shown in Table 2, for l in the next cycle after completion of each statistical cyclemnAnd (6) updating.
Table 1 average remaining battery energy table for current period link
Table 2 current cycle link flow values
Respectively setting the maximum residual energy of a link and the minimum residual energy of the link of the micropower wireless network in the current period T as gmax＝max(gij) 300 and gmin＝min(gij) 100; respectively setting the maximum distance and the minimum distance between path nodes of the micropower wireless network as dmax＝max(dij) 260 and dmin＝min(dij) 80; according to the formula
Calculating a link power factor w between a node i and a node j in a micropower wireless networkijThe results are shown in Table 3; setting the maximum flow and minimum flow of the link of the IP network in the current period T as lmax＝max(lmn) 50 and lmin＝min(lmn) 10 according to the formula
Calculating a link flow factor u between a node m and a node n in an IP networkmnThe results are shown in table 4:
table 3 link power factor table
| Micropower wireless link | ①② | ①③ | ②③ |
| Link power factor wij | 0.3431 | 1 | 0 |
Table 4 link flow factor table
Setting the upper limit of the intelligent substation service routing hop number as Q-5 (Q is a positive integer and Q is less than 7); let the feasible path identifier of service transmission be s1,s2,s3,s4,s5,s6The network comprises 8 links, wherein the micropower wireless network link has 3 links, the IP network link has 5 links, and the network satisfies mm + nn as t, which is specifically shown in Table 5; according to the formula
Calculating current period weighting hop count routing cost function CsWherein e is the link number of the micropower wireless network part in the feasible path s of service transmission, f is the service transmissionLink number of IP network part in transmission feasible path s, CsThe calculation results of (a) are shown in table 6;
TABLE 5 alternative Path Table
| Path numbering | Path representation | mm | nn |
| s1 | ①③④⑤ | 1 | 2 |
| s2 | ①③⑥⑤ | 1 | 2 |
| s3 | ①③④⑥⑤ | 1 | 3 |
| s4 | ①②③④⑤ | 2 | 2 |
| s5 | ①②③⑥⑤ | 2 | 2 |
| s6 | ①②③④⑥⑤ | 2 | 3 |
Table 6 weighted hop count routing factor table
| Path numbering | Cs |
| s1 | 0.8333 |
| s2 | 0.5833 |
| s3 | 0.5625 |
| s4 | 0.4608 |
| s5 | 0.2733 |
| s6 | 0.3186 |
Routing a cost function C with a weighted number of hopssThe maximum is an optimization target, and under the condition that t is less than Q, a feasible path s for service transmission is searched according to a branch definition method1,s2,s3,s4,s5,s6，CsThe maximum corresponding feasible path for service transmission is the optimal path for service transmission in the current period, and the feasible path s for service transmission can be known from table 61Corresponding weighted hop count routing cost function CsMaximum, and therefore traffic transmission feasible path s1Transmitting path for optimal service, and transmitting s1Is marked by sopt；
Finally, according to the optimal path soptAnd carrying out service data transmission.
Claims (1)
1. A data transmission method of an intelligent substation heterogeneous communication network comprises the following steps:
s1, acquiring network communication parameters of an IP network and a micropower wireless network of an intelligent substation; specifically, the method comprises the steps of obtaining the number M of links of a micro-power wireless network part, the number Y of nodes of a N, IP network part, the number Z of gateways and the total number K of nodes of a heterogeneous network, wherein the number M of links of the micro-power wireless network part, the number X, IP of nodes in the micro-power wireless network part, and the total number K of the nodes of the heterogeneous network are X + Y + Z; the statistical period is T; in the current statistical period, acquiring the residual battery energy g of two different nodes i and j in the micropower wireless networkiAnd gjAnd calculating the link residual energy of the nodes i and j
At the same time, after each statistical period is completed, g is paired in the next periodijUpdating is carried out; in the current statistical period, the distance d between two different nodes i and j in the micropower wireless network is obtainedij(ii) a In the current statistical period, acquiring communication flow l between two different nodes m and n in an IP networkmnAnd simultaneously after each statistical period is finished, the next period is used for lmnUpdating is carried out; wherein i, j, m and n are positive integers and have all value rangesIs [1, K ]]；
S2, calculating an IP network link flow factor and a micropower wireless network link power factor according to the network communication parameters obtained in the step S1; specifically, the following steps are adopted to calculate the link flow factor of the IP network and the link power factor of the micropower wireless network:
in the formula wijThe link power factor between the nodes i and j in the micro-power wireless network in the current statistical period T is obtained; gijLink residual energy of nodes i and j in the current statistical period T is obtained; dijIs the distance between nodes i and j; gmaxThe maximum value of the link residual energy between any two nodes in the micropower wireless network in the current statistical period T is obtained; gminThe minimum value of the link residual energy between any two nodes in the micropower wireless network in the current statistical period T is obtained; dmaxThe maximum value of the distance between any two nodes in the micropower wireless network; dminThe minimum value of the distance between any two nodes in the micropower wireless network; u. ofmnThe link flow factor between the nodes m and n in the IP network in the current statistical period T is obtained; lmnCommunication traffic between nodes m and n in the current statistical period T is obtained; lmaxThe maximum value of the communication flow between any two nodes in the IP network in the current statistical period T is obtained; lminThe minimum value of the communication flow between any two nodes in the IP network in the current statistical period T is obtained;
s3, constructing a weighted hop count routing cost function; specifically, a weighted hop count routing cost function C is constructed by adopting the following formulas：
In the formula CsRouting a cost function for the weighted hop count in the current period T; subscript s represents a feasible path for service transmission, where the feasible path for service transmission includes t links, where the feasible links of the micropower wireless network are mm, the feasible links of the IP network are nn, and mm + nn is t; e is the link number of the micropower wireless network part in the feasible path s of service transmission, and f is the link number of the IP network part in the feasible path s of service transmission;
s4, constructing a target function based on the weighted hop count routing cost function constructed in the step S3, and calculating to obtain an optimal service transmission path; specifically, the weighted hop count routing cost function C obtained in step S3sThe maximum is an optimization target, under the condition that the number t of the feasible service transmission paths is less than the upper limit Q of the service route hops of the intelligent substation, the feasible service transmission paths s are searched by adopting a branch definition method, and the function C is usedsThe corresponding service transmission feasible path with the maximum value is taken as the final optimal service transmission path;
and S5, carrying out data transmission of the heterogeneous communication network of the intelligent substation according to the optimal service transmission path obtained in the step S4.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102984754A (en) * | 2012-11-06 | 2013-03-20 | 深圳市国电科技通信有限公司 | Method of wireless electricity transmission based on orthogonal frequency division multiplexing (OFDM) |
| CN104703244A (en) * | 2015-03-27 | 2015-06-10 | 国家电网公司 | IPv6 micro-power wireless communication method |
| CN104883696A (en) * | 2015-04-15 | 2015-09-02 | 国家电网公司 | Cyber physical system (CPS) wireless communication network equal cost multi-path (ECMP) dynamic control method |
| CN104994014A (en) * | 2015-05-11 | 2015-10-21 | 重庆邮电大学 | Communication method between power line carrier wave IPv and wireless ZigBee in smart grid communication |
| CN105262687A (en) * | 2015-09-14 | 2016-01-20 | 重庆邮电大学 | Networking communication method of electricity consumption information acquisition system based on WIA-PA technology |
| CN109741587A (en) * | 2019-01-10 | 2019-05-10 | 福建新大陆通信科技股份有限公司 | A kind of electric power data acquisition method based on Wi-Fi technology and CHINA RFTCOM Co Ltd |
| CN110121185A (en) * | 2019-06-17 | 2019-08-13 | 广东电网有限责任公司 | A kind of power distribution communication network route optimization method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9369177B2 (en) * | 2014-05-01 | 2016-06-14 | Cisco Technology, Inc. | Path diversity with poly-phase links in a power line communication network |
-
2021
- 2021-04-08 CN CN202110377049.9A patent/CN112910780B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102984754A (en) * | 2012-11-06 | 2013-03-20 | 深圳市国电科技通信有限公司 | Method of wireless electricity transmission based on orthogonal frequency division multiplexing (OFDM) |
| CN104703244A (en) * | 2015-03-27 | 2015-06-10 | 国家电网公司 | IPv6 micro-power wireless communication method |
| CN104883696A (en) * | 2015-04-15 | 2015-09-02 | 国家电网公司 | Cyber physical system (CPS) wireless communication network equal cost multi-path (ECMP) dynamic control method |
| CN104994014A (en) * | 2015-05-11 | 2015-10-21 | 重庆邮电大学 | Communication method between power line carrier wave IPv and wireless ZigBee in smart grid communication |
| CN105262687A (en) * | 2015-09-14 | 2016-01-20 | 重庆邮电大学 | Networking communication method of electricity consumption information acquisition system based on WIA-PA technology |
| CN109741587A (en) * | 2019-01-10 | 2019-05-10 | 福建新大陆通信科技股份有限公司 | A kind of electric power data acquisition method based on Wi-Fi technology and CHINA RFTCOM Co Ltd |
| CN110121185A (en) * | 2019-06-17 | 2019-08-13 | 广东电网有限责任公司 | A kind of power distribution communication network route optimization method |
Non-Patent Citations (3)
| Title |
|---|
| 基于OFDM的低压电力线载波通信和微功率无线通信的双模通信的低压集抄系统;马晓奇;《科技通报》;20160630;全文 * |
| 计及用户响应负荷颗粒度的精准切负荷控制方法;李琴;《电力建设》;20191231;全文 * |
| 面向智能电网的微功率网络中的备用路径算法研究;刘捷超;《中国优秀硕士学位论文全文数据库（电子期刊）》;20180430;全文 * |
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