CN114698119A - 5G communication/cloud-edge computing resource cooperative allocation method for distribution network distributed protection system - Google Patents
5G communication/cloud-edge computing resource cooperative allocation method for distribution network distributed protection system Download PDFInfo
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Abstract
The invention discloses a 5G communication/cloud-edge computing resource cooperative allocation method of a distribution network distributed protection system, which comprises the following steps: establishing three modes of a distributed protection device for judging whether the distributed protection device is in an abnormal state; secondly, establishing a cloud-edge computing delay model and a 5G communication model of the distribution network distributed protection monitoring and intelligent evaluation system; establishing an optimized objective function with minimum flow loss; and fourthly, solving the optimal solution of the optimization objective function, and obtaining the optimal scheme of 5G communication/cloud-side computing resource collaborative allocation of the network distribution system by utilizing the optimal solution to minimize 5G communication traffic loss. According to the invention, the problem of 5G communication flow loss caused by time constraint and intelligent evaluation computing capacity constraint of the distribution network distributed system is solved by optimizing the 5G communication/cloud-side computing resource cooperative allocation of the distribution network distributed system.
Description
Technical Field
The invention relates to a method for collaborative allocation of state data 5G communication/cloud-side computing resources, and belongs to the field of wireless communication.
Background
In recent years, the rapid development of the 5G communication technology provides a low-delay and high-reliability information channel for the distribution network protection service. With the development of information technology and the increase of diversified demands of power grids, the improvement of the flexibility and elasticity of power grid operation becomes an urgent demand of power systems. The 5G D2D technology enables information interaction between terminal users through multiplexing among allowed frequency spectrums, so that the frequency spectrum utilization rate can be greatly improved, the load pressure of a 5G base station is relieved, the flexibility of power grid operation is improved, the total amount of D2D users can be improved, and the communication quality of a distribution network is improved.
With the deep application of the power internet of things technology, the development trend is towards further mining a large amount of data values generated on the equipment side. This trend has sharply increased the requirements for device-side data storage, processing, and transmission, and requires lightweight computing services to be deployed on the device side to process information. The equipment side lightweight computing integrates resources such as network, storage, computing and the like, and can provide data service on the equipment side of the distribution network system so as to improve the operation efficiency of the system. However, the lightweight computing is only suitable for scenes such as real-time and short-period data analysis and local decision making, the overall analysis of the power distribution network is insufficient, and the main station computing platform is suitable for large data analysis of non-real-time and long-period data. Therefore, collaborative computing represents an advantage.
Current research in collaborative computing is mainly focused on edge computing, mobile edge computing, and multiple access edge computing. In the field of electric power, in the application of research of introducing cloud-side cooperation into services such as energy management, demand response, load prediction, intelligent operation and maintenance and the like, although the demand of an electric power application scene is considered, the theory of cooperative computing is concentrated on, and the application condition of massive equipment of distribution network equipment is not considered, so that the cooperative computing is combined with the conditions of computing resources, communication resource distribution and equipment configuration of a distribution network system, and the cooperative optimization becomes a difficult problem in research.
The method comprises the steps of constructing a road section impedance function by analyzing factors influencing path impedance through the great blog and the like of the electrical engineering and automation college of Jiangxi science and engineering university, and providing a path distribution method based on an improved Logit model, collecting data information of each path based on a 5G communication platform and a data transmission system, and sending a calculation result to a vehicle through the distribution method. Although the article proposes a path allocation method, the allocation method does not utilize computing resources on the vehicle side and resource reuse between vehicles, and the flexibility of operation of the internet of vehicles is low.
The Henan institute of science and technology, Lirui, installs a certain number of sensors with sensing function in a certain area according to actual conditions, accomplishes the design to transmission line on-line detection software and hardware circuit, through the on-line detection to transmission line, can grasp transmission line's running state in edge side in real time, can realize showing transmission line's running information on host computer interface, in time grasp transmission line's information, can also reach the purpose of raising the efficiency when reducing staff's work load. Although the article uses edge side processing circuit information, the defect of large cloud delay cannot be solved without using cloud edge cooperation.
The development background and key technology of edge computing are introduced by the electric and automation college Bai Yiyang of Wuhan university, the functions and characteristics of cloud-edge cooperation and edge-edge cooperation are explained, and the problems of high real-time performance, short data period, complex tasks and the like of an electric power system are solved by utilizing the technologies of cloud-edge cooperation, edge intelligence and the like. Although the requirement of a power application scene is considered, the article focuses on the theory of cooperative computing, and does not consider the combination of the cooperative computing and the conditions of the computing resources, the communication resource distribution and the equipment configuration of the distribution network system.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a 5G communication/cloud-side computing resource cooperative allocation method for a distribution network distributed protection system, so that the minimization of communication flow loss is realized under the constraint of meeting data transmission delay, the resource utilization rate of the distribution network system can be improved, and the communication quality of the distribution network 5G and the cloud-side cooperative computing capability are ensured.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention relates to a 5G communication/cloud-side computing resource cooperative allocation method of a distribution network distributed protection system, wherein the distribution network distributed protection monitoring and intelligent evaluation system comprises N distributed protection devices, a 5G base station and a cloud server; each distributed protection device comprises a sensor, a 5G communication module and an edge side embedded intelligent evaluation module, and the sensor monitors the state data of the distributed protection device; the cloud server comprises a cloud intelligent evaluation software module and is characterized by comprising the following steps:
step one, establishing three modes of a distributed protection device, wherein the three modes are used for judging whether the distributed protection device is in an abnormal state;
mode 1: whether the equipment is abnormal or not is evaluated through an edge side embedded intelligent evaluation module which operates per se;
mode 2: transmitting its own state data to edge-side embedded intelligent evaluation modules of adjacent other distributed protection devices through a 5G communication module in 5G D2D communication to evaluate whether itself is abnormal;
mode 3: transmitting the state data of the mobile terminal to a cloud intelligent evaluation software module through a 5G communication module, and evaluating whether the mobile terminal is abnormal or not;
step two, establishing a 5G communication model and a cloud-side computing delay model of the distribution network distributed protection monitoring and intelligent evaluation system;
step 2.1, establishing the 5G communication model according to the formula (2-1) -formula (2-4):
mode 1:
mode 2:
mode 3:
in the formula (2-1) -formula (2-4), RnEvaluating the state data quantity of the self equipment for the nth distributed protection device, wherein N is more than or equal to 1 and less than or equal to N,
evaluating whether the distributed protection device of the distributed protection device has abnormal state data quantity through a 1 st mode;
for transmission to other N-1 adjacent distributed protection devices via mode 2The embedded intelligent evaluation module is used for evaluating whether the distributed protection device of the embedded intelligent protection device has abnormal state data volume or not;
the abnormal state data volume is transmitted to a cloud intelligent evaluation software module through a 3 rd mode to evaluate whether the abnormal state data volume occurs in the distributed protection device;
step 2.2, constructing the cloud edge computing delay model by using the formula (2-5) -formula (2-8):
T＝max(T1，T2，T3) (2-5)
in the formula (2-5) -formula (2-8), T is the total delay time, T1、T2、T3Respectively evaluating delay time generated by abnormal state data quantity of the distributed protection device through a 1 st mode, a 2 nd mode and a 3 rd mode;
is 1024; v is a rate of status data for evaluating whether an abnormality occurs in the distributed protection apparatus itself by the 2 nd mode using 5G D2D communication transmission; b is the channel bandwidth; v. of1、v2、v3The calculation rates of the state data for evaluating whether the own distributed protection device has an abnormality or not through the 1 st mode, the 2 nd mode and the 3 rd mode respectively, and v3Is much greater than v1、v2；
Thirdly, constructing a flow loss objective function Y of the cooperation of cloud-side computing resources and 5G communication resources of the distribution network distributed protection monitoring and intelligent evaluation system, establishing constraint conditions of intelligent evaluation computing capacity according to limiting factors of the computing resources and the communication resources, and establishing delay constraint conditions according to real-time requirements of the intelligent evaluation;
step 3.1, constructing an objective function Y of the transmission flow loss of the state data by using the formula (3-1) to the formula (3-3):
in the formula (3-1) -formula (3-2), y(s) is the flow loss generated by the transmission of the state data through the s-th mode;
evaluating whether the distributed protection device of the distributed protection device has abnormal state data volume or not for the s-th mode; theta(s) is flow loss generated by evaluating whether abnormal state data of the distributed protection device per se occurs or not in the s mode through the 5G base station every time when kilobytes are transmitted; and θ (1) ═ 0, θ (2) ═ 0;
step 3.2, constructing a delay constraint and a constraint for intelligently evaluating the computing power by using an equation (3-4) to an equation (3-5):
T≤Tmin (3-4)
in the formula (3-4), TminIs the lowest delay time;
step four, solving an optimal solution of the 5G communication resource and cloud-side computing resource cooperative allocation by utilizing a joint improved Hungarian optimization algorithm;
step 4.1, constructing an NxN matrix R, wherein the ith row in the matrix RThe element in the jth column is denoted as Rij，RijSending the ith sensor to the N-j +1 th edge side embedded intelligent evaluation module in the N edge side embedded intelligent evaluation modules through the 1 st mode or the 2 nd mode to evaluate whether the own distributed protection device has abnormal state data volume; 1,2, …, N, j 1,2, …, N;
step 4.2: obtaining a matrix R 'by using the formula (4-1), so that zero elements are represented in each row of the matrix R':
in the formula (4-1),
the minimum element of the ith row in the matrix R;
step 4.3, obtaining a matrix R 'by using the formula (4-2), so that zero elements are presented in each row of the matrix R':
in the formula (4-2),
represents the smallest element of the jth column in the matrix R';
step 4.4, obtaining the minimum element by using the formula (4-3)
Then passes through a switching matrix R'ijI of (1)0Row element and jth row element, thereby implementing matrix R "ijAll smallest elements in (a) are arranged on the diagonal:
in the formula (4-2),
represents the smallest element in the matrix R ";
step 4.5, when diagonal elements of the matrix R 'are all zero, namely R'ijWhen the value of i is equal to j, and elements except diagonal lines in a matrix R' are maximum, the maximum state data quantity of whether the distributed protection device of the sensor is abnormal or not in the 1 st mode and the 2 nd mode is obtained, the N sensors evaluate in the N edge side embedded intelligent evaluation modules, and the optimal scheme of 5G communication/cloud edge computing resource cooperative distribution is obtained while the 5G traffic loss is minimized.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention designs three modes for judging whether the distributed protection device in the distribution network system has an abnormal state. The three modes run simultaneously, abnormal state data volume of the distributed protection device used for evaluating whether the distributed protection device per se is abnormal or not is processed at a higher speed and a higher efficiency, and therefore 5G flow loss of state data transmission is effectively reduced under the time delay limit and the calculation capacity limit, the resource utilization rate in the distribution network system and the working efficiency of the edge side embedded intelligent evaluation module are improved, the pressure of a 5G base station is relieved, and the 5G communication quality/cloud side cooperative calculation capacity of the distribution network system is improved.
2. The invention establishes a 5G communication model and a cloud-edge computing delay model corresponding to three modes in a distribution network system. Through the 5G communication model and the cloud-side computing delay model, the edge-side embedded intelligent evaluation module and the cloud-side intelligent evaluation software module can calculate and evaluate the computing capacity and the delay time more accurately, more accurate constraint conditions are provided for evaluating whether the distributed protection device per se has abnormal transmission flow loss of the state data quantity, the efficiency and the precision of state data quantity transmission and calculation are improved, and the working efficiency and the precision of the edge-side embedded intelligent evaluation module and the cloud-side intelligent evaluation software module are improved.
Drawings
Fig. 1 is a model diagram of 5G communication/cloud-edge computing resource cooperative allocation according to the present invention;
FIG. 2 is a flow chart of the method steps of the present invention.
Detailed Description
In this embodiment, as shown in fig. 1, a distribution network distributed protection system includes N distributed protection devices, a 5G base station, and a cloud server; each distributed protection device comprises a sensor, a 5G communication module and an edge side embedded intelligent evaluation module; the cloud server contains a cloud intelligent evaluation software module and comprises:
distributed protection devices: in the distributed protection device, a sensor generates state data by monitoring state data of the distribution network protection device and voltage/current data at two ends, wherein the state data comprises but is not limited to: the state data is transmitted to a cloud end \ embedded edge side through a 5G communication hardware module according to required intelligent evaluation computing capacity, the embedded edge sides can realize sharing of the state data of the distributed protection Device through 5GD2D (Device to Device) communication, the intelligent evaluation module in the embedded edge side downloads and calculates the state data, and transmits a processing result to the protection Device module, so that protection monitoring and intelligent evaluation of the distribution network distributed protection Device are realized;
in this embodiment, as shown in fig. 2, a method for collaborative allocation of 5G communication/cloud-side computing resources of a distribution network distributed protection system includes:
step one, setting three modes of a distributed protection device, wherein the three modes are used for judging whether the distributed protection device is in an abnormal state;
mode 1: whether the equipment is abnormal or not is evaluated through an edge side embedded intelligent evaluation module which operates per se;
mode 2: transmitting its own state data to edge-side embedded intelligent evaluation modules of adjacent other distributed protection devices through a 5G communication module in 5G D2D communication to evaluate whether itself is abnormal;
mode 3: transmitting the state data of the mobile terminal to a cloud intelligent evaluation software module through a 5G communication module, and evaluating whether the mobile terminal is abnormal or not;
the edge side embedded intelligent evaluation module and the cloud intelligent evaluation software module have different intelligent evaluation computing power and computing precision; in the 2 nd mode and the 3 rd mode, the traffic cost for transmitting data to the cloud end in the 5G communication mode and communicating with the D2D is different;
step two, establishing a 5G communication model and a cloud-side computing delay model of the distribution network distributed protection system;
step 2.1, establishing a 5G communication model according to the formula (2-1) -formula (2-4):
mode 1:
mode 2:
mode 3:
in the formula (2-1) -formula (2-4), RnEvaluating the state data quantity of the self equipment for the nth distributed protection device, wherein N is more than or equal to 1 and less than or equal to N,
evaluating whether the distributed protection device of the distributed protection device has abnormal state data quantity through a 1 st mode;
the abnormal state data volume of the distributed protection device is evaluated by an embedded intelligent evaluation module which is transmitted to other adjacent N-1 distributed protection devices through the 2 nd mode;
the abnormal state data volume is transmitted to a cloud intelligent evaluation software module through a 3 rd mode to evaluate whether the abnormal state data volume occurs in the distributed protection device; wherein the unit of the state data volume is kilobytes;
step 2.2, constructing a cloud edge computing delay model by using the formula (2-5) -formula (2-8):
T＝max(T1，T2，T3) (2-5)
in the formula (2-5) -formula (2-8), T is the total delay time, T1、T2、T3Respectively evaluating delay time generated by abnormal state data quantity of a distributed protection device of the distributed protection device through a 1 st mode, a 2 nd mode and a 3 rd mode, wherein the delay time is unit of second; theta represents the conversion of a unit from kilobytes to megabytes, and the value of theta is 1024; v is a rate of transmitting status data for evaluating whether or not abnormality occurs in the distributed protection apparatus itself by mode 2 using 5G D2D communication, and is expressed in kilobytes/second; b is channel bandwidth with unit of mega/second; v. of1、v2、v3The calculation rates of the state data for evaluating whether the distributed protection device itself has abnormality through the 1 st mode, the 2 nd mode and the 3 rd mode, respectively, and v3Is much greater than v1、v2In kilobytes/second;
step three, constructing a target function with the minimum state data transmission flow loss by using the steps 3.3-3.2:
step 3.1, constructing an objective function Y with the minimum state data transmission flow loss by using the formula (3-1) to the formula (3-3):
in the formula (3-1) -formula (3-2), y(s) is the flow loss generated by the transmission of the state data through the s-th model, and the unit is element;
evaluating whether the distributed protection devices of the distributed protection devices have abnormal state data volume for the s-th mode; theta(s) is flow charge generated by transmitting state data for evaluating whether the distributed protection device of the model per se is abnormal or not through the 5G base station every time when the kilobytes are transmitted in the s-th mode, and the unit is meta/kilobyte; since the 1 st and 2 nd modes do not transmit the status data through the 5G base station, the traffic fee generated by transmitting the status data through the 5G base station, that is, θ (1) is 0 and θ (2) is 0 is not generated, and the amount of the status data for evaluating whether the own distributed protection device is abnormal or not is evaluated by maximizing the 1 st and 2 nd modes
And
the minimum 5G flow loss Y is realized;
step 3.2, constructing a delay constraint and an intelligent evaluation computing power constraint condition by using an equation (3-4) -an equation (3-5):
T≤Tmin (3-4)
formula (3)In (4) TminIs constant and represents the lowest delay time.
Step four, solving an optimal solution of the 5G communication resource and cloud-side computing resource cooperative allocation by utilizing a joint improved Hungarian optimization algorithm;
step 4.1, constructing an N multiplied by N matrix R, wherein the element of the ith row and the jth column in the matrix R is marked as Rij，RijThe representative sensor sends the ith sensor to the (N-j + 1) th edge side embedded intelligent evaluation module through the 1 st mode or the 2 nd mode to evaluate whether the own distributed protection device has abnormal state data volume or not; 1,2, …, N, j 1,2, …, N;
step 4.2: and (3) enabling zero elements to be presented in each row of the matrix R by using the formula (4-1) to obtain a matrix R':
in the formula (4-1),
the minimum element of the ith row in the matrix R;
step 4.3, using the formula (4-2) to enable zero elements to be presented in each row of the matrix R, and obtaining a matrix R':
in the formula (4-2), the compound,
represents the smallest element of the jth column in the matrix R';
step 4.4, comparing the jth column element in the matrix R' with each row element respectively by using the formula (4-3), thereby obtaining the minimum element
Then passes through a switching matrix R'ijI of (1)0Line element and jth line element, thereby implementing a momentArray R'ijAll minimum elements in (1)
Arranged on the diagonal:
in the formula (4-2),
represents the smallest element in the matrix R ";
step 4.5, when diagonal elements of the matrix R 'are all zero, namely R'ijWhen j is equal to 0, the matrix R "has elements R outside the diagonal"ijWhen the maximum value is obtained, namely i ≠ j, the maximum state data quantity R of N sensors for evaluating whether the distributed protection device of the sensor is abnormal or not in N edge side embedded intelligent evaluation modules in the 1 st mode and the 2 nd mode is obtained "ijAnd (2-4) solving the minimum state data volume of each sensor for evaluating whether the distributed protection device of each sensor is abnormal or not through the cloud intelligent evaluation software module in the 3 rd mode
The optimal scheme of 5G communication/cloud edge computing resource cooperative allocation is obtained while the edge side embedded intelligent evaluation module communication/computing resources are maximized and 5G traffic loss of state data transmission is minimized.
Claims (1)
1. A5G communication/cloud-side computing resource cooperative allocation method for a distribution network distributed protection system is disclosed, wherein the distribution network distributed protection monitoring and intelligent evaluation system comprises N distributed protection devices, a 5G base station and a cloud server; each distributed protection device comprises a sensor, a 5G communication module and an edge side embedded intelligent evaluation module, and the sensor monitors the state data of the distributed protection device; the cloud server comprises a cloud intelligent evaluation software module, and is characterized by comprising the following steps:
step one, establishing three modes of a distributed protection device, wherein the three modes are used for judging whether the distributed protection device is in an abnormal state;
mode 1: whether the equipment is abnormal or not is evaluated through an edge side embedded intelligent evaluation module which operates per se;
mode 2: transmitting its own state data to edge-side embedded intelligent evaluation modules of adjacent other distributed protection devices through a 5G communication module in 5G D2D communication to evaluate whether itself is abnormal;
mode 3: transmitting the state data of the mobile terminal to a cloud intelligent evaluation software module through a 5G communication module, and evaluating whether the mobile terminal is abnormal or not;
step two, establishing a 5G communication model and a cloud-side computing delay model of the distribution network distributed protection monitoring and intelligent evaluation system;
step 2.1, establishing the 5G communication model according to the formula (2-1) -formula (2-4):
mode 1:
mode 2:
mode 3:
in the formula (2-1) -formula (2-4), RnEvaluating the state data quantity of the self equipment for the nth distributed protection device, wherein N is more than or equal to 1 and less than or equal to N,
evaluating whether the distributed protection device of the distributed protection device has abnormal state data quantity through a 1 st mode;
the data volume of the abnormal state of the distributed protection device is evaluated by an embedded intelligent evaluation module which is transmitted to other adjacent N-1 distributed protection devices through the 2 nd mode;
the abnormal state data volume is transmitted to a cloud intelligent evaluation software module through a 3 rd mode to evaluate whether the abnormal state data volume occurs in the distributed protection device;
step 2.2, constructing the cloud edge computing delay model by using the formula (2-5) -formula (2-8):
T＝max(T1，T2，T3) (2-5)
in the formula (2-5) -formula (2-8), T is the total delay time, T1、T2、T3Respectively evaluating delay time generated by abnormal state data quantity of the distributed protection device through a 1 st mode, a 2 nd mode and a 3 rd mode;
is 1024; v is evaluated from 2 nd mode using 5G D2D communication transmissionThe rate of whether abnormal state data occurs in the distributed protection device; b is the channel bandwidth; v. of1、v2、v3The calculation rates of the state data for evaluating whether the distributed protection device itself has abnormality through the 1 st mode, the 2 nd mode and the 3 rd mode, respectively, and v3Is much greater than v1、v2；
Thirdly, constructing a flow loss objective function Y of cooperation of cloud-side computing resources and 5G communication resources of the distribution network distributed protection monitoring and intelligent evaluation system, establishing constraint conditions of intelligent evaluation computing capacity according to limiting factors of the computing resources and the communication resources, and establishing delay constraint conditions according to real-time requirements of intelligent evaluation;
step 3.1, constructing an objective function Y of the transmission flow loss of the state data by using the formula (3-1) to the formula (3-3):
in the formula (3-1) -formula (3-2), y(s) is the traffic loss generated by the transmission of the state data through the s-th mode;
evaluating whether the distributed protection device of the distributed protection device has abnormal state data volume or not for the s-th mode; theta(s) is flow loss generated by evaluating whether abnormal state data of the distributed protection device per se occurs or not in the s mode through the 5G base station every time when kilobytes are transmitted; and θ (1) ═ 0, θ (2) ═ 0;
step 3.2, constructing a delay constraint and a constraint for intelligently evaluating the computing power by using an equation (3-4) to an equation (3-5):
T≤Tmin (3-4)
in the formula (3-4), TminIs the lowest delay time;
step four, solving an optimal solution of the 5G communication resource and cloud-side computing resource cooperative allocation by utilizing a joint improved Hungarian optimization algorithm;
step 4.1, constructing an N multiplied by N matrix R, wherein the element of the ith row and the jth column in the matrix R is marked as Rij，RijSending the ith sensor to the N-j +1 th edge side embedded intelligent evaluation module in the N edge side embedded intelligent evaluation modules through the 1 st mode or the 2 nd mode to evaluate whether the own distributed protection device has abnormal state data volume; 1,2, …, N, j 1,2, …, N;
step 4.2: obtaining a matrix R 'by using the formula (4-1), so that zero elements are represented in each row of the matrix R':
in the formula (4-1), the compound,
represents the smallest element of the ith row in the matrix R;
step 4.3, obtaining a matrix R 'by using the formula (4-2), so that zero elements are presented in each row of the matrix R':
in the formula (4-2),
represents the smallest element of the jth column in the matrix R';
step 4.4, obtaining the minimum element by using the formula (4-3)
Then passes through a switching matrix R'ijI of (1)0Row element and jth row element, thereby implementing matrix R "ijAll smallest elements in (a) are arranged on the diagonal:
in the formula (4-2),
represents the smallest element in the matrix R ";
step 4.5, when diagonal elements of the matrix R 'are all zero, namely R'ijWhen the value of i is equal to j, and elements except diagonal lines in a matrix R' are maximum, the maximum state data quantity of whether the distributed protection device of the sensor is abnormal or not in the 1 st mode and the 2 nd mode is obtained, the N sensors evaluate in the N edge side embedded intelligent evaluation modules, and the optimal scheme of 5G communication/cloud edge computing resource cooperative distribution is obtained while the 5G traffic loss is minimized.
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| CN116647052B (en) * | 2023-07-21 | 2023-10-03 | 合肥工业大学 | Intelligent substation automatic control scheduling method and system based on multi-edge cloud cooperation |
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