The Research on Communication Technology Matching of Power Terminal Communication Access Network

Available online at www.sciencedirect.com Available online at www.sciencedirect.com

…‹‡…‡‹”‡…– …‹‡…‡‹”‡…–

Procedia online Computer 00 (2018) 000–000 Available at Science www.sciencedirect.com Procedia Computer Science 00 (2018) 000–000

ScienceDirect

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

Procedia Computer Science 155 (2019) 785–790

The 5th International Workshop on Wireless Technology Innovations in Smart Grid (WTISG) The 5th International Workshop on 19-21, Wireless Technology Innovations in Smart Grid (WTISG) August 2019, Halifax, Canada August 19-21, 2019, Halifax, Canada

The Research on Communication Technology Matching of Power The Research on Communication Technology Matching of Power Terminal Communication Access Network Terminal Communication Access Network

Peizhe Lia,a,*, Zhenfeng Xiaoaa, Zhongwei Chenaa, Yichao Wangaa, Xiaoping Wubb,Dawei Liaa, a b Peizhe Li *, Zhenfeng Xiao , Zhongwei Chen , Yichao , Xiaoping Wu ,Dawei Li , Ming Wen , Wenqi MaoWang Ming Wena, Wenqi Maob Economic and Technological Research Institute, State Grid Hunan Electric Power Company limited, Changsha 410004, China b State Research Grid Hunan Electric Power limited,Power Changsha 410004, ChinaChangsha 410004, China Economic and Technological Institute, State GridCompany Hunan Electric Company limited, b State Grid Hunan Electric Power Company limited, Changsha 410004, China

a a

Abstract Abstract The power terminal communication access network is an important part of the power communication network and an extension The power terminal communication access networkWith is anthe important part of the power communicationtechnology, network and extension of the power backbone communication network. rapid development of communication theantechnology of the power backbone With the rapid development communication technology, technology applicable to the terminalcommunication communicationnetwork. access network is diversified. The mostofsuitable communication access the technology for applicable to the terminal communication network diversified. for Theimproving most suitable communication access technology for different power communication access services is the isprerequisite communication efficiency and ensuring different power service terminalquality. communication prerequisite for improvingoptimization communication efficiency and based ensuring communication This paperservices designs isthethecommunication technology matching algorithm on communication service Thismathematical paper designs the communication algorithm based on subjective preference andquality. objective analysis. The algorithmtechnology weighs theoptimization preference ofmatching the business to the attributes subjective preferenceofand objective analysis. Thethe algorithm weighscommunication the preference of the business the attributes and the importance each attributemathematical itself, and finally derives most suitable technology for to different power and the importance of each attribute itself, andimproves finally derives the most suitable communication technology fornetwork. different power communication services, which fundamentally the performance of the terminal communication access communication services, which fundamentally improves the performance of the terminal communication access network. © 2019 Peizhe Li et al. Published by Elsevier B.V. © 2019 The Authors. Published by Elsevier B.V. © 2019 Peizhe et al. article Published by the Elsevier B.V. This is an openLi access under CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs. Peer-review under responsibility of the Conference Program Chairs. Peer-review under responsibility of the Conference Program Chairs. Keywords: Power Terminal Communication Access Network; Terminal Communication Service; Terminal Communication Access Technology; Subjective Objective mathematical analysis; Optimal Match Communication Service; Terminal Communication Access Technology; Keywords: preference; Power Terminal Communication Access Network; Terminal Subjective preference; Objective mathematical analysis; Optimal Match

* Corresponding author. Tel. : +86-15399923345. E-mail address:author. [email protected] * Corresponding Tel. : +86-15399923345. E-mail address: [email protected] 1877-0509 © 2019 Peizhe Li et al. Published by Elsevier B.V. This is an open access article the CC BY-NC-ND 1877-0509 © 2019 Peizhe Li under et al. Published by Elsevierlicense B.V. (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs. This is an open access article under CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs. 1877-0509 © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs. 10.1016/j.procs.2019.08.115

786 2

Peizhe Li et al. / Procedia Computer Science 155 (2019) 785–790 Peizhe Li et al / Procedia Computer Science 00 (2018) 000–000

1. Introduction The power terminal communication access network is a concept first proposed by State Grid Co., Ltd. in the 13th Five-Year Plan in China (2011-2015) communication network planning1. The plan defines the power terminal communication access network as an extension of the backbone communication network of the power system, and is an important part of the power communication network2, which can provide reliable access to the grid to help improve grid service quality. The power terminal communication access network can provide the connection between the power distribution terminals and the power backbone communication network, which can realize the information interaction between the terminal and the system, and have the ability to carry business and transfer information 3. With the rapid development of communication technologies such as power wireless private networks, high-speed power line carriers, and low-power WANs, the communication technologies that can be used in power terminal communication access networks are becoming more diverse, the integration of multiple communication technologies will be the development direction of the future power terminal communication access network. There have been many studies on terminal communication access networks: the authors in [4] propose a new hierarchical analysis method to evaluate the operation quality of terminal access equipment; a new management mode of terminal communication access network is put forward in [5], it clearly divides the interface of construction maintenance management, and carries out positioning analysis for all kinds of personnel; in [6] and [7], the authors focus on the security technology direction of power terminal communication access network, which analyze the risks of EPON, industrial Ethernet, wireless public network, and wireless private network in [6], and analysis of the security technology of current terminal communication access technology in [7]; in [8]~[10], the research of power terminal communication access network from the architecture level has complex communication environment, various types of equipment and obvious business differences; in the research of public platform construction in [11] and [12], the author gives the overall technical scheme and makes economic comparative analysis. It is believed that public access platform can effectively reduce costs through resource sharing; in [13], the author designs the application of various communication technologies in terminal communication access network, and puts forward the technology selection scheme on the premise of sufficient and insufficient budget. Although the above literature has done a lot of research on the terminal communication access network, there is no overall analysis and lateral comparison of the performance of various terminal communication access network technologies in this field, the matching between different communication technologies and power communication services is still based on subjective identification. In this paper, we design a match algorithm to achieve optimal matching between services and technologies to achieve optimal data transmission. 2. Communication technology matching algorithm The matching between the communication technology and the service requirements is mainly based on the performance indicators such as networking architecture, real-time performance, security, reliability, transmission distance, transmission bandwidth, cost, and technology maturity. In order to match each service with its most suitable communication technology, a service matching algorithm for the terminal communication access network is designed. The algorithm divides the attribute set into the subjective part and the objective part, and finally realizes the optimal matching of the communication technology, which is named as Communication Technology Optical Matching Algorithm based on Subjective and Objective Factors, CTOM. 2.1. Subjective factor

The subjective factors mainly consider the comparison of communication technologies under the influence of preferences. Suppose there is a business collection B , attribute collection P , communication technology collection T , one of the communication technologies is defined as T ( j ) , for a business B ( i ) , Classify several attributes with high business preference into a unified strong set, which can be recorded as SPB ( i ) ( SPB ( i )  P ), we can set a maximum attribute value to be the most valued attribute in a strong attribute set, which can be recorded as



Peizhe Li et al. / Procedia Computer Science 155 (2019) 785–790 Peizhe Li et al / Procedia Computer Science 00 (2018) 000–000

787 3

PI ( PI  SPB ( i ) ).Attributes with lower business preference are classified into unified weak sets, which can be recorded as WPB ( i ) ( WPB ( i )  P ), and SPB ( i ) WPB ( i ) =  . The normalized value of communication technology T ( j ) in arbitrary attribute pl  P can be expressed as nvBj ( i ) ( pl ) , which can make sure that The values of the grid communication properties of different units and directions can be converted into values within the interval  0,1 . Since there are positive and negative attributes in the grid communication properties, and the measurement units of the individual attribute values are different, attribute values need to be normalized for data analysis and business level metrics. The specific method of attribute value normalization is as follows, Equation (1) is used to solve the forward attribute, and equation (2) is used to solve the negative attribute.  vBj (i ) ( pl ) − v pminl  − v pminl nvBj (i ) ( pl ) =  v pmax l 1 

v pmax  v pminl l

(1)

v pl = v pl max

min

 v pmax − vBj (i ) ( pl ) max l v pl  v pminl  min − v nvBj (i ) ( pl ) =  v pmax pl l 1 v pmax = v pminl l 

(2)

vBj ( i ) ( pl ) represent the original value of communication technology T ( j ) in attribute pl within business scene B (i ) . For pl  P , sw ( pl ) is the subjective weight for attribute pl , for any business B ( i ) the B ( i ) should meet the following constraints:  sw ( pl ) = 1   pl P  pl  SPB(i ) , pl '  WPB(i ) , and sw ( pl )  sw ( pl ' )

(3)

In order to simplify the calculation, it is assumed that the strong and weak attributes have the same subjective weight value, respectively. And PI has the highest attribute value, then the constraint can be extended as follow:

 sw ( pl ) = 1  plP if p = PI , pl '  SPB(i ) , and pl  pl ' = then sw ( pl )  sw ( pl ')   1 l  if pl , pl '  SPB(i ) then sw ( pl ) = sw ( pl ' )  then sw ( pl ) = sw ( pl ' ) if pl , pl '  WPB(i )  then sw ( pl )  sw ( pl ')   1 if pl  SPB(i ) , pl '  WPB(i ) , and pl  PI =

(4)

It can be derived from Equation (4) that, if pl  WPB ( i ) , then: sw ( pl ) =

1 WPB(i ) +  SPB(i ) − 1 + 

If pl  SPB ( i ) and pl  PI , then：

(5)

et al. / Procedia Computer 155000–000 (2019) 785–790 PeizhePeizhe Li et alLi/ Procedia Computer ScienceScience 00 (2018)

4788



sw ( pl ) =

(6)

WPB(i ) +  SPB(i ) − 1 + 

If pl = PI , then：



sw ( pl ) =

(7)

WPB(i ) +  SPB(i ) − 1 + 

represents the number of elements in the collection,  indicates the extent to which the strongest preference attribute in the business is more important than other strong preference attributes,  indicates that a strong preference attribute is more important than a weak preference attribute.  and  can be flexible adjustment according to user needs. Get subjective weight values for all attributes and the normalized value of communication technology T ( j ) in arbitrary attribute pl  P , we can obtain the subjective measure SubBT ((ij)) for T ( j ) in B ( i ) : SubBT((i )j ) =  nvBj (i ) ( pl ) sw ( pl )

(8)

pl P

2.2. Objective factor The objective factor mainly analyzes the importance of grid communication technology as a role in power application scenarios from the perspective of mathematical statistics. Based on the partitioning ability of different communication attributes, the concept of attribute metric is proposed. The rough set theory is introduced to calculate its specific value. Finally, the attribute metric and the normalized value of different communication techniques on the attribute can be derived to obtain the objective metric. In order to calculate the attribute metric, introduce the definition of rough theory set: Definition 1: In information system I = (U , A,V , f ) , U is a non-empty set of finite subjects, A is a non-empty set of attributes, for any a  A , Va is the set of selectable values of attribute a , and V = aA Va . f : U  A → V is an information function, for any a  A and u  U , f ( u , a )  Va . Information system I can be abbreviated as I = (U , A ) . Definition 2: For information system I = (U , A ) and any X  A , defining unresolvable relations I X as:

= Ix

,a) ( x, y )  U  U | a  X , f ( x=

f ( y , a )

If ( x, y )  I X , then x and y is the indistinguishable pair in X , I X can be related equivalence relation. Definition 3: For information system I = (U , A ) and any X  A , defining particle size:

GD = U2 Ix U ( I x ) I= x

2

GD ( I X ) can be abbreviated as GD ( X ) , 1 U  GD ( X )  1 . Definition 4: For information system I = (U , A ) , X  A and x  A , I X is the related equivalence of X , defining the importance as: SIGX ( x ) =

GD ( X ) − GD ( X   x ) GD ( X )

= 1−

I X x Ix



Peizhe Li et al. / Procedia Computer Science 155 (2019) 785–790 Peizhe Li et al / Procedia Computer Science 00 (2018) 000–000

0  SIGX ( x )  1 − Ix

789 5

2

U .

Based on definition 1~4, deriving the definition of attribute metrics: in the information system I = ( B, P ) , pl  P , the attribute metric for pl is the ability to distinguish the business set B : MEAS ( pl ) = SIG ( pl ) = 1 − I pl 

B

2

(9)

Define the objective weight of communication properties pl ( pl  P ) as:

 MEAS ( p )

ow ( pl ) = MEAS ( pl )

(10)

l

pl P

Based on the objective weight, we can obtain the objective measure as: ObjBT ((ij)) =

 nv ( ) ( p ) ow ( p )

pl P

j B i

l

(11)

l

2.3. Communication technology rating function Comprehensive subjective factors and objective factors, we can grading the different communication technologies in the business scenario B ( i ) by the communication technology rating function: T ( j) Sort =  SubBT((ij)) + (1 −  ) ObjBT ((ij)) B(i )

(12)

Parameter    0,1 is a preference strength parameter used to weigh the subjective and objective factors, sort T j the values SortB ((i )) calculated by all communication technologies, the communication system with the most value is the most suitable for the business scenario. 3. Common business matching results Matching several common business and communication technologies by CTOM, the results obtained are shown in the table 1. Table 1. Common business communication technology matching results Industrial Medium Business EPON Ethernet pressure PLC

230MHz wireless private network

1.8G wireless private network

Wireless public network

Distribution automation

0.7

0.59

0.38

0.67

0.62

0.53

Electricity information collection

0.67

0.53

0.37

0.7

0.68

0.76

Electric vehicle charging pile\station

0.65

0.63

0.32

0.69

0.71

0.62

Distributed Power

0.63

0.53

0.44

0.66

0.61

0.64

Precision load control

0.78

0.61

0.55

0.69

0.67

0.57

It can be seen that the sorting of communication technologies of different services can be obtained by the CTOM algorithm, and the distribution automation service is most suitable to be carry by EPON. The power information collection service can be carry by the wireless public network technology, and the data of the electric vehicle charging pile is most suitable to be carry by 1.8G wireless private network. The most suitable communication technology for distributed power (35/10kV) communication service is 230MHz wireless private network. The precise load control service is most suitable to be carry by EPON. The matching result is shown in Fig.1.

790 6

Peizhe Li et al. / Procedia Computer Science 155 (2019) 785–790 Peizhe Li et al / Procedia Computer Science 00 (2018) 000–000

Fig.1 The matching result

4. Conclusion This paper designs a matching algorithm for the targeted service and technology to achieve the optimal matching of the differentiated demand business and communication technology, thus achieving the optimal data transmission. The design of the CTOM algorithm weighs the influence of subjective factors and objective factors, and comprehensively considers the demand of communication performance of the business, and provides a scientific basis for the choice of communication technology of the terminal communication access network. References [1] Zhao Bingzhen, Li Weiliang, Wang Yirong, et al. Construction of Terminal Communication Access Network[J]. Power System Communications, 2011, 32(5): 89-94. [2] Cheng Yuan, Li Wenjing, Wang Xiaoyan. Research on Unified Construction Mode of Power Terminal Communication Access Network[J]. Electric Power Information and Communication Technology, 2014, 12(6): 11-15. [3] Meng Lingli, Wang Wei, Wang Wei, et al. Application of Analytic Hierarchy Process in Terminal Communication Access Network[J]. ELECTRICAL APPLICATIONS, 2015(S2):615-618. [4] MA Ping, SHI Chen-xia, YU Zhao-hui. Discussion on Construction and Maintenance Management Mode of Power Communication Terminal Access Network[J]. Electric Power Information and Communication Technology, 2014(5): 132-135. [5] LU Wei, ZHOU Wei. Research on Risk Analysis and Security Access Technology of Power Terminal Communication Access Network[J]. Communication Technology, 2017(9). [6] Hu Yang, Ding Chenyang, Jiang Suming. Analysis of Channel Security Technology for Power Terminal Communication Access Network[J]. Communications, 2016(20). [7] Quan Nan, Lei Yiqing, Huang Bizhen, et al. Research on Power Terminal Communication Access Architecture under Smart Grid[J]. Power System Communications, 2012, 33(1): 74-77. [8] Yu Xijun, Cui Weiguo, Zhong Wentao. Design of Communication Access Architecture for Power Terminals under Smart Grid[J]. China New Communications, 2015, 17(21): 124-124. [9] Meng Fanbo, Zhao Hongwei, Wang Jie. Research on the Construction of Power Terminal Communication Access Network[J]. Power System Communications, 2012, 33(6). [10] Jiang Wei. Research on the Construction of Terminal Communication Public Access Platform[J]. , Grid, 2017(4). [11] Liao Qinwu. Research on Public Access Platform of Terminal Communication Access Network[J]. Electric Power Information and Communication Technology, 2016(11):93-97. [12] Sun Yuanyuan. Research and application of communication access network technology in smart grid [D]. 2016.