Abstract
The use of suitable communication technologies reduces power consumption, operational efficiency of the smart grid (SG), and collaboration between SG aspects from generation to the end-user. This paper aims to investigate an appropriate communication technology for SG. This is the first time to integrate communication technologies and use fuzzy Technique of Order Preference Similarity to the Ideal Solution (F-TOPSIS) method to determine which communication technology is appropriate for the SG, in which Fuzzy logic approach can tackle vagueness and ambiguity in data and produce weights for all criteria and alternatives in the multi-criteria decision-making problem. The proposed method contains three stages: firstly, a comprehensive literature review and an expert's assessment are applied to identify relevant criteria for evaluating communication technologies. The evaluation criteria are cost, security, scalability, interference, reliability, flexibility, privacy, quick development, and wider spread access. Secondly, experts assign the weights for the appraisal criteria. Finally, the F-TOPSIS is implemented to find the appropriate alternative. The results in case study show that wireless communication technology is more appropriate and suitable for the SG. It expands the study of communication technologies and SGs from the perspectives of electricity generation, transmission, distribution, and environmental degradation, and may be helpful for the future SG communication technologies infrastructure.
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Abbreviations
- SG:
-
Smart grid
- CTs:
-
Communication technologies
- WMN:
-
Wireless Mesh Network
- CC:
-
Cellular communication
- Mbps:
-
Megabits per second
- GPRS:
-
General packet radio service
- GSM:
-
Global System for Mobiles
- 2G:
-
Second-generation
- 3G:
-
Third-generation
- 4G:
-
Fourth-generation
- 5G:
-
Fifth-generation
- LTE:
-
Long-Term Evolution
- WiMAX:
-
Worldwide interoperability for microwave access
- CR:
-
Cognitive radio
- IEEE:
-
Institute of Electrical and Electronics Engineers
- Kbps:
-
Kilobit Per Second
- m:
-
Meter
- s:
-
Seconds
- MHz:
-
Megahertz
- Wi-Fi:
-
Wireless-fidelity
- GHz:
-
Gigahertz
- ISO/IEC:
-
International Organization for Standardization and the International Electrotechnical Commission
- km:
-
Kilometer
- mW:
-
Milliwatt
- PLC:
-
Power line communication
- NB:
-
Narrowband
- BB:
-
Broadband
- KHz:
-
Kilohertz
- ANP:
-
Analytic network process
- ELECTRE:
-
ELimination et Choix Traduisant la REalite
- MACBETH:
-
Measuring attractiveness through a categorical- based evaluation technique
- OFC:
-
Optical fiber communication
- DSL:
-
Digital subscriber line
- ADSL:
-
Asymmetrical digital subscriber line
- ADSL2+ :
-
Asymmetrical digital subscriber line2+
- VDSL:
-
Very High digital subscriber line
- FST:
-
Fuzzy Set Theory
- TFN:
-
Triangular fuzzy number
- LVs:
-
Linguistic variables
- MCDM:
-
Multi-criteria decision-making
- PIS:
-
Positive ideal solution
- NIS:
-
Negative ideal solution
- FIPS A+ :
-
Fuzzy positive ideal solution
- FIPS A− :
-
Fuzzy negative ideal solution
- CC:
-
Closeness coefficient
- WC1:
-
Wireless communication
- WC2:
-
Wired communication
- CS1:
-
Cost
- SE2:
-
Security
- SC3:
-
Scalability
- IF4:
-
Interference
- RE5:
-
Reliability
- FL6:
-
Flexibility
- PR7:
-
Privacy
- QD8:
-
Quick development
- WS9:
-
Wider spread access
- DC:
-
Decision-makers
- CSMA/CA:
-
Carrier sense multiple access/collision avoidance
- PHEVs:
-
Plug-in hybrid electric vehicles
- TOPSIS:
-
Technique of Order Preference Similarity to the Ideal Solution
- VIKOR:
-
VIekriterijumsko KOmpromisno Rangiranje
- PROMETHEE:
-
Preference Ranking Organization Method for Enrichment of Evaluations
- AHP:
-
Analytic hierarchy Process
- NIST:
-
National Institute of Standards and Technology
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This research was supported by the National Nature Science Foundation of China, 71971117.
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Daud Abdul contributed to the preparation conceptualization, methodology, software and writing of the original draft. Dr. Jiang Wenqi performed supervision, review, editing, mathematical investigation, and verification of the analysis.
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Abdul, D., Wenqi, J. Evaluating appropriate communication technology for smart grid by using a comprehensive decision-making approach fuzzy TOPSIS. Soft Comput 26, 8521–8536 (2022). https://doi.org/10.1007/s00500-022-07251-0
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