<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Different communication networks are used in the different application environment of the smart grid. So, how to effectively select the communication networks with the optimal comprehensive performance is an important issue for the power management corporations. A novel comprehensive performance evaluation based on Exponential Scale Analytic Hierarchy Process (ESAHP) and Grey Analytic Hierarchy Process (GAHP) for the communication networks selection is proposed in the electricity information acquisition system. The ESAHP is used to calculate the weight of each communication performance index and the economic performance index, and the GAHP is adopted to evaluate the economic cost of the different communication modes. The optimal comprehensive communication model can be selected by comprehensively comparing the communication performance and the economic cost. The test results show that the assessment model can effectively evaluate the comprehensive performance of the different communication networks selection in the electricity information acquisition system of the smart grid.</p></abstract>

Different communication networks are used in the different application environment of the smart grid. So, how to effectively select the communication networks with the optimal comprehensive performance is an important issue for the power management corporations. A novel comprehensive performance evaluation based on Exponential Scale Analytic Hierarchy Process (ESAHP) and Grey Analytic Hierarchy Process (GAHP) for the communication networks selection is proposed in the electricity information acquisition system. The ESAHP is used to calculate the weight of each communication performance index and the economic performance index, and the GAHP is adopted to evaluate the economic cost of the different communication modes. The optimal comprehensive communication model can be selected by comprehensively comparing the communication performance and the economic cost. The test results show that the assessment model can effectively evaluate the comprehensive performance of the different communication networks selection in the electricity information acquisition system of the smart grid.

Comprehensive Performance Evaluation Strategy for Communication Networks Selection in Smart Grid

Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

State Grid Information & Telecommunication Co., Ltd, Beijing 102200, China

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Different communication networks are used in the different application environment of the smart grid. So, how to effectively select the communication networks...

Comprehensive Performance Evaluation Strategy for Communication Networks Selection in Smart Grid

Publié en ligne: 09 avr. 2016

Pages: 39 - 56

DOI: https://doi.org/10.1515/cait-2016-0003

Mots clés
Smart grid, comprehensive performance evaluation strategy, communication networks, exponential scale analytic hierarchy process, grey analytic hierarchy process

© 2016 Min Xiang et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Comprehensive Performance Evaluation Strategy for Communication Networks Selection in Smart Grid

Publié en ligne: 09 avr. 2016

Pages: 39 - 56

DOI: https://doi.org/10.1515/cait-2016-0003

Mots clésSmart grid, comprehensive performance evaluation strategy, communication networks, exponential scale analytic hierarchy process, grey analytic hierarchy process

© 2016 Min Xiang et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Smart grid, comprehensive performance evaluation strategy, communication networks, exponential scale analytic hierarchy process, grey analytic hierarchy process