Abstract
Smart meters are the basic equipment for data collection in a smart grid system and responsible for collecting, measuring, and transmitting original electricity data. The smart meter data is first transmitted to the data aggregation point (DAP) through wireless communication and then transmitted to the control center. Each DAP installation incurs costs, but the number and locations of DAPs have an impact on the quality of communication services due to the distance between DAP and smart meters and the related transmission routes. Therefore, it is important to choose the best positions for installing DAPs in a smart meter network. This study investigates the DAP placement problem and proposes a solution to reduce the number of DAPs and the distance between DAPs and smart meters by using a grid-based model. Without loss of generality, simulations for performance evaluation are conducted based on random data. The simulation results show that the proposed solution can reduce the number of DAPs in a smart meter network.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chren, S., Rossi, B., Pitner, T.: Smart grids deployments within EU projects: the role of smart meters. In: Proceedings of the 2016 Smart Cities Symposium Prague (SCSP), Prague, Czech Republic, 26–27 May 2016, pp. 1–5 (2016)
Gungor, V.C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., Hancke, G.P.: A survey on smart grid potential applications and communication requirements. IEEE Trans. Industr. Inf. 9(1), 28–42 (2013)
Pan, J.S., Kong, L., Sung, T.W., Tsai, P.W., Vaclav, S.: α-Fraction first strategy for hierarchical model in wireless sensor networks. J. Internet Technol. 19(6), 1717–1726 (2018)
Sung, T.W., Yang, C.S.: An adaptive joining mechanism for improving the connection ratio of ZigBee wireless sensor networks. Int. J. Commun. Syst. 23(2), 231–251 (2010)
Kong, P.: Effects of communication network performance on dynamic pricing in smart power grid. IEEE Syst. J. 8(2), 533–541 (2014)
Yang, T.Y., Yang, C.S., Sung, T.W.: An intelligent energy management scheme with monitoring and scheduling approach for IoT applications in smart home. In: Proceedings of the 3rd International Conference on Robot, Vision and Signal Processing (RVSP), Kaohsiung, Taiwan, 18–20 November 2015, pp. 216–219 (2015)
Ghosal, Q., Conti, M.: Key management systems for smart grid advanced metering infrastructure: a survey. IEEE Commun. Surv. Tutorials 21(3), 2831–2848 (2019)
Wang, G., Zhao, Y., Huang, J. Winter, R.M.: On the data aggregation point placement in smart meter networks. In: Proceedings of the 26th International Conference on Computer Communication and Networks (ICCCN), Vancouver, BC, Canada, 31 July–3 Aug 2017, pp. 1–6 (2017)
Sung, T.W., Hu, X., Ou, H.: Review of several address assignment mechanisms for distributed smart meter deployment in smart grid. Adv. Intell. Syst. Comput. 1261, 171–178 (2020)
Pan, J.S., Kong, L., Sung, T.W., Tsai, P.W., Vaclav, S.: A clustering scheme for wireless sensor networks based on genetic algorithm and dominating set. J. Internet Technol. 19(4), 1111–1118 (2018)
Aalamifar, F., Shirazi, G.N., Noori, M., Lampe, L.: Cost-efficient data aggregation point placement for advanced metering infrastructure. In: Proceedings of the IEEE Conference on Smart Grid Communications (SmartGridComm), Venice, Italy, 3–6 November 2014, pp. 1–6 (2014)
Wang, G., Zhao, Y., Ying, Y., Huang, J., Winter, R.M.: Data aggregation point placement problem in neighborhood area networks of smart grid. Mob. Netw. Appl. 23(4), 696–708 (2018)
Aini, A., Salehipour, A.: Speeding up the Floyd-Warshall algorithm for the cycled shortest path problem. Appl. Math. Lett. 25(1), 1–5 (2012)
Acknowledgment
This work is supported by Fujian University of Technology, China (Project Number: GY-Z18183 & GY-Z20016).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Xu, Y., Sung, TW., Chang, KC. (2021). A Grid-Based DAP Placement Approach for Smart Grids. In: Hassanien, AE., Chang, KC., Mincong, T. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2021. Advances in Intelligent Systems and Computing, vol 1339. Springer, Cham. https://doi.org/10.1007/978-3-030-69717-4_51
Download citation
DOI: https://doi.org/10.1007/978-3-030-69717-4_51
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-69716-7
Online ISBN: 978-3-030-69717-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)