Data Aggregate Point Placement for Smart Grid with Joint Consideration of Communication and Power Networks

  • Amany Mahdy

Student thesis: Master's Thesis


Smart grid integrates advanced information and communication technologies into the traditional power grid to improve its efficiency and stability. In the smart grid communication network, data aggregate point (DAP) plays an important role in connecting smart meters to the utility center. The location of DAP can affect the communication link quality and efficiency with its associated smart meters. In the literature, DAP placement has been performed without considering the power network topology, but solely from communication network's perspective. This is not reasonable because having smart meters on different feeders in the power network, connecting to the same DAP in the communication network may lead to inefficient data aggregation. This thesis proposes to jointly consider the topologies of both power and communication networks, in achieving a higher communication efficiency, and fulfilling a desired level of communication reliability. Our idea is to aggregate and compress the packets coming from the same power feeder at a DAP before transmitting them to the utility center to decrease the overall delay. Following this idea, the number of DAPs deployed will affect the delay as well as the system cost. We have formulated a mixed-integer program to take into account these factors in deciding the optimal number and locations of DAP, that would minimize the communication delay and system cost. We have solved the optimization problem using genetic algorithm. The results show that the right number of DAP can indeed be found for any given topology of smart meters and power network. From the results, we conclude that the desired number of DAPs in an area is where the delay starts to be almost constant while increasing the number of DAPs.
Date of AwardMar 2017
Original languageAmerican English
SupervisorPeng-Yong Kong (Supervisor)


  • smart grid
  • data aggregate point
  • placement
  • optimization
  • genetic algorithm
  • joint
  • power network
  • communication network.

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