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Design and Modeling of Resilient Communication Networks for Power Smart Grids

Besharati Rad, Zohreh | 2014

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 45357 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Eshraghniaye Jahromi, Abdolhamid
  7. Abstract:
  8. Electric power supply has been the backbone of the growth in the societies in the current age. The future development of electric industry is towards implementing smart grids. Smart grids are based on a communication infrastructure, integrated with power system, which establish its diverse and real time communication requirements. Such an infrastructure must cover all stakeholders, and their different operational and non-operational needs, as well as it should be fast, reliable, affordable, and resilient. Due to high and diverse performance requirements of power communication systems, electric companies prefer to construct their own communication networks privately.
    The focus of this thesis is on the optimal and resilient design of power communication networks based on a two phases combinatorial modeling.
    In the first phase, a multi objective optimization model has been developed. The developed model requires tedious numerical processing. Hence, a tuned parameter Genetic Algorithm (GA) is proposed to solve the optimization problem. Considering the multi-objective nature of the problem, the answer is not unique at this stage.
    In the second phase, as power communication systems are vulnerable against physical and cyber challenges, a resiliency study conceptual framework is proposed by introducing the concept of ‘resiliency matrix’. This framework helps power communication network planners to evaluate all challenges and their numerous effects on the system, as well as to choose the final communication design based on its resiliency behavior.
    In order to demonstrate the application of the two phases model, a case study on designing a sample power communication network has been conducted. The results suggest that the developed model and its GA Solver, besides the conceptual framework for resiliency assessment, are entirely viable and offer economic, effective and robust power communication networks designs, simply and with minimal computational costs.
  9. Keywords:
  10. Communication Infrastructure ; Optimal Design ; Genetic Algorithm ; Smart Power Grid ; Service Quality ; Parameter Tune ; Resiliency Matrix

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