Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Choosing an optimal connecting place of a nuclear power plant to a power system using Monte Carlo and LHS methods

  • Kiomarsi, Farshid (Department of Electrical Engineering, Neyshabur Branch, Islamic Azad University) ;
  • Shojaei, Ali Asghar (Department of Electrical Engineering, Neyshabur Branch, Islamic Azad University) ;
  • Soltani, Sepehr (Department of Electrical Engineering, Sabzevar Branch, Islamic Azad University)
  • Received : 2019.06.30
  • Accepted : 2020.01.06
  • Published : 2020.07.25
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Abstract

The location selection for nuclear power plants (NPP) is a strategic decision, which has significant impact operation of the plant and sustainable development of the region. Further, the ranking of the alternative locations and selection of the most suitable and efficient locations for NPPs is an important multi-criteria decision-making problem. In this paper, the non-sequential Monte Carlo probabilistic method and the Latin hypercube sampling probabilistic method are used to evaluate and select the optimal locations for NPP. These locations are identified by the power plant's onsite loads and the average of the lowest number of relay protection after the NPP's trip, based on electricity considerations. The results obtained from the proposed method indicate that in selecting the optimal location for an NPP after a power plant trip with the purpose of internal onsite loads of the power plant and the average of the lowest number of relay protection power system, on the IEEE RTS 24-bus system network given. This paper provides an effective and systematic study of the decision-making process for evaluating and selecting optimal locations for an NPP.

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