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D. J. Shin, j. O. Kim, T. K. Kim, J. B. Choo and C. Singh, “Optimal Service Restoration and Reconfiguration of Network Using Genetic-Tabu Algorithm,” Electrical Power Systems Research, Vol. 71, No. 2, 2004, pp. 145-152. HUdoi:10.1016/j.epsr.2004.01.016U

has been cited by the following article:

• TITLE: Probabilistic Fuzzy Approach to Assess RDS Vulnerability and Plan Corrective Action Using Feeder Reconfiguration

  AUTHORS: Mini S Thomas, Rakesh Ranjan, Roma Raina

  KEYWORDS: Branch Voltage; Three Phase Load Flow; Voltage Stability Index (SI); Radial Distribution System (RDS); Monte Carlo; Probability Distributions; Fuzzy Set; Node Vulnerability Index(VI); Feeder Reconfiguration

  JOURNAL NAME: Energy and Power Engineering, Vol.4 No.5, September 26, 2012

  ABSTRACT: Two common problems for a typical Power distribution system are voltage collapse & instability. Challenge is to identify the vulnerable nodes and apply the effective corrective actions. This paper presents a probabilistic fuzzy approach to assess the node status and proposes feeder reconfiguration as a method to address the same. Feeder reconfiguration is altering the topological structures of distribution feeders by changing the open/closed states of the sectionalizing and ties switches. The solution is converge using a probabilistic fuzzy modeled solution, which defines the nodal vulnerability index (VI) as a function of node voltage and node voltage stability index and predicts nodes critical to voltage collapse. The information is further used to plan best combination of feeders from each loop in distribution system to be switched out such that the resulting configuration gives the optimal performance i.e. best voltage profile and minimal kW losses. The proposed method is tested on established radial distribution system and results are presented.