Research Article Open Access

A Genetic Algorithm Based Multi Objective Service Restoration in Distribution Systems

Sathish Kumar Kannaiah, Jayabarathi Thangavel and D. P. Kothari


Problem statement: A Genetic Algorithm (GA) used here to find exact or approximate solutions to optimization and search problems. Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as inheritance, mutation, selection and crossover. Approach: GA is a method for search and optimization based on the process of natural selection and evolution. In this approach, several modifications are done for effective implementation of GA to solve the Electric Power Service Restoration Problem. Results: The problem statement includes all the objectives and constraints required for a practical supply restoration scheme. GA is used here to obtain the better result compared with other methods. GA starts with number of solutions to a problem, encoded as a string of status of sectionalizing and tie switches. Conclusion: The status of the switch ‘1’ and ‘0’ has been considered as ‘close’ and ‘open’ condition of the switch. The string that encodes each string is ‘chromosome’ and the set of solutions are termed as population. Obtained results are good and this technique is recommended here for future study.

Journal of Computer Science
Volume 7 No. 3, 2011, 448-453


Submitted On: 4 February 2011 Published On: 9 March 2011

How to Cite: Kannaiah, S. K., Thangavel, J. & Kothari, D. P. (2011). A Genetic Algorithm Based Multi Objective Service Restoration in Distribution Systems. Journal of Computer Science, 7(3), 448-453.

  • 3 Citations



  • Genetic algorithm
  • Electric Power Distribution Systems (EPDS)
  • Electric Diesel Generator (EDG)
  • Optimistic Time (OT)
  • Pessimistic Time (PT)
  • Maximum Time (MT)
  • Standard Deviation (SD)
  • current transformer