Multi objective distributed generation planning using NSGA-II

Ahmadi, M ; Sharif University of Technology | 2008

345 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/EPEPEMC.2008.4635534
  3. Publisher: 2008
  4. Abstract:
  5. With the increasing share of distributed generation in electrical energy supply, the proper planning procedure for using these units, has become more vital for power system planners. In this paper, the application of multi-objective optimization techniques for siting, sizing and determination of the proper technology to be used, has been investigated in such a way that, the load demand during the planning horizon is met and the technical and environmental constraints are satisfied. Unlike the traditional optimization methods used in power system optimization, NSGA-II multi-objective optimization algorithm does not consider techno-economical and environmental parameters in the constraints of optimization problem. This method optimizes them simultaneously as multiple cost functions to find out nondominated solutions set, named Pareto optimal front, instead of aiming to find single solution. © 2008 IEEE
  6. Keywords:
  7. Cost functions ; Electric power systems ; Electric power transmission networks ; Motion control ; Motion planning ; Optimization ; Photolithography ; Power electronics ; Power transmission ; Solutions ; Distributed generation ; Distributed generations ; Electrical energy supplies ; Environmental constraints ; Environmental parameters ; Load demands ; Multi-objective optimizations ; Non-dominated solutions ; Nsga-ii ; Optimization methods ; Optimization problems ; Pareto optimal front ; Planning horizons ; Planning procedures ; Power system optimizations ; Power systems ; Single solutions ; Multiobjective optimization
  8. Source: 2008 13th International Power Electronics and Motion Control Conference, EPE-PEMC 2008, Poznan, 1 September 2008 through 3 September 2008 ; 2008 , Pages 1847-1851 ; 9781424417421 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4635534