6533b830fe1ef96bd12965de

RESEARCH PRODUCT

Constrained Robust MultiObjective Optimization for Reactive Design in Distribution Systems

Mariano Giuseppe IppolitoLuigi DusonchetAntonino AugugliaroE. Riva SanseverinoSalvatore Favuzza

subject

Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaDistribution systemMathematical optimizationDistribution networksRobustness (computer science)Stochastic processControl theoryGenetic algorithmOptimal reactive power design Multiobjective optimization robust optimization distribution systemsRobust optimizationAC powerMulti-objective optimizationMathematics

description

This paper presents a new formulation including robustness of solution of constrained multiobjective design or reactive power compensation. The algorithm used for optimization is the NSGA-II (Non dominated Sorting Genetic Algorithm II) with a special crowded comparison operator for constraints handling. The need for including the issue of robustness of solutions derives from the simple observation that loads are uncertain in distribution systems and their estimation is often affected by errors. In design problems it is desirable to consider the loads with a certain range of variation. In this paper the NSGA-II algorithm is applied to efficiently solve the issue and the solutions attained considering stochastic loads are compared to those considering precise loads.

yearjournalcountryeditionlanguage
2006-06-012006 International Conference on Probabilistic Methods Applied to Power Systems
https://doi.org/10.1109/pmaps.2006.360313