Constrained Robust MultiObjective Optimization for Reactive Design in Distribution Systems

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 handl...

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Bibliographic Details
Main Authors: Augugliaro, A., Dusonchet, L., Favuzza, S., Ippolito, M.G., Sanseverino, E.R.
Format: Conference Proceeding
Language:English
Subjects:
Capacitors
Constraint optimization
Design optimization
distribution systems
Multiobjective optimization
Optimal reactive power design
Power systems
Reactive power
robust optimization
Robustness
Sorting
Stochastic systems
Uncertainty
Voltage
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Summary: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
DOI:10.1109/PMAPS.2006.360313