Application of non-dominated sorting genetic algorithm (NSGA-II) in siting and sizing of wind farms and FACTS devices for optimal power flow in a system.
Mohammad Reza AghaebrahimiReza Kazemi GolkhandanSajjad AhmadniaPublished in: AFRICON (2017)
Keyphrases
- nsga ii
- multi objective
- multi objective optimization
- evolutionary algorithm
- test problems
- optimization problems
- pareto optimal
- multiobjective optimization
- optimization algorithm
- wind farm
- optimal solution
- optimal power flow
- fitness function
- mutation operator
- multi objective evolutionary algorithms
- differential evolution
- genetic algorithm
- objective function
- bi objective
- knapsack problem
- pareto fronts
- strength pareto evolutionary algorithm
- crossover operator
- particle swarm optimization
- multi objective problems
- multiple objectives
- evolutionary computation
- power system
- branch and bound algorithm
- metaheuristic
- np hard
- pareto dominance
- long term
- search algorithm