Special Session on Power quality improvement for Renewable Energies Systems: Application of intelligent and nature-inspired techniques

All innovative topics on the  power quality improvement  regarding any component of renewable energy system are welcome to join this special session. The session  covers topics including, but not limited to:

• Application of nature-inspired approaches in renewable  energies systems:  Particle Swarm Optimization, Harmony Search, Pattern Search, Simulated Annealing, Artificial Bee Colony, Artificial Bee Swarm Optimization,  Modified Artificial Bee Colony, Bird Mating Optimizer, Cuckoo Search, Artificial Fish Swarm Algorithm, Biogeography Based Optimization  Algorithm with Mutation, Artificial Immune System, Differential Evolution Algorithm, Flower Pollination Algorithm, Bat algorithm

• Intelligent control: neuronal, fuzzy, ANFIS, Genetic algorithm

• AC/DC converters with high power quality for renewable energy systems

• DC/DC Converters in renewable energy applications

• Active power filters (shunt, series and hybrid) 

• Sinus and PWM rectifiers

• Vienna rectifier applications in renewables energies

• Unity Power Factor corrector UPFC

• Power sources (PV and Wind)

• Power storage by batteries