Abstract
The need of photovoltaic generation system is getting elevated day by day since it has no involved fuel cost, eco-friendly and it has less maintenance. In case of partial shaded condition there are many peaks thus we use maximum power point tracking (MPPT) method to get maximum power. The proposed bioinspired technique has the ability to track maximum power point under any environmental condition i.e. high change in insolation and partially shaded condition. This paper reflects the implementation of MPPT method for photovoltaic system by making use of particle swarm optimisation (pso) technique. Simulation results have been provided to prove correctness of proposed model and results were compared with Hill Climbing method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Peddapati S, Palani S, MPPT of PV systems under partial shaded conditions through a colony of flashing fireflies. IEEE Trans Energy Convers
Salam Z (2012) Member, IEEE, Muhammad Amjad, and Saad Mekhilef, Member, IEEE an improved particle swarm optimization (PSO)–Based MPPT for PV with reduced steady-state oscillation. IEEE Trans Power Electron 27(8) Aug 2012
Omar AM (2011) Modeling and simulation of photovoltaic (PV) array and maximum power point tracker (MPPT) for grid-connected PV system. In: 2011 3rd International Symposium & Exhibition in Sustainable Energy & Environment. Malaysia, pp 1–3, June 2011
Phimmasone V, Endo T, Kondo Y, Miyatake M, Improvement of the Maximum Power Point Tracker for Photovoltaic Generators with Particle Swarm Optimization Technique by Adding Repulsive Force among Agents
Miyatake M, Veerachary M, Toriumi F, Fujii N, Ko H (2011) IEEE Trans Aerosp Electron Syst 47(1) Jan 2011
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media Singapore
About this paper
Cite this paper
Patra, J.K., Mohanty, S.B., Tania, H., Elangovan, D., Arunkumar, G. (2017). Application of Bio-Inspired MPPT Techniques for Photovoltaic System. In: Attele, K., Kumar, A., Sankar, V., Rao, N., Sarma, T. (eds) Emerging Trends in Electrical, Communications and Information Technologies. Lecture Notes in Electrical Engineering, vol 394. Springer, Singapore. https://doi.org/10.1007/978-981-10-1540-3_36
Download citation
DOI: https://doi.org/10.1007/978-981-10-1540-3_36
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-1538-0
Online ISBN: 978-981-10-1540-3
eBook Packages: EngineeringEngineering (R0)