• Atthipatla Uday Kumar
• Devadi Jagadeesh

With the increasing demand of energy, renewable energy sources such as wind, solar are getting more attention as compared to conventional energy sources because of fuel cost, global warming, depletion of fossil fuels and lesser noise. Among different renewable energy sources, the photovoltaic generation is the most attractive research during the past decades. The major issue involved in solar PV system is low conversion efficiency; further the efficiency reduces under partial shaded conditions (PSC). Thus there is need of control algorithms which can extract the maximum power from this system irrespective of the environmental conditions such as temperature and irradiations. Numerous control algorithms have been proposed in recent years like PSO, Firefly and Differential evaluation. The performance of PSO and DE algorithms in terms of tracking speed, initial oscillations and tracking efficiency is validated through simulation studies and hardware implementation.

Maximum Power Point (MPP), Photo Voltaic (PV), Particle Swarm Optimization (PSO), Partial Shaded Conditions (PSC) and Differential Evolution (DE).

"MPPT OF PV SYSTEMS UNDER PARTIAL SHADED CONDITIONS BY USING DIFFERENTIAL EVOLUTION AND PSO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.669-679, June-2018, Available :http://www.jetir.org/papers/JETIR1806785.pdf

"MPPT OF PV SYSTEMS UNDER PARTIAL SHADED CONDITIONS BY USING DIFFERENTIAL EVOLUTION AND PSO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp669-679, June-2018, Available at : http://www.jetir.org/papers/JETIR1806785.pdf