Optimization of photovoltaic energy production using embedded systems and techno-economic analysis of participating in demand response programs through IoT and IoE technologies

The rapid development of residential and commercial grid connected photovoltaic power projects led the research to energy optimization under mismatched operating conditions. The energy losses from partial shading photovoltaic panels can cause significant reduction in the produced energy of a PY system based on the classic topology of string inverter. The solution to this kind of problems can be given by incorporating embedded systems in the photovoltaic plants.This paper presents the simulation results from the comparison of the main topologies which used for power optimization of a shading PY system, the DC/DC power optimizers, cell string optimizers and microinverters, and stress their effectiveness against the conventional string inverter scheme. The financial benefits of the participation of a grid-connected PY system to a demand response program by using loT and loE technologies are analyzed in techno economic basis.