Design and Simulation of a Hybrid Hydrogen Fuel Cell and Solar Pv System for Remote Locations, With Tilt Angle Optimization of Solar Pv Cells Using Genetic Algorithms

This is the authors' abstract. We don't add key points for this paper.

Electrical grid expansion on to remote areas and cost effective and /or technologically feasible. thus isolated electrical power are preferred in such areas this paper focuses on a hybrid photo voltaic(PV) and hydrogen fuel cell (HFC) system which basic component include a PV and FC PEM, to increase the response rate. The PV is used as the main source. The FC is connected to the load in parallel with the PV by a transducer in other to inject the differential power while reducing power generation in relation to power consumption. An electrolyser is used to convert the surplus power to hydrogen the. This research work was carried out using the MATLAB’s simscape power systems to design the PV plant, the inverter circuit and the interconnected load of the above mentioned local government areas. A Hewlett Packard, dual core, 2.14 GHz processor speed computer. This paper presents a new optimization approach to maximized the electrical output of a PV panel technic which is based on objective function represent the output power of the PV panel. The genetic algorithm GA is use to obtained the best initial population at optimal level.