Utilization of renewable energy sources is gradually increasing due to soft corner and awareness in public worldwide. Renewable energy sources which are used to produce electricity are becoming popular nowadays since the application of electricity in everywhere. However, in general the generated electrical power from renewable energy sources is depends on nature. Hence, using a single renewable energy source cannot be maintaining reliable power at load. Therefore, integration of two or more different renewable energy sources with an energy storage device is a better idea for supplying quality and reliable power to the load in a standalone system. However, mainly operated loads connected in the distribution system are both single and three phase AC. A three phase inverter is required to provide AC supply from DC to loads at load bus. Usually a multilevel inverter with a proper controller can provide quality power as well as inject fewer harmonic into the load as compared with conventional inverter. A novel control of the 13-level inverter with the help of an artificial neural network is proposed in this paper to supply quality power to the load under various conditions. A multilayer neural structure is considered in this paper to achieve the better response. The hybrid standalone system is simulated on MATLAB platform to obtain required responses for presenting the results in this paper.

Hybrid System; Standalone; Power Quality; Multilevel Inverter, ANN.