Optimization of Energy Balances of a Photovoltaic Power Plant with Electrochemical and Thermal Storage of Solar Energy

Abstract

In this paper, the optimization of a solar photovoltaic thermal (PV/T) water collector which is based on energy concept is carried out. Considering energy balance for four different season components of PV/T collector, we can obtain analytical expressions for thermal parameters (i.e. solar cells temperature, outlet water temperature, useful absorbed heat rate, average water temperature, mass, etc.). The simulation results are in good agreement with global solar irradiance data ,greywolf  has been used to optimize the energy balance  of PV/T water collector. Massive PV introduction induces difficult power supply-demand balance adjustment. As one of solutions, a PV system and a Solar Hot-Water Supply System which is a hybrid system of a Solar Thermal Water Heater and a Heat Pump Water Heater are combined. In optimization of these configuration, it is necessary to consider the optimization of multiple objectives such as cost and energy efficiency. However, it is difficult to satisfy these objectives simultaneously since these are trade-offs. In this paper, we conducted to find optimal solutions by greywolf Optimization which is a kind of an evolutionary computing. To facilitate the solution search within the constraints conditions, optimal solutions according to each objective, and conducted a search twice for solutions by greywolf Optimization with fixed configuration to find better solutions with respect to operation. As a result, the evaluation values of all objective functions are improved.