Abstract :
Particle Swarm Optimization (PSO) is a highly efficient evolutionary optimization algorithm. In this paper a multiobjective optimization
algorithm based on PSO applied to the optimal design of photovoltaic grid-connected systems (PVGCSs) is presented. The proposed
methodology intends to suggest the optimal number of system devices and the optimal PV module installation details, such that
the economic and environmental benefits achieved during the system’s operational lifetime period are both maximized. The objective
function describing the economic benefit of the proposed optimization process is the lifetime system’s total net profit which is calculated
according to the method of the Net Present Value (NPV). The second objective function, which corresponds to the environmental benefit,
equals to the pollutant gas emissions avoided due to the use of the PVGCS. The optimization’s decision variables are the optimal
number of the PV modules, the PV modules optimal tilt angle, the optimal placement of the PV modules within the available installation
area and the optimal distribution of the PV modules among the DC/AC converters.
2010 Elsevier Ltd. All rights reserved
