Grid-connected photovoltaic module and array sizing based on an iterative approach

Abstract

This paper deals with the sizing of a simple but efficient grid-connected photovoltaic (GCPV) system to minimize the difference between the electrical energy generated by the GCPV system and the required energy. It provides a technical sizing procedure based on an iterative approach for meeting specific amount of GWh output required by a future PV system considered for Kuwait. The iterative sizing algorithm has been implemented to determine the configuration of the PV array, actual rated output power with its relative energy, area of the array and efficiency of the system using an existing PV module and inverter database. Consequently the size of the array has been estimated based on a particular PV module and inverter combination. Optimum inverter-to-PV array sizing factor for a gridconnected PV system was determined in terms of the total system output.

Using TMY3 data to stochastically predict the performance of a PV/VRB microgrid

“…Several models have been developed to model these systems. Alenezi et al [7] developed an iterative approach to sizing a grid-connected PV system and found that technical outputs such as the number of PV modules, PV panel configuration, and inverter sizing are most important of the algorithm for integration to the grid. Huang et al [8] found that the performance of a PV system is mainly influenced by weather, solar irradiance, and module temperature and were able to develop an evolutionary programming algorithm to predict the performance of a grid-connected PV system based on those influences.…”