Optimization of performances and reliability for building-integrated photovoltaic (BIPV) Systems

Abstract

Intelligent methods for the maximum power point tracking (MPPT) provide an improved approach in varying weather conditions and rapidly changing uncertainties. One of the main intelligent methods for the MPPT study is based on Fuzzy Algorithm. Fuzzy Logic Controller (FLC) is obtained by implementation of a Fuzzy Algorithm in a specialized software (MATLAB/Simulink) and could detect the sudden changes and heuristic variables for power control system applications (like BIPV systems). In order for the best Fuzzy Algorithm used for FLC analyses to be selected, the Perturb and Observe (P&O) algorithm is implemented. Based on this approach, an optimized performance of BIPV systems useful for practical applications could be suggested. The BIPV reliability analyses were developed based on the Reliability, Availability, Maintenance, and Safety (RAMS) model applied to a BIPV system using a specialized software. The study allowed to obtain information regarding the stability operation and degradation of all components and system itself. The BIPV performability indicators (Availability, Unreliability, Average Interruption Frequency Index, Average Interruption Duration Index, and Customer Interruption Duration Index) were determined.