Modeling Photovoltaic Facilities via Fuzzy Sets and Linguistic Petri Nets

This paper introduces a formal procedure based on linguistic Petri nets and fuzzy sets in order to model photovoltaic facilities and provide different alerts with respect to a correct performance. Furthermore, this procedure has been illustrated in a real case. Specifically, it is tested on six solar photovoltaic facilities (stations) owned by the company Grupo Energético de Puerto Real (GEN). The energy generated by each station has been compared through Dynamic Time Warping (DTW) and analyzed by a designed Petri net, which considers fuzzy sets and Natural Language for a better interpretation and understanding for the (nonexpert) user. The results show that the proposed procedure offers excellent results, bigger profits for the company and that it can be scalable and exportable to other facilities.