A Study on the Evaluation Algorithm for Performance Improvement in PV Modules

Abstract

-The location of PV systems in distribution system has been increased as one of countermeasure for global environmental issues. As the operation efficiency of PV systems is getting decreased year by year due to the aging phenomenon and maintenance problems, the optimal algorithm for state diagnosis in PV systems is required in order to improve operation performance in PV systems. The existing output prediction algorithms considering various parameters and conditions of PV modules could have complicated calculation process and then their results may have a possibility of significant prediction error. To solve these problems, this paper proposes an optimal prediction algorithm of PV system by using least square methods of linear regression analysis. And also, this paper presents a performance evaluation algorithm in PV modules based on the proposed optimal prediction algorithm of PV system. The simulation results show that the proposed algorithm is a practical tool of the state diagnosis for performance improvement in PV systems.

Research on Multi-scale Photovoltaic Output Prediction Method Based on GAN-Informer

“…The goal of the generating model is then to make P(G) as similar as possible to P(data). The input value y to the discriminator D is derived either from the generated data P(G) or the true sample P(data), and the output D(y) represents the probability value of the true sample [11,12]. The objective functions by which D and G are trained are shown in the following formula:…”