A novel method for performance estimation of photovoltaic module without setting reference condition. (January 2022)

• Record Type: Journal Article
• Authors: Zhang, Yunpeng; Hao, Peng; Lu, Hao; Gu, Tingkun; Yang, Ming
• Is Part Of: International journal of electrical power & energy systems. Volume 134(2022)
• Publication Date: 2022-01
• Subjects: Photovoltaics -- Performance estimation -- Parameter identification; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2021.107439
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A new novel method is proposed for performance estimation of PV modules under varying operating conditions. Effect of reference condition on performance estimation is eliminated and accuracy is improved. The model parameters are calculated without setting a reference condition or using reference values. The effectiveness and accuracy of output power estimation is validated by massive experimental data. Abstract: In traditional methods, the process of performance estimation of a photovoltaic (PV) module is achieved through two steps. First, the model parameters are determined under some reference condition, and then, the model parameters are determined under varying operating conditions based on the reference values and the dependence of the model parameters on environmental conditions. This paper presents a novel method for the performance estimation of PV modules under varying operating conditions without setting a reference condition. In the proposed method, the dependence of the model parameters on environmental conditions is modeled and modified without setting a reference condition or using reference values. The model parameters are determined from experimental data using guaranteed convergence particle swarm optimization technology, and are suitable for all operating conditions. Thus, the performance of PV modules can be directly determined under varying operating conditions, which simplifies the process and improves the accuracy. The effectiveness and accuracy of the proposed method are validated by large amounts of experimental data for different types of PV modules at different locations. In comparison with the traditional methods, the proposed method exhibits better accuracy in terms of the I-V and P-V curve and maximum power point estimation under different irradiance and temperature conditions. It can be further used to estimate the output power of PV system under varying operating conditions.