System Parameter Based Performance Optimization of Solar PV Systems with Perturbation Based MPPT Algorithms
Sachin Angadi,
Udaykumar R. Yaragatti,
Yellasiri Suresh and
A. B. Raju
Additional contact information
Sachin Angadi: Department of Electrical and Electronics Engineering, K.L.E Technological University, Hubli 580031, India
Udaykumar R. Yaragatti: Department of Electrical and Electronics Engineering, National Institute of Technology—Karnataka, Surathkal 575025, India
Yellasiri Suresh: Department of Electrical and Electronics Engineering, National Institute of Technology—Karnataka, Surathkal 575025, India
A. B. Raju: Department of Electrical and Electronics Engineering, K.L.E Technological University, Hubli 580031, India
Energies, 2021, vol. 14, issue 7, 1-20
Abstract:
Maximum power point tracking (MPPT) algorithms are invariably employed to utilize solar photovoltaic (PV) systems effectively. Perturbation based MPPT algorithms are popular due to their simplicity and reasonable efficiency. While novel MPPT algorithms claim increased energy utilization over classic perturbation techniques, their performance is governed by the choice of optimal algorithm parameters. Existing guidelines for parameter optimization are mathematically laborious and are not generic. Hence, this paper aims to provide simple and comprehensive guidelines to ensure optimal performance from the perturbation based MPPT technique. For an illustration of proposed claims, a solar PV fed boost converter is investigated to examine the effect of input capacitor, digital filter cut-off frequency, system time constant and sampling time on implementing a classic Perturb and Observe (P and O) algorithm. The readers will be presented with two simple step tests (to determine the effective system time constant) and proposed guidelines to choose the optimal performance sampling time. Necessary laboratory experiments show that an appropriate choice of sampling time could increase efficiency and ensure system stability. This investigation’s learnings can be easily extended to any power electronics converter, loads and all perturbation-based algorithms used in solar PV systems. The results of appropriate tests on the system’s mathematical model and the laboratory prototype are presented in detail to support this research’s claims.
Keywords: boost converter; maximum power point tracking (MPPT); perturb and observe algorithm; renewable energy; solar photovoltaic system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
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