Performance Analysis of MPPT Techniques for Dynamic Irradiation Condition of Solar PV
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Performance Analysis of MPPT Techniques for Dynamic Irradiation Condition of Solar PV C H Hussaian Basha1
•
C. Rani1
Received: 2 April 2020 / Revised: 25 August 2020 / Accepted: 26 September 2020 Ó Taiwan Fuzzy Systems Association 2020
Abstract Solar Photovoltaic (PV) systems are playing a major role in the present electrical energy systems. The solar PV gives nonlinear I–V and P–V characteristics. As a result, it is difficult to extract the maximum power of the solar PV. Under Partial Shading Conditions (PSCs), the solar PV characteristics consist of multiple local Maximum Power Points (MPPs) and one global MPP. The classical Maximum Power Point Tracking (MPPT) techniques cannot track the global MPP under PSCs. Accordingly, this work aims to study the performance of five soft computing MPPT techniques. The studied five soft computing MPPT techniques are Modified Variable Step Size-Radial Basis Functional Network (MVSS-RBFN), Modified Hill-Climb with Fuzzy Logic Controller (MHC-FLC), Artificial Neuro-Fuzzy Inference System (ANFIS), Perturb and Observe with Practical Swarm Optimization (P&O-PSO), and Adaptive Cuckoo Search (ACS). The comparative performance analysis of five soft computing techniques has been carried out against the Variable Step Size-Incremental Resistance (VSS-INR), and Variable Step Size-Feedback Controller (VSS-FC)-based MPPT techniques. The performance analysis of seven MPPT techniques has been done by considering the parameters are steady-state settling time, MPP tracking speed, algorithm complexity, PV array dependency, handling of partial shading, and efficiency.
Keywords Boost converter Conventional MPPT techniques PV cell modeling Partial shading condition (PSC) And soft computing MPPT techniques Abbreviations PMPP Maximum Peak Power of solar PV, 249.3 W VMPP A peak-Peak voltage of PV, 30 V IMPP Peak-Peak current of PV, 8.31 A Npp Strings connected in parallel, 1 Nss Each string series-connected modules, 3 Ns Each module cells, 60 rs Series resistance of PV cell, 0.2914 X rp Parallel resistance, 314.76 X Voc Open-circuit voltage of PV, 36.8 V Isc-n Short-circuit current of PV, 8.83 A I0-n Saturation current of the diode, 1.013*exp10-10A Tn Standard temperature, 25 °C Gn Nominal irradiation, 1000 W/m2 Kv Temperature coefficient of voltage, - 0.33%/°C Ki Temperature coefficient of current, 0.063%/°C a1, a2 Diode ideality factors, 0.984, 1 T Operating Temperature of PV module, 45 °C
1 Introduction & C. Rani [email protected] C H Hussaian Basha [email protected] 1
School of Electrical Engineering, VIT University, Vellore 632014, India
For the reduction of consumption of fossil fuel and meeting the world energy demand, renewable energy sources are used to generate electricity. The global renewable power generation capacity in 2008 is 1108 Gigawatts; now in 2019, it has been increased to 2303 Gigawatts. This indicates that renewable energy sources are playing a major role to meet the future electricity demand [1–3]. From the
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