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Design and Analysis of LSANN-IPOMPPT with Zeta Converter in PV Systems for Fluctuating Atmospheric Circumstances

  • Research Article-Electrical Engineering
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Abstract

Individual users are increasingly employing photovoltaic (PV) arrays on a commercial and small scale, and they are all attempting to obtain the maximum available power from the panels. The P-V characteristic of the PV module changes after every small-time duration because of the highly fluctuating atmospheric conditions. However, in such cases, it is indispensable to track the Maximum Power Point (MPP), and this becomes a strong nonlinear issue with a time-bounded solution. Therefore, this paper proposes a Logarithmic Seagull Artificial Neural Network-based Improved Perturb and Observe Maximum Power Point Tracking (LSANN-IPOMPPT) algorithm to acquire maximum power from the PV system. The temperature and irradiance are the input variables and the optimal current and voltages to trace the MPP are computed by using the LSANN method. Then, the IPOMPPT algorithm is built for the DC–DC converter, which functions as an interface connecting solar modules and the load for transferring maximum power. The DC–DC converter is tuned by an LSANN-IPOMPPT controller to exploit the solar array at a maximal power point. The tracking ability of the proposed LSANN-IPOMPPT is evaluated with current state-of-the-art approaches for differing irradiance and temperature levels. The simulation outcomes depicted that the implementation of LSANN-based IPOMPPT algorithm with a zeta converter exhibited a more efficient output power range than the existing methods.

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Abbreviations

\(J_{{PV\left( {cur} \right)}} ,J_{{PV\left( {nom} \right)}}\) :

Current by incident light, photovoltaic current in nominal conditions

\(r_{SR} ,r_{PR}\) :

Series, shunt resistance

\(l,k_{BC}\) :

Ideality factor, Boltzmann constant

\(T_{tmp} ,T_{{v\left( {tmp} \right)}}\) :

Module temperature, cell reference temperature

\(Q_{E} ,w\) :

Semiconductor bandgap energy, charge of an electron

\(F_{irr} ,F_{{irr\left( {nom} \right)}}\) :

Solar irradiance, nominal value of irradiance

\(J_{shc} ,P_{opc}\) :

Short circuit current, open-circuit voltage

\(J_{shc\left( \kappa \right)} ,J_{rev}\) :

Short circuit current per temperature factor \(\kappa\), reverse saturation current

\(PW_{max}\) :

Maximum power

\(J_{{L_{ind\left( 1 \right)} }} ,J_{{L_{ind\left( 2 \right)} }}\) :

Ripple current of inductors in Zeta converter

\(P_{Vt}^{i/p} , P_{Vt}^{o/p}\) :

Input, output voltage of Zeta converter

\(L_{ind\left( 1 \right)} , L_{ind\left( 2 \right)}\) :

Inductors of Zeta converter

\(C_{cap}^{i/p} , C_{cap}^{o/p}\) :

Input, output capacitor of Zeta converter

\(J_{cur}^{o/p} ,P c_{cap}^{o/p}\) :

Output current, output ripple voltage of Zeta converter

\(St_{f} , \varphi_{D}\) :

Switching frequency, duty cycle of Zeta converter

\(\Delta_{tmp,irr}\) :

Temperature, irradiance of PV panel

\(\Omega_{wt\left( n \right)} , \wp_{bias} , \hbar_{AF}\) :

Assigned weight, bias values, activation function of neural network

\(J_{max} , P_{max}\) :

Maximum current, maximum voltage

\(err,Tar,Obs\) :

Error, target, and observed values in neural network

\({\text{Popsize}},max_{k}\) :

Seagull population size, maximum iteration

\(G_{nw\left( \Psi \right)} , \chi_{cur\left( \Psi \right)}\) :

New, current location of the search agent

\(\varpi_{\Psi } ,\,{\text{e}}\) :

Control frequency, motion behaviour of the search

\(\chi_{best\left( \Psi \right)} , \chi_{\Psi } \left( k \right)\) :

Best-fit search agent, best solution

\(r_{\Psi ,best\left( \Psi \right)}\) :

Range between best-fit search agent and other search agents

\(a,b,c\) :

Motion behaviour of seagull

\(d, q \,{\text{and}}\,f\) :

Radius of each turn of spiral, correlation constants

\(I_{ita}\) :

Inertia factor

\(opt\Psi_{hid\left( n \right),neu\left( n \right)}\) :

Optimal number of neurons and hidden layers

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  1. Department of EEE, Velammal College of Engineering and Technology, Madurai, Tamilnadu, India

    R. Divyasharon & R. Narmatha Banu

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  1. R. Divyasharon
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Divyasharon, R., Narmatha Banu, R. Design and Analysis of LSANN-IPOMPPT with Zeta Converter in PV Systems for Fluctuating Atmospheric Circumstances. Arab J Sci Eng 48, 6053–6065 (2023). https://doi.org/10.1007/s13369-022-07196-4

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