Design of Solar System by Implementing ALO Optimized PID Based MPPT Controller

Raj Kumar SAHU, Binod Shaw


This paper is a strive approach to design offgrid solar system in association with DC-DC boost converter and MPPT. The tuned PID based MPPT technique is adopted to extract maximum power from the solar system under certain circumstances (temperature and irradiance). The design parameters of PID controller play an imperative aspect to enhance the performance of the system. Ant lion Optimizer (ALO) algorithm is adopted to optimize PID parameters to contribute relevant duty cycle for DC-DC boost converter to maximize output power and voltage. P and O based MPPT technique is implemented to validate the supremacy of PID based MPPT to enhance the response of the system. In this paper, the proposed ALO optimized PID controller based MPPT technique is performed better over conventional P & O technique by conceding the oscillation, time response, settling time and maximum values of voltage, current and power of the solar system.

Citation: SAHU, R. K., and Shaw, B. (2018). Design of Solar System by Implementing ALO Optimized PID Based MPPT Controller. Trends in Renewable Energy, 4, 44-55. DOI: 10.17737/tre.2018.4.3.0049


Photovoltaic system (PV); Maximum Power Point Tracking (MPPT); Perturb and Observe (P & O); Proportional-Integral-Derivative (PID) controller; Ant lion Optimizer (ALO) algorithm

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T. Esram and P. L. Chapman, “Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques,” IEEE Trans. Energy Convers., vol. 22, no. 2, pp. 439–449, 2007.

A. Al-Diab and C. Sourkounis, “Variable step size P&O MPPT algorithm for PV systems,” Proc. Int. Conf. Optim. Electr. Electron. Equipment, OPTIM, pp. 1097–1102, 2010. DOI: 10.1109/OPTIM.2010.5510441

K. Ishaque and Z. Salam, “A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition,” Renew. Sustain. Energy Rev., vol. 19, pp. 475–488, 2013.

J. Ahmed and Z. Salam, “A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability,” Appl. Energy, vol. 119, pp. 118–130, 2014.

M. Z. Ramli and Z. Salam, “A simple energy recovery scheme to harvest the energy from shaded photovoltaic modules during partial shading,” IEEE Trans. Power Electron., vol. 29, no. 12, pp. 6458–6471, 2014.

Y. R. Yang, “A Fuzzy Logic Controller for Maximum Power Point Tracking with 8-Bit Microcontroller,” In: Proc., IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society, pp: 2895-2900, 2010. DOI: 10.1109/iecon.2010.5675084.

Y.H. Liu, C.L. Liu, J.W. Huang, and J.H. Chen, “Neural-network-based maximum power point tracking methods for photovoltaic systems operating under fast changing environments,” Sol. Energy, vol. 89, pp. 42–53, 2013.

N. A. Kamarzaman and C. W. Tan, “A comprehensive review of maximum power point tracking algorithms for photovoltaic systems,” Renew. Sustain. Energy Rev., vol. 37, pp. 585–598, 2014.

A. Reza, M. Hassan, and S. Jamasb, “Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review,” Renew. Sustain. Energy Rev., vol. 19, pp. 433–443, 2013.

N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, “Optimization of Perturb and Observe Maximum Power Point Tracking Method,” IEEE Transactions on Power Electronics, vol. 20, no. 4, pp. 963–973, 2005.

S. Hoffmann and M. Koehl, “Investigation on the Impact of Macro- and Micro-Climate on the Potential Induced Degradation,” In: Proc., 2013 IEEE 39th Photovoltaic Specialists Conference (PVSC), pp: 1822-1825, 2013. DOI: 10.1109/pvsc.2013.6744496

J. R. Nayak, B. Shaw, and B. K. Sahu, “Application of adaptive-SOS (ASOS) algorithm based interval type-2 fuzzy-PID controller with derivative filter for automatic generation control of an interconnected power system”, Int. J. Engineering Science and Technology, 2018. DOI: 10.1016/j.jestch.2018.03.010.

J.R. Nayak, B. Shaw, S. Das, and B.K. Sahu, Design of MI fuzzy PID controller optimized by Modified Group Hunting Search algorithm for interconnected power system, Microsyst. Technol., 2018. DOI: 10.1007/s00542-018-3788-3.

H. Shareef, A. H. Mutlag, and A. Mohamed, “A novel approach for fuzzy logic PV inverter controller optimization using lightning search algorithm,” Neuro computing, vol. 168, pp. 435–453, 2015.

P.C. Cheng, B.R. Peng, Y.-H. Liu, Y.S. Cheng, and J.W. Huang, “Optimization of a Fuzzy-Logic-Control-Based MPPT Algorithm Using the Particle Swarm Optimization Technique,” Energies, vol. 8, no. 6, pp. 5338–5360, 2015.

A. S. Oshaba, E. S. Ali, and S. M. AbdElazim, “PI controller design for MPPT of photovoltaic system supplying SRM via BAT search algorithm,” Neural Comput. Appl., vol. 28, no. 4, pp. 651–667, 2017.

R. Nagarajan, R. Yuvaraj, V. Hemalatha, S. Logapriya, A. Mekala, and S. Priyanga, “Implementation of PV - Based Boost Converter Using PI Controller with PSO Algorithm,” Int. J. Eng. Comput. Sci., vol. 6, no. 3, pp. 20479-20484, 2017. DOI: 10.18535/ijecs/v6i3.14

L. ZAGHBA, N. TERKI, A. BORNI, A. BOUCHAKOUR “Robust maximum power point tracking technique and PI current controller design for grid connected PV system using MATLAB/SIMULINK,” Journal of Electrical Engineering, vol. 15, pp. 315-320, 2015.

A. Neçaibia, S. Ladaci, A. Charef, and J. J. Loiseau, “Fractional order extremum seeking approach for maximum power point tracking of photovoltaic panels,” Front. Energy, vol. 9, no. 1, pp. 43–53, 2015.

E. S. Ali, S. M. AbdElazim, and A. Y. Abdelaziz, “Ant Lion Optimization Algorithm for renewable Distributed Generations,” Energy, vol. 116, pp. 445–458, 2016.

S. Mirjalili, “The Ant Lion Optimizer,” Adv. Eng. Softw., vol. 83, pp. 80–98, 2015.



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