Abstract
The major problem of the solar photovoltaic system (PVS) in partial shading conditions (PSC), its poor performance. The power (P)–voltage (V) graph of PV has a single maximum power point (MPP) in case of uniform solar condition. Outmoded trackers like perturb and observe (P&O) can track such single MPP. Nevertheless, the case is completely different during PSC as there are number of peaks in the P–V curve (i.e., many local peaks (LPs) and a single global peak (GP)). Most maximum power point tracking (MPPT) technique cannot distinguish between LPs and GP; hence, they are easily stucked at LPs. It is therefore important to monitor GP using smart intelligent MPPTs based on new optimization techniques. In past literature, most MPPT techniques include voltage and current sensors as well as sometimes they required additional sensors (irradiance and temperature) as a result raise the system costs. An attempt is made to implement a single sensor-based GP tracking technique for a uniform and partially shaded PVS. A modified sine cosine algorithm is employed here to track the GP. To evaluate the performance of the proposed tracking technique, the system is simulated in MATLAB/Simulink with considered patterns. The results obtained indicate the efficiency of a single sensor-based monitoring technique precisely capturing the GP. In the view of this study, the proposed tracking technique is effectively reduced the number of sensors required, cost, and complexity; as a result, the power density of the MPPT technique under uniform and PSC for PVS is increased.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rezk, H., Nassef, A.M., Inayat, A., Sayed, E.T., Shahbaz, M., Olabi, A.G.: Improving the environmental impact of palm kernel shell through maximizing its production of hydrogen and syngas using advanced artificial intelligence. Sci. Total Environ. 658, 1150–1160 (2019)
Shinde, U., Kadwane, S., Gawande, S.: Rapid MPPT of grid tied photovoltaic system with quadratic converter using sliding mode like controller. Int. J. Renew. Energy Res. (IJRER) 7(4), 2032–2040 (2017)
Fathy, A., Rezk, H., Nassef, A.M.: Robust hydrogen-consumption-minimization strategy based salp swarm algorithm for energy management of fuel cell/supercapacitor/batteries in highly fluctuated load condition. Renew. Energy 139, 147–160 (2019)
Chatterjee, S., Kumar, P., Chatterjee, S.: A techno-commercial review on grid connected photovoltaic system. Renew. Sustain. Energy Rev. 81, 2371–2397 (2018)
Belhaouas, N., Cheikh, M.S.A., Agathoklis, P., Oularbi, M.R., Amrouche, B., Sedraoui, K., Djilali, N.: PV array power output maximization under partial shading using new shifted PV array arrangements. Appl. Energy 187, 326–337 (2017)
Rezk, H., Eltamaly, A.M.: A comprehensive comparison of different MPPT techniques for photovoltaic systems. Sol. Energy 112, 1–11 (2015)
Radjai, T., Gaubert, J.P., Rahmani, L., Mekhilef, S.: Experimental verification of P&O MPPT algorithm with direct control based on Fuzzy logic control using CUK converter. Int. Trans. Electr. Energy Syst. 25(12), 3492–3508 (2015)
Behera, T.K., Behera, M.K., Nayak, N.: Spider monkey based improve P&O MPPT controller for photovoltaic generation system. In: 2018 Technologies for Smart-City Energy Security and Power (ICSESP), pp. 1–6. IEEE (2018)
Diab, A.A.Z., Rezk, H.: Global MPPT based on flower pollination and differential evolution algorithms to mitigate partial shading in building integrated PV system. Sol. Energy 157, 171–186 (2017)
Rezk, H., Fathy, A.: Simulation of global MPPT based on teaching–learning-based optimization technique for partially shaded PV system. Electr. Eng. 99(3), 847–859 (2017)
Rezk, H., Fathy, A., Abdelaziz, A.Y.: A comparison of different global MPPT techniques based on meta-heuristic algorithms for photovoltaic system subjected to partial shading conditions. Renew. Sustain. Energy Rev. 74, 377–386 (2017)
Fathy, A., Rezk, H.: A novel methodology for simulating maximum power point trackers using mine blast optimization and teaching learning based optimization algorithms for partially shaded photovoltaic system. J. Renew. Sustain. Energy 8(2), 023503 (2016)
Mohamed, M.A., Diab, A.A.Z., Rezk, H.: Partial shading mitigation of PV systems via different meta-heuristic techniques. Renew. Energy 130, 1159–1175 (2019)
Avila, E., Pozo, N., Pozo, M., Salazar, G., Domínguez, X.: Improved particle swarm optimization based MPPT for PV systems under partial shading conditions. In: 2017 IEEE Southern Power Electronics Conference (SPEC), pp. 1–6. IEEE (2017)
Tey, K.S., Mekhilef, S., Seyedmahmoudian, M., Horan, B., Oo, A.T., Stojcevski, A.: Improved differential evolution-based MPPT algorithm using SEPIC for PV systems under partial shading conditions and load variation. IEEE Trans. Industr. Inf. 14(10), 4322–4333 (2018)
Kumar, N., Hussain, I., Singh, B., Panigrahi, B.K.: Rapid MPPT for uniformly and partial shaded PV system by using JayaDE algorithm in highly fluctuating atmospheric conditions. IEEE Trans. Industr. Inf. 13(5), 2406–2416 (2017)
Mohanty, S., Subudhi, B., Ray, P.K.: A new MPPT design using grey wolf optimization technique for photovoltaic system under partial shading conditions. IEEE Trans. Sustain. Energy 7(1), 181–188 (2015)
Kumar, N., Hussain, I., Singh, B., Panigrahi, B.K.: Single sensor-based MPPT of partially shaded PV system for battery charging by using Cauchy and Gaussian sine cosine optimization. IEEE Trans. Energy Convers. 32(3), 983–992 (2017)
Nabil, M., Allam, S.M., Rashad, E.M.: Modeling and design considerations of a photovoltaic energy source feeding a synchronous reluctance motor suitable for pumping systems. Ain Shams Eng. J. 3(4), 375–382 (2012)
Rezk, H., Hasaneen, E.S.: A new MATLAB/Simulink model of triple-junction solar cell and MPPT based on artificial neural networks for photovoltaic energy systems. Ain Shams Eng. J. 6(3), 873–881 (2015)
Behera, M.K., Nayak, N.: A comparative study on short-term PV power forecasting using decomposition based optimized extreme learning machine algorithm. Eng. Sci. Technol. Int. J. 23(1), 156–167 (2020)
Abd Elaziz, M., Oliva, D., Xiong, S.: An improved opposition-based sine cosine algorithm for global optimization. Expert Syst. Appl. 90, 484–500 (2017)
Qu, C., Zeng, Z., Dai, J., Yi, Z., He, W.: A modified sine-cosine algorithm based on neighborhood search and greedy levy mutation. Comput. Intell. Neurosci. (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Behera, M.K., Saikia, L.C., Ramoji, S.K., Dekaraja, B., Bhagat, S.K., Babu, N.R. (2021). A Novel Effective Single Sensor MPPT Technique for a Uniform and Partially Shaded Solar PV System via MSCA Approach. In: Das, B., Patgiri, R., Bandyopadhyay, S., Balas, V.E. (eds) Modeling, Simulation and Optimization. Smart Innovation, Systems and Technologies, vol 206. Springer, Singapore. https://doi.org/10.1007/978-981-15-9829-6_19
Download citation
DOI: https://doi.org/10.1007/978-981-15-9829-6_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-9828-9
Online ISBN: 978-981-15-9829-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)