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Fuzzy logic controller based maximum power point tracking technique for different configurations of partially shaded photovoltaic system

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A solar photovoltaic (PV) system has been emerging out as one of the greatest potential renewable energy sources and is contributing significantly in the energy sector. The PV system depends upon the solar irradiation and any changes in the incoming solar irradiation will affect badly on the output of the PV system. The solar irradiation is location specific and also the atmospheric conditions in the surroundings of the PV system contribute significantly to its performance. This paper presents the cumulative assessment of the four MPPT techniques during the partial shading conditions (PSCs) for different configurations of the PV array. The partial shading configurations like series-parallel, bridge link, total cross tied and honeycomb structure for an 84 PV array has been simulated to compare the maximum power point tracking (MPPT) techniques. The MPPT techniques like perturb and observe, incremental conductance, extremum seeking control and a fuzzy logic controller were implemented for different shading patterns. The results related to the maximum power tracked, tracking efficiency of each of the MPPT techniques were presented in order to assess the best MPPT technique and the best configuration of the PV array for yielding the maximum power during the PSCs.
Rocznik
Strony
307--320
Opis fizyczny
Bibliogr. 26 poz., rys., tab., wz.
Twórcy
autor
  • Departement of Electrical Engineering Indian Institute of Technology (Indian School of Mines) Dhanbad, Jharkhand, India – 826004
  • Departement of Electrical Engineering Indian Institute of Technology (Indian School of Mines) Dhanbad, Jharkhand, India – 826004
  • Department of Mining Machinery Engineering Indian Institute Of Technology (Indian School of Mines) Dhanbad, Jharkhand, India – 826004
Bibliografia
  • [1] Hariharan R., Chakkarapani M., Ilango G.S., Nagamani C., A Method to Detect Photovoltaic Array Faults and Partial Shading in PV Systems, IEEE Journal of Photovoltaics, vol. 6, no. 5, pp. 1278–1285 (2016).
  • [2] Luo H.,Wen H., Li X., Jiang L., Hu Y., Synchronous buck converter based low-cost and high-efficiencysub-module DMPPT PV system under partial shading conditions, Energy Conversion and Management, vol. 126, pp. 473–487 (2016).
  • [3] Lian K.L., Jhang J.H., Tian I.S., A Maximum Power Point Tracking Method Based on Perturb-and-Observe Combined With Particle Swarm Optimization, IEEE Journal of Photovoltaics, vol. 4, no. 2, pp. 626–633 (2014).
  • [4] Ghasemi M.A., Forushani H.M., Parniani M., Partial Shading Detection and Smooth Maximum Power Point Tracking of PV Arrays Under PSC, IEEE Transactions on Power Electronics, vol. 31, no. 9, pp. 6281–6292 (2016).
  • [5] Gupta A., Chauhan Y.K., Pachauri R.K., A comparative investigation of maximum power point tracking methods for solar PV system, Solar Energy, vol. 136, pp. 236–253 (2016).
  • [6] Ishaque K., Salam Z., Lauss G., The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions, Applied Energy, vol. 119, pp. 228–236 (2014).
  • [7] Mekki H., Mellit A., Salhi H., Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules, Simulation Modelling Practice and Theory, vol. 67, pp. 1–13 (2016).
  • [8] Elobaid L.M., Abdelsalam A.K., Zakzouk E.E., Artificial neural network-based photovoltaic maximum power point tracking techniques: a survey, IET Renewable Power Generation, vol. 9, no. 8, pp. 1043–1063 (2015).
  • [9] Alajmi B.N., Ahmed K.H., Finney S J., Williams B.W., A Maximum Power Point Tracking Technique for Partially Shaded Photovoltaic Systems in Microgrids, IEEE Transactions on Industrial Electronics, vol. 60, no. 4, pp. 1596–1606 (2013).
  • [10] Sekhar P.C., Mishra S., Takagi–Sugeno fuzzy-based incremental conductance algorithm for maximum power point tracking of a photovoltaic generating system, IET Renewable Power Generation, vol. 8, no. 8, pp. 900–914 (2014).
  • [11] Daraban S., Petreus D., Morel C., A novel global MPPT based on genetic algorithms for photovoltaic systems under the influence of partial shading, Proceedings of the 39th Annual Conference of the IEEE Industrial Electronics Society, pp. 1490–1495, 10-13 November 2013.
  • [12] Ishaque K., Salam Z., A Deterministic Particle Swarm Optimization Maximum Power Point Tracker for Photovoltaic System Under Partial Shading Condition, IEEE Transactions on Industrial Electronics, vol. 60, no. 8, pp. 3195–3206 (2013).
  • [13] Sundareswaran K., Peddapati S., Palani S., MPPT of PV Systems Under Partial Shaded Conditions Through a Colony of Flashing Fireflies, IEEE Transactions on Energy Conversion, vol. 29, no. 2, pp. 463–472 (2014).
  • [14] Sundareswaran K., Sankar P., Nayak P.S.R., Simon S.P., Palani S., Enhanced Energy Output From a PV System Under Partial Shaded Conditions Through Artificial Bee Colony, IEEE Transactions on Sustainable Energy, vol. 6, no. 1, pp. 198–209 (2015). Elect. Eng.
  • [15] Sundareswaran K., Vigneshkumar V., Sankar P., Simon S.P., Nayak P.S.R., Palani S., Development of an Improved P&O Algorithm Assisted Through a Colony of Foraging Ants for MPPT in PV System, IEEE Transactions on Industrial Informatics, vol. 12, no. 1, pp. 187–200 (2016).
  • [16] Ahmed J., Salam Z., A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability, Applied Energy, vol. 119, pp. 118–130 (2014).
  • [17] Mohanty S., Subudhi B., Ray P.K., A New MPPT Design Using Grey Wolf Optimization Technique for Photovoltaic System Under Partial Shading Conditions, IEEE Transactions on Sustainable Energy, vol. 7, no. 1, pp. 181–188 (2016).
  • [18] Leyva R., Alonso C., Queinnec I., Pastor A.C., Lagrange D., Salamero L.M., MPPT of Photovoltaic Systems using Extremum–Seeking Control, IEEE Transactions on Aerospace and Electronic Systems, vol. 42, no. 1, pp. 249–258 (2006).
  • [19] Villalva M.G., Gazoli J.R., Filho E.R., Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays, IEEE Transactions on Power Electronics, vol. 24, no. 5, pp. 1198–1208 (2009).
  • [20] Başoğlu M.E., Çakır B., Comparisons of MPPT performances of isolated and non-isolated DC–DC converters by using a new approach, Renewable and Sustainable Energy Reviews, vol. 60, pp. 1100–1113 (2016).
  • [21] Femia N., Petrone G., Spagnuolo G., Vitelli M., Optimization of Perturb and Observe Maximum Power Point Tracking Method, IEEE Transactions on Power Electronics, vol. 20, no. 4, pp. 963–973 (2005).
  • [22] Sivakumar P., Kader A.A., Kaliavaradhan Y., Arutchelvi M., Analysis and enhancement of PV efficiency with incremental conductance MPPT technique under non-linear loading conditions, Renewable Energy, vol. 81, pp. 543–550 (2015).
  • [23] Malek H., Chen Y.Q., Fractional Order Extremum Seeking Control: Performance and Stability Analysis, IEEE/ASME Transactions on Mechatronics, vol. 21, no. 3, pp. 1620–1628 (2016).
  • [24] Li X., Li Y., Seem J.E., Lei P., Detection of Internal Resistance Change for Photovoltaic Arrays Using Extremum-Seeking Control MPPT Signals, IEEE Transactions on Control Systems Technology, vol. 24, no. 1, pp. 325–333 (2016).
  • [25] Seyedmahmoudian M., Horan B., Soon T.K., Rahmani R., Oo A.M.T., Mekhilef S., Stojcevski A., State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems – A review, Renewable and Sustainable Energy Reviews, vol. 64, pp. 435–455 (2016).
  • [26] Ishaque K., Salam Z., Taheri H., Syafaruddin, Modeling and simulation of photovoltaic (PV) system during partial shading based on a two-diode model, Simulation Modelling Practice and Theory, vol. 19, pp. 1613–1626 (2011).
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e400d696-36d4-40f2-b8c2-04646ee94a6e
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