Maximum Power Extraction For Hybrid Solar Wind Renewable Energy System Based on Swarm Optimization

Ratna Ika Putri, Ferdian Ronilaya, Ika Noer Syamsiana

Abstract


This paper aims to extract maximum power for a hybrid solar-wind renewable energy system using Particle Swarm Optimization (PSO) for standalone applications.  The hybrid renewable energy system (HRES) employed is integration between wind and solar energy.  A permanent magnet synchronous generator (PMSG) is connected to a converter circuit in a wind energy system.  Maximum power extraction based on PSO works to achieve optimal power on HRES by adjusting the duty cycle for the boost converter for each energy source system based on current and voltage measurements.  The inverter connects the DC boost and load, and the DC bus voltage is kept constant by the inverter's duty cycle adjustment using a PI controller.  PSO performance is analyzed through the changes in wind speed and solar irradiation, as maximum power extraction.  According to the simulation result, PSO can track the maximum power against changes in wind speed and solar irradiation.  PSO has a better performance compared to P&O methods, and constant DC bus voltage can be maintained.

Keywords


Wind Turbine; Photovoltaic; HRES; Maximum Power

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References


K. Kumar, N. Ramesh Babu, and K.R Prabhu, “Design and Analysis of RBFN Based Single MPPT Controller for Hybrid Solar and Wind Energy System,” IEEE Access, vol. 5, pp. 15308 – 15317, August 2017.

I.M. Opedare, T.M. Adekoya, and E.L Adedayo,, ” Optimal Sizing of Hybrid Renewable Energy System for Off Grid Electrification : A Case Study of University of Ibadan Abdussalam Abubakar Post Graduate Hall of Residence, “ International Journal of Smart Grid, vol. 4, No.4, pp. 176 -189, December 2020.

A. Saidi, A. Harrous, I. Colak, and K Kayisli, “Performance Enhancement of Hybrid Solar PV-Wind System Based on Fuzzy Power Management Strategy: A Case Study, 7th IEEE International Congerence on Smart Grid, Newcastle, Australia, pp. 126 -131, 9 – 11 December 2019.

M.M.G Lawan, M.B Camara, and B Dakyo, “ Poweer Control For Decentralized Energy Production System based On The Renewable Energies-Using Battery to Compensate The Wind/Load/PV Power Fluctuations,” 6th International Conference on Renewable Energy Research and Applications, San Diego, USA, pp. 1132 - 1138, 5-8 November 2017.

M.J Khan, and L Mathew, “Comparative Study of Maximum Power Point Tracking Techniques for Hybrid Renewable Energy System,” International Journal of Electronics, vol.106, no. 8, pp. 1216-1228, 2019.

R.I Putri, S. Wibowo, and M. Rifa’i, “ Maximum Power Point Tracking For Photovoltaic Using Incremental Conductance Method,” Energy Procedia, Vol.68, pp. 22 -30, 2015.

A.K. Abdelsalam, A.M. Massoud, S. Ahmed, and P.N. Enjeti, “High Performance Adaptive Perturb and Observe MPPT Technique For Photovoltaic-based Microgrid,” IEEE Transaction Power Electron, vol. 26, no.4, pp. 1010-1021, 2011.

M. Lawan, A. Aboushady, and K.H. Ahmed, “ Photovoltaic MPPT Techniques Comparative Review,” 9th International Conference on Renewable Energy Research and Applications, Glagow, UK, pp. 344 - 351, 27 – 30 September 2020.

J. Ahmed, and Z. Salam, “ An Improved Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) Algorithm for Higher Efficiency,” Applied Energy, vol. 150, pp. 97-108, 2015.

A.I. Nusaif, and A.L. Mahmood, “ MPPT Algorithms (PSO, FA, and MFA) For PV System Under Partial Shading Condition, Case Study : BTS in Algazalia, Baghdad,” International Journal of Smart Grid, vol. 10, No.3, pp. 100 - 110, September 2020.

O. Guenounou, B. Dahhou, and F. Chabour, “Adaptive Fuzzy Controllers Based MPPT for Photovoltaic System,” Energy Conversion Management, vol.78, pp. 843-850, 2014.

S. Daraban, D. Petreus, and C. Morel, “A Novel MPPT (Maximum Power Point Tracking) Algorithm Based On A Modified Genetic Algorithm Specialized On tracking The Global Maximum Power Point in Photovoltaic System Affected By Partial Shading, “ Energy, vol. 74, pp. 374-388, 2014.

S.A. Rizzo, and G. Scelba, “ ANN Based MPPT Method for Rapidly Variable Shading Condition,” Applied Energy, vol 145, pp. 124-132, 2015.

K.L. Lian, J.H. Jhang, and I.S. Tian, “A Maximum Power Point Tracking Method Based on Perturb-and-Observe Combined With Particle Swarm Optimization,” IEEE Journal of Photovoltaic., vol. 4, no. 2, pp. 626–633, March 2014.

M. Nasiri, J. Milimonfared, and S.H. Fathi, “Modeling, analysis and comparison of TSR and OTC methods for MPPT and power smoothing in permanent magnet synchronous generator-based wind turbines,” Energy Conversion and Management, vol. 86, pp. 892–900, October 2014.

D. Kumar, and K. Chatterjee, “A review of conventional and advanced MPPT algorithms for wind energy systems,” Renewable and Sustainable Energy Reviews, vol. 55, pp. 957–970, March 2016.

R.I. Putri, M. Pujiantara, A. Priyadi, M. H. Purnomo, and T. Taufik, “ Optimum Control Strategy of Grid Connected PMSG Wind Turbine Based On Energy Storage System”. International Seminar on Intelligent Technology and Its Application, Mataram, Indonesia, pp. 623-628, 28 – 30 July 2016.

R.I Putri, M. Pujiantara, A. Priyadi, T. Ise, and M.H. Purnomo, “Maximum Power Extraction Improvement Using Sensorless Controller Based On Adaptive Perturb and Observe Algorithm For PMSG Wind Turbine Application,”” IET Electric Power Application, vol. 12, no.4, pp. 455 – 462, 2018.

H. Fathabadi, “Maximum mechanical power extraction from wind turbines using novel proposed high accuracy single-sensor-based maximum power point tracking technique,” Energy, vol. 113, pp. 1219–1230, October 2016.

A.M. Eltamaly, and H.M. Farh, “Maximum Power Extraction From Wind Energy System Based On Fuzzy Logic Control,” Electric Power Systems Research., vol. 97, pp. 144–150, April 2013.

J. Lee, and Y.S. Kim, “Sensorless Fuzzy-Logic-Based Maximum Power Point Tracking Control For a Small-Scale Wind Power Generation Systems With a Switched-Mode Rectifier,” IET Renewable Power Generation, vol. 10, no. 2, pp. 194–202, 2016.

R.I. Putri, M. Rifa’i, M. Pujiantoro, A. Priyadi, M.H. Purnomo, “Fuzzy MPPT Controller For Small Scale Stand Alone PMSG Wind Turbine”, ARPN Journal of Engineering and Applied Sciences. vol. 12, No. 1, pp: 188-193, 2017.

S.E. Rhaili, A. Abbou, N. El Hichami, and S. Marhraoui, "A New Strategy based Neural Networks MPPT Controller for Five-Phase PMSG Based Variable Speed Wind Turbine”, 7th International Conference on Renewable Energy Research and Applications, Paris, France, pp. 1038 - 1043, 14 – 17 October 2018.

A. Harrag, and S. Messalti, “Variable step size modified P&O MPPT algorithm using GA-based hybrid offline/online PID controller,” Renewable and Sustainable Energy Reviews, vol. 49, pp. 1247–1260, September 2015.

R.I. Putri, M. Rifa’i, I.N. Syamsiana, and F. Ronilaya, “Control of PMSG Stand-alone Wind turbine System Based on Multi Objective PSO,” International Journal of Renewable Energy Research, Vol. 10, No. 2, pp. 998 - 1004, June 2020.

R.I. Putri, L. Jasa, M. Pujiantara, A. Proyadi, and M. H. Purnomo, “Tuning PI Controller Based On Multiobjective Optimization Approaches For Speed Control of PMSG Wind Turbine”, International Review of Automatic Control, Vol. 8, no. 4, pp. 315 – 321, 2015.

G.V. Ligade, and V.R. Pawar, “ Optimization of Solar-Wind Hybrid Energi System Using MPPT”, 2017 International Conference on Intelligent Computing and Control Systems (ICICCS), Chennai, India, pp 595 – 597, August 2017.

M. Rezkallah, A. Hamadi, A. Chandra, and B. Singh, “Design and Implementation of Active Power Control with Improved P&O Method for Wind/PV-Battery based Standalone Generation System“,IEEE Transactions On Industrial Electronics, Vol. 65, Issue 7, pp. 5590 – 5600, 2018.

H. Fathabadi, “Novel Standalone Hybrid Solar/Wind/fuel Cell Power Generation Systems For Remote Areas”, Solar Energy, vol. 146, pp. 30-43, 2017.

L. Xiangjun, H. Dong, and L. Xiaokang,” Battery Energy Storage Station (BESS)-Based Smoothing Control of Photovoltaic (PV) and Wind Power Generation Fluctuations”, IEEE Transactions On Sustainable Energy, Vol.4, No.2, 2013

J.P. Ram, N. Rajasekar, and M. Miyatake, “Design And Overview of Maximum Power Point Tracking Techniques In Wind And Solar Photovoltaic Systems: A Review”, Renewable and Sustainable Energy Rev., vol. 73, pp. 1138-1159, 2017.

A. Derrouazin, M. Aillerie, M.N. Maaza, and J.P. Charles, “Multi Input Output Fuzzy Logic Smart Controller For Residential Hybrid Solar-Wind-Storage Energy System”, Energy Conversion and Management, vol. 148, pp. 238-250, 2017.

C.M. Hong, and C.H. Chen, “ Intelligent Control of a Grid Connected Wind Photovoltaic Hybrid Power Systems”, Electrical Power and Energy Systems, vol 55, pp. 554-561, 2014.

M. Amer, A. Namaane, N.K. Msirdi, “Optimization of HRES using PSO for cost reduction”, Energy Procedia, vol.42, pp. 318–27, 2013.




DOI (PDF): https://doi.org/10.20508/ijrer.v11i3.12161.g8253

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