Ramp-Rate Control for Mitigation of Solar PV Fluctuations with Hybrid Energy Storage System
DOI:
https://doi.org/10.13052/dgaej2156-3306.3835Keywords:
PV system, fluctuations, ramp-rate control, battery storage, supercapacitor, fault-ride throughAbstract
This paper proposes a ramp-rate control (RRC) for mitigation of solar PV fluctuations with a hybrid energy storage system (HESS). The highly fluctuating primary energy source causes photovoltaic (PV) generators to suffer from variable output capacity. Such variations can lead to instability in power systems and problems with power quality due to large PV penetration. The role of energy storage devices (ESSs) as a fluctuation compensator is suggested to minimize these issues using RRC. Distributed Generation Systems (DGs) have become a key challenge as the disruption of DG from the grid during faults results in severe difficulties such as power outages and voltage flickers. Low voltage ride through (LVRT) is a promising method for supplying reactive power under low voltage conditions. The proposed method will enable dynamic control of integrated battery storage (BS) to mitigate power fluctuations during the day while simultaneously charging or discharging the integrated super-capacitor (SC) storage to control sudden variations in a BS to a certain magnitude. A system for exchanging energy between the BS and the SC storage provides uninterrupted control of the rapid fluctuations of the passing cloud. The storage capacity savings are evaluated by using the RRC for the smoothing impact of geographical deflection on PV power production. Simulations conducted with real operational PV power output data taken every 1 s from the power plant during one year confirm the validity of the model. The OP-5700 HIL test-bench is used for the real-time results.
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G. Kumar, R. Sarojini, K. Palanisamy, S. Padmanaban, J. Holm-Nielsen, “Large Scale Renewable Energy Integration: Issues and Solutions,” Energies vol. 12, no. 10, pp. 1–17, 2019.
P. Ariyaratna, K. M. Muttaqi, D. Sutanto, “A novel control strategy to mitigate slow and fast fluctuations of the voltage profile at common coupling Point of rooftop solar PV unit with an integrated hybrid energy storage system,” Journal of Energy Storage, vol. 20, pp. 409–417, 2018.
J. Marcos, O. Storke, L. Marroyo, M. Garcia, and E. Lorenzo, “Storage requirements for PV power ramp-rate control,” Sol. Energy, vol. 99, pp. 28–35, 2014.
G. V. Brahmendra Kumar and K. Palanisamy, “A Review on Microgrids with Distributed Energy Resources,” 2019 Innovations in Power and Advanced Computing Technologies (i-PACT), 2019, pp. 1–6.
B. M. Sanandaji, T. L. Vincent and K. Poolla, “Ramping Rate Flexibility of Residential HVAC Loads,” in IEEE Transactions on Sustainable Energy, vol. 7, no. 2, pp. 865-874, 2016, doi: 10.1109/TSTE.2015.2497236.
L. Marroyo, I. De Parra, J. Marcos, and M. Garcı
, “Control strategies to use the minimum energy storage requirement for PV power ramp-rate control,” Sol. Energy, vol. 111, pp. 332–343, 2015.
V. B. K. Gundumalla and S. Eswararao, “Ramp Rate Control Strategy for an Islanded DC Microgrid with Hybrid Energy Storage System,” 2018 4th International Conference on Electrical Energy Systems (ICEES), 2018, pp. 82–87.
G. V. B. Kumar and K. Palanisamy, “Interleaved boost converter for renewable energy application with energy storage system,” In Proceedings of the 2019 IEEE 1st International Conference on Energy, Systems and Information Processing (ICESIP), 2019, pp. 1–5.
R. Van Haaren, M. Morjaria, and V. Fthenakis, “Empirical assessment of short-term variability from utility-scale solar PV plants,” Progress in Photovoltaics, vol. 22, pp. 548–559, 2012.
G. V. Brahmendra Kumar and K. Palanisamy, Review of energy storage system for microgrid, Microgrid Technologies, Wiley, vol. 31, no. 9, pp. 57–90, 2021.
G. V. B. Kumar and K. Palanisamy, “A Review of Energy Storage Participation for Ancillary Services in a Microgrid Environment,” Inventions, vol. 5, no. 4, pp. 1–36, 2020.
M. J. E. Alam, K. M. Muttaqi, D. Sutanto, “A Novel Approach for Ramp-Rate Control of Solar PV Using Energy Storage to Mitigate Output Fluctuations Caused by Cloud Passing,” IEEE Trans. Energy Convers., vol. 29, no. 2, pp. 507–518, 2014.
S. A. Abdelrazek and S. Kamalasadan, “Integrated PV Capacity Firming and Energy Time Shift Battery Energy Storage Management Using Energy-Oriented Optimization,” in IEEE Transactions on Industry Applications, vol. 52, no. 3, pp. 2607–2617, 2016, doi: 10.1109/TIA.2016.2531639.
H. Beltran, E. Bilbao, E. Belenguer, I. Etxeberria-Otadui and P. Rodriguez, “Evaluation of Storage Energy Requirements for Constant Production in PV Power Plants,” in IEEE Transactions on Industrial Electronics, vol. 60, no. 3, pp. 1225–1234, March 2013, doi: 10.1109/TIE.2012.2202353.
J. Schnabel, S. Valkealahti, “Energy storage requirements for PV power ramp rate control in northern Europe,” Int. J. Photoenergy, pp. 1–11, 2016. https://doi.org/10.1155/2016/2863479.
M. M. Id and Á. Miguel, “A Grid Connected Photovoltaic Inverter with Battery-Supercapacitor Hybrid Energy Storage,” Sensors, vol. 17, no. 8, 2017, doi: 10.3390/s17081856.
W. Jiang, L. Zhang, H. Zhao, H. Huang and R. Hu, “Research on power sharing strategy of hybrid energy storagesystem in photovoltaic power station based on multi-objective optimisation,” in IET Renewable Power Generation, vol. 10, no. 5, pp. 575–583, 2016, doi: 10.1049/iet-rpg.2015.0199.
R. Perez, S. Kivalov, J. Schlemmer, K. Hemker, and T. E. Hoff, “Short-term irradiance variability: Preliminary estimation of station pair correlation as a function of distance,” Sol. Energy, vol. 86, no. 8, pp. 2170–2176, 2012.
H. Beltran, I. Tomás García, J. C. Alfonso-Gil and E. Pérez, “Levelized Cost of Storage for Li-Ion Batteries Used in PV Power Plants for Ramp-Rate Control,” in IEEE Transactions on Energy Conversion, vol. 34, no. 1, pp. 554–561, 2019, doi: 10.1109/TEC.2019.2891851.
G. V. B. Kumar, K. Palanisamy and E. D. Tuglie, “Energy Management of PV-Grid-Integrated Microgrid with Hybrid Energy Storage System,” 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2021, pp. 1–6.
R. Perez, T. Hoff, J. Dise, D. Chalmers, and S. Kivalov, “The cost of mitigating short-term PV output variability,” Energy procedia, vol. 57, pp. 755–762, 2014.
G. Anilkumar, A. Chakradhar, G. V. Brahmendra Kumar, and K. Palanisamy, “Resource assessment and energy yield estimation for 160 MW solar-wind hybrid project using system advisory model,” IOP Conf. Ser. Mater. Sci. Eng., vol. 937, p. 012020, 2020.
M. García, L. Marroyo, E. Lorenzo, J. Marcos, and M. Pérez, “Solar irradiation and PV module temperature dispersion at a large-scale PV plant,” Progress in Photovoltaics, vol. 33, no. 10, pp. 1381–1389, 2014.
G. V. B. Kumar, P. Kaliannan, S. Padmanaban, J. Holm-Nielsen, F. Blaabjerg, “Effective Management System for Solar PV Using Real-Time Data with Hybrid Energy Storage System,” Applied Sciences, vol. 10, no. 3, pp. 1–15, 2020.
V. T. Tran, M. R. Islam, D. Sutanto and K. M. Muttaqi, “Mitigation of Solar PV Intermittency Using Ramp-Rate Control of Energy Buffer Unit,” in IEEE Transactions on Energy Conversion, vol. 34, no. 1, pp. 435–445, 2019, doi: 10.1109/TEC.2018.2875701.
G. V. Brahmendra Kumar, G. A. Kumar, S. Eswararao and D. Gehlot, “Modelling and Control of BESS for Solar Integration for PV Ramp Rate Control,” 2018 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC), 2018, pp. 368–374.
N. Beg, A. Rahmoun, A. Armstorfer, A. Rosin and H. Biechl, “Determination methods for controller parameters of back-to-back converters in electric power grids,” 2016 Electric Power Quality and Supply Reliability (PQ), pp. 157–164, 2016. doi: 10.1109/PQ.2016.7724106.
S. Chamraz and R. Balogh, “Potential of the Optimum Modulus Method,” 2016 Cybernetics & Informatics (K&I), pp. 1–6, 2016. doi: 10.1109/CYBERI.2016.7438622.
V. K. Pavuluri, X. Wang, J. Long, G. Zhuo and W. Lian, “Field Oriented Control of Induction Motors Using Symmetrical Optimum Method with Applications in Hybrid Electric Vehicles,” 2015 IEEE Vehicle Power and Propulsion Conference (VPPC), pp. 1–6, 2015. doi: 10.1109/VPPC.2015.7352948.
N. Radimov, S. Liu and X. Wang, “Extended Modulus Optimum Method for Off-Grid Inverter’s Voltage Control System,” 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), pp. 1–5, 2019. doi: 10.1109/CCECE.2019.8861801.
J. Lin and S. Li, “Optimal parameters selection to satisfy optimum modulus theory,” 2010 Chinese Control and Decision Conference, pp. 1135–1140, 2010. doi: 10.1109/CCDC.2010.5498145.
D. Tomas and O. Stepan, “Advanced PID tuning based on the modulus optimum method for real systems,” AIP Conference Proceedings, vol. 1836, no. 020060, pp. 1–6, 2017. https://doi.org/10.1063/1.4982000.
A. D. Giles, L. Reguera and A. J. Roscoe, “Optimal controller gains for inner current controllers in VSC inverters,” International Conference on Renewable Power Generation (RPG 2015), 2015, pp. 1–6, doi: 10.1049/cp.2015.0391.
J. Cvejn, “PI/PID controller design for FOPDT plants based on the modulus optimum criterion,” 2011 12th International Carpathian Control Conference (ICCC), Velke Karlovice, pp. 60–65, 2011. doi: 10.1109/CarpathianCC.2011.5945816.
V. Gevorgian and S. Booth, “Review of PREPA Technical Requirements for Interconnecting Wind and Solar Generation,” pp. 1–72, 2013. https://www.nrel.gov/docs/fy14osti/57089.pdf.
K. Prompinit and S. Khomfoi, “Ramp rate consideration of a BESS using active power control for PV generation,” 2015 18th International Conference on Electrical Machines and Systems (ICEMS), pp. 1676–1680, 2015. doi: 10.1109/ICEMS.2015.7385310.
M. Chamana, B. H. Chowdhury and F. Jahanbakhsh, “Distributed Control of Voltage Regulating Devices in the Presence of High PV Penetration to Mitigate Ramp-Rate Issues,” in IEEE Transactions on Smart Grid, vol. 9, no. 2, pp. 1086–1095, 2018. doi: 10.1109/TSG.2016.2576405.
