Particle Swarm Optimization Based Modified Pole-Zero Cancellation Technique for VSI Control to Improve Transient Response in Microgrids

Srikanth M., Pavan Kumar Y. V.

Abstract


The response of voltage source inverter (VSI) based renewable energy microgrids depends on the control methodology deployed for VSI’s power, voltage, and current controllers. Usually, power controllers with fixed droop possess limited power handling capability, which has been addressed by developing adaptive droop control strategies in the literature. However, the efficacy of the adaptive droop control in enhancing the power handling capability depends on the performance of the voltage and current (VA) controllers. However, the VA controllers tuned with conventional PI tuning techniques (PIVA) offer complexity in selecting precise controller gains, which leads to poor transient response. To reduce complexity, the pole-zero cancellation technique (PZC) has been introduced in the literature for VA controllers’ tuning. However, the PZC leads to poor transient response during disturbances. Thus, to achieve a better transient response, this paper proposes the design of VA controllers with modified PZC (MPZCVA). This uses particle swarm optimization to optimally tune the integral coefficient based on the error that is observed in the closed loop response against various disturbances. To verify the proposed technique, simulation studies are performed under various power factor loading. Along with the conventional PIVA and proposed MPZCVA controllers, this paper implements fuzzy logic-based adaptive droop (FAD) control for the power controller to form the VSI control loop. Thus, the proposed MPZCVA cascaded with FAD controller (MPZCVA-FAD) is compared with the conventional PIVA cascaded with FAD controller (PIVA-FAD). The results proved the usefulness of the proposed methodology in enhancing the power handling capability and transient response of the microgrid.

Keywords


Microgrids; Particle swarm optimization (PSO); Pole-zero cancellation (PZC); Transient response; Voltage and current (VA) controllers; Voltage source inverter (VSI) control

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References


A. Mohammed and H. Abu-Rub, “A co-simulation platform for microgrid integration into transmission system—Power quality study,” in Proc. 10th Int. Conf. Smart Grid (icSmartGrid), Istanbul, Turkey, 2022, pp. 319–324, doi: 10.1109/icSmartGrid55722.2022.9848679.

I. E. Davidson and E. Buraimoh, “Modeling and fault ride-through control strategy for grid-supporting photovoltaic-based microgrids,” Int. J. Smart Grid, vol. 7, no. 2, Jun. 2023, doi: 10.20508/ijsmartgrid.v7i2.284.g273.

M. Abdou-Tankari, J. Arkhangelski, M. Garba, G. Lefebvre, A. Drame, and D. Abdourahimou, “Power quality challenges and urban microgrid based grid resiliency: Case of Niamey city electrical grid,” in Proc. 12th Int. Conf. Renewable Energy Research and Applications (ICRERA), Oshawa, ON, Canada, 2023, pp. 79–86, doi: 10.1109/ICRERA59003.2023.10269391.

N. Altin and S. E. Eyimaya, “A review of microgrid control strategies,” in Proc. 10th Int. Conf. Renewable Energy Research and Application (ICRERA), Istanbul, Turkey, 2021, pp. 412–417, doi: 10.1109/ICRERA52334.2021.9598699.

A. AlKassem, M. Al Ahmadi, and A. Draou, “Modeling and simulation analysis of a hybrid PV-wind renewable energy sources for a micro-grid application,” in Proc. 9th Int. Conf. Smart Grid (icSmartGrid), Setubal, Portugal, 2021, pp. 103–106, doi: 10.1109/icSmartGrid52357.2021.9551215.

M. Srikanth, Y. V. P. Kumar, M. Amir, S. Mishra, and A. Iqbal, “Improvement of transient performance in microgrids: Comprehensive review on approaches and methods for converter control and route of grid stability,” IEEE Open J. Ind. Electron. Soc., vol. 4, pp. 534–572, Oct. 2023, doi: 10.1109/OJIES.2023.3325440.

M. Srikanth and Y. V. P. Kumar, “Improved virtual synchronous generator-based control scheme for enhanced transient response in microgrids,” Eng. Proc., vol. 56, no. 1, 2023, doi: 10.3390/ASEC2023-15390.

J. Schiffer, R. Ortega, A. Astolfi, J. Raisch, and T. Sezi, “Conditions for stability of droop-controlled inverter-based microgrids,” Automatica, vol. 50, pp. 2457–2469, Oct. 2014, doi: 10.1016/j.automatica.2014.08.009.

M. Guan, W. Pan, J. Zhang, Q. Hao, J. Cheng, and X. Zheng, “Synchronous generator emulation control strategy for voltage source converter (VSC) stations,” IEEE Trans. Power Syst., vol. 30, no. 6, pp. 3093–3101, Nov. 2015, doi: 10.1109/TPWRS.2014.2384498.

D. K. Dheer, N. Soni, and S. Doolla, “Improvement of small signal stability margin and transient response in inverter-dominated microgrids,” Sustain. Energy Grids Netw., vol. 5, pp. 135–147, Mar. 2016, doi: 10.1016/j.segan.2015.12.005.

J. Alipoor, Y. Miura, and T. Ise, “Stability assessment and optimization methods for microgrid with multiple VSG units,” IEEE Trans. Smart Grid, vol. 9, no. 2, pp. 1462–1471, Mar. 2018, doi: 10.1109/TSG.2016.2592508.

A. Anilkumar and N. V. Srikanth, “Teaching-learning optimization based adaptive fuzzy logic controller for frequency control in an autonomous microgrid,” Int. J. Renewable Energy Res., vol. 7, no. 4, 2017, doi: 10.20508/ijrer.v7i4.6337.g7238.

J. Kaushal and P. Basak, “Power quality control based on voltage sag/swell, unbalancing, frequency, THD and power factor using artificial neural network in PV integrated AC microgrid,” Sustain. Energy Grids Netw., vol. 23, Art. no. 100365, Sep. 2020, doi: 10.1016/j.segan.2020.100365.

M. Srikanth and Y. V. P. Kumar, “A state machine-based droop control method aided with droop coefficients tuning through infeasible range detection for improved transient performance of microgrids,” Symmetry, vol. 15, no. 1, p. 1, 2022, doi: 10.3390/sym15010001.

C. Andalib-Bin-Karim, X. Liang, and H. Zhang, “Fuzzy-secondary-controller-based virtual synchronous generator control scheme for interfacing inverters of renewable distributed generation in microgrids,” IEEE Trans. Ind. Appl., vol. 54, no. 2, pp. 1047–1061, Mar. 2018, doi: 10.1109/TIA.2017.2773432.

W. Ma, Y. Guan, and B. Zhang, “Active disturbance rejection control based control strategy for virtual synchronous generators,” IEEE Trans. Energy Convers., vol. 35, no. 4, pp. 1747–1761, Dec. 2020, doi: 10.1109/TEC.2020.2991737.

Y. Wang, D. Wang, Z. Huang, and Y. Li, “Hybrid voltage and current control strategy for virtual synchronous generator under unbalanced voltage conditions,” IET Renewable Power Generation, 2022, doi: 10.1049/rpg2.12497.

Y. Zhu, H. Wang, and Z. Zhu, “Improved VSG control strategy based on the combined power generation system with hydrogen fuel cells and super capacitors,” Energy Rep., vol. 7, pp. 6820–6832, Nov. 2021, doi: 10.1016/j.egyr.2021.10.056.

B. V. Murthy, Y. V. P. Kumar, and U. V. R. Kumari, “Application of neural networks in process control: Automatic/online tuning of PID controller gains for ±10% disturbance rejection,” in Proc. IEEE Int. Conf. Adv. Commun. Control Comput. Technol., 2012, pp. 348–352, doi: 10.1109/ICACCCT.2012.6320800.

T. Wen, J. Liu, C. Tongwen, and H. J. Marquez, “Comparison of some well-known PID tuning formulas,” Comput. Chem. Eng., vol. 30, no. 9, pp. 1416–1423, 2006, doi: 10.1016/j.compchemeng.2006.04.001.

O. D. Aidan, Handbook of PI and PID Controller Tuning Rules, 3rd ed. London, U.K.: Imperial College Press, 2009.

C. Bajracharya, M. Molinas, J. A. Suul, and T. M. Undeland, “Understanding of tuning techniques of converter controllers for HVDC,” in Proc. Nordic Workshop Power Ind. Electron. (NORPIE), Helsinki, Finland, 2008, pp. 1–8.

Y. V. P. Kumar and R. Bhimasingu, “Design of voltage and current controller parameters using small signal model-based pole-zero cancellation method for improved transient response in microgrids,” SN Appl. Sci., vol. 3, p. 836, 2021, doi: 10.1007/s42452-021-04815-x.

?. M. Stoji? and T. B. Šekara, “A new digital resonant current controller for AC power converters based on the advanced Z-transform,” ISA Trans., vol. 139, pp. 535–545, Oct. 2022, doi: 10.1016/j.isatra.2022.02.008.

U. Sultana, S. H. Qazi, N. Rasheed, and M. W. Mustafa, “Performance analysis of real-time PSO tuned PI controller for regulating voltage and frequency in an AC microgrid,” Int. J. Electr. Comput. Eng., vol. 11, no. 2, pp. 1068–1076, Apr. 2021, doi: 10.11591/ijece.v11i2.pp1068-1076.

G. Štimac, S. Braut, and R. Žiguli?, “Comparative analysis of PSO algorithms for PID controller tuning,” Chin. J. Mech. Eng., vol. 27, pp. 928–936, Dec. 2014, doi: 10.3901/CJME.2014.0527.302.

S. Behera, B. Subudhi, and B. B. Pati, “Design of PI controller in pitch control of wind turbine: A comparison of PSO and PS algorithm,” Int. J. Renewable Energy Res., vol. 6, no. 1, 2016, doi: 10.20508/ijrer.v6i1.3137.g6783.

Y. V. P. Kumar and R. Bhimasingu, “Fuzzy logic based adaptive virtual inertia in droop control operation of the microgrid for improved transient response,” in Proc. IEEE PES Asia-Pacific Power and Energy Engineering Conf. (APPEEC), Bangalore, India, 2017, pp. 1–6, doi: 10.1109/APPEEC.2017.8309006.

M. Yazdanian and A. Mehrizi-Sani, “Internal model-based current control of the RL filter-based voltage-sourced converter,” IEEE Trans. Energy Convers., vol. 29, no. 4, pp. 873–881, Dec. 2014, doi: 10.1109/TEC.2014.2353035.

M. Yazdanian and A. Mehrizi-Sani, “Case studies on cascade voltage control of islanded microgrids based on the internal model control,” IFAC-PapersOnLine, vol. 48, no. 30, pp. 578–582, Dec. 2015, doi: 10.1016/j.ifacol.2015.12.442.

M. Yadav, P. Jaiswal, and N. Singh, “Fuzzy logic-based droop controller for parallel inverter in autonomous microgrid using vectored controlled feed-forward for unequal impedance,” J. Inst. Eng. India Ser. B, vol. 102, no. 4, pp. 691–705, 2021, doi: 10.1007/s40031-021-00588-4.




DOI (PDF): https://doi.org/10.20508/ijrer.v16i1.15147.g9157

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