Minimization of Circulating Currents in Parallel DC-DC Boost Converter Using Non-Linear Droop Control for Battery Energy Storage System
Battery is considered the most dominant energy storage device for renewable energy-based DC microgrid systems (RE-DCMG) because of its ability to store energy for a longer duration. Here the power electronic converter plays a vital role, which acts as a bridge between the energy storage system and DC microgrid. One of the main reasons for the failure of battery systems due to the failure of the power electronic converters. To improve the redundancy and converter failure issues of battery energy storage systems (BESS), parallel operation of multiple converters are required. However, the parallel operation faces an issue of voltage imbalance between the converters which gives rise to an input circulating current. To address these issues, in this paper, we propose a nonlinear droop control based parallel DC-DC boost converter for battery energy storage system. The nonlinear droop control strategy ensures the equal battery current sharing between the parallel converters and good output voltage regulation. Moreover, SOC based controller avoids over-charging and over-discharging of the battery and the parallel converters ensure the redundancy in operation. The proposed system is designed and implemented in the MATLAB/Simulink and compared with the existing linear droop control.
Bull SR. Renewable energy today and tomorrow. Proceedings of the IEEE. 2001 Aug;89(8):1216–26.
Punna S, Manthati UB, Chirayarukil Raveendran A. Modeling, analysis, and design of novel control scheme for two-input bidirectional DC-DC converter for HESS in DC microgrid applications. International Transactions on Electrical Energy Systems. 2021 Jan 4:e12774.
Babu NP, Babu CB, Peesapati RB, Panda G. An optimal current control scheme in grid-tied hybrid energy system with active power filter for harmonic mitigation. International Transactions on Electrical Energy Systems. 2019 Dec 17.
Kumar GB, Palanisamy K, De Tuglie E. Energy Management of PV-Grid-Integrated Microgrid with Hybrid Energy Storage System. In 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) 2021 Sep 7 (pp. 1–6). IEEE.
Vavilapalli S, Padmanaban S, Subramaniam U, Mihet-Popa L. Power balancing control for grid energy storage system in photovoltaic applications—Real time digital simulation implementation. Energies. 2017 Jul;10(7):928.
Katnapally A, Manthati UB, Chirayarukil Raveendran A, Punna S. A predictive power management scheme for hybrid energy storage system in electric vehicle. International Journal of Circuit Theory and Applications. 2021 Aug 20.
Deng, J., Shi, J., Liu, Y. and Tang, Y., 2016. Application of a hybrid energy storage system in the fast-charging station of electric vehicles. IET Generation, Transmission & Distribution, 10(4), pp. 1092–1097.
Kumar R, Padmanaban S. Electric vehicles for India: overview and challenges. IEEE India Informatics. 2019 Apr;14:139.
Arunkumar, C.R., Manthati, U.B. and Punna, S., 2021. Supercapacitor-based transient power supply for DC microgrid applications. Electrical Engineering, pp. 1–10.
Punna, S., and Manthati, U.B., 2020. Optimum design and analysis of a dynamic energy management scheme for HESS in renewable power generation applications. SN Applied Sciences, 2(3), pp. 1–13.
Mazumder SK, Tahir M, Acharya K. Master–slave current-sharing control of a parallel DC–DC converter system over an RF communication interface. IEEE Transactions on Industrial Electronics. 2008 Jan 4;55(1):59–66.
Thounthong P, Mungporn P, Pierfederici S, Guilbert D, Takorabet N, Nahid-Mobarakeh B, Hu Y, Bizon N, Huangfu Y, Kumam P, Burikham P. Robust Hamiltonian-Energy Control Based on Lyapunov Function for Four-Phase Parallel Fuel Cell Boost Converter for DC Microgrid Applications. IEEE Transactions on Sustainable Energy. 2021 Jan 12.
Wang YF, Xue LK, Wang CS, Wang P, Li W. Interleaved high-conversion-ratio bidirectional DC–DC converter for distributed energy-storage systems—circuit generation, analysis, and design. IEEE Transactions on Power Electronics. 2015 Nov 2;31(8):5547–61.
Mazumder, S.K., Tahir, M., and Acharya, K., 2008. Master-slave current-sharing control of a parallel DC-DC converter system over an RF communication interface. IEEE Transactions on Industrial Electronics, 55(1), pp. 59–66.
Augustine, S., Mishra, M.K., and Lakshminarasamma, N., 2014. Adaptive droop control strategy for load sharing and circulating current minimization in low-voltage standalone DC microgrid. IEEE Transactions on Sustainable Energy, 6(1), pp. 132–141.
Ashourloo M, Namburi VR, Piqué GV, Pigott J, Bergveld HJ, El Sherif A, Trescases O. Decentralized quasi-fixed-frequency control of multiphase interleaved hybrid Dickson converters for fault-tolerant automotive applications. IEEE Transactions on Power Electronics. 2019 Dec 9;35(7):7653–63.
Xu Q, Hu X, Wang P, Xiao J, Tu P, Wen C, Lee MY. A decentralized dynamic power sharing strategy for hybrid energy storage system in autonomous DC microgrid. IEEE transactions on industrial electronics. 2016 Sep 13;64(7):5930–41.
Khorsandi, A., Ashourloo, M., and Mokhtari, H., 2014. A decentralized control method for a low-voltage DC microgrid. IEEE Transactions on Energy Conversion, 29(4), pp. 793–801.
Lu, X., Guerrero, J.M., Sun, K., and Vasquez, J.C., 2013. An improved droop control method for dc microgrids based on low bandwidth communication with dc bus voltage restoration and enhanced current sharing accuracy. IEEE Transactions on Power Electronics, 29(4), pp. 1800–1812.
Gu, Y., Xiang, X., Li, W., and He, X., 2013. Mode-adaptive decentralized control for renewable DC microgrid with enhanced reliability and flexibility. IEEE Transactions on Power Electronics, 29(9), pp. 5072–5080.
Chen, F., Burgos, R., Boroyevich, D., Vasquez, J.C., and Guerrero, J.M., 2019. Investigation of nonlinear droop control in DC power distribution systems: Load sharing, voltage regulation, efficiency, and stability. IEEE Transactions on Power Electronics, 34(10), pp. 9404–9421.
Prabhakaran, P., Goyal, Y. and Agarwal, V., 2017. A novel communication-based average voltage regulation scheme for a droop-controlled DC microgrid. IEEE Transactions on Smart Grid, 10(2), pp. 1250–1258.
Du, Y., Huang, A.Q., Yu, X. and Li, J., 2013, March. Droop controller design methods for isolated DC-DC converter in DC grid battery energy storage applications. In 2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC) (pp. 1630–1637). IEEE.
Prabhakaran, P., Goyal, Y. and Agarwal, V., 2017. Novel nonlinear droop control techniques to overcome the load sharing and voltage regulation issues in DC microgrid. IEEE Transactions on power electronics, 33(5), pp. 4477–4487.
Maknouninejad, A., Qu, Z., Lewis, F.L., and Davoudi, A., 2014. Optimal, nonlinear, and distributed designs of droop controls for DC microgrids. IEEE Transactions on Smart Grid, 5(5), pp. 2508–2516.
Pavlovic, T., Bjazic, T., and Ban, Z., 2012. Simplified averaged models of DC-DC power converters suitable for controller design and microgrid simulation. IEEE Transactions on Power Electronics, 28(7), pp. 3266–3275.
Sanjeev, P., Padhy, N.P., and Agarwal, P., 2018. Autonomous power control and management between standalone DC microgrids. IEEE Transactions on Industrial Informatics, 14(7), pp. 2941–2950.
Arunkumar, C.R., Manthati, U.B., 2019, October. Design and Small Signal Modelling of Battery-Supercapacitor HESS for DC Microgrid. In TENCON 2019-2019 IEEE Region 10 Conference (TENCON) (pp. 2216–2221). IEEE.
Arunkumar CR, Manthati UB, Srinivas P. Accurate modelling and analysis of battery–supercapacitor hybrid energy storage system in DC microgrid systems. Energy Systems. 2021 Jul 26:1–9.
S. Anand B.G. Fernandes, “Modified droop controller for paralleling of dc-dc converters in standalone dc system modified droop controller for paralleling of dc-dc converters in standalone dc system,” IET Power Electronics 3rd February 2012.
Chang, W.Y., 2013. The state of charge estimating methods for battery: A review. ISRN Applied Mathematics, 2013.
Rosewater, D.M., Copp, D.A., Nguyen, T.A., Byrne, R.H., and Santoso, S., 2019. Battery Energy Storage Models for Optimal Control. IEEE Access, 7, pp. 17827–178391.