Battery lifetime extension; Hybrid energy storage system; Hardware in the loop; Real-time digital simulator
Abstract :
[en] This study proposes a hybrid energy storage system (HESS) composed of the superconducting energy storage system (SMES) and the battery. The system is designed to compensate power fluctuations within a microgrid. A novel control method is developed to share the instantaneous power between the SMES and the battery. The new control scheme takes into account the characteristics of the components of the HESS, and the battery charges and discharges as a function of the SMES current rather than directly to the power disturbances. In this way, the battery is protected from the abrupt power changes and works as an energy buffer to the SMES. An new hardware-in-loop experiment approach is introduced by integrating a real-time digital simulator (RTDS) with a control circuit to verify the proposed hybrid scheme and the new control method. This paper also presents a battery lifetime prediction method to quantify the benefits of the HESS in the microgrid. A much better power sharing between the SMES and the battery can be observed from the experimental results with the new control method. Moreover, compared to the battery only system the battery lifetime is quantifiably increased from 6.38 years to 9.21 years.
Disciplines :
Energy
Author, co-author :
Li, Jianwei ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
Xiong, Riu
Mu, Hao
Cornélusse, Bertrand ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart-Microgrids
Vanderbemden, Philippe ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Capteurs et systèmes de mesures électriques
Ernst, Damien ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
Yuan, Weijia
Language :
English
Title :
Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime
Chaouachi, A., Kamel, R.M., Andoulsi, R., Nagasaka, K., Multiobjective intelligent energy management for a microgrid. IEEE Trans Ind Electron 60 (2013), 1688–1699.
Li, J., Xiong, R., Yang, Q., Liang, F., Zhang, M., Yuan, W., Design/test of a hybrid energy storage system for primary frequency control using a dynamic droop method in an isolated microgrid power system. Appl Energy 201 (2017), 257–269.
Yan, J., Zhai, Y., Wijayatunga, P., Mohamed, A.M., Campana, P.E., Renewable energy integration with mini/micro-grids. Appl Energy 201 (2017), 241–244.
Adhikari, S., Li, F., Coordinated Vf and PQ control of solar photovoltaic generators with MPPT and battery storage in microgrids. IEEE Trans Smart Grid 5 (2014), 1270–1281.
Zhang, G., Cao, Y., Cao, Y., Li, D., Wang, L., Optimal energy management for microgrids with combined heat and power (CHP) generation, energy storages, and renewable energy sources. Energies, 10, 2017, 1288.
Jin, X., Mu, Y., Jia, H., Wu, J., Jiang, T., Yu, X., Dynamic economic dispatch of a hybrid energy microgrid considering building based virtual energy storage system. Appl Energy 194 (2017), 386–398.
Hill, C.A., Such, M.C., Chen, D., Gonzalez, J., Grady, W.M., Battery energy storage for enabling integration of distributed solar power generation. IEEE Trans Smart Grid 3 (2012), 850–857.
Li, Z., Xu, Y., Optimal coordinated energy dispatch of a multi-energy microgrid in grid-connected and islanded modes. Appl Energy, 2017.
Xiong, R., Yu, Q., Wang, L.Y., Lin, C., A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter. Appl Energy 207 (2017), 346–353.
Xiong, R., Zhang, Y., He, H., Zhou, X., Pecht, M.G., A double-scale, particle-filtering, energy state prediction algorithm for lithium-ion batteries. IEEE Trans Ind Electron 65:2 (2018), 1526–1538.
Xiong, R., Tian, J., Mu, H., Wang, C., A systematic model-based degradation behavior recognition and health monitoring method for lithium-ion batteries. Appl Energy 207 (2017), 372–382.
Wei, Z., Zhao, J., Ji, D., Tseng, K.J., A multi-timescale estimator for battery state of charge and capacity dual estimation based on an online identified model. Appl Energy, 2017.
Wei, Z., Meng, S., Tseng, K.J., Lim, T.M., Soong, B.H., Skyllas-Kazacos, M., An adaptive model for vanadium redox flow battery and its application for online peak power estimation. J Power Sources 344 (2017), 195–207.
Lujano-Rojas, J.M., Dufo-López, R., Atencio-Guerra, J.L., Rodrigues, E.M.G., Bernal-Agustín, J.L., Catalão, J.P.S., Operating conditions of lead-acid batteries in the optimization of hybrid energy systems and microgrids. Appl Energy 179 (2016), 590–600.
Nakayama, T., Yagai, T., Tsuda, M., Hamajima, T., Micro power grid system with SMES and superconducting cable modules cooled by liquid hydrogen. IEEE Trans Appl Supercond 19 (2009), 2062–2065.
Fagnard, J.-F., Crate, D., Jamoye, J.-F., Laurent, P., Mattivi, B., Cloots, R., et al. Use of a high-temperature superconducting coil for magnetic energy storage. J Phys Conf Ser 43 (2006), 829–832.
Morandi, A., Fiorillo, A., Pullano, S., Ribani, P.L., Development of a small cryogen-free MgB 2 test coil for SMES application. IEEE Trans Appl Supercond 27 (2017), 1–4.
Wang, Y., Song, H., Yuan, W., Jin, Z., Hong, Z., Ramping turn-to-turn loss and magnetization loss of a No-Insulation (RE) Ba2Cu3Ox high temperature superconductor pancake coil. J Appl Phys, 121, 2017, 113903.
Wang, Y., Chan, W.K., Schwartz, J., Self-protection mechanisms in no-insulation (RE) Ba2Cu3O x high temperature superconductor pancake coils. Supercond Sci Technol, 29, 2016, 045007.
Li, J., Yang, Q., Robinson, F., Liang, F., Zhang, M., Yuan, W., Design and test of a new droop control algorithm for a SMES/battery hybrid energy storage system. Energy 118 (2017), 1110–1122.
Ghaib, K., Ben-Fares, F.-Z., A design methodology of stand-alone photovoltaic power systems for rural electrification. Energy Convers Manage 148 (2017), 1127–1141.
Chong, L.W., Wong, Y.W., Rajkumar, R.K., Rajkumar, R.K., Isa, D., Hybrid energy storage systems and control strategies for stand-alone renewable energy power systems. Renew Sustain Energy Rev 66 (2016), 174–189.
Theo, W.L., Lim, J.S., Wan Alwi, S.R., Mohammad Rozali, N.E., Ho, W.S., Abdul-Manan, Z., An MILP model for cost-optimal planning of an on-grid hybrid power system for an eco-industrial park. Energy 116 (2016), 1423–1441.
Wieczorek, M., Lewandowski, M., A mathematical representation of an energy management strategy for hybrid energy storage system in electric vehicle and real time optimization using a genetic algorithm. Appl Energy 192 (2017), 222–233.
Erdinc, O., Vural, B., Uzunoglu, M., A wavelet-fuzzy logic based energy management strategy for a fuel cell/battery/ultra-capacitor hybrid vehicular power system. J Power Sources 194 (2009), 369–380.
Ise, T., Kita, M., Taguchi, A., A hybrid energy storage with a SMES and secondary battery. IEEE Trans Appl Supercond 15 (2005), 1915–1918.
Wang, C., Xiong, R., He, H., Ding, X., Shen, W., Efficiency analysis of a bidirectional DC/DC converter in a hybrid energy storage system for plug-in hybrid electric vehicles. Appl Energy 183 (2016), 612–622.
Li, J., Zhang, M., Yang, Q., Zhang, Z., Yuan, W., SMES/battery hybrid energy storage system for electric buses. IEEE Trans Appl Supercond 26 (2016), 1–5.
Song, Z., Hou, J., Xu, S., Ouyang, M., Li, J., The influence of driving cycle characteristics on the integrated optimization of hybrid energy storage system for electric city buses. Energy 135 (2017), 91–100.
Zhou, H., Bhattacharya, T., Tran, D., Siew, T.S.T., Khambadkone, A.M., Composite energy storage system involving battery and ultracapacitor with dynamic energy management in microgrid applications. IEEE Trans Power Electron 26 (2011), 923–930.
Li, J., Gee, A.M., Zhang, M., Yuan, W., Analysis of battery lifetime extension in a SMES-battery hybrid energy storage system using a novel battery lifetime model. Energy 86 (2015), 175–185.
Yang, Q., Le Blond, S., Liang, F., Yuan, W., Zhang, M., Li, J., Design and application of superconducting fault current limiter in a multiterminal HVDC system. IEEE Trans Appl Supercond 27 (2017), 1–5.
Yang, Q., Le Blond, S., Aggarwal, R., Wang, Y., Li, J., New ANN method for multi-terminal HVDC protection relaying. Electr Power Syst Res 148 (2017), 192–201.
Mohan, V., Singh, J.G., Ongsakul, W., An efficient two stage stochastic optimal energy and reserve management in a microgrid. Appl Energy 160 (2015), 28–38.
Liu, X., Wang, P., Loh, P.C., A hybrid AC/DC microgrid and its coordination control. IEEE Trans Smart Grid 2 (2011), 278–286.
Eghtedarpour, N., Farjah, E., Power control and management in a hybrid AC/DC microgrid. IEEE Trans Smart grid 5 (2014), 1494–1505.
Molina, M.G., Mercado, P.E., Power flow stabilization and control of microgrid with wind generation by superconducting magnetic energy storage. IEEE Trans Power Electron 26 (2011), 910–922.
Han, Y., Shen, P., Zhao, X., Guerrero, J.M., Control strategies for islanded microgrid using enhanced hierarchical control structure with multiple current-loop damping schemes. IEEE Trans Smart Grid, 2015.
Castaings, A., Lhomme, W., Trigui, R., Bouscayrol, A., Comparison of energy management strategies of a battery/supercapacitors system for electric vehicle under real-time constraints. Appl Energy 163 (2016), 190–200.
Jia, H., Mu, Y., Qi, Y., A statistical model to determine the capacity of battery–supercapacitor hybrid energy storage system in autonomous microgrid. Int J Electr Power Energy Syst 54 (2014), 516–524.
Li, J., Wang, X., Zhang, Z., Le Blond, S., Yang, Q., Zhang, M., et al. Analysis of a new design of the hybrid energy storage system used in the residential m-CHP systems. Appl Energy 187 (2017), 169–179.
Le Blond, S.P., Aggarwal, R.K., Design of adaptive autoreclosure schemes for 132 kV network with high penetration of wind—Part I: real-time modeling. IEEE Trans Power Delivery 27 (2012), 1055–1062.
Zhao, B., Xue, M., Zhang, X., Wang, C., Zhao, J., An MAS based energy management system for a stand-alone microgrid at high altitude. Appl Energy 143 (2015), 251–261.
Avvari, G.V., Pattipati, B., Balasingam, B., Pattipati, K.R., Bar-Shalom, Y., Experimental set-up and procedures to test and validate battery fuel gauge algorithms. Appl Energy 160 (2015), 404–418.
