A Generalized Model and Control for Supermagnetic and Supercapacitor Energy Storage

Main Article Content

Walter Julián Gil González http://orcid.org/0000-0001-7609-1197
Alejandro Garcés
Andrés Escobar Mejía

Keywords

Electric energy storage systems, superconducting magnetic energy storage, EESS, SMES., linear matrix inequality, LMI, supercapacitor energy storage, SCES, superconducting magnetic energy storage, SMES

Abstract

This paper presents a generalized linear model based on LMI state-feedback with integral action, applicable to the control of Electric Energy Storage Systems (EESS) such as Superconducting Magnetic Energy Storage
(SMES) and Supercapacitor Energy Storage (SCES). A Voltage Source Converter (VSC) and a Pulse-Width modulated Current Source Converter (PWM-CSC) are respectively used to integrate the SCES and the SMES
systems to the electrical distribution system. To represent the dynamics between the EESS and the power distribution system a reduced general linear model in the state-space representation is introduced. The proposed control scheme regulates independently the active and reactive power ow between the EESS and ac the grid. Three case scenarios comparing a conventional PI controller and the proposed technique are conducted considering grid voltage uctuations. Extensive time-domain simulations demonstrate the robustness and proper performance of the proposed controller to operate the EESS as power compensator, in order to improve the operative conditions of electrical distribution systems. 

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References

[1] A. Ortega and F. Milano, “Generalized model of VSC-Based energy storage systems for transient stability analysis,” IEEE Trans. Power Syst., vol. 31, no. 5, pp. 3369–3380, Sept 2016.

[2] J. Fang, W. Yao, Z. Chen, J. Wen, and S. Cheng, “Design of anti-windup compensator for energy storage-based damping controller to enhance power system stability,” IEEE Trans. Power Syst., vol. 29, no. 3, pp. 1175–1185, May 2014.

[2] J. Fang, W. Yao, Z. Chen, J. Wen, and S. Cheng, “Design of anti-windup compensator for energy storage-based damping controller to enhance power system stability,” IEEE Trans. Power Syst., vol. 29, no. 3, pp. 1175–1185, May 2014.

[3] A. Pappachen and A. P. Fathima, “Load frequency control in deregulated power system integrated with SMESâ“TCPS combination using ANFIS controller,” Int. J. Electr. Power Energy Syst., vol. 82, pp. 519 – 534, Nov. 2016.

[4] M. Farahani and S. Ganjefar, “Solving LFC problem in an interconnected power system using superconducting magnetic energy storage,” Physica C, vol. 487, pp. 60 – 66, Apr. 2013.

[5] M. Rabbani, J. Devotta, and S. Elangovan, “Multi-mode wide range subsynchronous resonance stabilization using superconducting magnetic energy storage unit,” International Journal of Electrical Power & Energy Systems, vol. 21, no. 1, pp. 45 – 53, Jan. 1999.

[6] M.Farahani, “AnewcontrolstrategyofSMESformitigatingsubsynchronous oscillations,” Physica C, vol. 483, pp. 34 – 39, Dec. 2012.

[7] M. Farhadi and O. Mohammed, “Energy storage technologies for high-power applications,” IEEE Trans. Ind. Appl., vol. 52, no. 3, pp. 1953–1961, May 2016.

[8] M. H. Ali, B. Wu, and R. A. Dougal, “An overview of SMES applications in power and energy systems,” IEEE Trans. Sustainable Energy, vol. 1, no. 1, pp. 38–47, 2010.

[9] J. Shi, Y. Tang, K. Yang, L. Chen, L. Ren, J. Li, and S. Cheng, “SMES based dynamic voltage restorer for voltage fluctuations compensation,” IEEE Trans. Appl. Supercond., vol. 20, no. 3, pp. 1360–1364, 2010.

[10] E. Giraldo and A. Garces, “An adaptive control strategy for a wind energy conversion system based on pwm-csc and pmsg,” IEEE Trans. Power Systems, vol. 29, no. 3, pp. 1446–1453, May 2014.

[11] A. Rahim and E. Nowicki, “Supercapacitor energy storage system for fault ride-through of a DFIG wind generation system,” Energy Convers. Manage., vol. 59, pp. 96 – 102, 2012.

[12] S. Wang and J. Jin, “Design and analysis of a fuzzy logic controlled smes system,” IEEE Trans. Appl. Supercond., vol. 24, no. 5, pp. 1–5, Oct 2014.

[13] M. H. Ali, M. Park, I. K. Yu, T. Murata, and J. Tamura, “Improvement of wind-generator stability by fuzzy-logic-controlled smes,” IEEE Trans. Ind. Appl., vol. 45, no. 3, pp. 1045–1051, May 2009

[14] Jing Shi, Yuejin Tang, Li Ren, Jingdong Li, and Shijie Cheng, “Discretization-Based Decoupled State-Feedback Control for Current Source Power Conditioning System of SMES,” IEEE Trans. Power Delivery, vol. 23, no. 4, pp. 2097–2104, Oct 2008.

[15] J. Shi, L. Zhang, K. Gong, Y. Liu, A. Zhou, X. Zhou, Y. Tang, L. Ren, and J. Li, “Improved discretization-based decoupled feedback control for a seriesconnected converter of scc,” IEEE Trans. Appl. Supercond., vol. 26, no. 7, pp. 1–6, Oct 2016.

[16] A. D. Giorgio, F. Liberati, A. Lanna, A. Pietrabissa, and F. D. Priscoli, “Model predictive control of energy storage systems for power tracking and shaving in distribution grids,” IEEE Trans. Sustainable Energy, vol. 8, no. 2, pp. 496–504, April 2017.

[17] W. Gil-González, O. D. Montoya, A. Garcés, and A. Escobar-Mejía, “Supervisory LMI-based state-feedback control for current source power conditioning of SMES,” in 2017 Ninth Annual IEEE Green Technologies Conference (GreenTech), March 2017, pp. 145–150.

[18] M. Grant and S. Boyd, “CVX: Matlab software for disciplined convex programming, version 2.1,” Oct 2016. [Online]. Available: http://cvxr.com/cvx/

[19] W. Gil-González, O. D. Montoya, A. Garcés, and G. Espinosa-Pérez, “IDApassivity-based control for superconducting magnetic energy storage with PWM-CSC,” in 2017 Ninth Annual IEEE Green Technologies Conference (GreenTech), March 2017, pp. 89–95.

[20] S. Boyd, L. El Ghaoui, E. Feron, and V. Balakrishnan, Linear Matrix Inequalities in System and Control Theory, ser. Studies in Applied Mathematics. Philadelphia: SIAM, Jun 1994, vol. 15, ch. 1.

[21] E. Giraldo, Multivariable Control, 1st ed. Bergisch Gladbach: Scholar’s Press, 2016, ch. 2.

[22] S. Chapman, Electric Machinery Fundamentals, ser. Electric machinery fundamentals. McGraw-Hill Companies, Incorporated, 2005.