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J. Mi, K. Sun, Z. Yang, F. Lin, Z. Zhong, "Coordinated Control of Multiple Wayside Energy Storage Systems Based on Fuzzy Logic Algorithm", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 7, Paper 14.2, 2024, doi:10.4203/ccc.7.14.2

Keywords: urban rail transit, regenerative braking energy recovery, multiple energy storage systems, fuzzy control, energy management strategy, energy flow.

Abstract

With the rapid development of urban rail transit, installing multiple wayside energy storage systems for regenerative braking energy recovery has become a hotspot. This paper analyses the energy flow in urban rail transit installing multiple energy storage systems in both short-time and long-time scales. Furthermore, a coordinated control strategy of multiple energy storage systems based on fuzzy logic algorithm is proposed to realize the adaptive adjustment of charging/discharging thresholds according to the traction network voltage and ESS operation state. Finally, a case study is conducted to verify the effectiveness of the proposed coordinated control strategy.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 7 PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 14.2 Coordinated Control of Multiple Wayside Energy Storage Systems Based on Fuzzy Logic Algorithm J. Mi, K. Sun, Z. Yang, F. Lin and Z. Zhong School of Electrical Engineering, Beijing Jiaotong University, China doi:10.4203/ccc.7.14.2 Full Bibliographic Reference for this paper J. Mi, K. Sun, Z. Yang, F. Lin, Z. Zhong, "Coordinated Control of Multiple Wayside Energy Storage Systems Based on Fuzzy Logic Algorithm", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 7, Paper 14.2, 2024, doi:10.4203/ccc.7.14.2 Keywords: urban rail transit, regenerative braking energy recovery, multiple energy storage systems, fuzzy control, energy management strategy, energy flow. Abstract With the rapid development of urban rail transit, installing multiple wayside energy storage systems for regenerative braking energy recovery has become a hotspot. This paper analyses the energy flow in urban rail transit installing multiple energy storage systems in both short-time and long-time scales. Furthermore, a coordinated control strategy of multiple energy storage systems based on fuzzy logic algorithm is proposed to realize the adaptive adjustment of charging/discharging thresholds according to the traction network voltage and ESS operation state. Finally, a case study is conducted to verify the effectiveness of the proposed coordinated control strategy. download the full-text of this paper (PDF, 13 pages, 948 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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