Abstract
The metro power supply system has a low power factor during low load rate operation. In order to save the investment of reactive compensation devices and compensate the reactive power for the metro medium voltage power supply network in the most reasonable and economical way, the reactive power optimization scheme based on the medium voltage energy feeding device is studied. The reactive power optimization model of the metro medium voltage power supply network is built and the particle swarm optimization (PSO) is used to solve the problem. In order to verify the proposed scheme, taking a metro medium voltage power supply line as an example, PSO is applied to reactive power optimization with the objective of minimizing active power loss. The simulation results show that the reactive power compensation based on the optimization results can effectively reduce the active power loss, which verifies the feasibility, rationality, and economy of the proposed scheme.
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References
Wang X (2006) Statement and development trend of reactive power compensation equipment. Appl Energy Technol 4:31–32 (in Chinese)
Zheng S, Yan H, Chen L et al (2013) Research on static VAR generator with direct current control strategy. In: Industrial electronics & applications. IEEE
Zhang G (2010) Study on key techniques of energy-fed traction power system for urban mass transit. Beijing Jiaotong University (in Chinese)
Smita P, Vaidya BN (2012) Particle Swarm Optimization based Optimal Power Flow for reactive loss minimization. In: Electrical, electronics & computer science. IEEE
Shuqin S, Bingren Z, Jun W et al (2013) Power system reactive power optimization based on adaptive particle; swarm optimization algorithm. In: World congress on intelligent control & automation. IEEE
Kiree C, Kumpanya D, Tunyasrirut S et al (2016) PSO-based optimal PI(D) controller design for brushless DC motor speed control with back emf detection. J Electr Eng Technol 11(3):715–723
Zhang G, Shao X, Li P et al (2009) An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem. Comput Ind Eng 56(4):1309–1318
Hou Y, Lu L, Xiong X et al (2004) Enhanced particle swarm optimization algorithm and its application on economic dispatch of power systems. Proc Chin Soc Electr Eng 24(7) (in Chinese)
He Y, Wen Z (2002) Power system analysis. Huazhong University of Science & Technology Press (in Chinese)
Acknowledgements
This work is supported by the National Key Research and Development Program (2017YFB1200802-17).
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Meng, L., Song, D., Chen, J., Mu, F., Liu, Z. (2020). Research on Reactive Power Optimization Scheme of Metro Medium Voltage Power Supply Network Based on the Medium Voltage Energy Feeding Device. In: Jia, L., Qin, Y., Liu, B., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019. EITRT 2019. Lecture Notes in Electrical Engineering, vol 638. Springer, Singapore. https://doi.org/10.1007/978-981-15-2862-0_27
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DOI: https://doi.org/10.1007/978-981-15-2862-0_27
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