Abstract
Based on controlling the power quality of the 6.3kV power system of a coal mine in North China, a topology consist of Passive Power Filter (PPF), Thyristor Switched Capacitor (TSC) and Fixed Compensation Capacitor (FC) has been studied. Combining the thermodynamics modeling theory with network topology analysis method, the parameters of PPF, TSC and FC was proposed and optimized. Though there is a 5.th single tuning filter only, the measured results show that the average harmonic current injected into the power system completely accord with Chinese national standard GB/T-14549-93 and the power factor is increased to 0.99 without any possibility of over-compensation or under-compensation. Due to the action of the PPF the negative effect that caused by zero-voltage-switch of TSC was eliminated by proposed topology. The study of this paper gives the corner stone of theory and method for realizing smart grid system with Chinese characteristics.
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References
Zhang, W., Liu, Z., Wang, M., Yang, X.: Research Status and Development Trend of Smart Grid. Power System Technology 33(13), 1–11 (2009)
Chen, S., Song, S., Li, L., Shen, J.: Survey on Smart Grid Technology. Power System Technology 33(8), 1–7 (2009)
Zhang, B., Sun, H., Wu, W., Guo, Q.: Future Development of Control Center Technologies for Smart Grid. Automation of Electric Power Systems 33(17), 21–28 (2009)
Zhang, Q., Wang, X., Fu, M., Wang, J.: Smart Grid from the Perspective of Demand Response. Automation of Electric Power Systems 33(17), 48–54 (2009)
Lu, J., Xie, D., Ai, Q.: Research on Smart Grid in China. In: IEEE T&D Asia, pp. 1–4 (2009)
Ma, Y., Zhou, L., Tse, N., Osman, A., Lai, L.L.: An Initial Study on Computational Intelligence for Smart Grid. In: Proceedings of the Eighth International Conference on Machine Learning and Cybernetics, Baoding, July 12-15, pp. 3425–3429 (2009)
Yu, F., Yi, T., Xike, W.: Parameter Estimation Method of Power Quality Disturbances Based on Electrical Parameters Analysis. Proceedings of the CSEE 29(16), 100–107 (2009)
Zhang, W., Zhou, X., Bai, X., Tang, Y.: Countermeasures Against Sudden Events to Ensure the Security of Urban Power Supply Systems. Proceedings of the CSEE 28(22), 1–7 (2008)
Zhou, Z., Bai, X., Li, W., Li, Z., et al.: A Novel Smart On-line Fault Diagnosis and Analysis Approach of Power Grid Based on WAMS. Proceedings of the CSEE 29(13), 1–7 (2009)
Zhao, J., He, Z., Qian, Q.: Detection of Power Quality Disturbances Utilizing Generalized Morphological Filter and Difference-entropy. Proceedings of the CSEE 29(7), 121–127 (2009)
Zhao, W., Luo, A., Cao, Y., Yu, L.: Hybrid Var and Harmonic Dynamic Compensator and Application to Three-two Phase Traction Substation. Proceedings of the CSEE 29(28), 79–82 (2009)
Luo, A., Ou, J., Tang, J., Rong, F.: Research on Control Method of STATCOM for Grid Voltage Unbalance Compensation. Proceedings of the CSEE 29(6), 55–60 (2009)
Guo, W., Wu, J., Xu, D., Wang, L.: Hybrid Shunt Active Power Filter Based on Novel Sliding Mode Control. Proceedings of the CSEE 29(27), 29–35 (2009)
Wang, L., Xu, D., Miao, L., Guan, B.-L.: A Modeling Analysis of Passive Power Device and Influence Parameter Perturbation on Power System 25(10), 70–74 (2005)
Wang, L., Wang, Y., Xu, D., Fang, B., Liu, Q., Zou, J.: Application of HHT for Online Detecting the Inter-area Short Circuit of Rotor Windings of Wind-Generator Based on Thermodynamics Modeling Method. Journal of Power Electronics 11(5), 759–766 (2011)
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Wang, L., Liu, J., Zhang, S., Xu, D. (2013). Study on Controlling Power Quality Based on Thermodynamics Modeling Method for 6.3kV Power System. In: Li, K., Li, S., Li, D., Niu, Q. (eds) Intelligent Computing for Sustainable Energy and Environment. ICSEE 2012. Communications in Computer and Information Science, vol 355. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37105-9_1
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DOI: https://doi.org/10.1007/978-3-642-37105-9_1
Publisher Name: Springer, Berlin, Heidelberg
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