Abstract：With the wide application of sensitive equipment in power system, the requirement of power customers for better power quality is rising. The voltage dip assessment is becoming an important content of power quality study. In this paper, a stochastic assessment method of voltage dip with adding a virtual bus in the fault position is proposed. The remaining voltage expression of each bus is derived after a balanced or unbalanced fault taking place in any position of the complex power grid. The areas of vulnerability are calculated under different fault types. Considering the fault zone according to the remaining voltage amplitude range and the fault distribution probability, the voltage dip times per year of each bus is calculated. The validity of the proposed voltage dip assessment method is proved in the standard IEEE-30 bus system.
王东旭, 乐健, 刘开培, 仰彩霞, 沈广. 基于虚拟节点的复杂电网电压跌落随机评估方法[J]. 电工技术学报, 2011, 26(8): 190-197.
Wang Dongxu, Le Jian, Liu Kaipei, Yang Caixia, Shen Guang. Stochastic Assessment Method of Voltage Dip in Complex Power Grid Based on Virtual Bus. Transactions of China Electrotechnical Society, 2011, 26(8): 190-197.
[1] Vegunta S C, Milaniovic J V. Estimation of cost of downtime of industrial processes due to voltage sags[C]. 2009 20th International Conference and Exhibition on Electricity Distribution, 2009: 1-4. [2] 周明, 张彪, 李庚银, 等. 基于质量工程理论的电压骤降经济评估[J]. 电工技术学报, 2007, 22(12): 152-158. Zhou Ming, Zhang Biao, Li Gengyin, et al. Economic assessment of voltage sags based on quality engineering theory[J]. Transactions of China Electrotechnical Society, 2007, 22(12): 152-158. [3] Hiyama T, Hirowatari T. Long term monitoring of voltage sags at 6. 6 kV distribution substation[C]. Proceedings of International Conference on Power System Technology, 2000: 995-1000. [4] Gahrooyi Y R, Golkar M A. Voltage sag estimation in radial distribution systems with limited monitoring points[C]. ICEE '07, International Conference on Electrical Engineering, 2007: 1-4. [5] 王宾, 潘贞存, 徐文远. 配电系统电压跌落幅值估算分析[J]. 中国电机工程学报, 2005, 25(13): 29-34. Wang Bin, Pan Zhencun, Xu Wenyuan. Voltage sags profile estimation for power distribution systems[J]. Proceedings of the CSEE, 2005, 25(13): 29-34. [6] Bollen M H J. Method of critical distances for stochastic assessment of voltage sags[J]. IEE Proceedings-Generation, Transmission and Distribution, 1998, 145(1): 70-76. [7] Bollen M H J. Additions to the method of critical distances for stochastic assessment of voltage sags[C]. IEEE Power Engineering Society 1999 Winter Meeting, 1999: 1241-1246. [8] Matinez J A, Martin-Arnedo J. Voltage sag studies in distribution networks-part II: voltage sag assessment[J]. IEEE Transactions on Power Delivery, 2006, 21(3): 1679-1688. [9] Matinez J A, Martin Arnedo J. Voltage sag studies in distribution networks-part III: voltage sag index calculation[J]. IEEE Transactions on Power Delivery, 2006, 21(3): 1689-1697. [10] Milanovic J V, Myo T A, Gupta C P. The influence of fault distribution on stochastic prediction of voltage sags[J]. IEEE Transactions on Power Delivery, 2005, 20(1): 278-285. [11] Moschakis M N, Hatziargyriou N D. Analytical calculation and stochastic assessment of voltage sags[J]. IEEE Transactions on Power Delivery, 2006, 21(3): 1727-1734. [12] Olguin G, Aedo M, Arias M, et al. A monte carlo simulation approach to the method of fault positions for stochastic assessment of voltage dips (sags)[C]. Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES, 2005: 1-6. [13] Juarez Elisa Espinosa, Hernandez Araceli. An analytical approach for stochastic assessment of balanced and unbalanced voltage sags in large system[J]. IEEE Transactions on Power Delivery, 2006, 21(3): 1493-1500. [14] IEEE 30-Bus Test Case. [Online]. Available: http: //www.ee.washington.edu/research/pstca/pf30/pg_tca30bus. htm [15] Lim P K, Dorr D S. Understanding and resolving voltage sag related problems for sensitive industrial customers[C]. IEEE Power Engineering Society Winter Meeting, 2000: 2886-2890.
2011, Vol. 26 
