Voltage Sag Assessment Based on the Interval Characteristic of Customer Satisfaction

An analytical voltage sag assessment method is proposed considering the interval characteristic of customer satisfaction degree. Based on the relationship between fault line length and voltage amplitude, the critical fault position can be determined by iterative algorithm and the customer un-satisfaction area in the power supply system is determined also. Due to the interval characteristic of customer satisfaction degree, the frequency of voltage sags at given buss can be assessed by the un-satisfaction area. The proposed method has been applied to a five-buss system and IEEE 30-buss RTS and compared with existing methods. The results show that the new method is credible and correct and with practical foreground.

[1]  J.V. Milanovic,et al.  Sensitivity of AC adjustable speed drives to voltage sags and short interruptions , 2005, IEEE Transactions on Power Delivery.

[2]  Jovica V. Milanovic,et al.  Closure on “ Sensitivity of Personal Computers to Voltage Sags and Short Interruptions” , 2005 .

[3]  Bob Saint,et al.  Rural distribution system planning using Smart Grid Technologies , 2009, 2009 IEEE Rural Electric Power Conference.

[4]  Chang-Hyun Park,et al.  Stochastic Estimation of Voltage Sags in a Large Meshed Network , 2007, IEEE Transactions on Power Delivery.

[5]  Xiao Xiangning,et al.  Study on Distribution Reliability Considering Voltage Sags and Acceptable Indices , 2007, IEEE Transactions on Power Delivery.

[6]  E.E. Juarez,et al.  An analytical approach for stochastic assessment of balanced and unbalanced voltage sags in large systems , 2006, IEEE Transactions on Power Delivery.

[7]  Xiao Xiang-ning.  Analysis of New Method on Power Quality Comprehensive Evaluation for Regional Grid , 2008 .

[8]  S.Z. Djokic,et al.  Sensitivity of AC coil contactors to voltage sags, short interruptions, and undervoltage transients , 2004, IEEE Transactions on Power Delivery.

[9]  J.V. Milanovic,et al.  Sensitivity of personal computers to voltage sags and short interruptions , 2005, IEEE Transactions on Power Delivery.

[10]  J.V. Milanovic,et al.  Probabilistic assessment of equipment trips due to voltage sags , 2006, IEEE Transactions on Power Delivery.

[11]  Steven E. Collier,et al.  Ten steps to a smarter grid , 2009, 2009 IEEE Rural Electric Power Conference.

[12]  Wang Shou-xiang.  A NOVEL INTERVAL METHOD FOR RELIABILITY EVALUATION OF LARGE SCALE DISTRIBUTION SYSTEM , 2004 .

[13]  Xu Wen-yuan.  VOLTAGE SAGS PROFILE ESTIMATION FOR POWER DISTRIBUTION SYSTEMS , 2005 .

[14]  Math Bollen.  Method of critical distances for stochastic assessment of voltage sags , 1998 .

[15]  J.A. Martinez,et al.  Voltage sag stochastic prediction using an electromagnetic transients program , 2004, IEEE Transactions on Power Delivery.

[16]  Zhao Bo.  Haar Wavelet-Based Modified Phasor to Detect and Quantify Power Quality Disturbances , 2006 .

[17]  Math Bollen,et al.  Stochastic prediction of voltage sags in a large transmission system , 1998, 1998 IEEE Industrial and Commercial Power Systems Technical Conference. Conference Record. Papers Presented at the 1998 Annual Meeting (Cat. No.98CH36202).

[18]  Zhang Chi.  Interval Algorithm for Power Flow Calculation with Uncertain Load , 2004 .

[19]  Math Bollen,et al.  Fast assessment methods for voltage sags in distribution systems , 1995, IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting.