Identification of Weak Areas of Network Based on Exposure to Voltage Sags—Part II: Assessment of Network Performance Using Sag Severity Index

This paper presents a new stochastic approach to the comprehensive assessment of the impact of voltage sags on large-scale power networks. The approach takes into account the stochastic nature of power system operation, including load variation, uncertainty of fault clearing time by protection relays, fault rates of network components, and the variation/uncertainty in equipment sensitivity to voltage sags. A new duration zone division method is used to derive sag duration and occurrence frequency based on the stochastic distribution of clearing time required by specific protection systems. The adopted probabilistic representation facilitates estimation of network performance based on a single-event characteristic, sag severity index (SSI), developed in the companion paper (Part I). Based on SSI, a new single-site index with respect to voltage sags (bus performance index BPIS) is developed to comprehensively represent the overall bus performance with respect to voltage sags. The index is used to identify the areas of the network, called weak areas of the network in this paper, containing buses that are most exposed to potentially disruptive voltage sags. The application, robustness, and sensitivity of BPIS are thoroughly analyzed and discussed in the paper.

[1]  J.M. de Carvalho Filho,et al.  Voltage Sags: Validating Short-Term Monitoring by Using Long-Term Stochastic Simulation , 2009, IEEE Transactions on Power Delivery.

[2]  R. S. Thallam,et al.  Voltage-sag indices - recent developments in IEEE PI564 task force , 2003, CIGRE/IEEE PES International Symposium Quality and Security of Electric Power Delivery Systems, 2003. CIGRE/PES 2003..

[3]  Irene Yu-Hua Gu,et al.  Signal processing of power quality disturbances , 2006 .

[4]  J.A. Martinez,et al.  Voltage sag studies in distribution networks - part II: voltage sag assessment , 2006, IEEE Transactions on Power Delivery.

[5]  T.T. Lie,et al.  System voltage sag performance estimation , 2005, IEEE Transactions on Power Delivery.

[6]  S.Z. Djokic,et al.  A new method for classification and presentation of voltage reduction events , 2005, IEEE Transactions on Power Delivery.

[7]  Jovica V. Milanovic,et al.  Advanced voltage sag characterisation ii: point on wave , 2007 .

[8]  M. Waclawiak,et al.  Indices for assessing utility distribution system RMS variation performance , 1998 .

[9]  M. Lehtonen,et al.  A Method for Estimating the Frequency and Cost of Voltage Sags , 2002, IEEE Power Engineering Review.

[10]  D. Karlsson,et al.  Stochastic assessment of voltage dips (Sags): The method of fault positions versus a Monte Carlo simulation approach , 2005, 2005 IEEE Russia Power Tech.

[11]  J.V. Milanovic,et al.  Stochastic prediction of voltage sags by considering the probability of the failure of the protection system , 2006, IEEE Transactions on Power Delivery.

[12]  J.P.G. Abreu,et al.  Comparative analysis between measurements and simulations of voltage sags , 2002, 10th International Conference on Harmonics and Quality of Power. Proceedings (Cat. No.02EX630).

[13]  R.C. Leborgne,et al.  Sensitivity analysis of stochastic assessment of voltage dips , 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..

[14]  J.P.G. de Abreu,et al.  Validation of Voltage Sag Simulation Tools: ATP and Short-Circuit Calculation Versus Field Measurements , 2008, IEEE Transactions on Power Delivery.

[15]  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).

[16]  Jovica V Milanović,et al.  Risk-Based Assessment of Financial Losses Due to Voltage Sag , 2011, IEEE Transactions on Power Delivery.

[17]  Math Bollen,et al.  Stochastical and statistical assessment of voltage dips , 1998 .

[18]  J.V. Milanovic,et al.  Voltage sag cost reduction with optimally placed FACTS devices , 2007, 2007 9th International Conference on Electrical Power Quality and Utilisation.

[19]  Math Bollen,et al.  Stochastic assessment of unbalanced voltage dips in large transmission systems , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[20]  D. Koval,et al.  Proposed chapter 9 for predicting voltage sags (dips) in revision to IEEE Std 493, the Gold Book , 1993, Conference Record Industrial and Commercial Power Systems Technical Conference 1993.

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

[22]  V.J. Gosbell,et al.  A new SAIFI based voltage sag index , 2008, 2008 13th International Conference on Harmonics and Quality of Power.

[23]  C.J. Melhorn,et al.  Voltage sags: their impact on the utility and industrial customers , 1996, Proceedings of 1996 IAS Industrial and Commercial Power Systems Technical Conference.

[24]  J.V. Milanovic,et al.  Probabilistic assessment of financial losses due to interruptions and voltage sags-part I: the methodology , 2006, IEEE Transactions on Power Delivery.

[25]  R. Billinton,et al.  Protection System Modelling in a Probabilistic Assessment of Transient Stability , 1981, IEEE Transactions on Power Apparatus and Systems.

[26]  Math Bollen,et al.  Understanding Power Quality Problems: Voltage Sags and Interruptions , 1999 .

[27]  Jovica V. Milanovic,et al.  Advanced voltage sag characterisation. Part I: Phase shift , 2006 .

[28]  J.V. Milanovic,et al.  Probabilistic assessment of financial losses due to interruptions and voltage sags - part II: practical implementation , 2006, IEEE Transactions on Power Delivery.

[29]  S.Z. Djokic,et al.  Shortfalls of existing methods for classification and presentation of voltage reduction events , 2005, IEEE Transactions on Power Delivery.

[30]  R. Billinton,et al.  Stochastic evaluation of voltage sag and unbalance in transmission systems , 2005, IEEE Transactions on Power Delivery.

[31]  C. Grigg,et al.  Predicting and preventing problems associated with remote fault clearing voltage dips , 1989, Conference Record. Industrial and Commercial Power Systems Technical Conference.

[32]  Edson Guedes da Costa,et al.  Voltage Sag Performance of a Distribution System and Its Improvement , 2011, IEEE Transactions on Industry Applications.