access icon free Multi-attribute analysis on voltage sag insurance mechanisms and their feasibility for sensitive customers

© The Institution of Engineering and Technology
Received 05/01/2018, Accepted 13/06/2018, Revised 03/05/2018, Published 16/07/2018

Nowadays, more and more high-tech enterprises pay great attention to the enormous losses and risks caused by voltage sag. There is an urgent desire for voltage sag insurance. However, a feasible insurance mechanism is not yet available. Relationships among stakeholders (customers, insurance institution, power utility and government) are studied based on the analysis of insurability of voltage sag loss risk, and three possible voltage sag insurance mechanisms are proposed. Multi-objective two-stage decision-making method is introduced to combine the expectations of attributes of mechanisms for different stakeholders; the proposed method can simplify the fuzziness and the complexity of evaluating the process. This method combines the integrating scattered information into effective evaluation information, and it can reflect the recognition of different mechanisms by all the stakeholders objectively. This method can determine voltage sag insurance mechanisms, which are with the high feasibility to satisfy the requirement of all the stakeholders and to make sure all attributes are in good condition. Finally, the results of case studies for three high-tech customers located in the high-tech park have proved the correctness and rationality of the recommended insurance mechanism.

Inspec keywords: power markets; risk management; decision making; power supply quality; insurance

Other keywords: voltage sag loss risk; effective evaluation information; integrating scattered information; voltage sag insurance mechanisms; insurability analysis; multiobjective two-stage decision-making method; multiattribute analysis; high-tech park

Subjects: Power system management, operation and economics; Power supply quality and harmonics

References

    1. 1)
      • 23. Wang, Y., Bollen, M.H.J., Xiao, X.Y.: ‘Calculation of the phase-angle-jump for voltage dips in three-phase systems’, IEEE Trans. Power Deliv., 2015, 30, (1), pp. 480–487.
    2. 2)
      • 8. Xiao, X.Y., Ma, Y.Q., Zhang, Y., et al: ‘Premium power valuation method based on customer perception of utility for high-technology manufacturing customers’, IEEE Trans. Power Deliv., 2016, 31, (4), pp. 1655–1662.
    3. 3)
      • 6. Somayajula, D., Crow, M.L.: ‘An integrated dynamic voltage restorer-ultracapacitor design for improving power quality of the distribution grid’, IEEE Trans. Sustain. Energy, 2015, 6, (2), pp. 616–624.
    4. 4)
      • 24. Bollen, M.H.J., Cundeva, S., Gordon, J.M.R.: ‘Voltage dip immunity aspects of power-electronics equipment-recommendations from CIGRE/CIRED/UIE JWG C4.110’. Presented at 14th Int. Conf. Power Electronics and Motion Control Conf., Lisbon, Portugal, 2010, pp. 17–24.
    5. 5)
      • 34. Dorr, D.S.: ‘Point of utilization power quality study results’, IEEE Trans. Ind. Appl., 1995, 31, (4), pp. 658–666.
    6. 6)
      • 21. Heine, P., Lehtonen, M.: ‘Voltage sag distributions caused by power system faults’, IEEE Trans. Power Syst., 2003, 18, (4), pp. 1367–1373.
    7. 7)
      • 19. Dahlström, K., Skea, J., Stahel, W.R.: ‘Innovation, insurability and sustainable development: sharing risk management between insurers and the state’, Geneva Pap. Risk Insur. Issues Pract., 2003, 28, (3), pp. 394–412.
    8. 8)
      • 28. Elphick, S., Smith, V.: ‘The 230 V CBEMA curve – preliminary studies’. 2010 20th Australasian Universities Power Engineering Conf., Christchurch, 2010, pp. 1–6.
    9. 9)
      • 26. Semiconductor Equipment and Materials International: ‘Specification for semiconductor processing equipment voltage sag immunity’, SEMI Std. F47-0200, San Jose, CA, 2000.
    10. 10)
      • 20. IEEE Standard 1159. IEEE recommended practice for monitoring electric power quality, 1995.
    11. 11)
      • 27. Thallam, R.S., Heydt, G.T.: ‘Power acceptability and voltage sag indices in the three phase sense’. IEEE Power Engineering Society Summer Meeting, Seattle, WA, USA, July 2000, vol. 2, pp. 905–910.
    12. 12)
      • 35. Bollen, M.H.J.: ‘Understanding power quality problems: voltage sags and interruptions’ (Wiley-IEEE Press, Piscataway, NJ, USA, 1999).
    13. 13)
      • 5. Chan, J.Y., Milanovic, J.V.: ‘Assessment of the economic value of voltage sag mitigation devices to sensitive industrial plants’, IEEE Trans. Power Deliv., 2015, 30, (6), pp. 2374–2382.
    14. 14)
      • 2. Milanovic, J.V., Gupta, C.P.: ‘Probabilistic assessment of financial losses due to interruptions and voltage sags – part I: the methodology’, IEEE Trans. Power Deliv., 2006, 21, (2), pp. 918–924.
    15. 15)
      • 22. Bollen, M.H.J., Das, R., Djokic, S., et al: ‘Power quality concerns in implementing smart distribution-grid applications’, IEEE Trans. Smart Grid, 2016, 8, (1), pp. 391–399.
    16. 16)
      • 13. Cavalcanti, M.C., Limongi, L.R., Gomes, M.D.B., et al: ‘Eight-switch power conditioner for current harmonic compensation and voltage sag mitigation’, IEEE Trans. Ind. Electron., 2015, 62, (8), pp. 4655–4664.
    17. 17)
      • 32. Ogasawara, E., Martinez, L.C., Oliveira, D.D., et al: ‘Adaptive normalization: a novel data normalization approach for non-stationary time series’. Int. Joint Conf. Neural Networks, Barcelona, 2010, vol. 54, no. 1, pp. 1–8.
    18. 18)
      • 31. Zhou, C., Wu, W., Wu, C.: ‘Optimal insurance in the presence of insurer's loss limit’, Insur. Math. Econ., 2010, 46, (2), pp. 300–307.
    19. 19)
      • 4. Chan, J.Y., Milanovic, J.V., Delahunty, A.: ‘Generic failure-risk assessment of industrial processes due to voltage sags’, IEEE Trans. Power Deliv., 2009, 24, (4), pp. 2405–2414.
    20. 20)
      • 30. CIGRE/CIRED/UIE Joint Working Group C4.110: ‘Voltage dip immunity of equipment and installations’ (CIGRE, Paris, France, 2010).
    21. 21)
      • 33. Conrad, L.E., Bollen, M.H.J.: ‘Voltage sag coordination for reliable plant operation’, IEEE Trans. Ind. Appl., 1997, 33, (6), pp. 1459–1464.
    22. 22)
      • 10. Cebrian, J.C., Milanovic, J.V., Kagan, N.: ‘Probabilistic assessment of financial losses in distribution network due to fault-induced process interruptions considering process immunity time’, IEEE Trans. Power Deliv., 2015, 30, (3), pp. 1478–1486.
    23. 23)
      • 14. Jothibasu, S., Mishra, M.K.: ‘An improved direct AC–AC converter for voltage sag mitigation’, IEEE Trans. Ind. Electron., 2015, 62, (1), pp. 21–29.
    24. 24)
      • 18. Ye, Y., Yao, N., Wang, Q., et al: ‘A method of ranking interval numbers based on degrees for multiple attribute decision making’, J. Intell. Fuzzy Syst., 2015, 31, (1), pp. 211–221.
    25. 25)
      • 25. Jones, R.N., Preston, B.L.: ‘Adaptation and risk management’, Wiley Interdiscip. Rev. Clim. Change, 2015, 2, (2), pp. 296–308.
    26. 26)
      • 7. Milanovic, J.V., Zhang, Y.: ‘Global minimization of financial losses due to voltage sags with FACTS based devices’, IEEE Trans. Power Deliv., 2010, 25, (1), pp. 298–306.
    27. 27)
      • 36. Kwadjo, A.A., Andoh, C., Abor, J.: ‘Evaluating the cost efficiency of insurance companies in Ghana’, J. Risk Financ., 2012, 13, (1), pp. 61–76.
    28. 28)
      • 17. Li, C.S., Chen, Y.Z., Xiao, X.Y., et al: ‘Quantitative analysis on insurance mechanisms for voltage sag’, Autom. Electr. Power Syst., 2017, 41, (14), pp. 99–104(in Chinese).
    29. 29)
      • 12. Wang, X., Li, C.H., Li, H.Q.: ‘Economic losses risk assessment of industrial users due to voltage sags based on uncertainty of process immunity’. IEEE PES Asia-Pacific Power and Energy Engineering Conf., Xi'an, 2016, pp. 1139–1142.
    30. 30)
      • 29. Kunreuther, H.C., Michel-Kerjan, E.O.: ‘Risk transfer and insurance: insurability concepts and programs for covering extreme events’, in Voeller, J.G. (Ed.): ‘Wiley Handbook of Science and Technology for Homeland Security’ (John Wiley & Sons, Inc., Hoboken, NJ, USA, 2008), pp. 207–222.
    31. 31)
      • 15. Dettloff, A., Sabin, D.: ‘Power quality performance component of the special manufacturing contracts between power provider and customer’. Int. Conf. Harmonics and Quality of Power, Orlando, 2000.
    32. 32)
      • 9. Patne, N.R., Thakre, K.L.: ‘Effect of transformer type on estimation of financial loss due to voltage sag – PSCAD/EMTDC simulation study’, IET Gener. Transm. Distrib., 2010, 4, (1), pp. 104–114.
    33. 33)
      • 1. CIGRE/CIRED Joint Working Group C4.107: ‘Economic framework for power quality’ (CIGRE/CIRED, Paris, France, 2011).
    34. 34)
      • 3. Chan, J.Y., Milanovic, J.V., Delahunty, A.: ‘Risk-based assessment of financial losses due to voltage sag’, IEEE Trans. Power Deliv., 2011, 26, (2), pp. 492–500.
    35. 35)
      • 11. Li, S., Li, Y., Cao, Y., et al: ‘Capacity optimisation method of distribution static synchronous compensator considering the risk of voltage sag in high-voltage distribution networks’, IET Gener. Transm. Distrib., 2015, 9, (16), pp. 2602–2610.
    36. 36)
      • 16. Cajamarca, G., Torres, H., Pavas, A., et al: ‘A methodological proposal for the estimation of optimal power levels’. Power Systems Conf. and Exposition, Atlanta, 2006.
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