The role of risk modelling in the great Britain transmission planning and operational standards

C. J. Dent, K. R W Bell, A. W. Richards, S. Zachary, D. Eager, G. P. Harrison, J. W. Bialek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents three case studies of risk-based standards from Great Britain: the pre-liberalisation generation planning standard, the present method for setting operational reserve requirements, and the transmission network planning standard. These illustrate a number of key issues in developing planning and operational standards for wind, including: the benefits of risk-based standards in adapting to new circumstances; the importance of considering model assumptions carefully when interpreting risk calculations; the difficulty in calculating the cost of risk; and the need to account for uncertainty in system back-ground. The transmission network planning standard is studied in particular detail, especially how the present combination of deterministic and probabilistic sections might evolve for use in a future power system with a very high renewable penetration. © 2010 IEEE.

Original languageEnglish
Title of host publication2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
Pages325-330
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems - Singapore, Singapore
Duration: 14 Jun 201017 Jun 2010

Conference

Conference2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems
Abbreviated titlePMAPS 2010
CountrySingapore
CitySingapore
Period14/06/1017/06/10

Keywords

  • Power system operation
  • Power system planning
  • Power system reliability
  • Risk analysis
  • Wind energy

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    Dent, C. J., Bell, K. R. W., Richards, A. W., Zachary, S., Eager, D., Harrison, G. P., & Bialek, J. W. (2010). The role of risk modelling in the great Britain transmission planning and operational standards. In 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010 (pp. 325-330) https://doi.org/10.1109/PMAPS.2010.5528890