Accounting for uncertainties due to high-impact low-probability events in power system development

Abstract In the long-term development of the electric power system, system operators should consider the socio-economic balance between grid investment costs and security of supply, including the risk of power supply interruptions. Cost-benefit analyses conducted for this purpose are associated with many uncertainties but have traditionally focused on the expected value of the net socio-economic benefits of risk-reducing measures. This article focuses on the large uncertainties that are associated with the possible occurrence of high-impact low-probability interruption events (HILP events). The objective is to quantify and visualize the implications of uncertainties due to HILP events in the context of power system development. More specifically, this article describes a methodology accounting for uncertainties in socio-economic cost-benefit analysis of measures for reducing the risk of HILP events. The methodology accounts for the contributions of both aleatory and epistemic uncertainties and comprises a hybrid probabilistic-possibilistic uncertainty analysis method. Applying the methodology to a real case involving a grid investment decision, it is demonstrated how it provides additional insight compared to conventional cost-benefit analyses considering expected values where uncertainties are not accounted for explicitly. It is furthermore discussed how these results can help to better inform grid development decisions.

[1]  Thierry Marchant,et al.  Evaluation and Decision Models: A Critical Perspective , 2000 .

[2]  Jovica V. Milanovic,et al.  Existing approaches and trends in uncertainty modelling and probabilistic stability analysis of power systems with renewable generation , 2019, Renewable and Sustainable Energy Reviews.

[3]  Iver Bakken Sperstad,et al.  A comprehensive framework for vulnerability analysis of extraordinary events in power systems , 2020, Reliab. Eng. Syst. Saf..

[4]  Terje Aven,et al.  A comparison between a probability bounds analysis and a subjective probability approach to express epistemic uncertainties in a risk assessment context - A simple illustrative example , 2018, Reliab. Eng. Syst. Saf..

[5]  Ralph C. Smith,et al.  Uncertainty Quantification: Theory, Implementation, and Applications , 2013 .

[6]  Amin Abedi,et al.  Review of major approaches to analyze vulnerability in power system , 2019, Reliab. Eng. Syst. Saf..

[7]  Enrico Zio,et al.  Uncertainties in smart grids behavior and modeling: What are the risks and vulnerabilities? How to analyze them? , 2011 .

[8]  Enrico Zio,et al.  Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods , 2013 .

[9]  Xiaofu Xiong,et al.  Power System Risk Assessment Using a Hybrid Method of Fuzzy Set and Monte Carlo Simulation , 2008 .

[10]  K. Samdal,et al.  Customer Costs Related to Interruptions and Voltage Problems: Methodology and Results , 2008, IEEE Transactions on Power Systems.

[11]  Ettore Francesco Bompard,et al.  Classification and trend analysis of threats origins to the security of power systems , 2013 .

[12]  Emil Hillberg Perception, Prediction and Prevention of Extraordinary Events in the Power System , 2016 .

[13]  Iver Bakken Sperstad,et al.  Probabilistic socio-economic cost assessment integrating power market and reliability analysis , 2018, 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).

[14]  Edoardo Patelli,et al.  Assessment of power grid vulnerabilities accounting for stochastic loads and model imprecision , 2018, International Journal of Electrical Power & Energy Systems.

[15]  A. Rezaee Jordehi,et al.  How to deal with uncertainties in electric power systems? A review , 2018, Renewable and Sustainable Energy Reviews.

[16]  구본희,et al.  International Conference on Probabilistic Methods Applied to Power Systems(PMAPS 2010)참관기 , 2010 .

[17]  Francisco Santamaria,et al.  Analysis of major blackouts from 2003 to 2015: Classification of incidents and review of main causes , 2016 .

[18]  K. Uhlen,et al.  Decision support for network operation in an open power market , 2004, 2004 International Conference on Probabilistic Methods Applied to Power Systems.

[19]  Enrico Zio,et al.  Industrial disasters: Extreme events, extremely rare. Some reflections on the treatment of uncertainties in the assessment of the associated risks , 2013 .

[20]  Sigurd H. Jakobsen,et al.  Interruption costs and time dependencies in quality of supply regulation , 2014, 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).

[21]  Seth D. Guikema,et al.  Risk assessment under deep uncertainty: A methodological comparison , 2017, Reliab. Eng. Syst. Saf..

[22]  Jiashen Teh,et al.  Uncertainty Analysis of Transmission Line End-of-Life Failure Model for Bulk Electric System Reliability Studies , 2018, IEEE Transactions on Reliability.

[23]  Mahmud Fotuhi-Firuzabad,et al.  A comprehensive review on uncertainty modeling techniques in power system studies , 2016 .

[24]  Terje Aven,et al.  The role of social cost-benefit analysis in societal decision-making under large uncertainties with application to robbery at a cash depot , 2009, Reliab. Eng. Syst. Saf..

[25]  D. Eager,et al.  The role of risk modelling in the Great Britain transmission planning and operational standards , 2010, 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems.

[26]  Han Slootweg,et al.  Development and application of a cost-benefit framework for energy reliability using probabilistic methods in network planning and regulation to enhance social welfare : the N-1 rule , 2010 .

[27]  Yacov Y. Haimes,et al.  Risk of Extreme Events and the Fallacy of Expected Value , 2005 .

[28]  Alireza Soroudi,et al.  Decision making under uncertainty in energy systems: state of the art , 2013, ArXiv.

[29]  C.W. Taylor,et al.  The anatomy of a power grid blackout - Root causes and dynamics of recent major blackouts , 2006, IEEE Power and Energy Magazine.