Influence of extreme weather and climate change on the resilience of power systems: Impacts and possible mitigation strategies

Campbell, 2012

Kenward, 2014

Witt Associates, 2011

Executive Office of the President, 2013

Intergovernmental Panel on Climate Change (IPCC), 2012

UK Energy Research Center (UKERC), 2009

UK Energy Research Center (UKERC), 2009

Power Systems Engineering Center (PSERC), 2012

National Infrastructure Advisory Council (NIAC), 2010

Cabinet Office, 2011

The National Association of Regulatory Utility Commissioners (NARUC), 2013

DNV GL, 2014

Panteli, 2015, The grid: stronger, bigger, smarter?: Presenting a conceptual framework of power system resilience, IEEE Power Energy Mag., 13, 58, 10.1109/MPE.2015.2397334

Ward, 2013, The effect of weather on grid systems and the reliability of electricity supply, Clim. Change, 121, 103, 10.1007/s10584-013-0916-z

Knight, 2001

Bruch, 2011

Shafieezadeh, 2014, Age-dependent fragility models of utility wood poles in power distribution networks against extreme wind hazards, IEEE Trans. Power Deliv., 29, 131, 10.1109/TPWRD.2013.2281265

Asian Development Bank, 2012

National Grid Electricity Transmission PLC, 2010

Energy Networks Association, 2011

VTT, 2007

Beard, 2010, Key technical challenges for the electric power industry and climate change, IEEE Trans. Energy Convers., 25, 465, 10.1109/TEC.2009.2032578

Northern PowerGrid, 2013

Univ. of Cambridge and World Energy Council, 2013

Schaeffer, 2012, Energy sector vulnerability to climate change: a review, Energy, 38, 1, 10.1016/j.energy.2011.11.056

Mirasgedis, 2007, Modelling framework for estimating impacts of climate change on electricity demand at regional level: case of Greece, Energy Convers. Manag., 48, 1737, 10.1016/j.enconman.2006.10.022

Ruth, 2006, Regional energy demand and adaptations to climate change: methodology and application to the state of Maryland USA, Energy Policy, 34, 2820, 10.1016/j.enpol.2005.04.016

Sailor, 1997, Sensitivity of electricity and natural gas consumption to climate in the U.S.A. – methodology and results for eight states, Energy, 22, 987, 10.1016/S0360-5442(97)00034-0

Parkpoom, 2008, Analyzing the impact of climate change on future electricity demand in Thailand, IEEE Trans. Power Syst., 23, 1441, 10.1109/TPWRS.2008.922254

Parkpoom, 2004, Climate change impacts on electricity demand

Gaver, 1964, Power system reliability I – measures of reliability and methods of calculation, IEEE Trans. Power App. Syst., 83, 727, 10.1109/TPAS.1964.4766068

Billinton, 1968, Transmission system reliability evaluation using Markov processes, IEEE Trans. Power App. Syst. PAS-87, 538, 10.1109/TPAS.1968.292051

Billinton, 2002, Extreme adverse weather modelling in transmission and distribution system reliability evaluation

Bhuiyan, 1994, Inclusion of weather effects in composite system reliability evaluation using sequential simulation, IEE Proc. Gener. Transm. Distrib., 141, 575, 10.1049/ip-gtd:19941573

Billinton, 2002, Reliability assessment of transmission and distribution systems considering repair in adverse weather conditions

Liu, 2010, Reliability evaluation of composite power systems using Markov cut-set method, IEEE Trans. Power Syst., 25, 777, 10.1109/TPWRS.2009.2033802

Billinton, 1996

Billinton, 1991, A novel method for incorporating weather effects in composite system adequacy evaluation, IEEE Trans. Power Syst., 6, 1154, 10.1109/59.119260

Billinton, 1986, Incorporation of weather effects in transmission system models for composite system adequacy evaluation, IEE Proc. Gener. Transm. Distrib., 133, 319, 10.1049/ip-c.1986.0047

Billinton, 2006, Application of adverse and extreme adverse weather: modelling in transmission and distribution system reliability evaluation, IEE Proc. Gener. Transm. Distrib., 153, 115, 10.1049/ip-gtd:20045058

IEEE, 1973

Billinton, 2005, Consideration of multi-state weather models in reliability evaluation of transmission and distribution systems

Mensah, 2014, Outage predictions of electric power systems under hurricane winds by Bayesian networks

Zhou, 2006, Modelling weather-related failures of overhead distribution lines, IEEE Trans. Power Syst., 21, 1683, 10.1109/TPWRS.2006.881131

Liu, 2010, Evaluation of hurricane impact on composite power system reliability considering common-cause failures, Int. J. Syst. Assur. Eng. Manag., 1, 135, 10.1007/s13198-010-0024-7

Liu, 2011, A methodology for evaluation of hurricane impact on composite power system reliability, IEEE Trans. Power Syst., 26, 145, 10.1109/TPWRS.2010.2050219

Islam, 2009

Rios, 2002, Value of security: modelling time-dependent phenomena and weather conditions, IEEE Trans. Power Syst., 17, 543, 10.1109/TPWRS.2002.800872

Wang, 2002, Reliability cost/worth assessment of distribution systems incorporating time-varying weather conditions and restoration resources, IEEE Trans. Power Deliv., 17, 260, 10.1109/61.974216

Alvehag, 2008, A stochastic weather dependent reliability model for distribution systems

Alvehag, 2011, A reliability model for distribution systems incorporating seasonal variations in severe weather, IEEE Trans. Power Deliv., 26, 910, 10.1109/TPWRD.2010.2090363

Schlapfer, 2011, Probabilistic modelling and simulation of transmission line temperatures under fluctuating power flows, IEEE Trans. Power Deliv., 26, 2235, 10.1109/TPWRD.2011.2145394

Li, 2014, Risk analysis for distribution systems in the northeast U.S. under wind storms, IEEE Trans. Power Syst., 29, 889, 10.1109/TPWRS.2013.2286171

Panteli, 2015, Modelling and evaluating the resilience of critical electrical power infrastructure to extreme weather events, early access article, IEEE Syst. J., 10.1109/JSYST.2015.2389272

Barben, 2010

Marano, 2008, Stochastic approach for analytical fragility curves, KSCE J. Civil Eng., 12, 305, 10.1007/s12205-008-0305-8

Resilient Electricity Networks for Great Britain (RESNET). Available from: http://www.ncl.ac.uk/ceser/researchprogramme/systemsmodelling/resnetresilientelectricitynetworks (accessed October 2013).

Sbinozuka, 2003

Winkler, 2010, Performance assessment of topologically diverse power systems subjected to hurricane events, Reliab. Eng. Syst. Saf., 95, 323, 10.1016/j.ress.2009.11.002

Mallak, 1998, Measuring resilience in health care provider organizations, Health Manpow. Manag., 24, 148, 10.1108/09552069810215755

Endsley, 2003

Endsley, 2008, Situation awareness: state of the art

Connors, 2007, Situation awareness in the power transmission and distribution industry

Schläpfer, 2008, Reliability analysis of electric power systems using an object-oriented hybrid modelling approach

Panteli, 2013, Assessing the impact of insufficient situation awareness on power system operation, IEEE Trans. Power Syst., 28, 2967, 10.1109/TPWRS.2013.2240705

Billinton, 1981, Transmission line reliability models including common mode and adverse weather effects, IEEE Trans. Power App. Syst. PAS-100, 3899, 10.1109/TPAS.1981.316985

IEEE PES Nuclear Power Engineering Committee, 1985

NERC, 2012

NERC, 2010

Quanta Technology, 2013

Quanta Technology, 2013

Quanta Technology. Available from: http://www.quanta-technology.com/expertise-areas/asset-management (accessed June 2014).

Badolato, 1990

Fleming, 2011

Leonard, 2008, Routine or crisis: the search for excellence, Crisis Response, 4, 32

EPRI, 2014

Ribeiro, 2001, Energy storage systems for advanced power applications, IEEE Proc., 89, 1744, 10.1109/5.975900

Lopes, 2007, Integrating distributed generation into electric power systems: a review of drivers, challenges and opportunities, Electr. Power Syst. Res., 77, 1189, 10.1016/j.epsr.2006.08.016

Strbac, 2008, Demand side management: benefits and challenges, Energy Policy, 36, 4419, 10.1016/j.enpol.2008.09.030

Basak, 2012, A literature review on integration of distributed energy resources in the perspective of control, protection and stability of microgrid, Renew. Sustain. Energy Rev., 16, 5545, 10.1016/j.rser.2012.05.043

Mirsaeidi, 2014, An analytical literature review of the available techniques for the protection of micro-grids, Int. J. Electr. Power Energy Syst., 58, 300, 10.1016/j.ijepes.2014.01.032

European Distribution System Operators (EDSO), 2014

IEEE Smart Grid, ZPryme, 2012

Carnegie, 2013

Roberts, 2011, The role of energy storage in development of smart grids, IEEE Proc., 99, 1139, 10.1109/JPROC.2011.2116752

National Renewable Energy Laboratory, 2014

Chen, 2009, Progress in electrical energy storage system: a critical review, Prog. Nat. Sci., 19, 291, 10.1016/j.pnsc.2008.07.014

Hadjipaschalis, 2009, Overview of current and future energy storage technologies for electric power applications, Renew. Sustain. Energy Rev., 13, 1513, 10.1016/j.rser.2008.09.028

Nourai, 2010, Realizing smart grid goals with intelligent energy storage, IEEE Power Energy Mag., 8, 49, 10.1109/MPE.2009.935555

U.S. Department of Energy, 2013

Madani, 2010, IEEE PSRC report on global industry experiences with system integrity protection schemes (SIPS), IEEE Trans. Power Deliv., 25, 2143, 10.1109/TPWRD.2010.2046917

Phadke, 2008

Kirschen, 1992, Intelligent alarm processing in power systems, IEEE Proc., 80, 663, 10.1109/5.137221

Weber, 2000, Voltage contours for power system visualization, IEEE Trans. Power Syst., 15, 404, 10.1109/59.852151

Overbye, 2001, Visualizing the electric grid, IEEE Spectr., 38, 52, 10.1109/6.898800

Klump, 2002, Real-time data retrieval and new visualization techniques for the energy industry

Met Office UK, What is UKCP09? Available from: http://ukclimateprojections.metoffice.gov.uk/ (accessed November 2013).

Met Office UK. Available from: http://www.metoffice.gov.uk/ (accessed: November 2013).

Federal Emergency Management Agency (FEMA), Hazards U.S. Multi-Hazard (HAZUS-MH). Available from: http://www.csc.noaa.gov/digitalcoast/tools/hazus-mh (accessed April 2014).

Federal Emergency Management Agency (FEMA). Available from: http://www.fema.gov/hazus (accessed April 2014).

Vickery, 2009, Hurricane hazard modelling: the past, present, and future, J. Wind Eng. Ind. Aerodyn., 97, 392, 10.1016/j.jweia.2009.05.005

Fay, 2010, On the influence of weather forecast errors in short-term load forecasting models, IEEE Trans. Power Syst., 25, 1751, 10.1109/TPWRS.2009.2038704

Murray, 2014, Wind related faults on the GB transmission network

Sun, 2010, Operational reliability assessment of power systems considering condition-dependent failure rate, IET Gener. Transm. Distrib., 4, 60, 10.1049/iet-gtd.2009.0006

Weihui, 2001, Risk assessment for transformer loading, IEEE Trans. Power Syst., 16, 346, 10.1109/59.932267

Billinton, 1994