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Handbook of Climate Change Mitigation and Adaptation pp 1465–1501Cite as

Smart Grid

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Abstract

Smart grid holds a great promise for a cleaner, more efficient power; healthier air; and lower greenhouse gas emissions. A smart grid vastly improves energy efficiency and is already revolutionizing our energy future. A smart power grid delivers electricity from suppliers to consumers using digital technology with two-way communication to control appliances at consumers’ homes to save energy, reduce cost, and increase reliability and transparency. A smart grid includes an intelligent monitoring system that keeps track of all electricity flowing in the system. It also incorporates the capability of integrating renewable electricity, such as solar and wind, at the consumer end. For houses equipped with solar panels and/or wind turbines, the goal is for them to consume no more energy than they produce and to produce net zero carbon emissions. The future with smart grid may look like a lot of distributed “green” generation at the consumer end replacing the conventional generation and thus easing its way to more sustainable future energy needs.

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References

  • Ackermann T, Andersson G, Söder L (2001) Distributed generation: a definition. Electr Power Syst Res 57:195–204

    Article  Google Scholar 

  • Albadi MH, El-Saadany EF (2008) A summary of demand response in electricity markets. Electr Power Syst Res 78:1989–1996

    Article  Google Scholar 

  • Albadi MH et al (2013) Optimal allocation of solar PV systems in rural areas using genetic algorithms – case study. Int J Sustain Eng 6(4):301–306

    Article  Google Scholar 

  • Au T, Au T (1983) Engineering economics for capital investment analysis. Allyn and Bacon, Boston

    Google Scholar 

  • Babic J (2014) Agent-based modeling of electricity markets in a smart grid environment 2014 [Online]. http://www.fer.unizg.hr/_download/repository/KDI_Jurica_Babic.pdf. Accessed 14 Nov 2014

  • Banerjee A et al (2005) Wavelength-division-multiplexed passive optical network (WDM-PON) technologies for broadband access: a review [DInvited]. J Opt Netw 4(11):737–758

    Article  Google Scholar 

  • Bhattacharya K, Bollen MHJ, Daalder JE (2001) Operation of restructured power systems. Kluwer, Boston

    Book  Google Scholar 

  • Biglieri E (2003) Coding and modulation for a horrible channel. IEEE Commun Mag 41(5):92–98

    Article  MathSciNet  Google Scholar 

  • Bilgin BE, Gungor VC (2012) Performance evaluations of ZigBee in different smart grid environments. Comput Netw 56(8):2196–2205

    Article  Google Scholar 

  • Bloustein E (2005) School of planning and public policy, assessment of customer response to real time pricing, Rutgers. The State University of New Jersey [Online]. http://www.policy.rutgers.edu

  • Bouvier S, Strubel P (2010) Deploying a smarter grid through cable solutions and services. White paper Nexans

    Google Scholar 

  • BuddeComm (2010) 2009 global smart grids – intelligent energy technology [Online]. http://www.budde.com.au/Research/Global-Smart-Grids-Intelligent-Energy-Technology.html. Accessed 10 Apr 2010

  • C. E. Commission (2004) DG definition and cost-benefit analysis – policy inventory, Sacramento, CA 95814-5512, California

    Google Scholar 

  • Carnegie Mellon University (2014a) Smart grid maturity model: matrix. Version 1.2

    Google Scholar 

  • Carnegie Mellon University (2014b) SGMM around the world [Online]. http://resources.sei.cmu.edu/asset_files/Webinar/2014_018_101_303535.pdf. Accessed 19 Nov 2014

  • Cordeiro C, Akhmetov D, Park M (2010) Ieee 802.11Ad: introduction and performance evaluation of the first multi-gbps wifi technology.In: Proceedings of the 2010 ACM international workshop on mmWave communications: from circuits to networks, New York, pp 3–8

    Google Scholar 

  • Department of Energy, USA (2008) The smart grid: an introduction [Online]. http://energy.gov/sites/prod/files/oeprod/DocumentsandMedia/DOE_SG_Book_Single_Pages.pdf. Accessed 7 May 2015

  • Dzung D et al (2005) Security for industrial communication systems. Proc IEEE 93(6):1152–1177

    Article  Google Scholar 

  • El-Khattam W (2004) Power delivery system planning implementing distributed generation. University of Waterloo, Waterloo

    Google Scholar 

  • EPRI Report (2010) Methodological approach for estimating the benefits and costs of smart grid demonstration projects. EPRI, Palo Alto, 94303-0813

    Google Scholar 

  • EPRI Report (2011) Estimating the costs and benefits of the smart grid: a preliminary estimate of the investment requirements and the resultant benefits of a fully functioning smart grid. EPRI, Palo Alto, 1022519

    Google Scholar 

  • EPRI Report (2012) Guidebook for cost/benefit analysis of smart grid demonstration projects: revision 1, measuring impacts and monetizing benefits. EPRI, Palo Alto, 1025734

    Google Scholar 

  • EPRI Report (2013) Guidebook for cost/benefit analysis of smart grid demonstration projects: revision 2. EPRI, Palo Alto, 3002002266

    Google Scholar 

  • Ergen SC (2004) ZigBee/IEEE 802.15. 4 summary, vol 10. UC Berkeley, California, USA

    Google Scholar 

  • Ernst & Young (2012) Smart grid: a race worth winning? A report on the economic benefits of smart grid. London

    Google Scholar 

  • Essiambre R-J, Ryf R, Fontaine NK, Randel S (2013) Breakthroughs in photonics 2012: space-division multiplexing in multimode and multicore fibers for high-capacity optical communication. IEEE Photonics J 5(2):0701307

    Article  Google Scholar 

  • European Commission JRC Report (2012) Guidelines for conducting a cost-benefit analysis of smart grid projects. Joint Research Centre, Petten

    Google Scholar 

  • Fadaeenejada M et al (2014) The present and future of smart power grid in developing countries. Renew Sustain Energy Rev 29:828–834

    Article  Google Scholar 

  • Fang X et al (2012) Smart grid – the new and improved power grid: a survey. IEEE Commun Surv Tutor 14(4):944–980

    Article  Google Scholar 

  • Flynn B (2007) What is the real potential of the smart grid? In: The AMRA international symposium, Reno, 30 Sept–3 Oct 2007

    Google Scholar 

  • Fouda MM et al (2011) A lightweight message authentication scheme for smart grid communications. IEEE Trans Smart Grid 2(4):675–685

    Article  Google Scholar 

  • Galli S, Scaglione A, Wang Z (2011) For the grid and through the grid: the role of power line communications in the smart grid. Proc IEEE 99(6):998–1027

    Article  Google Scholar 

  • Giani A et al (2011) Smart grid data integrity attacks: characterizations and countermeasures. In: Smart grid communications (SmartGridComm), 2011 I.E. international conference on, Brussels, Belgium, pp 232–237

    Google Scholar 

  • Giordano V et al (2013) Smart grid projects in Europe: lessons learned and current developments. European Commission, Joint Research Centre, Institute for Energy and Transport, Luxembourg: Publications Office of the European Union. © European Union, 2011

    Google Scholar 

  • Gumerman EZ et al (2003) Evaluation framework and tools for distributed energy resources. Lawrence Berkeley National Laboratory, Berkeley

    Book  Google Scholar 

  • Gungor VC, Lambert FC (2006) A survey on communication networks for electric system automation. Comput Netw 50(7):877–897

    Article  Google Scholar 

  • Gungor VC et al (2011) Smart grid technologies: communication technologies and standards. IEEE Trans Ind Inf 7(4):529–539

    Article  MathSciNet  Google Scholar 

  • IEA (2002) Distributed generation in liberalised electricity markets. Paris. Organization for Economic Co-operation and Development (OECD)/International Energy Agency (IEA)

    Google Scholar 

  • IEA (2014) Tracking clean energy progress 2014: energy technology perspectives 2014 excerpt IEA input to the clean energy ministerial [Online]. http://www.iea.org/publications/freepublications/publication/Tracking_clean_energy_progress_2014.pdf. Accessed 18 Nov 2014

  • International Energy Agency (2003) The power to choose – demand response in liberalized electricity markets. OECD, Paris

    Google Scholar 

  • International Renewable Energy Agency (IRENA) (2013) Smart grids and renewable – a guide for effective deployment [Online]. http://www.irena.org/DocumentDownloads/Publications/smart_grids.pdf. Accessed 7 May 2015

  • Jackson J (2011) The utility smart grid business case: problems, pitfalls and ten real-world recommendations. In: 2nd annual evaluating the business case for smart grid investments, Orlando, 20–21 Oct 2011

    Google Scholar 

  • Jung M, Yeung P (2011) Connecting smart grid & climate change. Silver Spring Networks. http://www.silverspringnet.com/pdfs/SSN_WP_ConnectingSmartGrid-1109.pdf. Accessed 3 Dec 2014

  • King C (2005) Advanced metering infrastructure (AMI). DRAM Coalition [Online]. www.oregon.gov/PUC/electric_gas/010605/king.pdf?ga=t. Accessed Nov 2012

  • Li X et al (2012) Securing smart grid: cyber attacks, countermeasures, and challenges. IEEE Commun Mag 50(8):38–45

    Article  Google Scholar 

  • Lin H et al (2011) Power system and communication network co-simulation for smart grid applications. In: Innovative smart grid technologies (ISGT), 2011 I.E. PES, California, USA, pp 1–6

    Google Scholar 

  • Liu J et al (2011) Applications of internet of things on smart grid in China. In: Advanced communication technology (ICACT), 2011 13th international conference on, South Korea, pp 13–17

    Google Scholar 

  • Malik A, Bouzguenda M (2013) Effects of smart grid technologies on capacity and energy savings – a case study of Oman. Energy 54:365–371

    Article  Google Scholar 

  • Markovic DS et al (2013) Smart power grid and cloud computing. Renew Sustain Energy Rev 24:566–577

    Article  Google Scholar 

  • Massoud Amin S (2011) Smart grid: overview, issues and opportunities – advances and challenges in sensing, modeling, simulation, optimization and control. Eur J Control 5(6):547–567

    Article  MathSciNet  Google Scholar 

  • Mo Y et al (2012) Cyber–physical security of a smart grid infrastructure. Proc IEEE 100(1):195–209

    Article  Google Scholar 

  • Nibler V, Masiello R (2009) Handbook for assessing smart grid projects. Prepared by KEMA Inc. for GridWise Alliance [Online]. http://www.gridwise.org. Accessed 10 Nov 2014

  • Norair JP (2009) Introduction to DASH7 technologies. Dash7 Alliance Low Power RF Tech Overv

    Google Scholar 

  • Ontario Smart Grid Forum (2013) Ontario smart grid progress assessment: a vignette, Toronto [Online]. http://www.ieso.ca/documents/smart_grid/Smart_Grid_Progress_Assessment_Vignette.pdf. Accessed 18 Nov 2014

  • Power (2010) Which country’s grid is the smartest? [Online]. http://www.powermag.com/issues/cover_stories/Which-Countrys-Grid-Is-the-Smartest_2345.html. Accessed 9 Apr 2010

  • Quezada V et al (2006) Assessment of energy distribution losses for increasing penetration of distributed generation. IEEE Trans Power Syst 21:533–540

    Google Scholar 

  • Schneider Electric (2012) GIS-based design for effective smart grid strategies [Online]. http://tvt.schneider-electric.com/forms/smart_grid/upload/GIS-Based-Design-for-Effective-Smart-Grid-Strategies.pdf. Accessed 7 May 2015

  • Smart Grid Consumer Collaborative (2013) Smart grid economic and environmental benefits: a review and synthesis of research on smart grid benefits and costs, Atlanta, GA

    Google Scholar 

  • Smith SW (2012) Cryptographic scalability challenges in the smart grid. In: ISGT, Washington DC, USA, pp 1–3

    Google Scholar 

  • SRA 2035 (2012) [Online]. http://www.futured.es/wp-content/uploads/downloads/2012/04/sra2035.pdf. Accessed 7 May 2015

  • Sutterlin P, Downey W (1999) A power line communication tutorial-challenges and technologies. In: International symposium on power-line communications and its applications, Lancaster, UK, pp 15–29

    Google Scholar 

  • The Smart Grid Interoperability Panel and Cyber Security Working Group (2010) NISTIR 7628 guidelines for smart grid cyber security

    Google Scholar 

  • Timmers M et al (2013) G.fast: evolving the copper access network. IEEE Commun Mag 51(8):74–79

    Article  Google Scholar 

  • U.S. Department of Energy (2006) Benefits of demand response in electricity markets and recommendations for achieving them. Report to the United States Congress [Online]. http://eetd.lbl.gov

  • United Nations (2014) Climate summit 2014 – catalyzing action. The Chair’s Summary, UN Headquarters, New York [Online]. http://www.un.org/climatechange/summit/2014/09/2014-climate-change-summary-chairs-summary/. Accessed Nov 2014

  • Usman A, Shami SH (2013) Evolution of communication technologies for smart grid applications. Renew Sustain Energy Rev 19:191–199

    Article  Google Scholar 

  • Valero S et al (2007) Methods for customer and demand response policies selection in new electricity markets. IET Gener Transm Distrib 1:104–110

    Article  Google Scholar 

  • Yan Y, Qian Y, Sharif H (2011) A secure and reliable in-network collaborative communication scheme for advanced metering infrastructure in smart grid. In: Wireless communications and networking conference (WCNC), 2011 IEEE, Mexico, pp 909–914

    Google Scholar 

  • Yi P, Iwayemi A, Zhou C (2011) Developing ZigBee deployment guideline under WiFi interference for smart grid applications. IEEE Trans Smart Grid 2(1):110–120

    Article  Google Scholar 

  • Yu R et al (2011) Cognitive radio based hierarchical communications infrastructure for smart grid. IEEE Netw 25(5):6–14

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Sultan Qaboos University, Al Khoudh, 33, 123, Muscat, Oman

    Dawood Al Abri, Mohammed Albadi & Nasser Hosseinzadeh

  2. Department of Geography, Sultan Qaboos University, Al Khoudh, Muscat, Oman

    Yassine Charabi

  3. Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, Muscat, Oman

    Arif S. Malik

Authors
  1. Dawood Al Abri
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  2. Arif S. Malik
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  3. Mohammed Albadi
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  4. Yassine Charabi
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  5. Nasser Hosseinzadeh
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Corresponding author

Correspondence to Dawood Al Abri .

Editor information

Editors and Affiliations

  1. Departmemt of Chemical Engineering, University of Mississippi, Oxford, Mississippi, USA

    Wei-Yin Chen

  2. National Institute of Advanced Industrial Science & Technology (AIST), Nagoya, Japan

    Toshio Suzuki

  3. Institute of Advanced Engineering Technologies, University of Applied Sciences FH Technikum Wien, Vienna, Austria

    Maximilian Lackner

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Al Abri, D., Malik, A.S., Albadi, M., Charabi, Y., Hosseinzadeh, N. (2017). Smart Grid. In: Chen, WY., Suzuki, T., Lackner, M. (eds) Handbook of Climate Change Mitigation and Adaptation. Springer, Cham. https://doi.org/10.1007/978-3-319-14409-2_78

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