Skip to main content

Energy Demand Side Management in the Lack of Smart Grids

  • Chapter
  • First Online:
Sustainable Future Energy Technology and Supply Chains

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

The aim of this study is minimizing the negative effects on grid instability of districts caused by high power demanding industrial users, where a unique electricity-generating center supplies power. To achieve this, we propose a MINLP model that in turn, will fill the gap of two-way communication in the grids. This is how the users of developing countries who have no smart electricity grids can make contributions to energy management following the developed DSM programs. Most balanced power consumption schedules can be delivered without violating existing production plans of the sample factories and without changing total daily energy consumption. Thus, grid instability originated from power usage is minimized.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Alvarez C, Gabaldon A, Molina A (2004) Assessment and simulation of the responsive demand potential in end user facilities: application to a university customer. IEEE Trans Power Syst 19(2):1223–1231. doi:10.1109/TPWRS.2004.825878

    Article  Google Scholar 

  • Eissa MM (2011) Demand side management program evaluation based on industrial and commercial field data. Energy Policy 39:5961–5969. doi:10.1016/j.enpol.2011.06.057

    Article  Google Scholar 

  • Gelazanskas L, Gamage KAA (2014) Demand side management in smart grid: a review and proposals for future direction. Sustain Cities Soc 11:22–30. doi:10.1016/j.scs.2013.11.001

    Article  Google Scholar 

  • Gottwalt S, Ketter W, Block C, Collins J, Weinhardt C (2011) Demand side management—a simulation of household behavior under variable prices. Energy Policy 39:8163–8174. doi:10.1016/j.enpol.2011.10.016

    Article  Google Scholar 

  • Henning D, Amiri S, Holmgren K (2006) Modelling and optimisation of electricity, steam and district heating production for a local Swedish utility. Eur J Oper Res 175:1224–1247. doi:10.1016/j.ejor.2005.06.026

    Article  MATH  Google Scholar 

  • Henning D, Trygg L (2008) Reduction of electricity use in Swedish industry and its impact on national power supply and European CO2 emissions. Energy Policy 36:2330–2350. doi:10.1016/j.enpol.2007.08.033

    Article  Google Scholar 

  • Jebaraj S, Iniyan S, Goic R (2013) An optimal electricity allocation model for sustainable resource use in India. Int J Energy Res 37:923–935. doi:10.1002/er.2896

    Article  Google Scholar 

  • Lampropoulos I, Kling WL, Ribeiro PF, van den Berg J (2013) History of demand side management and classification of demand response control schemes. In: Power and energy society general meeting, British Columbia, Canada, 21–25 July

    Google Scholar 

  • Law YW, Alpcan T, Lee VCS, Lo A, Marusic S, Palaniswami M (2012) Demand response architectures and load management algorithms for energy-efficient power grids: a survey. In: 7th International conference on knowledge, information and creativity support systems, Melbourne, Australia, 8–10 November

    Google Scholar 

  • Lopez-Rodriguez MA, Santiago I, Trillo-Montero D, Torriti J, Moreno-Munoz A (2013) Analysis and modeling ofactive occupancy of the residential sector in Spain: an indicator of residential electricity consumption. Energy Policy 62:742–751. doi:10.1016/j.enpol.2013.07.095

    Article  Google Scholar 

  • McDonald JR, Lo, KL (1990) Dynamic price structures and consumer load reaction. In: 6th International conference on metering apparatus and tariffs for electricity supply, Manchester, UK, 3–5 April

    Google Scholar 

  • Merkert L, Harjunkoski I, Isaksson A, Saynevirta S, Saarela A, Sand G (2015) Scheduling and energy—industrial challenges and opportunities. Comput Chem Eng 72:183–198. doi:10.1016/j.compchemeng.2014.05.024

    Article  Google Scholar 

  • Mohsenian-Rad AH, Wong VWS, Jatskevich J, Schober R, Leon-Garcia A (2010) Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE Transactions on Smart Grid 1(3):320–331. doi:10.1109/TSG.2010.2089069

    Article  Google Scholar 

  • Olanrewaju OA, Jimoh AA (2014) Review of energy models to the development of an efficient industrial energy model. Renew Sustain Energy Rev 30:661–671. doi:10.1016/j.rser.2013.11.007

    Article  Google Scholar 

  • Olsina F, Garces F, Haubrich HJ (2006) Modeling long-term dynamics of electricity markets. Energy Policy 34:1411–1433. doi:10.1016/j.enpol.2004.11.003

    Article  Google Scholar 

  • Roos JG, Lane IE (1998) Industrial power demand response analysis for one-part real-time pricing. IEEE Trans Power Syst 13(1):159–164. doi:10.1109/59.651628

    Article  Google Scholar 

  • Strbac G (2008) Demand side management: benefits and challenges. Energy Policy 36:4419–4426. doi:10.1016/j.enpol.2008.09.030

    Article  Google Scholar 

  • Swanepoel JA, Mathews EH, Vosloo J, Liebenberg L (2014) Integrated energy optimisation for the cement industry: a case study perspective. Energy Convers Manag 78:765–775. doi:10.1016/j.enconman.2013.11.033

    Article  Google Scholar 

  • Url-1 http://www.epdk.org.tr/index.php/elektrik-piyasasi/tarifeler?id=133. Retrieved 2 Oct 2014

  • Valencia-Salazar I, Alvarez C, Escriva-Escriva G, Alcázar-Ortega M (2011) Simulation of demand side participation in Spanish short term electricity markets. Energy Convers Manag 52:2705–2711. doi:10.1016/j.enconman.2011.02.005

    Article  Google Scholar 

  • Winston WL (2003) Operations research: applications and algorithms. Brooks/Cole, Michigan, ABD, Cengage

    Google Scholar 

  • Yang P, Tang G, Nehorai A (2012) Optimal time-of-use electricity pricing using game theory. In: International conference on acoustics, speech and signal processing, Kyoto, Japan, 25–30 March

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zeynep Bektas .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Bektas, Z., Kayalica, M. (2015). Energy Demand Side Management in the Lack of Smart Grids. In: Cucchiella, F., Koh, L. (eds) Sustainable Future Energy Technology and Supply Chains. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-02696-1_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-02696-1_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02695-4

  • Online ISBN: 978-3-319-02696-1

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics