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Engineering IT-Enabled Sustainable Electricity Services pp 247–259Cite as

Look-Ahead Model-Predictive Generation and Demand Dispatch for Managing Uncertainties

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Part of the book series: Power Electronics and Power Systems ((PEPS,volume 30))

Abstract

In this chapter, we focus on demand response in the timescales of day-ahead and real-time operation. We show the formulation, numerical examples, and the results of economic dispatch considering an elastic load with its demand function and the generation resources. We use two distinct algorithms for this demand and generation dispatch: Day-Ahead Scheduling and Real-Time Adjustment. We compare and analyze the results of these two different methods and discuss their implications for short-term system dispatch and operation.

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References

  1. M.D. Ilić, L. Xie, J.-Y. Joo, Efficient coordination of wind power and price-responsive demand—Part II: case studies. IEEE Trans. Power Syst 26(4), 1885–1893, (November 2011)

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  2. J.-Y. Joo, M. Ilić, Multi-temporal risk minimization of adaptive load management in electricity spot markets, Innovative Smart Grid Technologies (ISGT Europe), 2nd IEEE PES International Conference and Exhibition, December 2011, pp. 1–7, 5–7

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Acknowledgments

This work was supported partly by the Semiconductor Research Corporation (SRC) Energy Research Initiative (ERI) for Smart Grid Research Center (SGRC) Task 2111.001 Adaptive Load Management, partly by the Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) through the Carnegie Mellon Portugal Program, partly by U.S. National Science Foundation ECCS Grant 1029873, and partly by the Power Systems Engineering Research Center (PSERC). The authors are grateful for each sponsor for their financial support. The authors also like to thank Remco Verzijlbergh at Delft University for his valuable feedback on this work.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, 15213, USA

    Jhi-Young Joo, Jonathan Donadee & Marija Ilić

  2. Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, 77843, USA

    Yingzhong Gu & Le Xie

Authors
  1. Jhi-Young Joo
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  2. Yingzhong Gu
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  3. Le Xie
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  4. Jonathan Donadee
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  5. Marija Ilić
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Corresponding author

Correspondence to Jhi-Young Joo .

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Editors and Affiliations

  1. , Electrical and Computer Engineering (ECE, Carnegie Mellon University, Porter Hall B25, Pittsburgh, 15213-3890, Pennsylvania, USA

    Marija Ilic

  2. , Dept. of Electrical and Comp. Eng., Texas A&M University, College Station, 77843, Texas, USA

    Le Xie

  3. Carnegie Mellon University, 5000 Forbes Ave, Porter Hall B10, Pittsburgh, 15213, Pennsylvania, USA

    Qixing Liu

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Joo, JY., Gu, Y., Xie, L., Donadee, J., Ilić, M. (2013). Look-Ahead Model-Predictive Generation and Demand Dispatch for Managing Uncertainties. In: Ilic, M., Xie, L., Liu, Q. (eds) Engineering IT-Enabled Sustainable Electricity Services. Power Electronics and Power Systems, vol 30. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09736-7_9

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  • DOI: https://doi.org/10.1007/978-0-387-09736-7_9

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-09735-0

  • Online ISBN: 978-0-387-09736-7

  • eBook Packages: EngineeringEngineering (R0)

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