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Coupon Incentive-Based Demand Response

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Demand Response in Smart Grids

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Abstract

This chapter presents the formulation and critical assessment of a novel type of demand response (DR) program targeting retail customers (such as small/medium size commercial, industrial, and residential customers) who are equipped with smart meters yet still face a flat rate. Enabled by pervasive mobile communication capabilities and smart grid technologies, load serving entities (LSEs) could offer retail customers coupon incentives via near-real-time information networks to induce demand response for a future period of time in anticipation of intermittent generation ramping and/or price spikes. This scheme is referred to as coupon incentive-based demand response (CIDR). In contrast to the real-time pricing or peak load pricing DR programs, CIDR continues to offer a flat rate to retail customers and also provides them with voluntary incentives to induce demand response. Theoretical analysis shows the benefits of the CIDR scheme in terms of social welfare, consumer surplus, LSE profit, the robustness of the retail electricity rate, and readiness for implementation. The pros and cons are discussed in comparison with existing DR programs. Numerical illustration is performed based on realistic supply and demand data obtained from the Electric Reliability Council of Texas (ERCOT).

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Author information

Authors and Affiliations

  1. Electric Reliability Council of Texas, Taylor, TX, USA

    Pengwei Du

  2. Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA

    Ning Lu

  3. Tsinghua University, Beijing, China

    Haiwang Zhong

Authors
  1. Pengwei Du
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  2. Ning Lu
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  3. Haiwang Zhong
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Du, P., Lu, N., Zhong, H. (2019). Coupon Incentive-Based Demand Response. In: Demand Response in Smart Grids. Springer, Cham. https://doi.org/10.1007/978-3-030-19769-8_6

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  • DOI: https://doi.org/10.1007/978-3-030-19769-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19768-1

  • Online ISBN: 978-3-030-19769-8

  • eBook Packages: EnergyEnergy (R0)

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