The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Coupon Incentive-Based Demand Response: Theory and Case Study
Abstract
This paper 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 proposed 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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Citations
Cites
Volatility of power grids under real-time pricing
Roozbehani, M., Dahleh, M. A., & Mitter, S. K. (2012) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2012.2195037 · Cited by 335
Cited by
Incentive-based demand response for smart grid with reinforcement learning and deep neural network
Lu, R., & Hong, S. H. (2019) · Applied Energy · doi:10.1016/j.apenergy.2018.12.061 · Cited by 394
A Distributed Direct Load Control Approach for Large-Scale Residential Demand Response
Chen, C., Wang, J., & Kishore, S. (2014) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2014.2307474 · Cited by 258
Optimal coordination and scheduling of demand response via monetary incentives
Sarker, M. R., Ortega-Vazquez, M. A., & Kirschen, D. S. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2375067 · Cited by 203
Zhu, H., Goh, H. H., Zhang, D., Ahmad, T., Liu, H., Wang, S., Li, S., Liu, T., Dai, H., & Wu, T. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.129809 · Cited by 131
Stochastic Energy Management of Microgrid with Nodal Pricing
Prudhviraj, D., B. S. Kiran, P., & M. Pindoriya, N. (2020) · Journal of Modern Power Systems and Clean Energy · doi:10.35833/mpce.2018.000519 · Cited by 41
Metadata
- Authors
- Zhong, H., Xie, L., & Xia, Q.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2013-05
- Volume
- 28
- Issue
- 2
- Pages
- 1266-1276
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2123017553
- Cited by
- 354
- References
- 1
- FWCI
- 13.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhong, H., Xie, L., & Xia, Q. (2013). Coupon Incentive-Based Demand Response: Theory and Case Study. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2012.2218665
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