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Demand response mechanisms: A new debate on internalizing power generation sector negative technical spillovers

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  • Hacopian Dolatabadi, Sarineh
  • Latify, Mohammad Amin
  • Karshenas, Hamidreza
  • Sharifi, Alimorad

Abstract

The presence of technical and operational constraints within the power generation sector gives rise to negative externalities, resulting in spillover effects that can significantly impact the economic efficiency of power markets. This article endeavors to address these challenges by focusing on the demand side of power systems. Within the article, a demand response-based approach is presented as a means to internalize the negative technical externalities spillovers originating from power plants in day-ahead power markets. This approach involves the responsive demand generating a new service that opens up opportunities for energy interchange within the power market. To effectively internalize these spillovers, the introduced service incorporates both quantity and price adjustments. A discriminatory pricing mechanism for this service is proposed, accompanied by a bi-level optimization problem aimed at determining the elastic responsive demand fraction necessary to deliver the service. Utilizing the proposed scheme facilitates attaining the first-best optimal market solution by alleviating negative spillovers inherent in sub-optimal second-best solutions arising from operational constraints in power plants. Numerical results presented in the article serve to underscore the efficacy of the proposed method, demonstrating its ability to function seamlessly and contribute to the optimization of power market outcomes.

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  • Hacopian Dolatabadi, Sarineh & Latify, Mohammad Amin & Karshenas, Hamidreza & Sharifi, Alimorad, 2024. "Demand response mechanisms: A new debate on internalizing power generation sector negative technical spillovers," Energy, Elsevier, vol. 301(C).
    • Handle: RePEc:eee:energy:v:301:y:2024:i:c:s0360544224014397
    DOI: 10.1016/j.energy.2024.131666
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    as
    1. Perera, A.T.D. & Javanroodi, Kavan & Nik, Vahid M., 2021. "Climate resilient interconnected infrastructure: Co-optimization of energy systems and urban morphology," Applied Energy, Elsevier, vol. 285(C).
    2. O'Neill, Richard P. & Sotkiewicz, Paul M. & Hobbs, Benjamin F. & Rothkopf, Michael H. & Stewart, William R., 2005. "Efficient market-clearing prices in markets with nonconvexities," European Journal of Operational Research, Elsevier, vol. 164(1), pages 269-285, July.
    3. Sioshansi, Fereidoon P., 1992. "Demand-side management and environmental externalities: Ramifications on utility resource planning," Utilities Policy, Elsevier, vol. 2(4), pages 320-329, October.
    4. Sioshansi, Ramteen, 2014. "Pricing in centrally committed electricity markets," Utilities Policy, Elsevier, vol. 31(C), pages 143-145.
    5. Stephan Dempe & Vyatcheslav V. Kalashnikov & Nataliya Kalashnykova, 2006. "Optimality conditions for bilevel programming problems," Springer Optimization and Its Applications, in: Stephan Dempe & Vyacheslav Kalashnikov (ed.), Optimization with Multivalued Mappings, pages 3-28, Springer.
    6. Mays, Jacob & Morton, David P. & O’Neill, Richard P., 2021. "Investment effects of pricing schemes for non-convex markets," European Journal of Operational Research, Elsevier, vol. 289(2), pages 712-726.
    7. Kuang, Xiaolong & Lamadrid, Alberto J. & Zuluaga, Luis F., 2019. "Pricing in non-convex markets with quadratic deliverability costs," Energy Economics, Elsevier, vol. 80(C), pages 123-131.
    8. Iribarren, Diego & Martín-Gamboa, Mario & Navas-Anguita, Zaira & García-Gusano, Diego & Dufour, Javier, 2020. "Influence of climate change externalities on the sustainability-oriented prioritisation of prospective energy scenarios," Energy, Elsevier, vol. 196(C).
    9. Sioshansi, Ramteen & Oren, Shmuel & O'Neill, Richard, 2010. "Three-part auctions versus self-commitment in day-ahead electricity markets," Utilities Policy, Elsevier, vol. 18(4), pages 165-173, December.
    10. Jean-Paul Chavas & Walter Briec, 2012. "On economic efficiency under non-convexity," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 50(3), pages 671-701, August.
    11. R. G. Lipsey & Kelvin Lancaster, 1956. "The General Theory of Second Best," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 24(1), pages 11-32.
    12. Guesnerie, Roger, 1975. "Pareto Optimality in Non-Convex Economies," Econometrica, Econometric Society, vol. 43(1), pages 1-29, January.
    13. Hacopian Dolatabadi, Sarineh & Latify, Mohammad Amin & Karshenas, Hamidreza & Sharifi, Alimorad, 2022. "On pricing issues in electricity markets in the presence of externalities," Energy, Elsevier, vol. 246(C).
    14. Thopil, George Alex & Pouris, Anastassios, 2015. "Aggregation and internalisation of electricity externalities in South Africa," Energy, Elsevier, vol. 82(C), pages 501-511.
    15. Starrett, David A., 1972. "Fundamental nonconvexities in the theory of externalities," Journal of Economic Theory, Elsevier, vol. 4(2), pages 180-199, April.
    16. George Liberopoulos & Panagiotis Andrianesis, 2016. "Critical Review of Pricing Schemes in Markets with Non-Convex Costs," Operations Research, INFORMS, vol. 64(1), pages 17-31, February.
    17. Sousa, Joana & Soares, Isabel, 2020. "Demand response, market design and risk: A literature review," Utilities Policy, Elsevier, vol. 66(C).
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