Abstract
Electric energy generation is an important sector of Russian economy. Its optimizing is an important measure for increasing the social welfare and the GDP. This study aims to propose a mathematical model for optimizing a wholesale electricity market’s performance by means of modern economic and technical tools: consumption tariffs with multiple rates that aim to shift daily consumption from the pike times, renewable energy generators, energy storages.
Supported by RFBR No. 19-01-00533 A.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Aizenberg, N., Stashkevich, T., Voropai, N.: Forming rate options for various types of consumers in the retail electricity market by solving the adverse selection problem. Int. J. Public Adm. 2(5), 99–110 (2019)
Arrow, K.J., Debreu, G.: Existence of an equilibrium for a competitive economy. Econometrica 22, 265–290 (1954)
Davidson, M.R., Dogadushkina, Y.V., Kreines, E.M., et al.: Mathematical model of the competitive wholesale electricity market in Russia. Izvestiya RAN. Theor. Control Syst. 3, 72–83 (2004)
Denzau, A.T.: Microeconomic Analysis: Markets and Dynamics. Richard d Irwin, Homewood (1992)
Dolmatova, M., Kozlovskiy, D., Khrustaleva, O., Sultanova, T., Vasin, A.: Market parameters dependent indices for competition evaluation in electricity market. Electr. Power Syst. Res. 190, 106762 (2021). https://doi.org/10.1016/j.epsr.2020.106762
Nazari, A., Keypour, R.: Participation of responsive electrical consumers in load smoothing and reserve providing to optimize the schedule of a typical microgrid. Energy Syst. 11, 1–24 (2019)
Gellings, C.W.: The concept of demand-side management for electric utilities. Proc. IEEE 73(10), 1468–1570 (1985). https://doi.org/10.1109/PROC.1985.13318
Conejo, J., Morales, J.M., Baringo, L.: Real time demand response model. IEEE Trans. Smart Grid 1(3), 236–242 (2010). https://doi.org/10.1109/TSG.2010.2078843
Samadi, P., Mohsenian-Rad, H., Schober, R., Wong, V.W.: Advanced demand side management for the future smart grid using mechanism design. IEEE Trans. Smart Grid 3(3), 1170–1180 (2012). https://doi.org/10.1109/TSG.2012.2203341
Vasin, A.A., Grigoryeva, O.M., Tsyganov, N.I.: Optimization of an energy market transportation system. Doklady Math. 96(1), 411–414 (2017). https://doi.org/10.1134/S1064562417040202
Vasin, A.A., Grigoryeva, O.M., Tsyganov, N.I.: Energy markets: optimization of transmission networks. Int. J. Public Adm. 42(15–16), 1311–1322 (2019). The Management of Large Scale Energy Projects: Opportunities and Challenges. An Introduction to the Special Issue
Yaagoubi, N., Mouftan, H.T.: User-aware game theoretic approach for demand management. IEEE Trans. Smart Grid 6(2), 716–725 (2015). https://doi.org/10.1109/TSG.2014.2363098
Motevasel, M., Seifi, A.: Expert energy management of a micro-grid considering wind energy uncertainty. Energy Convers Manag. 83, 58–72 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Vasin, A., Grigoryeva, O. (2020). On Optimizing Electricity Markets Performance. In: Olenev, N., Evtushenko, Y., Khachay, M., Malkova, V. (eds) Optimization and Applications. OPTIMA 2020. Lecture Notes in Computer Science(), vol 12422. Springer, Cham. https://doi.org/10.1007/978-3-030-62867-3_20
Download citation
DOI: https://doi.org/10.1007/978-3-030-62867-3_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-62866-6
Online ISBN: 978-3-030-62867-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)