UDC 338.24
DOI: 10.36871/ek.up.p.r.2025.05.10.016

Authors

Roman V. Timokhin,
National Research University “Moscow Power Engineering Institute”, Moscow, Russia

Abstract

Taking into account the distinctive features of the Russian power system and electric vehicle charging infrastructure, the proposed model incorporates demand forecasting, consumer responsiveness to tariff variations, and mechanisms for compensating peak load reductions. The model enables the optimisation of pricing strategies, allowing charge point operators to manage demand more effectively and to contribute meaningfully to the balancing of the electricity system. The integration of dynamic pricing into the ancillary services market framework enhances economic efficiency, improves grid load management, and encourages the expansion of the charging infrastructure. This paper provides a comprehensive evaluation of the economic and regulatory viability of integrating electric vehicle charging networks into the price-responsive demand management (PRDM) mechanism on the Russian day-ahead electricity market. Given the projected growth of the electric vehicle fleet to 3,2 million units by 2030, the study offers a quantitative assessment of the potential contribution of charging infrastructure to peak load reduction. Drawing on retrospective data from 2025, a methodology is proposed for assessing the economic benefits of EV participation in PRDM, including calculations of equilibrium price suppression on the day-ahead market and the scalability of the effect under different demand response scenarios. The article also outlines the regulatory framework and provides a methodology for determining the N and K parameters, alongside a mathematical formalisation of the PRDM effect. The findings underscore the considerable potential of electric vehicles as a flexibility asset within the power system and support the case for refining the current demand-side management model to facilitate the efficient development of regional electricity network infrastructures.

Keywords

Electric transport, charging infrastructure, load aggregator, demand response, price-responsive demand management, day-ahead electricity market, economic impact