Network optimization and platform pricing in coupled energy and transportation systems

Abstract

This study examines shared electric vehicles (SEVs) providing transport and discharging services via a ride-sourcing platform. The model integrates transport and power networks, influenced by pricing strategies of the distribution network operator (DNO) and SEV platform operator. Two competition models are developed: (a) Stackelberg model (DNO leads, SEV follows) and (b) Nash model (simultaneous decisions), considering EV routing, rider-driver matching, power, and traffic flows. This study proves the existence of supply-demand equilibrium for travellers and EV drivers, with numerical results demonstrating its stability and uniqueness. Interestingly, results show that discharging benefits all stakeholders except riders and has varying impacts on traffic congestion: Reduces congestion under low ride demand, increases it under medium demand, and has no effect under high demand.

Speaker’s Profile

Dr Ding Yanyan holds a PhD in Transportation Engineering from the Hong Kong University of Science and Technology. Her research focuses on network integration of energy and transport systems, supply chain management, and platform competition. Recognised with the 26th HKSTS Outstanding Paper Award (2022) and the Rising Star (Research) award at the Women in Engineering Seminar (2023), she has published high-quality studies in top journals like Applied Energy, Transportation Research Part Series, and presented at top conferences such as ISTTT and TRB Annual Meeting. Dr Ding has also contributed to projects funded by the US Energy Foundation, China Energy Administration, and the Academy of Macroeconomic Research, focusing on solar energy evaluation, electric vehicle (EV) dis/charging impacts, and China’s EV development strategy.