When Shared Autonomous Electric Vehicles Meet Microgrids: Citywide Energy-Mobility Orchestration

Forthcoming in Manufacturing & Service Operations Management

47 Pages Posted: 10 Jun 2019 Last revised: 2 Oct 2021

See all articles by Wei Qi

Wei Qi

McGill University - Desautels Faculty of Management

Mengyi Sha

Chinese Academy of Sciences (CAS) - University of Chinese Academy of Sciences

Shanling li

McGill University

Date Written: May 22, 2020

Abstract

Problem definition: We develop a cross-disciplinary analytics framework to understand citywide mobility-energy synergy. In particular, we investigate the potential of shared autonomous electric vehicles (SAEVs) for improving the self-sufficiency and resilience of solar-powered urban microgrids.

Academic/Practical relevance: Our work is motivated by the ever-increasing interconnection of energy and mobility service systems at the urban scale. We propose models and analytics to characterize the dynamics of the SAEV-microgrid service systems, which were largely overlooked by the literature on service operations and vehicle-grid integration (VGI) analysis.

Methodology: We develop a space-time-energy network representation of SAEVs. Then we formulate linear program models to incorporate an array of major operational decisions interconnecting the mobility and energy systems. To preventatively ensure microgrid resilience, we also propose an “N-1” resilience-constrained fleet dispatch problem to cope with microgrid outages.

Results: Combining eight data sources of NYC, our results show that 80,000 SAEVs in place of the current ride- sharing mobility assets can improve the microgrid self-sufficiency by 1.45% (benchmarked against the case without grid support) mainly via the spatial transfer of electricity, which complements conventional VGI. Scaling up the SAEV fleet size to 500,000 increases the microgrid self-sufficiency by 8.85% mainly through temporal energy transfer, which substitutes conventional VGI. We also quantify the potential and tradeoffs of SAEVs for peak electricity import reduction and ramping mitigation. In addition, microgrid resilience can be enhanced by SAEVs, but the actual resilience level varies by microgrids and by the hour when grid contingency occurs. The SAEV fleet operator can further maintain the resilience of pivotal microgrid areas at their maximum achievable level with no more than a 1% increase in the fleet repositioning trip length.

Managerial implications: Our models and findings demonstrate the potential in deepening the integration of urban mobility and energy service systems towards a smart-city future.

Keywords: shared autonomous electric vehicles, solar-powered microgrids, smart city operations

Suggested Citation

Qi, Wei and Sha, Mengyi and li, Shanling, When Shared Autonomous Electric Vehicles Meet Microgrids: Citywide Energy-Mobility Orchestration (May 22, 2020). Forthcoming in Manufacturing & Service Operations Management, Available at SSRN: https://ssrn.com/abstract=3392676 or http://dx.doi.org/10.2139/ssrn.3392676

Wei Qi (Contact Author)

McGill University - Desautels Faculty of Management ( email )

1001 Sherbrooke Street West
Montreal, Quebec H3A 1G5
Canada

Mengyi Sha

Chinese Academy of Sciences (CAS) - University of Chinese Academy of Sciences ( email )

Building 7, NO. 80 Zhongguancun Road
Beijing, Beijing 100190
China

Shanling Li

McGill University ( email )

1001 Sherbrooke St. W
Montreal, Quebec H3A 1G5
Canada

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