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On the Complementarity of Shared Electric Mobility and Renewable Energy Communities

Julien Allard, Noé Diffels, François Vallée, Bertrand Cornélusse, Zacharie De Grève

TL;DR

The paper addresses aligning shared mobility (MSP) with local Renewable Energy Communities (REC) to reduce mobility and energy costs while supporting grid operation. It develops a long-term, mixed-integer second-order cone programming framework that co-optimizes EV fleet sizing, charging-station deployment, and local energy exchanges under DistFlow constraints, including V2G. Through a 21-bus LV network case study with 20 EC members, it demonstrates up to 11.3% annual cost savings and substantial gains in local PV utilization when MSP and REC coordinate, with further gains under peak-tariff and V2G scenarios. The work highlights the complementarity between MSP and REC, the impact of charging-station siting, and the flexiblity potential of EVs to reduce DSO peak charges, while noting the need for scalable solution methods for larger networks and longer horizons.

Abstract

Driven by the ongoing energy transition, shared mobility service providers are emerging actors in electrical power systems which aim to shift combustion-based mobility to electric paradigm. In the meantime, Energy Communities are deployed to enhance the local usage of distributed renewable production. As both ators share the same goal of satisfying the demand at the lowest cost, they could take advantage of their complementarity and coordinate their decisions to enhance each other operation. This paper presents an original Mixed-Integer Second Order Cone Programming long-term Electric Vehicle fleet planning optimization problem that integrates the coordination with a Renewable Energy Community and Vehicle-to-Grid capability. This model is used to assess the economic, energy, and grid performances of their collaboration in a 21 buses low-voltage distribution network. Key results show that, both actors coordination can help reducing the yearly cost up to 11.3 % compared to their stand-alone situation and that it may reduce the stress on the substation transformer by 46 % through the activation of the inherent EVs flexibility when subject to peak penalties from the grid operator.

On the Complementarity of Shared Electric Mobility and Renewable Energy Communities

TL;DR

The paper addresses aligning shared mobility (MSP) with local Renewable Energy Communities (REC) to reduce mobility and energy costs while supporting grid operation. It develops a long-term, mixed-integer second-order cone programming framework that co-optimizes EV fleet sizing, charging-station deployment, and local energy exchanges under DistFlow constraints, including V2G. Through a 21-bus LV network case study with 20 EC members, it demonstrates up to 11.3% annual cost savings and substantial gains in local PV utilization when MSP and REC coordinate, with further gains under peak-tariff and V2G scenarios. The work highlights the complementarity between MSP and REC, the impact of charging-station siting, and the flexiblity potential of EVs to reduce DSO peak charges, while noting the need for scalable solution methods for larger networks and longer horizons.

Abstract

Driven by the ongoing energy transition, shared mobility service providers are emerging actors in electrical power systems which aim to shift combustion-based mobility to electric paradigm. In the meantime, Energy Communities are deployed to enhance the local usage of distributed renewable production. As both ators share the same goal of satisfying the demand at the lowest cost, they could take advantage of their complementarity and coordinate their decisions to enhance each other operation. This paper presents an original Mixed-Integer Second Order Cone Programming long-term Electric Vehicle fleet planning optimization problem that integrates the coordination with a Renewable Energy Community and Vehicle-to-Grid capability. This model is used to assess the economic, energy, and grid performances of their collaboration in a 21 buses low-voltage distribution network. Key results show that, both actors coordination can help reducing the yearly cost up to 11.3 % compared to their stand-alone situation and that it may reduce the stress on the substation transformer by 46 % through the activation of the inherent EVs flexibility when subject to peak penalties from the grid operator.

Paper Structure

This paper contains 18 sections, 10 equations, 1 figure, 5 tables.

Table of Contents

  1. Introduction
  2. Brief review of the related work
  3. Contributions and paper organization
  4. Framework and Main Assumptions
  5. Mobility Service Provider
  6. Energy Community
  7. Mathematical Models
  8. Investment and operational cost
  9. Binary investment constraints
  10. Ride-EV assignment constraints
  11. EV and CS operational constraints
  12. Power balance constraints
  13. Power Flow Equations
  14. Numerical Experiments and Validation
  15. Collaborating to reduce energy supply cost
  16. ...and 3 more sections

Figures (1)

  • Figure 1: Low Voltage distribution network considered as a case study.