Study on a Dual-Dimensional Compensation Mechanism and Bi-Level Optimization Approach for Real-Time Electric Vehicle Demand Response in Unified Build-and-Operate Communities

With the rapid growth of residential electric vehicles, synchronized charging during peak periods can induce severe load ramping and exceed distribution network capacity limits. To mitigate these issues, governments have promoted a unified build-and-operate community model that enables centralized coordination of community charging and ensures real-time responsiveness to grid dispatch signals. Targeting this emerging operational paradigm, a dual-dimensional compensation mechanism for real-time electric vehicle (EV) demand response is proposed. The mechanism integrates two types of compensation: power regulation compensation, which rewards users for providing controllable power flexibility, and state-of-charge (SoC) loss compensation, which offsets energy deficits resulting from demand response actions. This dual-layer design enhances user willingness and long-term engagement in community-level coordination. Based on the proposed mechanism, a bi-level optimization framework is developed to realize efficient real-time regulation: the upper level maximizes the active response capacity under budget constraints, while the lower level minimizes the aggregator’s total compensation cost subject to user response behavior. Simulation results demonstrate that, compared with conventional fair-share curtailment and single-compensation approaches, the proposed mechanism effectively increases active user participation and reduces incentive expenditures. The study highlights the mechanism’s potential for practical deployment in unified build-and-operate communities and discusses limitations and future research directions.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2025-12-19
DOI
https://doi.org/10.3390/wevj17010004
Primary Topic
Electric Vehicles and Infrastructure
Type
article
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article

Study on a Dual-Dimensional Compensation Mechanism and Bi-Level Optimization Approach for Real-Time Electric Vehicle Demand Response in Unified Build-and-Operate Communities

Guoqiang Zu, Shuang Hao
World Electric Vehicle Journal
Electric Vehicles and Infrastructure
article

Study on a Dual-Dimensional Compensation Mechanism and Bi-Level Optimization Approach for Real-Time Electric Vehicle Demand Response in Unified Build-and-Operate Communities

Guoqiang Zu, Shuang Hao
article en

Abstract

With the rapid growth of residential electric vehicles, synchronized charging during peak periods can induce severe load ramping and exceed distribution network capacity limits. To mitigate these issues, governments have promoted a unified build-and-operate community model that enables centralized coordination of community charging and ensures real-time responsiveness to grid dispatch signals. Targeting this emerging operational paradigm, a dual-dimensional compensation mechanism for real-time electric vehicle (EV) demand response is proposed. The mechanism integrates two types of compensation: power regulation compensation, which rewards users for providing controllable power flexibility, and state-of-charge (SoC) loss compensation, which offsets energy deficits resulting from demand response actions. This dual-layer design enhances user willingness and long-term engagement in community-level coordination. Based on the proposed mechanism, a bi-level optimization framework is developed to realize efficient real-time regulation: the upper level maximizes the active response capacity under budget constraints, while the lower level minimizes the aggregator’s total compensation cost subject to user response behavior. Simulation results demonstrate that, compared with conventional fair-share curtailment and single-compensation approaches, the proposed mechanism effectively increases active user participation and reduces incentive expenditures. The study highlights the mechanism’s potential for practical deployment in unified build-and-operate communities and discusses limitations and future research directions.

World Electric Vehicle JournalVol. 17(1)
Tianjin Research Institute of Electric Science (China) (CN)
Openalex Percentile: Top 58%
Electric Vehicles and Infrastructure
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