Electric Vehicle Integration using Large-Scale Combined Transmission and Distribution Grid Models
In this paper, we propose a unifying co-simulation framework integrating transportation demand, grid assets, land use, demographics, and emissions to optimally accelerate electric vehicle (EV) development as well as measure the impact of EV integration. 96 urban and long-haul truck charging demand simulations were developed and integrated into a combined transmission and distribution (T&D) simulation, encompassing the Houston/Dallas/Fort Worth area. The T&D scenarios are then used to develop cost optimization strategies to determine optimal placement and sizing of truck charging infrastructure that minimize infrastructure costs.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
SOC-Boundary and Battery Aging Aware Hierarchical Coordination of Multiple EV Aggregates Among Multi-stakeholders with Multi-Agent Constrained Deep Reinforcement Learning
As electric vehicles (EV) become more prevalent and advances in electric vehicle electronics continue, vehicle-to-grid (V2G) techniques and large-scale scheduling strategies are increasingly important to promote renewabl…
Deep Reinforcement LearningSchedulingNexus of Team Collaboration Stability on Mega Construction Project Success in Electric Vehicle Manufacturing Enterprises: The Moderating Role of Human-AI Integration
This study investigates how team collaboration stability influences the success of mega construction projects in electric vehicle manufacturing enterprises, with human-AI integration as a moderating variable. Using struc…
ManagementNational-scale bi-directional EV fleet control for ancillary service provision
Deploying real-time control on large-scale fleets of electric vehicles (EVs) is becoming pivotal as the share of EVs over internal combustion engine vehicles increases. In this paper, we present a Vehicle-to-Grid (V2G) a…
An Integer Clustering Approach for Modeling Large-Scale EV Fleets with Guaranteed Performance
Large-scale integration of electric vehicles (EVs) leads to a tighter integration between transportation and electric energy systems. In this paper, we develop a novel integer-clustering approach to model a large number …
ClusteringComputational EfficiencyDecision MakingCost-optimal Fleet Management Strategies for Solar-electric Autonomous Mobility-on-Demand Systems
This paper studies mobility systems that incorporate a substantial solar energy component, generated not only on the ground, but also through solar roofs installed on vehicles, directly covering a portion of their energy…
Autonomous VehiclesManagement