Electric Vehicle Charging Management in Smart Energy Communities to Increase Renewable Energy Hosting Capacity
Abnormal climates due to global warming have emerged as a big concern in the global community. To mitigate climate change and achieve sustainability, distributed energy resources (DERs), including solar and wind, have been recently deployed in power systems. As the penetration level of DERs has increased, however, it caused a multitude of issues in the power systems, such as voltage fluctuation in the distribution network limiting renewable hosting capacity. On the other hand, the electric vehicle (EV) industry is rapidly growing to facilitate the transition to a carbon-neutral community, illuminating the potential of EVs as a flexible grid asset to mitigate some of the issues and improve grid operation, if properly exploited. To explore the potential of EVs, this paper proposes an EV scheduling strategy. By using an optimal EV charging scheduling proposed, distribution system operators (DSOs) can minimize their operating costs and stably operate the system with a high level of DERs. To validate the method, a modified IEEE 33-bus system with DERs is developed. The case study shows the proposed scheduling strategizes EV charging to reduce the cost of PV curtailment. In the study, the method outperforms the renewable-only case with curtailment by 4.97% in DSO cost. It also demonstrates its potential to increase the renewable hosting capacity by harmonizing EV charging with renewables.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 2203232
- Report Number(s):
- NREL/CP-5D00-87819; MainId:88594; UUID:c30a4009-a977-4fca-9012-6b6f2bcbaf04; MainAdminID:70907
- Country of Publication:
- United States
- Language:
- English
Addressing technical challenges in 100% variable inverter‐based renewable energy power systems
|
journal | May 2020 |
Operation Strategy of Shared ESS Based on Power Sensitivity Analysis to Minimize PV Curtailment and Maximize Profit
|
journal | January 2020 |
| Wind and Solar Energy Curtailment: Experience and Practices in the United States | report | March 2014 |
Model Predictive Control for EV Aggregators Participating in System Frequency Regulation Market
|
journal | January 2021 |
Similar Records
Pricing Strategy of Electric Vehicle Aggregators Based on Locational Marginal Price to Minimize Photovoltaic (PV) Curtailment
A Mid-Term DSO Market for Capacity Limits: How to Estimate Opportunity Costs of Aggregators?
Evaluation of Aggregated EV Flexibility With TSO-DSO Coordination
Journal Article
·
2025
· IEEE Access
·
OSTI ID:2530906
A Mid-Term DSO Market for Capacity Limits: How to Estimate Opportunity Costs of Aggregators?
Journal Article
·
2020
· IEEE Transactions on Smart Grid
·
OSTI ID:1605028
Evaluation of Aggregated EV Flexibility With TSO-DSO Coordination
Journal Article
·
2022
· IEEE Transactions on Sustainable Energy
·
OSTI ID:1902352