Impact of public and residential smart EV charging on distribution power grid equipped with storage
Bibliographic Data
| ID | 21233929 |
|---|---|
| Authors | Mutayab Khalid (KTH Royal Institute of Technology), Jagruti Thakur (0000-0001-5742-6457, KTH Royal Institute of Technology, corresponding author), Sivapriya Mothilal Bhagavathy (0000-0003-3200-4308, University of Strathclyde), Monika Topel (0000-0002-8888-4474, KTH Royal Institute of Technology) |
| Year | 2024 |
| Volume | 104 |
| Pages | 105272 |
| Publication date | 2024-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2024.105272 |
| OpenAlex | W4391733011 |
| Language | EN |
| Citations received | 6 |
| References cited | 21 |
The large-scale penetration of electric vehicles (EV) in road transport brings a challenging task to ensure the balance between supply and demand from urban districts. EVs, being shiftable loads can provide system flexibility. This work investigates the potential role of smart charging of EVs in mitigating the impact of the integration of a mix of residential and public EV charging infrastructure on power networks. Furthermore, the impact of integrating solar photo-voltaic (PV) and battery energy storage systems (BESS) has been explored where BESS improves PV self-consumption and helps in peak shaving during peak load hours. Annual losses, transformer congestion, and cost of electricity import assessment are detailed by considering the power network of Stockholm as a case study. Smart charging with loss-optimal and cost-optimal charging strategies are compared to uncoordinated charging. The cost-optimal charging strategy is more favorable as compared to the loss-optimal charging strategy as it provides more incentives to the DSOs. The loss-optimal charging strategy reduces 35.5%of losses in the network can be reduced while the cost-optimal solution provides a 4.3% reduction in the electricity cost. The combined implementation of smart charging, PV, and BESS considerably improves energy and economic performance and is more effective than EV smart charging alone
Electrical engineering · Electricity · Energy storage · Environmental economics · Grid · Incentive · Peak demand · Photovoltaic system · Reliability engineering · Smart grid · Advanced battery technologies research · Computer Science · Electric Vehicles and Infrastructure · Engineering · Smart Grid Energy Management · Automotive Engineering
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Multi-objective energy management for EV charging in residential buildings
Optimizing hybrid power networks to facilitate equitable access to electricity
Large-scale EV charging scheduling considering on-site PV generation by combining an aggregated model and sorting-based methods
Assessment of coupled PV-EV penetration in a grid-connected district energy system with scheduled charging
Different charging infrastructures along with smart charging strategies for electric vehicles
A novel two stage approach for electric taxis charging station site selection
Characterizing energy flexibility of buildings with electric vehicles and shiftable appliances on single building level and aggregated level
Stochastic charging of electric vehicles in smart power distribution grids
Identifying optimal locations for community electric vehicle charging
| Citations per year | 3 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |