Grid Impacts of Uncoordinated Fast Charging of Electric Ferry
Source abstract
Abstract
The battery energy storage system (BESS) is an indispensable part of an electric fleet (EF) which needs to be charged by electricity from local grid when the fleet is in the dockyard. The uncoordinated fast charging of BESS in Grid to Ferry (G2F) mode imposes sudden increments of load in the power grid, which is analyzed by a simulated model of grid connected marine load. The probable impact on system stability is examined by MATLAB Simulink and Power World Simulator based models. According to simulation results for IEEE 5 bus system, voltage unbalance factors are 0.01% and 200% for all buses at fundamental and third harmonics frequencies, respectively. The total harmonic distortion (THD) at fundamental frequency becomes 0.16%, 0.16%, and 0.18%, respectively, for three cases. The transient, voltage reactive power (V-Q), and voltage real power (V-P) sensitivity analysis are performed for 7 bus system with load increment contingencies. According to simulation results, the V-Q sensitivity for the assigned contingency is increased by the addition of a shunt generator to the load bus with lowest bus voltage. In case of V-P sensitivity for the selected contingency, the load buses share power among them, and the nose point is attained at maximum shift of power with high V-Q sensitivity.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Electric Vehicles and Infrastructure · Advanced Battery Technologies Research · Microgrid Control and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical and Electronic Engineering, Primeasia University, Dhaka 1213, Bangladesh
School of Engineering and Technology, Central Queensland University, Norman Gardens, QLD 4701, Australia
School of Maritime Electrical Engineering, University of Tasmania, Hobart, TAS 7005, Australia
References (27)
Show source-provided references
1. IEA (2017). World Energy Statistics 2017, OECD Publishing.
2. Smith, T.W.P., Jalkanen, J.P., Anderson, B.A., Corbett, J.J., Faber, J., Hanayama, S., O’Keeffe, E., Parker, S., Johansson, L., and Aldous, L. (2015). Third IMO GHG Study 2014, Micropress Printers.
3. Buhaug, Ø., Corbett, J.J., Endresen, Ø., Eyring, V., Faber, J., Hanayama, S., Lee, D.S., Lee, D., Lindstad, H., and Markowska, A.Z. (2009). Second IMO GHG Study 2009, CPI Books Limited.
4. Zavoda, F., Puertas, R.R., and Dupre, J.L. (2019, January 3–6). Impacts of fast charging stations on grid quality. Proceedings of the 25th International Conference on Electricity Distribution, CIRED, Madrid, Spain.
5. Quantification of bottlenecks to fast charging of lithium ion-insertion cells for electric vehicles10.1016/j.jpowsour.2014.07.106 ↗
6. Decentralized Charging of Plug-in Electric Vehicles with Distribution Feeder Overload Control10.1109/TAC.2016.2516240 ↗
7. A novel model of electric vehicle fleet aggregate battery for energy planning studies10.1016/j.energy.2015.05.030 ↗
8. A hierarchical framework for coordinated charging of plug-in electric vehicles in China10.1109/TSG.2014.2387436 ↗
9. Energy storage and smart energy systems
10. Vehicle-to-Grid Power Implementation: From Stabilizing the Grid to Supporting Largescale Renewable Energy10.1016/j.jpowsour.2004.12.025 ↗
11. Modeling the benefits of vehicle-togrid technology to a power system10.1109/TPWRS.2011.2178043 ↗
12. Skugor, B., and Deur, J. (October, January 27). A techno-economic analysis of an isolated energy system including electric delivery vehicle fleet and renewable energy sources. Proceedings of the 10th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), Dubrovnik, Croatia.
13. Impact analysis of vehicle to grid technology and charging strategies of electric vehicles on distribution networks—A review10.1016/j.jpowsour.2014.12.020 ↗
14. Optimal scheduling for charging and discharging of electric vehicles10.1109/TSG.2011.2173507 ↗
15. Parks, K., Denholm, P., and Markel, T. (2007). Costs and Emissions Associated with Plug-In Hybrid Electric Vehicle Charging in the Xcel Energy Colorado Service Territory, National Renewable Energy Laboratory. Tech. Rep. NREL/TP-640-41410.10.2172/903293 ↗
16. Schuller, A., Ilg, J., and Van Dinther, C. (2012, January 14–17). Benchmarking Electric Vehicle Charging Control Strategies. Proceedings of the 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), Berlin, Germany.10.1109/ISGT.2012.6175732 ↗
17. Battery Assisted Charging System for Simultaneous Charging of Electric Vehicles10.1016/j.energy.2016.01.069 ↗
18. Resilient scheduling portfolio of residential device sand plug-in electric vehicle by minimizing conditional value at risk10.1109/TII.2018.2847742 ↗
19. Scarabaggio, P., Carli, R., Cavone, G., and Dotoli, M. (2020). Smart Control Strategies for Primary Frequency Regulation through Electric Vehicles: A Battery Degradation Perspective. Energies, 13.10.3390/en13174586 ↗
20. 4th Generation District Heating (4GDH): Integrating smart thermal grids into future sustainable energy systems10.1016/j.energy.2014.02.089 ↗
21. Energy Scheduling of a Smart Microgrid with shared Photovoltaic Panels and Storage: The case of the Bllen Marina in Samsø10.1016/j.energy.2020.117188 ↗
22. Zhang, C., Chen, C., Sun, J., Zheng, P., Lin, X., and Bo, Z. (2014, January 7–10). Impacts of electric vehicles on the transient voltage stability of distribution network and the study of improvement measures. Proceedings of the 2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Hong Kong, China.10.1109/APPEEC.2014.7066085 ↗
23. Impact of electric vehicle fast charging on power system voltage stability10.1016/j.ijepes.2013.12.005 ↗
24. Dharmakeerthi, C.H., Mithulananthan, N., and Saha, T.K. (2011, January 13–16). Overview of the impacts of plug-in electric vehicles on the power grid. Proceedings of the Innovative Smart Grid Technologies (ISGT) Asia Conference, Perth, Australia.10.1109/ISGT-Asia.2011.6167115 ↗
25. The impact of charging plug-in hybrid electric vehicles on a residential distribution grid10.1109/TPWRS.2009.2036481 ↗
26. Optimizing the operation of energy storage using non-linear lithium-ion battery degradation model10.1016/j.apenergy.2019.114360 ↗
27. Definitions of voltage unbalance10.1109/39.920965 ↗