Affiliation:
1. Electrical Engineering Department , National Institute of Technology Warangal , Warangal , India
Abstract
Abstract
Electric vehicles (EVs) load and its charging methodologies play a significant role in distribution system planning. The inaccurate modelling of EV load may overload the distribution system components, increase in Network Power Loss (NPL) and Maximum Voltage Deviation (MVD). The Constant Power (CP) load model is more popularly used to model both the conventional and EV loads in the distribution system. But the CP load modelling cannot provide accurate information of EV charging process. In this paper, the EV load is modelled as constant Impedance-constant Current-constant Power (ZIP), Exponential, Constant Current and Constant Power load models and the conventional loads are modelled as Residential–Industrial–Commercial (RIC) and Constant Power load models. With these EV and conventional load models, the optimal site and size of Fast Charging Stations (FCSs) in the distribution system have been determined. Further, to analyse the impact of load of FCSs in the distribution system, the distribution indices are calculated. The multi-objective hybrid SFL-TLBO algorithm has been used to determine the optimal location and size FCSs with the minimization of NPL, MVD and EV User Cost (EVUC) in the distribution system. To consider the uncertainty of the initial SOC of EVs, the Monte-Carlo simulation technique has been used. These studies have been carried out on 38-bus distribution system and substantiate results are presented.
Subject
Energy Engineering and Power Technology
Reference38 articles.
1. Speidel, S, Jabeen, F, Olaru, D, et al.. Analysis of Western Australian electric vehicle and charging station trials. In: Proc. Int. Conf. on Australian Transport Research Forum, Perth, Australia; 2012:1–12 pp.
2. Mota, L, Mota, A. Load modeling at electric power distribution substation using dynamic load parameters estimation. Electr. Power Energy Syst. 2004;26:805–11. https://doi.org/10.1016/j.ijepes.2004.07.002.
3. Qian, K, Zhou, C, Allan, M, et al.. Modeling of load demand due to EV battery charging in distribution systems. IEEE Trans Power Syst 2011;26:802–10. https://doi.org/10.1109/tpwrs.2010.2057456.
4. Pandey, A, Jereminov, M, Li, X, Hug, G, Pileggi, L. Aggregated load and generation equivalent circuit models with semi-empirical data fitting. In: 2016 IEEE Green Energy and Systems Conference (IGSEC), Long Beach, CA, USA; 2016:1–6 pp. https://doi.org/10.1109/IGESC.2016.7790066.
5. Shafiee, S, Fotuhi-Firuzabad, M, Rastegar, M. Investigating the impacts of plug-in hybrid electric vehicles on power distribution systems. IEEE Trans. Smart Grid 2013;4:1351–60. https://doi.org/10.1109/tsg.2013.2251483.
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