EV Charging Station Placement Strategy Considering Power Grid Impact for Future Expansion of EV in Kathmandu Valley: A Case Study of Sanepa Feeder
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IOE Pulchowk Campus
Abstract
Increasing concerns over the unsustainable fossil fuel consumption and initiatives to
achieve the Sustainable Development Goals (SDG), the interests over battery operated
electric vehicles (EVs) are increasing. While the primary infrastructure to flourish this
technology is charging stations, the impact of such load on the distribution network is
somehow being shadowed. When the load from EV chargers are being added to existing
power system, the voltage fluctuations and power loss are imminent. This study
analyzed the impact of addition of EV charging load on the Sanepa distribution
network. The system modelling was performed using DigSILENT PowerFactory tool
and the optimal placement of EV charging station along the feeder line was determined
using Particle Swarm Optimization (PSO) technique in MATLAB environment. The
impact of EV charging station load placement on the distribution network were studied
through the behavior analysis of Voltage stability, Reliability and Power loss (VRP)
parameters of the line before and after load addition. The results from impact analysis
on VRP index was used in defining the objective function for optimization. The optimal
locations for EV charging station placement were obtained which effectively addressed
concerns of power grid impact. This study shows random placement of EV charging
station loads cause severe effect on network quality while strategically placed loads not
only reduce the power grid impact but also increase system efficiency and reliability.
Description
With the increasing concern over the climate change and global warming, the need of
changes on mobility and power sector has been realized. The fuel powered
transportation sector is realized to be one of the most contributors to CO2 emissions
with 22 percent of CO2 emission in the year 2020 (Giannakis et al., 2020). As per the
UN data, between 2010 and 2015 only.