Optimal Placement of EV Charging Station with Randomly Distributed PV System in Bishnumati Distribution Feeder Kathmandu, Nepal

Abstract

This thesis presents the optimal placement of EV charging stations with randomly distributed PV system. MATLAB software is used to analyze the load flow of distribution network using sweep algorithm. The Bishnumati feeder of Balaju DCS is used under analysis and IEE 33 bus system used for theoretical part for the load flow and EV stations. The 372 kW (mix of 60 kW and 42 kW) charging stations are considered and it is evaluated that the system loss increases and voltage regulation is found poor upto 0.732 pu at distribution secondary side voltage. This shows that EV charging capacity does not fulfilled by existing distribution network and transformer. The randomly distributed rooftop solar PV system is considered in this system as distributed generation and that allows the power to flow at day time. Genetic algorithm is used for the EV charging station location and size of PV. The total 1381.2 kW of PV system is used that improves the voltage to 0.84 pu. The system loss also decreases by using PV system and is reduced from 412.55 kW to 279.15 kW. The financial analysis shows the positive NPV and payback period of 12 years.