ANALYSIS OF EV HOSTING CAPACITY ON THE DISTRIBUTION ELECTRICITY NETWORK OF PT PLN (PERSERO) UID LAMPUNG IN THE CITY OF BANDAR LAMPUNG REGION

• Main Author: Shubhy, Dzulfikar
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/86845
• Institution: Institut Teknologi Bandung

The rapid growth and widespread use of electric vehicles (EVs) presents challenges to electrical distribution networks, particularly those run by PT PLN (Persero) in Bandar Lampung, Indonesia. As the number of EVs grows, precise measurement of the network's Hosting Capacity (HC) becomes increasingly important for assuring the smooth integration of these new loads without jeopardizing grid stability. The HC assessment involves identifying the maximum number of EVs that can be accommodated on the distribution network while not exceeding heat and voltage restrictions, which are critical for network dependability. This study focuses on modeling and analyzing the HC of EVs within PT PLN's 20 kV distribution network in Bandar Lampung, using a novel method that combines stochastic load profiling and advanced simulation tools. Monte Carlo simulations are used to simulate daily EV charging demand scenarios, and machine learning algorithms improve the study's predictive potential by recognizing complex connections and patterns in the load data. Using network modeling techniques such as DIgSILENT, the study provides a comprehensive evaluation of how different EV penetration scenarios affect network performance. The results show that the current network can accommodate a total of 112,050 EVs, with an average hosting capacity of 2,333 units per 20 kV feeder. However, forecasts indicate that by 2036, eight feeders will have exceeded their hosting capacity restrictions due to increased load demand from EV charging. This emphasizes the need for purposeful interventions, such as targeted infrastructure upgrades, improved load management strategies, and adaptive networks.