Study of rooftop PV hosting capacity in 20 kV systems in facing distributed generation penetration

Setyonegoro, M.I.B. and Irnawan, R. and Putranto, L.M. and Firmansyah, E. and Atmaja, W.Y. and Adi, N. and Arifin, Z. and Gusti, R. and Prastianto, D. and Sarjiya, Sarjiya (2024) Study of rooftop PV hosting capacity in 20 kV systems in facing distributed generation penetration. Results in Engineering, 23. pp. 1-14. ISSN 25901230

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Abstract

With the increasing request for integrating rooftop photovoltaic (PV) systems into the distribution grid, it is crucial to prevent the potential negative impacts of high PV penetration. Considering the uncertainty and variability characteristics of high rooftop PV penetration, a stochastic approach for determining PV hosting capacity (HC)—the maximum capacity of a PV system to receive electricity from the power distribution network before the network reaches an operating limit violation—is necessary. Therefore, this study proposes calculating PV hosting capacity using the Monte Carlo simulation. Unlike previous works, this paper uses real feeders as case studies, representing both urban and rural areas. The feeder representing an urban area with many industrial and business customers has a higher hosting capacity, 31 of full load, compared to the feeder representing rural areas, which has 18 of full load. By using actual feeders that represent urban and rural areas, more representative results for specific problems can be achieved without assuming urban and rural feeders have the same specific problems. © 2024

Item Type: Article
Additional Information: Cited by: 1; All Open Access, Hybrid Gold Open Access
Uncontrolled Keywords: Electric loads; Feeding; Intelligent systems; Monte Carlo methods; Rural areas; Stochastic systems; Distribution grid; Full-load; Hosting capacity; Monte carlo; Photovoltaics; Rooftop photovoltaic; Rooftop photovoltaic systems; Specific problems; Uncertainty and variability; Urban and rural areas; Distributed power generation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Rita Yulianti Yulianti
Date Deposited: 17 Jun 2025 00:47
Last Modified: 17 Jun 2025 00:47
URI: https://ir.lib.ugm.ac.id/id/eprint/12970

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