| Penulis/Author |
Dr. Ir. Mokhammad Isnaeni Bambang Setyonegoro, M.T. (1); Ir. Roni Irnawan, S.T., M.Sc., Ph.D., SMIEEE. (2); Ir. Lesnanto Multa Putranto, S.T., M.Eng, Ph.D., IPM., SMIEEE. (3); Ir. Eka Firmansyah, S.T., M.Eng., Ph.D., IPM. (4); WIJAYA YUDHA ATMAJA (5); N. Adi (6); Z. Arifin (7); R Gusti (8); D Prastianto (9); Prof. Ir. Sarjiya, S.T., MT., Ph.D., IPU. (10) |
| Abstrak/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 repre
sentative results for specific problems can be achieved without assuming urban and rural feeders have the same
specific problems. |
