Optimal Placement and Sizing of PV as DG for Losses Minimization Using PSO Algorithm: A Case in Purworejo Area

Wicaksana, Muhammad Galih Sukma and Putranto, Lesnanto Multa and Waskito, Fikri and Yasirroni, Muhammad (2020) Optimal Placement and Sizing of PV as DG for Losses Minimization Using PSO Algorithm: A Case in Purworejo Area. In: 2020 International Conference on Sustainable Energy Engineering and Application (ICSEEA), 18-20 November 2020, Tangerang, Indonesia.

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Abstract

The Total distribution system losses of PT PLN ULP Purworejo reach 10.467as technical and non-technical losses which were very high compare to the maximum limit (5). In this research, Photovoltaics (PV) Distributed Generation (DG) was installed as an active power injection to reduce the system's losses. This research determined the hosting capacity of PV including the location and capacity of the PV. The problem was modeled into an optimization problem and was simulated using Particle Swarm Optimization (PSO) algorithm in MATLAB environment. The simulation was considered the voltage, power factor (pf), and branch current as constraints. The simulation was conducted on the existing system of Feeder 7 of PT PLN ULP Purworejo distribution system. Backward Forward Sweep (BFS) method was used for load flow analysis. As the load flow analysis result, the technical losses on a feeder 7 reach 2.676 of feeder 7 supply. The simulation results showed that by installing optimal distributed PV, the technical losses in feeder 7 were reduced to 1.351. The overall losses of PT PLN ULP Purworejo become 10.045. © 2022 Elsevier B.V., All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 13
Uncontrolled Keywords: Distributed power generation; Electric load flow; Feeding; MATLAB; Active power; Distribution system loss; Load flow analysis; Losses minimizations; Non-technical loss; Optimal placement and sizings; Particle swarm optimization algorithm; Photovoltaic distributed generations; Photovoltaics; Technical loss; Particle swarm optimization (PSO)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Sri JUNANDI
Date Deposited: 26 Sep 2025 03:18
Last Modified: 26 Sep 2025 03:18
URI: https://ir.lib.ugm.ac.id/id/eprint/20713

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