1. Placement and sizing distributed generation using K-means clustering in ULP Sungguminasa 165-bus radial distribution system.
- Author
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Akhmad, Satriani Said, Faraby, Muhira Dzar, Bachtiar, Muhammad Imran, Ali, Muhammad Fahreza, Salim, Agus, Purwito, Purwito, Mustika, Mustika, Sonita, Anisya, Sirad, Mochammad Apriadi Hadi, and Mansur, Ilyas
- Subjects
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DISTRIBUTED power generation , *K-means clustering , *ELECTRICAL energy , *RENEWABLE energy sources , *POWER resources , *VEHICLE routing problem - Abstract
The value of large losses and poor voltage profiles are the main problems in the radial distribution system (RDS) in delivering electrical energy to customers. Go green is a consideration in an effort to maintain and improve system performance. The presence of Distributed Generation (DG) technology based on the utilization of new renewable energy is a new breakthrough that is utilized in supplying environmentally friendly electrical energy capable of reducing losses and increasing bus voltage levels by supplying active power to the system. This study tries to optimize the location and size of the DG using the K-Means Clustering method. The objective function is to reduce losses which are validated in the ULP Sungguminasa 165-bus RDS 20 kV electrical system based on the MATLAB programming. The simulation results show that from all existing scenarios, the placement of 3 DG units on buses 100, 123 and 36 with a total capacity of 8,601+j5,350 MW can reduce power losses by up to 89.13% or 278,529 kW and increase the bus voltage level with an average of 19.93 kV. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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