Nowadays, data analysis widely used in many fields especially in engineering. Clustering is one of data analysis methods to organize the amount of data into groups with similarity characteristics. One powerful analysis method to learn information by grouping data is clustering algorithms. The clustering advantages for electrical power utilities is to learn load behavior and provide information for power plant operation and also generation cost. In this paper, a simulation concept is proposed for analysis of peak load data by K-means clustering algorithm based on historical dataset. The results show electrical peak loads clustering by K-means algorithm are optimum classified into three clusters. This cluster evaluated by silhouette scores which high, intermediate, and low load level interpretation. One cluster has centroid during January, June, and July are relatively lower than another cluster caused by Indonesia national holiday. This concept also evaluates the load level affected by Covid-19 pandemic condition.

Nowadays, the integration of renewable energy sources, especially grid-connected photovoltaic, into electrical power systems, is increasing dramatically. There are several stimulants especially in the Java-Bali power system, including huge solar potential, a national renewable energy (RE) target, regulation support for prosumers, photovoltaic technology development, and multi-year power system planning. However, significant annual photovoltaic penetration can lead to critical issues, including a drop of netload during the day, ramping capability, and minimal load operation for thermal power plants. This study analyses the duck curve phenomenon in the Java-Bali power system that considers high shares of the baseload power plant and specific scenarios in photovoltaic (PV) penetration and electricity demand growth. This study also analyses future netload, need for fast ramping rate capability, and oversupply issues in the Java-Bali power system. The results showed that the duck curve phenomenon appears with a significant netload drop in the middle of the day because of high power generation from grid-connected PV. Furthermore, the need for fast ramp rate capability is critical for a higher peak load combined with the lowest netload valley. Moreover, the significant load growth with high grid-connected PV penetration level caused unit commitment issues for thermal power plants as baseload operators.

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Pulau Tomia merupakan salah satu pulau di Kabupaten Wakatobi, Provinsi Sulawesi Tenggara yang menggunakan konsep microgrid untuk melistriki masyarakatnya. Konsep microgrid tersebut mengintegrasikan Pembangkit Listrik Tenaga Disel (PLTD) dan Pembangkit Listrik Tenaga Surya (PLTS). Namun, saat ini kondisi sistem PLTS di Pulau Tomia tidak dapat memproduksi listrik karena terjadi permasalahan dan berdampak pada potensi energy not served (ENS) serta kerugian investasi dalam pembangunan sistem microgrid. Dalam makalah ini dijelaskan proses revitalisasi pada sistem PLTS di Pulau Tomia dengan harapan makalah ini dapat menjadi referensi pada proses revitalisasi PLTS di lokasi lainnya. Proses revitalisasi pada PLTS Tomia dilaksanakan melalui beberapa tahapan yaitu review desain eksisting PLTS Tomia, investigasi penyebab gangguan, inisiatif perbaikan, dan desain ulang PLTS Tomia.  Dari hasil investigasi gangguan dapat diketahui bahwa penyebab tidak beroperasinya PLTS Tomia adalah gangguan pada rangkaian PLTS, Grid Tied Inverter (GTI), dan elemen penyimpan (baterai). Berdasarkan hasil analisa lebih lanjut, didapatkan inisiatif perbaikan yang dapat ditindaklanjuti dengan hasil terbaik dan cara yang termudah, yaitu melakukan desain ulang pada rangkaian combiner box PLTS dan mengimplementasikan konsep GTI modular. Hal tersebut dilakukan agar keandalan PLTS tetap terjaga jika salah satu GTI mengalami permasalahan. Hasil revitalisasi menunjukkan bahwa nilai kualitas daya berupa harmonisa tegangan dan arus yang dihasilkan oleh GTI telah memenuhi standar. Selain itu, PLTS Tomia hasil revitalisasi mampu menghasilkan potensi penghematan Biaya Pokok Produksi (BPP) Listrik yang semula adalah sebesar Rp. 3080/kWh menjadi Rp. 2983/kWh.

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