Informasi Umum

Kode

23.05.354

Klasifikasi

621.33 - Electric Power Transmission for Railroads

Jenis

Karya Ilmiah - Thesis (S2) - Reference

Subjek

Electric Power - Generation

Informasi Lainnya

Abstraksi

<p>Most of the 3T (Outermost, Frontier, Underdeveloped) areas in Indonesia are<br /> inhabited island areas with limited space or mountainous areas or river upstream<br /> areas that are difficult to access. Currently, power generation planning in small and<br /> non-grid interconnected systems does not use probabilistic or economic<br /> optimization methods, but rather deterministic methods. In this method, planning is<br /> made with a maximum N-2 criteria, which means reserves must be greater than the<br /> first and second largest units by one unit. The definition of reserves here is the<br /> difference between the total capable power of existing generators and peak load. It<br /> is expected that the reserve margin in isolated systems also meets a minimum<br /> constraint of 30%. In preparing the power balance at several locations in the 3T<br /> areas, the installed generator capacity planning is generally much larger than the<br /> power demands in those areas, which then causes high generation cost in the area.<br /> This research proposes the use of spatial electricity demand forecasting<br /> methods as an alternative that is suitable for the demand characteristics in the 3T<br /> areas. The spatial approach in power planning was first proposed by Van Wormer.<br /> This approach was then applied in distribution systems according to Lee Wilis's<br /> idea. Furthermore, this spatial demand forecasting was developed in various other<br /> electricity planning models. S. Sasmono proposed its use for transmission planning<br /> and non-grid electricity transition planning on islands to grid-based electricity<br /> systems.<br /> Based on the temporary hypothesis, the characteristics of electricity users in<br /> the 3T area are similar to those in areas that are transitioning from non-grid to gridsupported<br /> areas. Thus, there is an opportunity to apply spatial electricity demand<br /> forecasting in the 3T area, which will be followed by electricity development<br /> planning that has the potential to provide efficient power generation cost estimates<br /> in the 3T area.<br /> <strong>Keywords: Isolated Area, Non-Grid, Optimization, Spatial Electricity<br /> Demand Forecasting, Probabilistic</strong></p>

• TTI7Z4 - TESIS

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