Micro-Spatial Electricity Planning in Urban Area Based on Energy Demand

Electricity infrastructure in the urban area is challenged by the rapid energy demand despite limited area, area density, and dynamic changes in land use. Electricity planning needs to be developed for the correct target and carry out the aspects of quality, efficiency, and continuity. The current planning of electricity is using top to down approach for energy demand forecasting, which generates a macro-based result. However, sectoral energy demand forecasting is unable to locate electrical substations accurately. The problem is worsened by the rapid development in the area. This research conducted micro-spatial electricity planning, in which classifying districts into grids and elaborating energy demand from the smallest grid (district) to the wider area (cities/regencies). The results of forecasting were taken as the references in determining the standard of distribution network design. It includes the calculation of transformer rating and capacity, a total of distribution substations, and a total of substations by referring to the existing condition and area development. Accordingly, the result of electricity planning in urban area is more accurate, detail, and right on target.