APPLICATION OF FUZZY MULTIOBJECTIVE DECISION-MAKING IN SPATIAL LOAD FORECASTING

Electric distribution system planning is to provide an economic expans ion plan to meet the future demands in its territory. A forecast of th e future electric demand and its geographic distribution is a prerequi site for distribution planning. The quality and accuracy of this forec ast have large influence on the quality of the electrical distribution system planning. Spatial load forecasting emerges to provide a more a ccurate prediction of both the magnitudes and locations of future elec tric loads. Since the load growth pattern is dominated by its land-use (residential, commercial, or industrial), the land usage study of sma ll area is important to capture the future loads accurately. There are many factors which will affect the customer land-use decision, for ex ample, distance to highway, distance to urban pole, and the costs. The customer's preferences can be estimated based on these objective fact ors. Then the land utilization and the electricity consumption can be estimated. Since the objectives sometimes are conflicting each other, it can be cumbersome to use conventional cost function approach to det ermine the land usage decision. This paper will apply fuzzy multiobjec tive decision making scheme to the urban redevelopment and spatial loa d forecasting, which is more naturally and straight forward used to ha ndle the spatial load forecasting problem. An example is used to illus trate the proposed methodology.