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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A local search algorithm to allocate loads predicted by spatial load forecasting studies

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Author(s):
Melo, Joel D. ; Zambrano-Asanza, Sergio ; Padilha-Feltrin, Antonio
Total Authors: 3
Document type: Journal article
Source: Electric Power Systems Research; v. 146, p. 206-217, MAY 2017.
Web of Science Citations: 2
Abstract

In recent years, spatial load forecasting studies have helped to direct the expansion of the distribution systems in cities with rapid urban growth, providing maps that showing the spatial distribution of expected load. However, these Maps do not allow to determine how load varies on the existing network elements. This information is important to define the reinforcements or the installation of new facilities in the electrical distribution network. In order to help planners in such decisions, a search method to allocate the loads resulting from spatial load forecasting studies is presented. This method treats each of these forecast loads as new load center to be connected to an existing distribution feeder. To find the path from a load center, the proposed method uses a list of its nearby feeders. Allocation depends on the path cost function, which is calculated based on the supply capability of the network elements. The proposal chooses the shortest path with sufficient capacity to supply the new load, i.e., it finds the path with minimal cost function for list of nearby feeders. The result is the final available capability of existing networks (after the allocation process) to supply the expected loads in the geographic area. The method is tested using the results of a spatial load forecast for a real distribution system in a medium-sized Brazilian city. In this test system, the load allocation influenced the number of network elements to be reinforced. The proposal was compared to commercial software, showing a configuration with smaller numbers of overload elements and a lower cost of expansion to the most overloaded feeders. (C) 2017 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 14/06629-0 - SPATIAL LOAD FORECASTING FOR DISTRIBUTION SUBSTATION USING A HYBRID METHOD
Grantee:Joel David Melo Trujillo
Support Opportunities: Scholarships in Brazil - Post-Doctoral