Abstract
Because of use of alternative energy sources, the number of small production plants connected to a distribution system tends to increase continuously, especially solar energy based on photovoltaic cells. It happens due to excess of energy production in homes, condos, trades or industries with own generation sources. The present work aims to develop a methodology to locate and size power generation units in distribution feeders so that system losses become minimal. The methodology uses initially the tree-gradient method to determine the total amount of power that must be injected at each network node, in order to minimize active losses. Then, a discretization process is adopted in order to allocate the whole optimal generation to a restricted subset of nodes that will be responsible for active generation. The methodology is complemented with a post-optimization algorithm that combines clustering, tree gradient method and a Genetic Algorithm (GA) to determine the best node(s) and the respective power(s) to be injected so that losses are minimal. The main result is the set of nodes where groups of consumers with own generation should be connected.
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