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Probabilistic Analysis with DC-OPF for Distributed Generation with the Insertion of Wind and Photovoltaic Farms

Abstract:

The Matpower toolbox for Matlab was executed and the results of an optical flow of probabilistic power in the IEEE 9-bar test system were analyzed, this case corresponds to the Garver test system, which consists of 9 nodes, 3 generators and 3 loads for analysis purposes, it is considered the installation of a wind farm of 10 generators in node 7 headers that are considered to be the wind behaves according to a Weibull distribution, later a photovoltaic solar plant has a nominal power (at the point of maximum power, at standard STC conditions) of 200 W (per cells), system loads vary due to a normal distribution function with standard deviation (s) of 25% concerning its expected value (mean µ). It was assumed that the expected value of each load corresponds to the data of the blob: https://web.whatsapp.com/4e78e595-d745-41e9-aeaa-880ed1cc889b base case 9 of Matpower. Both cases are programmed separately and analyzed at two different hours at 09:00 and 14:00, obtaining dispatch costs and power flows, through the modeling of stochastic input variables simulates a flow of the same probabilistic power that analyzes the influence of penetration in both cases and the variability of demand.