A new method for optimal expansion planning in electrical energy distribution networks with distributed generation resources considering uncertainties

Authors: AMIR MASOUD MOHAGHEGH, S YASER DERAKHSHANDEH, ABBAS KARGAR

Abstract: The present study aims to introduce a robust model for distribution network expansion planning considering system uncertainties. The proposed method determines optimal size and placement of distributed generation resources, as well as installation and reinforcement of feeders and substations. This model is designed to minimize cost and to determine the best time for the installation of equipment in the expansion planning. In the proposed expansion planning, the fuzzy logic theory is employed to model uncertainties of loads and energy price. Also, since the proposed model is a nonlinear and nonconvex optimization problem, a tri-stage algorithm is developed to solve it. Simulation results revealed that the proposed model would be capable to improving the performance of the expansion planning in distribution networks.

Keywords: Uncertainty, reliability, multistage expansion planning, optimal power flow, distributed generation resources

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