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

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.

An approach to planning the extension of distributed power supplies to the distribution network, taking into account uncertainty

“…However, under the constraints of geographical conditions, issues such as siting and capacity setting in the process of grid connection are also one of the challenges in the planning of distribution network expansion. On an economic level, after the two are connected to the grid, it will inevitably reduce the amount of electricity purchased from conventional energy sources, making some distribution companies less economically efficient [14][15]. Moreover, the main sources of distributed power sources are basically new energy types, which correspond to relatively large installation and investment costs, and are also the cause of more uncertainties in the distribution network expansion planning methods.…”