Abstract
Fast-falling renewable energy costs and recent policy focus on rapid decarbonization of electricity grids have brought the distribution level planning under microscope. In this paper, we carry out the siting and sizing of distributed generation based on distribution locational marginal prices (DLMPs). The DLMP at each bus is computed using convex relaxation of alternating current optimal power flow (ACOPF). The optimality of the solution is compared with the existing results which use power loss as a metric for performance evaluation. The proposed approach is tested on an IEEE 69-bus distribution network, first on peak load demand and then on a time-varying load using actual solar and wind generation data. The time-varying load curve is predicted using a recurrent neural network. Furthermore, computation and accuracy for two different convex relaxations of ACOPF are compared to highlight the significance of the proposed method.
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