Abstract
In this paper, we present a model predictive control (MPC) based method for dynamic economic power scheduling in power grids. The proposed method is first applied to the power systems with relatively low penetration of renewable generation sources. The proposed MPC-based optimization method is then extended to the case, where a high penetration of renewable sources is expected. In the latter case, instead of considering power generated from renewable sources as a negative load, the system operator (SO) takes these sources into account as dispatchable in solving the scheduling problem. Various constraints pertinent to power systems including transmission congestion and generators' capacity are also considered in the optimization process. Consequently, we will show that the use of storage devices will be an effective way to reduce the cost of generation in the future generation of power systems. The effectiveness of the proposed power scheduling methods will be demonstrated using an IEEE 14-bus system combined with the California ISO data.
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