Doctor of Philosophy (PhD)
Electrical and Computer Engineering
This Research addresses the optimal operation and scheduling of reconfigurable power grids incorporating the dynamic line rating (DLR) limitations. The incorporation of the dynamic line rating of the overhead feeders can potentially improve the system security when providing economical and technical benefits for the power grids. The DLR constraint can potentially effect the output power of generation units, transmission, and distribution network. Hence, the proposed problem is tested on the maintenance-scheduling problem as the generation and transmission level as well as the microgrid as the special case of the distribution network. The proposed problem takes into account a realistic formulation to minimize the total microgrid costs considering both connected and multi-period islanding modes. A stochastic framework based on unscented transform (UT) is proposed to model the uncertainties associated with the renewable energy sources (RESs) output power, market energy price, load demand as well as the weather uncertain parameters such as solar radiation, wind speed, and ambient temperature. Due to the high nonlinearity and complexity of the proposed problem, an efficient optimization algorithm based on collective decision optimization algorithm (CDOA) is proposed. A new two-stage modification method is also developed to improve the algorithm search ability and avoid premature convergence. The simulation results show the effectiveness of the proposed model and verify its economic and reliability merits.
Dabbaghjamanesh, Morteza, "Stochastic Energy Management of Reconfigurable Power Grids in the Presence of Renewable Energy by Considering Practical Limitations" (2019). LSU Doctoral Dissertations. 4816.
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