2016 International Conference on Frontiers of Information Technology (FIT) (2016)
Dec. 19, 2016 to Dec. 21, 2016
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FIT.2016.057
Unit commitment of microgrids faces new challenges as the integration of demand response programs and renewable generation increases. In order to address these challenges, robust optimization is utilized for quantifying the impact of demand response uncertainty on the unit commitment of microgrids in this paper. Uncertainties in both shiftable (pricebased demand response) and curtailable (incentive-based demand response) loads are considered in this study. Initially, a cost-minimization deterministic model is formulated. Then, it is transformed to a min-max robust counterpart and finally, a tractable robust counterpart is formulated. The effects of uncertainty on trading power with the utility grid, operation cost, unit commitment of dispatchable generators, and state of charge of battery energy storage system are quantified. Simulations results have proved the robustness of proposed strategy.
Uncertainty, Load modeling, Microgrids, Mathematical model, Load management, Robustness, Linear programming
A. Hussain, V. Bui and H. Kim, "Impact Quantification of Demand Response Uncertainty on Unit Commitment of Microgrids," 2016 International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan, 2016, pp. 274-279.