Abstract
With the large-scale renewable energy generation system connected to the power grid, the operation of modern power system shows significant uncertainty. Aiming at the uncertainties of wind turbine (WT), photovoltaic (PV) and load, a new day-ahead optimal scheduling model is proposed in this paper for minimizing daily total operating costs of the power system by using interval linear programming. The uncertainties of the renewable energy generation output and load power are described as interval numbers. Taking into account the charging and discharging characteristics of energy storage system (ESS) and generation units, a daily economic optimization dispatching model of the power system based on interval linear programming is established The model is transformed into two solvable sub-models of the deterministic problems and solved by applying the CPLEX solver. Finally, the impacts of the uncertainties of renewable energy and load on the optimization results are discussed. The results of the example verify the good robust performance of the proposed method, and show the effectiveness of solving the uncertainty optimization problem.
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