Optimal Operation of Regional Microgrids With Renewable and Energy Storage: Solution Robustness and Nonanticipativity Against Uncertainties

Due to prevailing uncertainties of renewable energy and time coupling constraints of energy storage (ES), robustness and nonanticipativity of scheduling results directly influence the operational feasibility of regional microgrids. To this end, this paper proposes a new multistage generation scheduling method for regional microgrids with renewables and ES, which can simultaneously guarantee the robustness and nonanticipativity of scheduling solutions. First, a feasibility proposition is established based on the backward derivation thoughts, which addresses the feasibility requirements of microgrids against uncertainties of renewables and loads. Second, based on this feasibility proposition, a scenario-based multistage robust scheduling model with robust and nonanticipative constraints is presented, in which the uncertainties of transaction prices, renewables, and loads are simulated via representative scenarios to guarantee the economic performance of scheduling results. Third, with on/off decisions of thermal units as well as safe ranges of ES energy levels and thermal outputs derived from the scheduling model, a real-time rolling economic dispatch model is established to determine active and reactive power as well as nodal phase voltage values. Numerical tests implemented on a real regional microgrid illustrate efficacy of the proposed method.

Automated summary

This paper proposes a new multistage generation scheduling method for regional microgrids with renewables and energy storage that can ensure robustness and nonanticipativity of scheduling solutions. A feasibility proposition and a scenario-based multistage robust scheduling model are established to address uncertainties and guarantee economic performance of scheduling results. Numerical tests demonstrate the efficacy of the proposed method.