Transmission Expansion Planning Based on Light Robust Optimization Modelling Considering Microgrid Capacity Expansion

This paper proposed a 20-year transmission expansion planning (TEP) in a hybrid power system with microgrid (MG) integration based on light robustness optimization modeling considering microgrid capacity expansion (MGCE). The proposed light robust optimization model (LRO) can coordinate the economy and robustness of the TEP problem, and alleviate the over-conservative issue compared with the standard robustness optimization model (RO). Firstly, TEP considering MGCE without uncertainty is selected as the standard method to achieve a standard planning scheme. Then, the MG power uncertainty represented by some interval uncertainty set is considered and an LRO-based TEP model is constructed, in which a cost tolerance parameter is introduced to relax the total investment s to balance the TEP scheme's economy and robustness. The proposed LRO model is solved using the Matlab YALMIP/GUROBI optimization toolbox. An 18-bus test system is used to validate the feasibility and effectiveness of the proposed model. In addition, a critical solution for LRO can be determined by investigating the relationship between cost tolerance and the infeasible objective.