Multi-objective Distributionally Robust Optimal Allocation for Wind-storage Microgrids Considering Topological Structure Selection

To address the issues of the insufficiency in reliability and uncertainty in wind power under existing configuration methods, a multi-objective configuration method for power supply assurance wind-storage microgrids is proposed. The proposed method accounts for topological structure selection and distributionally robust chance constraints (DRCCs). First, an optimal configuration model for power supply assurance wind-storage Microgrids with the target of microgrid failure rate, net equal annual cost, and power loss is established, aiming to achieve the optimal performance of the microgrid system in reliability, economy and energy saving. Secondly, given the significant impact of the topological structure on microgrid reliability, structural variables are introduced into the aforementioned optimization model to improve the reliability and configuration flexibility of the microgrid. Subsequently, a DRCC model based on Wasserstein distance is constructed to address the uncertainty of wind power. The DRCC model is linearized using the CVaR-Slim convex approximation approach. Finally, taking a high-rise commercial office building as an example, the NSGA-Ⅱ algorithm is combined with multi-attribute fuzzy decision-making (MAFDM) algorithm to solve the optimization model. The comparative analysis of the optimization results verifies the effectiveness of the proposed microgrid optimal configuration method.