Optimal black start strategy for microgrids considering the uncertainty using a data-driven chance constrained approach

摘要: Microgrids may suffer from full blackouts when confronted with unexpected disruptions due to man-made faults or natural disasters. How quickly restore the power supply of microgrids by making use local distributed energy resources (DERs) is therefore a practical issue help ride through blackouts. Accordingly, this study proposes novel black start strategy for determine restoration sequence and optimally allocate DERs after In particular, uncertainty output renewable sources considered using data-driven chance-constrained approach are integrated. The proposed only utilises historical data does not need any prior knowledge about true probability distribution uncertainty. addition, affine-based techniques sample-dependent band functions developed convert problem into tractable mixed-integer linear programming problem. Finally, numerical experiments based on two microgrid test systems performed validate effectiveness model.