Optimal Scheduling of AC/DC Hybrid Microgrids Based on Objective Cascade Method

Microgrids are key network structures for promoting distributed power generation and renewable energy integration, and for achieving the intelligentization of traditional power grids. Faced with microgrid clusters with multiple operators, the regional distribution network energy management center needs to optimize the system to coordinate the interests of all parties. This paper aims for optimal economic benefits, considers the randomness of distributed power sources, uses box uncertainty sets to handle uncertainty, and introduces the Analytical Target Cascading (ATC) method to build a two-layer optimization scheduling model. The upper layer model is responsible for regional scheduling optimization, and the lower layer model optimizes AC/DC microgrids, achieving independent optimization. Case studies have verified the algorithm's rapidity and good convergence.