Decentralized strategy for real-time outages management and scheduling of networked microgrids

Abstract

This paper presents a decentralized methodology in a parallel manner to provide an outage management strategy with the scheduling of networked microgrids (NMGs). Integrating MGs require a trustworthy strategy to determine the optimal amount of transaction power among them. Besides that, they are vulnerable versus unintentional tie-lines outages. The proposed approach addresses these challenges. The MGs' optimization problem is decomposed into the day-ahead normal operation scheduling as a master problem (MP) and real-time islanded examination as a sub-problem (SP) using Benders decomposition algorithm perspective. Decentralized scheduling with a parallel solution based on analytical target cascading algorithm is implemented on both MP and SP to coordinate the operation of NMGs. In the master problem, all NMGs are typically (grid-connected mode) and separately scheduled. The obtained results are also separately examined in the sub-problem to compute mismatches between generation and demand in the possible real-time islanding situations. Then the MP is revised in the next iteration according to existing mismatches in the previous iteration. This iterative procedure continues until all of the mismatches reach zero at the same iteration. The proposed methodology's performance and effectiveness are investigated and validated by four different case studies.