Optimal performance of a self-healing microgrid

• Main Authors: Sheetal Chandak, Pravat Kumar Rout
• Format: Article
• Language: English
• Published: Wiley 2019-12-01
• Series: IET Smart Grid
• Subjects: graph theory; distributed power generation; optimisation; load flow; evolutionary computation; distribution networks; power generation control; power distribution faults; capacitated graph; loading capacity; maximum power flow theorem; centrality index; operational constraints; system stability; restoration algorithm; 13-bus microgrid system; irregular power generation; 39-bus system; optimisation strategies; optimal performance; self-healing microgrid; multiobjective binary differential evolution algorithm; restoration path; interrupted loads; switching operations; discrete optimisation strategy; power network
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2019.0177

This study proposes a multi-objective binary differential evolution algorithm to reconfigure the system and restore the loads within the stand-alone microgrid. The approach aims to attain a restoration path having maximum power flow with the minimum number of interrupted loads and switching operations. To execute the discrete optimisation strategy, the power network has been reframed as a capacitated graph, where the edges are capacitated by the loading capacity of the feeder. The strategy implements the maximum power flow theorem, which has been enhanced using the centrality index. The major operational constraints of the microgrid have been strictly followed to maintain system stability. The proposed restoration algorithm is examined on an islanded 13-bus microgrid system with the two test scenarios of irregular power generation, and the fault instance is isolating a healthy section of a microgrid. Moreover, the efficacy of the proposed approach has been further examined on a 39-bus system, and the results are compared with the other optimisation strategies implemented for restoration.