Reactive power collaborative optimization control method for multi-level voltage distribution network based on MTS algorithm

In order to address the issue of reactive power imbalance that may occur between different voltage levels in a multi-level voltage distribution network, this paper proposes a reactive power collaborative optimization control method for multi-level voltage distribution networks based on the Modified Tabu Search (MTS) algorithm. This method addresses the characteristics of long transmission distance, multiple voltage reduction levels, and complex operating states in distribution networks. By comprehensively considering both voltage quality and network losses, a corresponding mathematical model for reactive power optimization control is established. By utilizing the memory guided search strategy and taboo frequency restriction information of MTS algorithm, the blindness of global search is effectively avoided. The experimental results show that the algorithm exhibits good feasibility and superiority in reactive power collaborative optimization control of multi-level voltage distribution networks, which can significantly improve the voltage quality of the distribution network, reduce network losses, and improve the overall operating efficiency of the system.