Multi-agent and ant colony optimization for ship integrated power system network reconfiguration
Zheng Wang, Zhiyuan Hu, Xuanfang Yang
Abstract
Electric power is widely used as the main energy source of ship integrated power system (SIPS), which contains power network and electric power network. SlPS network reconfiguration is a non-linear large-scale problem. The reconfiguration solution influences the safety and stable operation of the power system. According to the operational characteristics of SIPS, a simplified model of power network and a mathematical model for network reconfiguration are established. Based on these models, a multi-agent and ant colony optimization (MAACO) is proposed to solve the problem of network reconfiguration. The simulations are carried out to demonstrate that the optimization method can reconstruct the integrated power system network accurately and efficiently.