Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (2): 489-496.doi: 10.23919/JSEE.2022.000048

• RELIABILITY • Previous Articles    

Multi-agent and ant colony optimization for ship integrated power system network reconfiguration

Zheng WANG(), Zhiyuan HU(), Xuanfang YANG()   

  1. 1 School of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China
  • Received:2020-07-09 Accepted:2022-02-14 Online:2022-05-06 Published:2022-05-06
  • About author:|WANG Zheng was born in 1978. He received his doctor’s degree from Huazhong University of Science and Technology in 2014. He holds a Ph.D. degree and is an associate professor in Naval University of Engineering. His research interests are intelligent control technology and network monitoring technology. E-mail: marchy618@168.com||HU Zhiyuan was born in 1993. He received his B.E. degree from Naval Academy of Aeronautical Engineering in 2014. Now he is an M.S. degree candidate at Naval University of Engineering. His research interests include control technology of unmanned underwater vehicle, intelligent control algorithm, and deep learning. E-mail: 757308793@qq.com||YANG Xuanfang was born in 1968. He received his Ph.D. degree from Huazhong University of Science and Technology in 2006. He is a doctor and a professor in Naval University of Engineering. His research interests are ship power positioning control system and intelligent control technology. E-mail: yy_xxff@163.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (41774021; 41974005)

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. SIPS 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.

Key words: ship integrated power system (SIPS), multi-agent and ant colony optimization (MAACO), network reconfiguration, ring grid, fault recovery