@Article{cmc.2020.010724,
AUTHOR = {Fuquan Huang, Zijun Liu, Tinghuang Wang, Haitai Zhang, Tony Yip},
TITLE = {The Optimization Study about Fault Self-Healing Restoration of  Power Distribution Network Based on Multi-Agent Technology},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {1},
PAGES = {865--878},
URL = {http://www.techscience.com/cmc/v65n1/39600},
ISSN = {1546-2226},
ABSTRACT = { In order to quickly and accurately locate the fault location of the distribution 
network and increase the stability of the distribution network, a fault recovery method 
based on multi-objective optimization algorithm is proposed. The optimization of the 
power distribution network fault system based on multiagent technology realizes fast 
recovery of multi-objective fault, solve the problem of network learning and parameter 
adjustment in the later stage of particle swarm optimization algorithm falling into the 
local extreme value dilemma, and realize the multi-dimensional nonlinear optimization of 
the main grid and the auxiliary grid. The system proposed in this study takes power 
distribution network as the goal, applies fuzzy probability algorithm, simplifies the 
calculation process, avoids local extreme value, and finally realizes the energy balance 
between each power grid. Simulation results show that the Multi-Agent Technology 
enjoys priority in restoring important load, shortening the recovery time of power grid 
balance, and reducing the overall line loss rate of power grid. Therefore, the power grid 
fault self-healing system can improve the safety and stability of the important power grid, 
and reduce the economic loss rate of the whole power grid.},
DOI = {10.32604/cmc.2020.010724}
}