Open AccessComprehensive optimization of distributed generation considering network reconstruction based on Archimedes optimization algorithm
Author(s) -
Yingliang Li,
Hao Zhu,
Biao Wang,
Kang Wang,
Weixu Kong,
XiaoMeng Wu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/647/1/012031
Subject(s) - control reconfiguration , particle swarm optimization , distributed generation , computer science , mathematical optimization , multi swarm optimization , voltage , algorithm , coding (social sciences) , power (physics) , power loss , mathematics , engineering , embedded system , electrical engineering , statistics , physics , quantum mechanics
To mitigate the effect of the distributed generation (DG) connection on the voltage profile and power loss, the DG optimal configuration and network reconfiguration are used in distribution automation. In this paper, a new optimization method named Archimedes Optimization Algorithm (AOA) is proposed, unifying the DG optimal configuration and network reconfiguration. The DG locations and capacities are coded by integral and real numbers simultaneously in the proposed method. The integer mesh-network coding method is integrated into the new method to solve the network reconfiguration problem. The new method is compared with the Improved Genetic Algorithm (IGA) as well as the Particle Swarm Optimization (PSO). Results demonstrate that the proposed method has advantages in improving the voltage profile and reducing the power loss.