Application of Improved APO Algorithm in Vulnerability Assessment and Reconstruction of Microgrid

2017 3rd International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Xie, Jili^1 ; Ma, Hailing^2

Key Laboratory of Engineering Dielectrics and Its Application, Ministry of Education, Harbin University of Science and Technology, Harbin Heilongjiang, China^1

Institute of Nuclear and New Energy Technology, Tsinghua University, China^2

关键词: Artificial physics optimizations;    Global search ability;    Micro grid;    Optimization algorithms;    Pre-mature convergences;    Reactive power optimization;    reconfiguration;    Vulnerability assessments;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/108/5/052109/pdf
DOI  :  10.1088/1755-1315/108/5/052109

来源: IOP

【 摘 要 】

Artificial Physics Optimization (APO) has good global search ability and can avoid the premature convergence phenomenon in PSO algorithm, which has good stability of fast convergence and robustness. On the basis of APO of the vector model, a reactive power optimization algorithm based on improved APO algorithm is proposed for the static structure and dynamic operation characteristics of microgrid. The simulation test is carried out through the IEEE 30-bus system and the result shows that the algorithm has better efficiency and accuracy compared with other optimization algorithms.