Optimal Allocation of Distributed Energy Supply System Under Uncertainty Based Improved Gray Wolf Algorithm

Authors

  • Xiao Xue School of Information Engineering, Nanyang Institute of Technology, Nanyang 473004, Henan, China
  • Yangbing Zheng College of Mechanical and Electronic Engineering, Nanyang Normal University, Nanyang 473061, Henan, China and Qinghai Wandong Ecological Environment Development Co.LTD, Geermu 816000, Qinghai, China
  • Chao Lu Nanyang Zehui Technology Co., LTD, Nanyang, 473000, Henan, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.37215

Keywords:

Optimal allocation, distributed energy supply system, gray wolf algorithm.

Abstract

In order to improve the economical performance of distributed energy supply
system under uncertainty, the improved gray wolf algorithm is constructed for
optimal allocation of distributed energy supply system. The relating research
progress is summarized firstly, and effect of improved gray wolf algorithm
on optimal allocation of distributed energy supply system are studied. The
optimal allocation model of distributed energy supply system is constructed
considering fuel consumption, operation and maintenance cost, environment
penalty cost, and power grid energy exchange function, and the uncertain
factor is processed based on scienario method. And then the improved gray
wolf algorithm is designed, and the initial strategy of population and the reg-
ulated method of main parameters are improved. Finally, simulation analysis
is carried out, simulation results show that the proposed model can obtain
best optimal allocation effect of system.

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Author Biographies

Xiao Xue, School of Information Engineering, Nanyang Institute of Technology, Nanyang 473004, Henan, China

Xiao Xue, Associate Professor of School of Electronic and Electrical Engi-
neering in Nanyang Institute of Technology, Nanyang, China. He received
his Bachelor of Engineering Science in Electronic Information Engineering
from Nanyang Institute of Technology, Henan, China, in 2003; the Doctor
Degree of Engineering in detection technology and automatic equipment
from China University of Geosciences, Wuhan, China, in 2015. His current
research interests include Detection technology, and intelligent control

Yangbing Zheng, College of Mechanical and Electronic Engineering, Nanyang Normal University, Nanyang 473061, Henan, China and Qinghai Wandong Ecological Environment Development Co.LTD, Geermu 816000, Qinghai, China

Yangbing Zheng, Associate Professor of control science and engineering,
with Nanyang Normal University, Nanyang, China. She received her Bach-
elor of Engineering Science in Electronic Information Engineering from
Nanyang Institute of Technology, Henan, China, in 2006; and the Doctor
Degree of Engineering in detection technology and automatic equipment
from China University of Mining and Technology, Beijing, China, in 2013,
respectively. Her current research interests include active robot control, and
nonlinear control.

Chao Lu, Nanyang Zehui Technology Co., LTD, Nanyang, 473000, Henan, China

Chao Lu, Engineer of Nanyang Zehui Technology Co., LTD. He received his
Bachelor of Engineering Science in electronic information engineering form
Nanyang Institute of Technology, Henan, China, in 2015.

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Published

2021-11-09

How to Cite

Xue, X. ., Zheng, Y., & Lu, C. . (2021). Optimal Allocation of Distributed Energy Supply System Under Uncertainty Based Improved Gray Wolf Algorithm. Distributed Generation &Amp; Alternative Energy Journal, 37(2), 381–400. https://doi.org/10.13052/dgaej2156-3306.37215

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