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

  • 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
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 regulated 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 Engineering 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 Bachelor 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
2021-11-18
Section
Renewable Power and Energy Systems