Your Location：
Home >
Browse articles >
Multi-objective Optimization of Electricity-Gas-Heat Integrated Energy System Based on Improved NSGA-Ⅱ Algorithm
Power Generation Technology   Vol. 41, Issue 2, Pages: 131-136(2020)
Key Technologies for Ubiquitous Power Internet of Things and Integrated Energy Systems|Updated：2025-07-04
|

  • Export

  • Collection

  • Album

    • Multi-objective Optimization of Electricity-Gas-Heat Integrated Energy System Based on Improved NSGA-Ⅱ Algorithm

    • DOI：10.12096/j.2096-4528.pgt.19052    

      CLC：

    Scan QR Code

  •  
  •  
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

68

Views

280

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Outline

Related Articles

Distribution Networks Fault Recovery Strategy Fused With Convolutional Neural Networks-Bi-Directional Long Short-Term Memory-Attention Net Load Forecasting
Optimization Scheduling of Cold-Heat-Electricity Integrated Energy System Under Pumped Storage Gray Start
Low-Carbon Economic Scheduling of Integrated Energy System Considering Diversified Utilization of Hydrogen Energy
A Fast Optimization Algorithm for Fin Structure of Phase Change Thermal Storage
Research on New Integrated Energy System With Multi-power Combined Supply of Industrial Parks

Related Author

SHI Pengfei
CHU Yundi
DING Zekai
LIN Zhengyu
LÜ Zhan
HOU Shixi
HOU Hui
WANG Yan

Related Institution

State Grid Jiangsu Nanjing Electric Power Supply Company
College of Artificial Intelligence and Automation, Hohai University
School of Automation, Wuhan University of Technology
School of Electrical and Electronic Engineering, Huazhong University of Science and Technology
Department of Electrical Engineering and Automation, Aalto University, Espoo 00076, South Finland