Your Location:
Home >
Browse articles >
Performance Optimization of Endoreversible Simple MCBC Coupled to Variable-temperature Reservoirs Based on NSGA-Ⅱ Algorithm
Power Generation Technology   Vol. 41, Issue 3, Pages: 301-316(2020)
Power Generation and Environmental Protection|Updated:2025-07-04
  • Export

  • Collection

  • Album

    • Performance Optimization of Endoreversible Simple MCBC Coupled to Variable-temperature Reservoirs Based on NSGA-Ⅱ Algorithm

    • DOI:10.12096/j.2096-4528.pgt.19087    

      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 >

27

Views

94

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Outline

Related Articles

Distributed Reinforcement Learning Based on High-Dimensional Reduction Mapping for Optimal Power Flow Analysis of Wind-Solar-Storage Systems
Multi-Objective Optimization Scheduling Strategies for Distribution Networks With High-Density Photovoltaics and Energy Storage
Multi-Objective Optimization Analysis of Gas-Steam Combined Cycle Power Generation Systems
Multi-Time Scale Optimization Strategy for New Distribution System Oriented to Photovoltaic Consumption and Low Carbon Demand Response of Ice Storage Air Conditioning Groups
Study on Multi-Objective Optimization of High-Efficiency and Low-NOx Emissions of Power Station Boilers Based on Least Squares Support Vector Machines

Related Author

LI Hong
WANG Wenliang
YANG Jianfeng
CHEN Heng
LIU Kewen
HOU Langbo
SUN Hao
LI Jibin

Related Institution

School of Automation and Electrical Engineering, Lanzhou Jiao Tong University
School of Energy, Power and Mechanical Engineering, North China Electric Power University, Changping District
State Grid Beijing Electric Power Research Institute, Fengtai District
Anshan Cadre Environment Energy Science and Technology Co., Ltd.
School of Materials and Metallurgy, University of Science and Technology Liaoning