Risk-Averse Multiobjective Optimization for Integrated Electricity and Heating System: An Augment Epsilon-Constraint Approach-Reference-Cited by-同舟云学术

Risk-Averse Multiobjective Optimization for Integrated Electricity and Heating System: An Augment Epsilon-Constraint Approach

Published:2022-12 Issue:4 Volume:16 Page:5142-5153
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Si Fangyuan¹^ORCID,Wang Jinkuan¹^ORCID,Han Yinghua²,Zhao Qiang³

Affiliation:

1. College of Information Science and Engineering, Northeastern University, Shenyang, China

2. School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China

3. School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China

Funder

National Natural Science Foundation of China

Colleges and Universities in Hebei Province Science Research Program

Foundation of Northeastern University at Qinhuangdao

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/9979155/09676508.pdf?arnumber=9676508

Reference41 articles.

1. Initiative optimization operation strategy and multi-objective energy management method for combined cooling heating and power

2. A Distributionally Robust Optimization Model for Unit Commitment Considering Uncertain Wind Power Generation

3. Robust Scheduling of Integrated Electricity and Heating System Hedging Heating Network Uncertainties

4. Combined multi-objective optimization and robustness analysis framework for building integrated energy system under uncertainty

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