Computational Efficiency Improvement for Two‐Stage Stochastic Optimal Operation of Integrated Electricity and Heat System

Menglin Zhang, Qiuwei Wu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The stochastic optimal operation of the integrated electricity and heat system utilizes a scenario set to represent the probability distribution of the wind power. However, when the number of scenarios increases, the optimization faces a huge computational burden due to the increased scenario constraints. This paper reduces the computational burden by identifying the inactive transmission line constraints. An analytical calculation
method is proposed for the identification, which considers the impact of power consumption of flexible devices on the power flow of transmission lines. In the proposed method, the outputs of generators and power consumption of flexible devices are decoupled with a relaxation in the power balance constraint. The proposed method was tested on the modified IEEE‐118 bus system, which improves the computational efficiency by approximately 60%
Original languageEnglish
Title of host publicationProceedings of 12th International Conference on Applied Energy
Number of pages4
Publication date2021
Publication statusPublished - 2021
Event12th International Conference on Applied Energy - Virtual event
Duration: 1 Dec 202010 Dec 2020
https://applied-energy.org/icae2020_cfp

Conference

Conference12th International Conference on Applied Energy
LocationVirtual event
Period01/12/202010/12/2020
Internet address

Keywords

  • Stochastic programming
  • Integrated electricity and power system
  • Inactive constraints identification
  • Analytical calculation

Fingerprint Dive into the research topics of 'Computational Efficiency Improvement for Two‐Stage Stochastic Optimal Operation of Integrated Electricity and Heat System'. Together they form a unique fingerprint.

Cite this