Robust Unit Commitment of Integrated Electric-Heat Systems With Weather Parameter Driven Uncertainties

Chuang Liu, Cheng Wang, Yuzhang Lin, Tianshu Bi

Research output: Contribution to journalArticlepeer-review


The integrated electric-heat system (IEHS) is currently one of the most prevalent realizations of a multienergy system, however, most of the existing research merely modeled the source, network, and demand sides of IEHS independently, without further exploring the internal correlation built up by the regional weather parameters. This article proposed a two-stage weather-driven risk-constrained robust unit commitment (WRRUC) model. Compared with the existing RUC works for IEHSs, two main contributions are made in our work: 1) a unified weather-driven uncertainty modeling method is proposed for the IEHS, which could decrease the conservativeness of the robust decision-making framework; 2) the uncertainty set boundaries are set as adaptive variables and the aftermath of unmodeled uncertainties is quantified by additional operational risk term in the objective function. The proposed WRRUC model is solved by the column-and-constraint generation algorithm. Compared with other off-the-shelf UC models, the summation of operational costs and risks of the test system is remarkably lower than the RUC case, verifying the effectiveness of the proposed weather-driven unified modeling of uncertainties and adaptive robust dispatch framework.

Original languageEnglish (US)
JournalIEEE Systems Journal
StateAccepted/In press - 2021


  • Adaptive robust scheduling
  • Cogeneration
  • Renewable energy sources
  • Solar radiation
  • Uncertainty
  • Ventilation
  • Wind speed
  • Windows
  • integrated electric-heat system
  • residential thermal demand
  • unit commitment (UC)
  • weather-driven

ASJC Scopus subject areas

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


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