Multi-Timescale Coordinated Operation of An Integrated Energy System Considering Multiple Uncertainties

Jiawei Wang*, Shi You, Yi Zong, Chresten Traholt, Cuo Zhang, Zhao Yang Dong

*Corresponding author for this work

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


Combined heat and power (CHP) plants as well as wind farms are important units in an integrated energy system (IES), for their high efficiency of generation and low carbon emissions. However, CHP plants and wind farms are facing low profits due to uncertainties of electricity prices and renewable power generation as well as penalty of real-time power imbalance. In this paper, a multi-timescale coordinated operation framework is proposed to dispatch the CHP plant and wind farm in a deregulated day-ahead heat market and a real-time balancing electricity market. In the framework, the portfolio operation strategy that operates the portfolio jointly in the market is applied to increase the real-time operation profits. Multiple uncertainties of heat load, wind power generation, day-ahead electricity price, up- and down-regulation prices are taken into account for the optimal operation. A stochastic optimization method is applied to solve the proposed coordinated operation problem. The simulation results verify that the proposed method can achieve a profitable operation in the markets and a highly robust operation against the multiple uncertainties.
Original languageEnglish
Title of host publicationProceedings of 2020 IEEE Power & Energy Society General Meeting
Number of pages5
Publication date2020
ISBN (Print)9781728155081
Publication statusPublished - 2020
Event2020 IEEE Power & Energy Society General Meeting - Virtual event, Montreal, Canada
Duration: 2 Aug 20206 Aug 2020


Conference2020 IEEE Power & Energy Society General Meeting
LocationVirtual event
Internet address
SeriesIeee Power and Energy Society General Meeting


  • Combined heat and power
  • District heating
  • Portfolio operation
  • Stochastic optimizations
  • Wind power


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