Adaptive Robust Dispatch of Integrated Energy System Considering Uncertainties of Electricity and Outdoor Temperature

The integrated energy system (IES) has bright prospects in engineering applications for its excellent performance in energy efficiency and renewable energy consumption. In the IES, the thermal comfort is affected by the heating power, buildings parameters, and outdoor temperatures simultaneously. Th...

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Bibliographic Details
Published in:IEEE transactions on industrial informatics 2020-07, Vol.16 (7), p.4691-4702
Main Authors: Lu, Shuai, Gu, Wei, Zhou, Suyang, Yao, Shuai, Pan, Guangsheng
Format: Article
Language:English
Subjects:
Adaptive robust dispatch
Adaptive systems
Buildings
District heating
district heating network
Dynamic characteristics
Energy consumption
integrated energy system (IES)
Integrated energy systems
Optimization
Parameter uncertainty
Pipelines
Resistance heating
Robustness
Temperature
Thermal comfort
Turbines
uncertainties
Uncertainty
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Summary:The integrated energy system (IES) has bright prospects in engineering applications for its excellent performance in energy efficiency and renewable energy consumption. In the IES, the thermal comfort is affected by the heating power, buildings parameters, and outdoor temperatures simultaneously. Therefore, the uncertainty of the outdoor temperature will bring some adverse effects on thermal comfort, which need to be considered in the dispatch decision of the IES. In this article, we propose a day-ahead adaptive robust dispatch model (ARDM) for the IES to make a dispatch plan under the uncertainties of the net electrical-load and outdoor temperature, with the aim of guaranteeing the safe operation of IES and the thermal comfort of end-users. The thermal dynamic characteristics of the district heating network and buildings are utilized to provide operational flexibility and improve economic performance. To decrease the conservatism of dispatch results, the multi-interval uncertainty set is introduced to model the uncertainties. The ARDM model is a two-stage robust optimization with a linear recourse problem, and the column-and-constraint generation method is used to solve it. Two cases of different scale are studied to verify the effectiveness and advantages of the proposed method.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2019.2957026