Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective

Haifeng Qiu, Wei Gu, Pengxiang Liu, Qirun Sun, Zhi Wu and Xi Lu

Energy, 2022, vol. 251, issue C

Abstract: Multi-uncertainties impose enormous challenges to the optimal scheduling of power systems, and two-stage robust optimization (TSRO) theory has been widely investigated and employed in this field as a valid processing approach. This paper primarily reviews the research on TSRO scheduling of power systems. Firstly, the general formulations and solution algorithms for multi-type TSRO models are summarized and categorized. Subsequently, various modeling methods for continuous and discrete uncertainties in power systems are generalized, along with their characteristics and advantages clarified by expounding application scopes and implementation values. Next, research work and achievements of TSRO in power system scheduling are reviewed from four aspects, i.e., unit commitment, economic dispatch, active/reactive power coordination and resilient dispatch, and the development and practicality of TSRO in the four directions are detailedly combed combining latest literature. Finally, according to the aforementioned analysis, existing research gaps are discussed from the aspects of formulation morphology, solution algorithm, uncertainty modeling and extended application, and the outlook of future work is provided accordingly.

Keywords: Power systems; Optimal operation; Uncertainty scheduling; Robust optimization; Two-stage (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:251:y:2022:i:c:s0360544222008453

DOI: 10.1016/j.energy.2022.123942

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