A ramp capability-aware scheduling strategy for integrated electricity-gas systems

Mingyang Zhang, Ming Zhou, Zhaoyuan Wu, Hongji Yang and Gengyin Li

Energy, 2022, vol. 241, issue C

Abstract: The deepening of the electricity-gas coupling provides a new dimension of system operational flexibility, but it also exacerbates the deliverability and availability issues on flexible ramping capabilities if the two systems are not operated coordinately. This paper presents a novel scheduling strategy to properly allocate ramp capabilities in integrated electricity-gas systems (IEGS) to tackle the uncertainty and variability of wind power. First, a polygon-based approach is introduced to identify the most severe ramping events taking wind power temporal correlation into account. To reduce the conservativeness, an adjustable polygon-based approach is further proposed to formulate the adjustable ramp capabilities constraints, which are subsequently integrated into the scheduling model. Then, a robust ramp capability-aware day-ahead IEGS scheduling model that comprehensively considers the uncertainties of wind power and gas load to ensure adequate ramp capabilities is developed, by which preventive plans for wind farms that serve as operational guidelines are derived by a geometric method while scheduling conventional units. The numerical results demonstrate the merits of the proposed method for dealing with ramping events and lowering the total cost in an uncertain environment. Compared to current approaches, the proposed method can slash the number of ramp shortages by about 50%.

Keywords: Flexible ramp; Integrated energy systems; Preventive plan; Robust optimization; Temporal correlation; Wind power (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:241:y:2022:i:c:s0360544221030620

DOI: 10.1016/j.energy.2021.122813

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