Economic dispatch model for a hydropower-wind-photovoltaic system with pumping installations to respond to uncertainties

Jinhui Hu, Kun Wu, Weijian Yan, Zhentong Wu and Yulei Xie

Energy, 2025, vol. 334, issue C

Abstract: Mitigating the impact of inherent uncertainties on the economic and stable operation of mature renewable energy systems is a critical issue. In this study, a hybrid renewable energy system (HRES) economic dispatch model is proposed to address multi-uncertainties through a two-stage robust optimization approach. Pumping installations are incorporated to enhance operational flexibility within an integrated system comprising cascaded hydropower plants, PV power stations, and wind power stations. Furthermore, the application of robust optimization ensures operational stability and economic efficiency under uncertainty. The maximum available wind and PV power output, and power load demand, as key uncertainties, are explicitly modeled using an uncertainty set. The nested column-and-constraint generation (NC&CG) algorithm is employed as the solution methodology. Simulation studies based on a real cascaded hydropower plant in Southern China are conducted to validate the effectiveness of the model and the solution algorithm. The outcomes of the two-stage robust optimization provide the day-ahead operational strategies and the identification of the worst-case scenario. Numerical results demonstrate that, this model can effectively adapt to various scenarios of uncertainty factors, reduce overall operational costs, and enhance the system's economic performance and reliability.

Keywords: Two-stage robust optimization; Nested column-and-constraint generation; Hybrid renewable energy system; Uncertainty; Economic dispatch (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:334:y:2025:i:c:s0360544225033821

DOI: 10.1016/j.energy.2025.137740

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