Stochastic optimal scheduling of wind power and pumped-storage hydropower complementary systems with multiple uncertainties

Lu, Na; Su, Chengguo; Guo, Chaoyu; Wang, Peilin; Wu, Huijun; Sui, Quan

doi:10.1016/j.est.2023.110060

Journal of Energy Storage

2024

DOI: 10.1016/j.est.2023.110060

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Stochastic optimal scheduling of wind power and pumped-storage hydropower complementary systems with multiple uncertainties

Na Lu,

Chengguo Su,

Chaoyu Guo

et al.

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Cited by 3 publications

References 41 publications

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Day-ahead scheduling model for agricultural microgrid with pumped-storage hydro plants considering irrigation uncertainty

Wu,

Chen,

Lin

et al. 2024

Journal of Energy Storage

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Day-ahead scheduling model for agricultural microgrid with pumped-storage hydro plants considering irrigation uncertainty

Wu,

Chen,

Lin

et al. 2024

Journal of Energy Storage

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Dispatch optimization study of hybrid pumped storage-wind-photovoltaic system considering seasonal factors

Yue,

Li,

et al. 2025

Renewable Energy

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Economic Dispatch of Integrated Energy Systems Considering Wind–Photovoltaic Uncertainty and Efficient Utilization of Electrolyzer Thermal Energy

Li,

Xu,

Zhang

et al. 2024

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Currently, high levels of output stochasticity in renewable energy and inefficient electrolyzer operation plague IESs when combined with hydrogen energy. To address the aforementioned issues, an IGDT-based economic scheduling strategy for integrated energy systems is put forth. Firstly, this strategy establishes an IES consisting of coupled electricity, heat, hydrogen, and gas taking the hydrogen production electrolyzer’s thermal energy utilization into account. Second, to minimize the system’s overall operating costs, a deterministic scheduling model of the IES is built by taking into account the stepped carbon trading mechanism and the integrated demand response. Lastly, an optimal dispatch model is built using the information gap decision theory under the two strategies of risk aversion and risk seeking, taking into account the uncertainty of renewable energy generation. CPLEX is the solver used to solve the proposed model. After taking into account the effective use of thermal energy from the electrolyzer and loads demand response, the results show that the system carbon emission is reduced by 2597.68 kg and the operating cost is lowered by 44.65%. The IES scheduling model based on IGDT can effectively manage costs while maintaining system risk control, all while accommodating decision-makers’ varying risk preferences. This study can provide a useful reference for the research related to the scheduling of the IES low-carbon economy.

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Stochastic optimal scheduling of wind power and pumped-storage hydropower complementary systems with multiple uncertainties

Cited by 3 publications

References 41 publications

Day-ahead scheduling model for agricultural microgrid with pumped-storage hydro plants considering irrigation uncertainty

Day-ahead scheduling model for agricultural microgrid with pumped-storage hydro plants considering irrigation uncertainty

Dispatch optimization study of hybrid pumped storage-wind-photovoltaic system considering seasonal factors

Economic Dispatch of Integrated Energy Systems Considering Wind–Photovoltaic Uncertainty and Efficient Utilization of Electrolyzer Thermal Energy

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