100% renewable energy: A multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power

• Published in: Applied energy Vol. 301; p. 117441
• Main Authors: Zhou, Yuzhou, Zhao, Jiexing, Zhai, Qiaozhu
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.11.2021
• Subjects: Cascade hydropower system; Multi-stage scheduling; Nonanticipativity; Renewable energy; Robustness; Multi-stage scheduling; Robustness; Renewable energy; Cascade hydropower system; Nonanticipativity
• ISSN: 0306-2619; 1872-9118
• DOI: 10.1016/j.apenergy.2021.117441

•A novel multi-stage scheduling method is presented for a multi-energy system.•Robustness and nonanticipativity are essential for multi-energy system operation security.•Proposed proposition accurately describes the relationship between hydropower outputs and system security.•Established models effectively guarantee both operation security and economy of the multi-energy systems. This paper explores a new multi-stage robust scheduling method for cascade hydropower system considering nonanticipativity. In the existing scheduling methods, the nonanticipativity and robustness of solutions are not considered simultaneously, which may result in infeasibility in the actual operation of energy system. And, due to concerns about operation security, the available reserve of the hydropower system are not fully utilized. To this end, this paper proposes a novel multi-stage robust scheduling method for cascade hydropower system to guarantee the feasibility of scheduling solutions and increase the utilization of hydropower reserves. Specifically, first, an important proposition is presented to accurately describe the relationship between the hydropower output and the operation security of electricity system, indeed, the nonanticipativity and robustness are considered against the uncertainties of loads and renewable outputs. Second, based on this proposition, a pre-scheduling model of cascade hydropower is established to ensure the security of the whole energy system against the uncertainties of natural inflows. Last, within the safe ranges, a real-time economic dispatch model is solved to obtain final scheduling decisions that guarantee both operation security and economy of energy system. Numerical tests implemented on a real energy system verify the effectiveness of proposed method.