Journal Article10.1016/J.ENCONMAN.2019.04.068
A coordinated optimization framework for flexible operation of pumped storage hydropower system: Nonlinear modeling, strategy optimization and decision making
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TL;DR: A novel optimization framework to derive optimal operating policies for pumped storage hydropower system, which is divided into three coordinated stages: nonlinear modeling, strategy optimization and decision making is proposed.
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About: This article is published in Energy Conversion and Management. The article was published on 15 Aug 2019. The article focuses on the topics: Evolutionary algorithm.
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Citations
A hybrid approach for multi-step wind speed forecasting based on two-layer decomposition, improved hybrid DE-HHO optimization and KELM
TL;DR: Through the application on three datasets collected from Sotavento Galicia with different prediction horizons and comparison with six related models, it is attested that the proposed hybrid prediction model is effective and suitable for multi-step short-term wind speed forecasting.
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A multi-objective optimization strategy for the optimal control scheme of pumped hydropower systems under successive load rejections
TL;DR: A refined nonlinear model for successive load rejections is constructed by incorporating a guaranteed calculation for regulation (GCR), and the effects of the rejection parameters on the transient processes of pumped storage hydropower systems are investigated quantitatively.
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Nonlinear modeling and multi-scale damping characteristics of hydro-turbine regulation systems under complex variable hydraulic and electrical network structures
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TL;DR: An accurate quantitative evaluation method of damping for complex systems is proposed to overcome the application limitations of traditional methods and the results show that the increase in the complexity of the hydraulic or electrical network structure will reduce the damping of the hydropower unit.
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Performance enhancement of pumped storage units for system frequency support based on a novel small signal model
TL;DR: A novel tool for performance enhancement of PSU, which may have potential value in the stability of renewable energy systems with multiple hydropower units, is supplied.
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A two-stage numerical simulation framework for pumped-storage energy system
TL;DR: The results demonstrate that the proposed simulation framework can improve the overall modeling precision in characterizing transient behaviors of rotation speed and hydraulic pressures significantly compared with the traditional nonlinear modeling method for the pumped-storage plant.
42
References
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
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Pumped hydro energy storage system: A technological review
TL;DR: In this article, the authors reviewed the existing global pumped hydro energy storage capacities, technological development, and hybrid systems and recommended the best possible options for small autonomous island grids and massive energy storage, where the energy efficiency of PHES varies in practice between 70% and 80%.
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An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction
TL;DR: The obtained results reveal that the EELM model is a robust expert model and can be embraced practically in real-life water resources management and river sustainability decisions.
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TL;DR: A new way to check the consistency of an intuitionistic preference relation is proposed and an automatic procedure to repair the inconsistent one is introduced and a novel normalizing rank summation method is developed, on which the priorities of the hierarchy in the IFAHP are derived.
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Rainfall–runoff modeling using artificial neural network coupled with singular spectrum analysis
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TL;DR: This paper attempts to eliminate the lag effect from two aspects: modular artificial neural network (MANN) and data preprocessing by singular spectrum analysis (SSA) and shows that MANN does not exhibit significant advantages over ANN, and it is demonstrated that SSA can considerably improve the performance of prediction model and eliminate thelag effect.
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