Le Guo
5 Papers
37 Citations
Le Guo is an academic researcher. The author has contributed to research in topics: Stochastic programming & Hydropower. The author has an hindex of 4, co-authored 4 publications.
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Papers
Identifying long-term effects of using hydropower to complement wind power uncertainty through stochastic programming
TL;DR: In this article, the authors identified the tradeoff effects of hydropower and wind power integrated operation by establishing a framework of coupling models, where a martingale model that captures the evolution of forecasting uncertainty was used to generate synthetic scenarios of uncertain load demand.
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Stochastic Programming with a Joint Chance Constraint Model for Reservoir Refill Operation Considering Flood Risk
TL;DR: In this paper, a stochastic optimization model for reservoir refill operation with the objective of maximizing the expected synthesized energy production for a cascade system of hydropower stations while considering flood risk was developed.
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Exploration and attribution of synergistic gains from joint optimal operation of downstream Jinsha River cascade and Three Gorges cascade reservoirs for hydropower generation
TL;DR: In this article, the authors explored and attributed the driven mechanism of synergism from joint operation of a multi-hydropower system, and quantified synergistic gains in spatial, temporal, and interannual scales by establishing and solving an individual and a joint reservoir operation model.
Scenario‐Based Multiobjective Robust Optimization and Decision‐Making Framework for Optimal Operation of a Cascade Hydropower System Under Multiple Uncertainties
Bin Xu,Xin Huang,Ping-an Zhong,Feilin Zhu,Jianyun Zhang,Xiaojun Wang,Guoqing Wang,Yufei Ma,Qingwen Lu,Han Wang,Le Guo +10 more
TL;DR: In this article , a multiobjective robust optimization (RO) and decision-making framework comprising series of models for risk analysis, robust control, and decision making was proposed to inform operation of cascade hydropower systems.
Analysis of a Stochastic Programming Model for Optimal Hydropower System Operation under a Deregulated Electricity Market by Considering Forecasting Uncertainty
TL;DR: In this paper, a stochastic programming model that considers the influence of uncertain streamflow on hydropower energy production and the effect of variable spot energy prices on the cost of energy purchase (energy shortfall) is proposed.